{ "cells": [ { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "# ALminer Tutorial Notebook$^*$ \n", "\n", "* This tutorial notebook showcases [`alminer`](https://github.com/emerge-erc/ALminer)'s various functions with examples. \n", "* The documentation for all functions is compiled as a [glossary](#glossary) at the end of the tutorial and can be found on the [documentation page](https://alminer.readthedocs.io/en/latest/?badge=latest). \n", "* To work with the tutorial notebook interactively, click on _launch Jupyter Notebook_ badge in the top right.\n", "* In interactive mode, each cell can be executed by pressing Shift+Enter.\n", "* All fields in this tutorial are write-protected. To work on your own examples, go to the [workstation](#workstation) below, or click on _File > New Notebook > Python 3_ to create a new empty notebook.
\n", "\n", "$^*$ This Jupyter notebook may be outdated. The most up-to-date information can be found on [ALminer's documentation page](https://alminer.readthedocs.io/en/latest/?badge=latest)." ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "## Table of contents:\n", "0. [Load libraries](#libraries)
\n", "1. [Query tools](#query)
\n", " 1.1 [Query by target name](#target)
\n", " 1.2 [Query by position](#position)
\n", " 1.3 [Query by ALMA keywords](#keysearch)
\n", "2. [Filter & explore results](#analysis)
\n", " 2.1 [Explore results](#explore)
\n", " 2.2 [Summarize results](#summary)
\n", " 2.3 [Filter results](#filter)
\n", " 2.4 [Line coverage](#line_coverage)
\n", " 2.5 [Coverage of CO, 13CO, and C18O lines](#CO_lines)
\n", "3. [Plot results](#results)
\n", " 3.1 [Plot an overview of the observations](#plot_overview)
\n", " 3.2 [Plot an overview of a given line in the observations](#plot_line_overview)
\n", " 3.3 [Plot observed frequencies in each band](#plot_bands)
\n", " 3.4 [Plot observations in each band](#plot_observations)
\n", " 3.5 [Plot sky distribution](#plot_sky)
\n", "4. [Create reports](#reports)
\n", " 4.1 [Export results as a table](#save_table)
\n", " 4.2 [Save overview plots](#save_source_reports)
\n", "5. [Download data](#download)
\n", "6. [Advanced query features](#advanced)
\n", " 6.1 [Create and run your own TAP query](#create_query)
\n", " 6.2 [Convert results to ALminer format](#filter_results)
\n", "7. [Glossary of all functions](#glossery)
\n", "8. [Workstation](#workstation)" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "# 0. Load libraries " ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "deletable": false, "editable": false }, "outputs": [], "source": [ "import alminer\n", "import pandas\n", "from astropy.io import ascii" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "***\n", "\n", "# 1. Query tools \n", "\n", "This Section introduces three methods to query the ALMA archive:
\n", "* [1.1 - Query by target name (*alminer.target*)](#target)
\n", "* [1.2 - Query a catalog (*alminer.catalog*)](#catalog)
\n", "* [1.3 - Query by ALMA keywords (*alminer.keysearch*)](#keysearch)
\n", "\n", "#### General notes about the querying functions:\n", "* All querying functions search the ALMA archive for public data by default. To include both public and proprietary data in the search, set *public=None*. Similarly, to search for only propietary data, set *public=False*. \n", "* All querying functions search the ALMA archive for both published and unpublished data. To include only unpublished data, set *published=False*.\n", "* The querying functions will by default print a summary of the observations, including a list of target names. For large queries, it is useful to turn this feature off in order to not have a long list of targets printed to screen. To turn off this feature, simply set *print_targets=False*.\n", "* The queries return all possible observations in [PANDAS DataFrame](https://pandas.pydata.org/pandas-docs/stable/reference/frame.html) format that can be used to further narrow down your search as demonstrated in [Section 2](#explore).\n" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "## 1.1 Query by target name \n", "\n", "The `alminer.target` function allows one to query objects by name. This function uses the Astropy [SESAME resolver](http://cds.u-strasbg.fr/cgi-bin/Sesame) which searches multiple databases (Simbad, NED, VizieR) to obtain the coordinates of the object of interest, and then queries the ALMA archive for those coordinates and a search radius around them. The search radius is by default 1.0 arcminute, but can be modified using the *search_radius* keyword (in arcmin units). \n", "\n", "
\n", "\n", "
\n", "Details of target function\n", "\n", "* Description: Query targets by name.
\n", " * This is done by using the astropy SESAME resolver to get the target's coordinates and then the ALMA archive is queried for those coordinates and a search_radius around them. The SESAME resolver searches multiple databases (Simbad, NED, VizieR) to parse names commonly found throughout literature and returns their coordinates. If the target is not resolved in any of these databases, consider using the `keysearch` function and query the archive using the 'target_name' keyword (e.g. `keysearch({'target_name': sources})`).
\n", "
\n", "* Command:
\n", " * alminer.**target**(_sources, search_radius=1., point=False, public=True, published=None, print_query=False, print_targets=True_)
\n", "
\n", "* Parameters:
\n", " * **sources (list of str)** : list of sources by name. (IMPORTANT: sources names must be identified by at least one of Simbad, NED, or Vizier)
\n", " * **search_radius (float, optional, default: 1 arcmin)** : Search radius (in arcmin) around the source coordinates.
\n", " * **point (bool, optional, default: False)** : Search whether the specified position (ra, dec) is contained within any ALMA observations (*point=True*) or query all ALMA observations that overlap with a cone centred at the specified position (ra, dec) and extending the search_radius (*point=False*). In the case of *point=True*, the search_radius parameter is ignored. Note that *point=True* is much faster than *point=False* but the latter should be used if one is interested in searching for mosaics.
\n", " * **public (bool, optional, default: True)** : Search for public data (*public=True*), proprietary data (*public=False*), or both public and proprietary data (*public=None*).
\n", " * **published (bool, optional, default: None)** : Search for published data only (*published=True*), unpublished data only (*published=False*), or both published and unpublished data (*published=None*).
\n", " * **print_query (bool, optional, default: False)** : Print the ADQL TAP query to the terminal.
\n", " * **print_targets (bool, optional, default: True)** : Print a list of targets with ALMA data (ALMA source names) to the terminal.
\n", "
\n", "* Returns:
\n", " * **pandas.DataFrame** containing the query results.\n", "***\n", "\n", "
" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "### Example 1.1.1: query two sources by name" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "deletable": false, "editable": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "================================\n", "alminer.target results \n", "================================\n", "Target = Orion KL\n", "--------------------------------\n", "Number of projects = 32\n", "Number of observations = 89\n", "Number of unique subbands = 269\n", "Total number of subbands = 394\n", "36 target(s) with ALMA data = ['OrionKL', 'OMC1_SE', 'Orion H2O maser outburst', 'f3', 'f1', 'orion_kl', 'BN-KL', 'Orion_Source_I', 'BN', 'OMC1_NW', 'f11', 'f10', 'f13', 'f15', 'f14', 'f12', 'orion-IRc2', 'Orion_KL', 'OrionKL-SV', 'f23', 'Orion_BNKL_source_I', 'ONC', 'Orion_KL_Field_1_Orion_Hot_Core', 'Orion_KL_Field_2_SMA1', 'Orion_KL_Field_3_North-west_Clump', 'OMC-1_Region5', 'Orion', 'OMC-1_Region2', 'HC602_HC606_HC608', 'f16', 'ONC_Mosaic', 'OMC-1_Region4', '104', 'Orion KL', 'Orion-KL', 'ORS-8']\n", "--------------------------------\n", "Target = AB Aur\n", "--------------------------------\n", "Number of projects = 4\n", "Number of observations = 7\n", "Number of unique subbands = 44\n", "Total number of subbands = 44\n", "3 target(s) with ALMA data = ['ab_aurigae', 'AB_Aur', 'AB_Auriga']\n", "--------------------------------\n" ] } ], "source": [ "myquery = alminer.target(['Orion KL', \"AB Aur\"])" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "Now let's increase the search radius:" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "deletable": false, "editable": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "================================\n", "alminer.target results \n", "================================\n", "Target = Orion KL\n", "--------------------------------\n", "Number of projects = 39\n", "Number of observations = 130\n", "Number of unique subbands = 323\n", "Total number of subbands = 600\n", "59 target(s) with ALMA data = ['OrionKL', 'OMC1_SE', 'Orion H2O maser outburst', 'OrionField2', 'OrionField1-1', 'OrionField1-2', 'f5', 'f8', 'f3', 'f1', 'f7', 'f4', 'orion_kl', 'BN-KL', 'Orion_Source_I', 'BN', 'OMC1_NW', 'OrionBullets', 'f11', 'f10', 'f13', 'f15', 'f14', 'f9', 'f12', 'orion-IRc2', 'Orion_KL', 'OMC-1S', 'OrionKL-SV', 'f23', 'f16', 'OMC-1', 'Orion_BNKL_source_I', 'ONC', 'Orion_KL_Field_1_Orion_Hot_Core', 'Orion_KL_Field_2_SMA1', 'Orion_KL_Field_3_North-west_Clump', 'OMC-1_Region1', 'OMC-1_Region5', 'Orion', 'OMC-1_Region3', 'OMC-1_Region2', 'HC602_HC606_HC608', 'HC672', 'GEMS28', 'ONC_Mosaic', 'OMC-1_Region4', '104', '107', '101', '32', '71', 'Orion KL', 'Orion-KL', 'OMC1N-8-N', 'OMC1N-6-7', 'ORS-4', 'ORS-8', 'Orion1']\n", "--------------------------------\n", "Target = AB Aur\n", "--------------------------------\n", "Number of projects = 5\n", "Number of observations = 8\n", "Number of unique subbands = 48\n", "Total number of subbands = 48\n", "3 target(s) with ALMA data = ['ab_aurigae', 'AB_Aur', 'AB_Auriga']\n", "--------------------------------\n" ] } ], "source": [ "myquery = alminer.target(['Orion KL', \"AB Aur\"], search_radius=2.0)" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "### Example 1.1.2: query a list of objects by name\n", "\n", "First create a catalog or a list of object names. In this example, the catalog `Sample_cat.dat` has the following content:\n", "```\n", " Name RA DEC \n", "------ -------- --------\n", "AB_Aur 73.9412 30.5511\n", "AK_Sco 253.6867 -36.8886\n", "AS_310 278.3383 -4.9683\n", "AS_470 324.0592 57.3586\n", "AS_477 328.1421 47.2289\n", "```\n", "\n", "Note that the column that is used is the *Name* column and the coordinates are ignored in this example." ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "deletable": false, "editable": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "================================\n", "alminer.target results \n", "================================\n", "Target = AB_Aur\n", "--------------------------------\n", "Number of projects = 4\n", "Number of observations = 7\n", "Number of unique subbands = 44\n", "Total number of subbands = 44\n", "3 target(s) with ALMA data = ['ab_aurigae', 'AB_Aur', 'AB_Auriga']\n", "--------------------------------\n", "Target = AK_Sco\n", "--------------------------------\n", "Number of projects = 5\n", "Number of observations = 5\n", "Number of unique subbands = 17\n", "Total number of subbands = 20\n", "2 target(s) with ALMA data = ['AK_Sco', 'HIP_82747']\n", "--------------------------------\n", "Target = AS_310\n", "--------------------------------\n", "No observations found.\n", "--------------------------------\n", "Target = AS_470\n", "--------------------------------\n", "No observations found.\n", "--------------------------------\n", "Target = AS_477\n", "--------------------------------\n", "No observations found.\n", "--------------------------------\n" ] } ], "source": [ "mylist = ascii.read(\"Sample_cat.dat\", header_start=0, data_start=1)\n", "myquery = alminer.target(mylist['Name'])" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "### Example 1.1.3: include proprietary data" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "deletable": false, "editable": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "================================\n", "alminer.target results \n", "================================\n", "Target = AB_Aur\n", "--------------------------------\n", "Number of projects = 5\n", "Number of observations = 12\n", "Number of unique subbands = 55\n", "Total number of subbands = 82\n", "3 target(s) with ALMA data = ['ab_aurigae', 'AB_Aur', 'AB_Auriga']\n", "--------------------------------\n", "Target = AK_Sco\n", "--------------------------------\n", "Number of projects = 5\n", "Number of observations = 5\n", "Number of unique subbands = 17\n", "Total number of subbands = 20\n", "2 target(s) with ALMA data = ['AK_Sco', 'HIP_82747']\n", "--------------------------------\n", "Target = AS_310\n", "--------------------------------\n", "No observations found.\n", "--------------------------------\n", "Target = AS_470\n", "--------------------------------\n", "No observations found.\n", "--------------------------------\n", "Target = AS_477\n", "--------------------------------\n", "No observations found.\n", "--------------------------------\n" ] } ], "source": [ "myquery = alminer.target(mylist['Name'], public=None)" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "## 1.2 Query by position \n", "\n", "The `alminer.conesearch` and `alminer.catalog` functions can be used to directly query the ALMA archive by positions in the sky and a search radius around them. The right ascension and declinations must be given in units of degrees (ICRS). You can use the [Astropy coordinates package](https://docs.astropy.org/en/stable/coordinates/index.html) to convert your desired coordinates to degrees.\n", "\n", "
\n", "\n", "
\n", "Details of conesearch function\n", "\n", "* Description: Query the ALMA archive for a given position and radius around it.
\n", "
\n", "* Command:
\n", " * alminer.**conesearch**(_ra, dec, search_radius=1., point=False, public=True, published=None, print_targets=True, print_query=False_)
\n", "
\n", "* Parameters:
\n", " * **ra (float)** : Right ascension in degrees (ICRS).
\n", " * **dec (float)** : Declination in degrees (ICRS).
\n", " * **search_radius (float, optional, default: 1 arcmin)** : Search radius (in arcmin) around the source coordinates.
\n", " * **point (bool, optional, default: False)** : Search whether the specified position (ra, dec) is contained within any ALMA observations (*point=True*) or query all ALMA observations that overlap with a cone centred at the specified position (ra, dec) and extending the search_radius (*point=False*). In the case of *point=True*, the search_radius parameter is ignored. Note that *point=True* is much faster than *point=False* but the latter should be used if one is interested in searching for mosaics.
\n", " * **public (bool, optional, default: True)** : Search for public data (*public=True*), proprietary data (*public=False*), or both public and proprietary data (*public=None*).
\n", " * **published (bool, optional, default: None)** : Search for published data only (*published=True*), unpublished data only (*published=False*), or both published and unpublished data (*published=None*).
\n", " * **print_query (bool, optional, default: False)** : Print the ADQL TAP query to the terminal.
\n", " * **print_targets (bool, optional, default: True)** : Print a list of targets with ALMA data (ALMA source names) to the terminal.
\n", "
\n", "* Returns:
\n", " * **pandas.DataFrame** containing the query results.\n", "***\n", "
\n", "\n", "\n", "
\n", "Details of catalog function\n", "\n", "* Description: Query the ALMA archive for a list of coordinates or a catalog of sources based on their coordinates.
\n", "
\n", "* Command:
\n", " * alminer.**catalog**(_target_df, search_radius=1., point=False, public=True, published=None, print_query=False, print_targets=True_)
\n", "
\n", "* Parameters:
\n", " * **target_df (pandas.DataFrame)** : DataFrame with source names and coordinates; it must have at least the following three columns: \"*Name*\", \"*RAJ2000*\", \"*DEJ2000*\". \"*Name*\" describes the target name (can be numbers or dummy names), \"*RAJ2000*\" is the right ascension in degrees (ICRS), \"*DEJ2000*\" is the declination in degrees (ICRS)
\n", " * **search_radius (float, optional, default: 1 arcmin)** : Search radius (in arcmin) around the source coordinates.
\n", " * **point (bool, optional, default: False)** : Search whether the specified position (ra, dec) is contained within any ALMA observations (*point=True*) or query all ALMA observations that overlap with a cone centred at the specified position (ra, dec) and extending the search_radius (*point=False*). In the case of *point=True*, the search_radius parameter is ignored. Note that *point=True* is much faster than *point=False* but the latter should be used if one is interested in searching for mosaics.
\n", " * **public (bool, optional, default: True)** : Search for public data (*public=True*), proprietary data (*public=False*), or both public and proprietary data (*public=None*).
\n", " * **published (bool, optional, default: None)** : Search for published data only (*published=True*), unpublished data only (*published=False*), or both published and unpublished data (*published=None*).
\n", " * **print_query (bool, optional, default: False)** : Print the ADQL TAP query to the terminal.
\n", " * **print_targets (bool, optional, default: True)** : Print a list of targets with ALMA data (ALMA source names) to the terminal.
\n", "
\n", "* Returns:
\n", " * **pandas.DataFrame** containing the query results.\n", "***\n", "
" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "### Example 1.2.1: query an object by its coordinates (RA, Dec)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "deletable": false, "editable": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "--------------------------------\n", "Number of projects = 25\n", "Number of observations = 93\n", "Number of unique subbands = 212\n", "Total number of subbands = 376\n", "9 target(s) with ALMA data = ['Centaurus_a', 'CenA', 'J1325-430', 'Centaurus_A', 'J1325-4301', '3FGL_J1325.4-4301', 'Cen_A', 'NGC_5128', 'Centaurus A']\n", "--------------------------------\n" ] } ], "source": [ "myquery = alminer.conesearch(ra=201.365063, dec=-43.019112, search_radius=10.0)" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "### Example 1.2.2: query a catalog of objects by their coordinates (RA, Dec)\n", "\n", "Let's first import a catalog, for example the catalog of Spitzer YSOs in Orion from Megeath et al. (2009), and create a PANDAS DataFrame using rows 866 to 869 of this catalog. Then use the `alminer.catalog` function to query the ALMA archive for each target in the DataFrame." ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "deletable": false, "editable": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "================================\n", "alminer.catalog results\n", "================================\n", "Target = 866\n", "--------------------------------\n", "Number of projects = 1\n", "Number of observations = 1\n", "Number of unique subbands = 4\n", "Total number of subbands = 4\n", "1 target(s) with ALMA data = ['M12_866']\n", "--------------------------------\n", "Target = 867\n", "--------------------------------\n", "Number of projects = 1\n", "Number of observations = 1\n", "Number of unique subbands = 4\n", "Total number of subbands = 4\n", "1 target(s) with ALMA data = ['M12_867']\n", "--------------------------------\n", "Target = 868\n", "--------------------------------\n", "Number of projects = 3\n", "Number of observations = 3\n", "Number of unique subbands = 12\n", "Total number of subbands = 12\n", "2 target(s) with ALMA data = ['HOPS-172', 'M12_870']\n", "--------------------------------\n" ] } ], "source": [ "Spitzer = ascii.read(\"Spitzer_sample.dat\", header_start=0, data_start=866, data_end=869)\n", "\n", "mycat = {\"Name\": Spitzer['Seq'], \n", " \"RAJ2000\" : Spitzer[\"RA2000\"], \n", " \"DEJ2000\" : Spitzer[\"DEC2000\"]}\n", "\n", "mycat = pandas.DataFrame(mycat)\n", "\n", "myquery = alminer.catalog(mycat, search_radius=1.)" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "## 1.3 Query by ALMA keywords \n", "\n", "Query the ALMA archive for any (string-type) keywords defined in ALMA TAP system (see [table below](#TAP_table)). \n", "\n", "The power of this function is in combining keywords. When multiple keywords are provided, they are queried using 'AND' logic, but when multiple values are provided for a given keyword, they are queried using 'OR' logic. If a given value contains spaces, its constituents are queried using 'AND' logic. Words encapsulated in quotation marks (either ' or \") are queried as phrases. Values for the 'target_name' keyword are queried with 'OR' logic. For example,\n", "\n", " * `alminer.keysearch({\"proposal_abstract\": [\"'high-mass star formation' outflow disk\", \"'massive star formation' outflow disk\"]})`\n", "will query the the proposal abstracts for the phrase \"high-mass star formation\" AND the words \"outflow\" AND \"disk\" OR the phrase \"massive star formation\" AND the words \"outflow\" AND \"disk\".\n", "
\n", "\n", " * `alminer.keysearch({\"proposal_abstract\": [\"chemistry\", \"disc\", \"disk\", \"outflow\"]})`\n", "will query the archive for projects with the words \"chemistry\" OR \"disc\" OR \"disk\" OR \"outflow\" in their proposal abstracts.\n", "
\n", "\n", " * `alminer.keysearch({\"proposal_abstract\": [\" 'star formation' \"], \"scientific_category\":[\" 'Galaxy evolution' \"]})`\n", "will query the archive for projects with the phrase \"star formation\" in their proposal abstracts AND projects that are within the scientific_category of 'Galaxy evolution'.\n", "\n", "When in doubt, use the *print_query=True* option to see the query that is being submitted.\n", "\n", "
\n", "\n", "
\n", "Details of keysearch function\n", "\n", "* Description: Query the ALMA archive for any (string-type) keywords defined in ALMA TAP system.
\n", "
\n", "* Command:
\n", " * alminer.**keysearch**(_search_dict, public=True, published=None, print_query=False, print_targets=True_)
\n", "
\n", "* Parameters:
\n", " * **search_dict (dict[str, list of str])** : Dictionary of keywords in the ALMA archive and their values. Values must be formatted as a list of strings. For a list of valid keywords see [table](#TAP_table) below.
\n", " * **public (bool, optional, default: True)** : Search for public data (*public=True*), proprietary data (*public=False*), or both public and proprietary data (*public=None*).
\n", " * **published (bool, optional, default: None)** : Search for published data only (*published=True*), unpublished data only (*published=False*), or both published and unpublished data (*published=None*).
\n", " * **print_query (bool, optional, default: False)** : Print the ADQL TAP query to the terminal.
\n", " * **print_targets (bool, optional, default: True)** : Print a list of targets with ALMA data (ALMA source names) to the terminal.
\n", "
\n", "* Returns:
\n", " * **pandas.DataFrame** containing the query results.\n", "***\n", "
" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "
\n", "Table of possible query keywords \n", "\n", " \n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
ALMA query keywordTypeDescription
access_formatchar(9)Content format of the data
access_urlchar(72*)URL to download the data
antenna_arrayschar(660*)Blank-separated list of Pad:Antenna pairs, i.e., A109:DV09 J504:DV02 J505:DV05
for antennas DV09, DV02 and DV05 sitting on pads A109, J504, and J505, respectively.
asdm_uidchar(32*)UID of the ASDM containing this Field.
authorschar(4000*)Full list of first author and all co-authors
band_listchar(30*)Space delimited list of bands
bib_referencechar(30*)Bibliography code
data_rightschar(11)Access to data.
dataproduct_typechar(5*)type of product
facility_namechar(3)telescope name
first_authorchar(256*)The first author as provided by telbib.eso.org.
frequency_supportchar(4000*)All frequency ranges used by the field
group_ous_uidchar(64*)Group OUS ID
instrument_namechar(4)instrument name
is_mosaicchar(1)Flag to indicate if this ASDM represents a mosaic or not.
lastModifiedchar(*)Time stamp of last modification of the metadata
member_ous_uidchar(64*)Member OUS ID
o_ucdchar(35)UCD describing the observable axis (pixel values)
obs_collectionchar(4)short name for the data collection
obs_creator_namechar(256*)case-insensitive partial match over the full PI name. Wildcards can be used
obs_idchar(64*)internal dataset identifier
obs_publisher_didchar(33*)publisher dataset identifier
obs_release_datechar(*)timestamp of date the data becomes publicly available
obs_titlechar(256*)Case-insensitive search over the project title
pol_stateschar(64*)polarization states present in the data
proposal_abstractchar(4000*)Text search on the proposal abstract. Only abstracts will be returned
which contain the given text. The search is case-insensitive.
proposal_authorschar(2000*)Full name of CoIs.
proposal_idchar(64*)Identifier of proposal to which NO observation belongs.
pub_abstractchar(4000*)Case insensitive text search through the abstract of the publication.
pub_titlechar(256*)Case insensitive search through the title of the publication.
qa2_passedchar(1)Quality Assessment 2 status: does the Member / Group OUS
fulfil the PI's requirements?
s_regionchar(*)region bounded by observation
scan_intentchar(256*)Scan intent list for the observed field.
schedblock_namechar(128*)Name of the Scheduling Block used as a template for executing the ASDM containing this Field.
science_keywordchar(200*)Chosen by the PI in the observing tool at the time of proposal submission. For an overview,
see Appendix D of the ALMA Proposer's Guide. For a precise list, see Table of science keywords below.
science_observationchar(1)Flag to indicate whether this is a science observation.
scientific_categorychar(200*)Chosen by the PI in the observing tool at the time of proposal submission. For an overview,
see Appendix D of the ALMA Proposer's Guide. For a precise list, see Table of science categories below.
target_namechar(256*)name of intended target
typechar(16*)Type flags.
\n", "
" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "
\n", "Table of possible ALMA science categories \n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
ALMA science category
Active galaxies
Cosmology
Disks and planet formation
Galaxy evolution
ISM and star formation
Local Universe
Solar system
Stars and stellar evolution
Sun

\n", "
" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "
\n", "Table of possible ALMA science keywords \n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
ALMA science keyword
Active Galactic Nuclei (AGN)/Quasars (QSO)
Astrochemistry
Asymptotic Giant Branch (AGB) stars
Black holes
Brown dwarfs
Cataclysmic stars
Cosmic Microwave Background (CMB)/Sunyaev-Zel'dovich Effect (SZE)\"
Damped Lyman Alpha (DLA) systems
Debris disks
Disks around high-mass stars
Disks around low-mass stars
Dwarf/metal-poor galaxies
Early-type galaxies
Evolved stars - Chemistry
Evolved stars - Shaping/physical structure
Evolved stars: Shaping/physical structure
Exo-planets
Galactic centres/nuclei
Galaxy Clusters
Galaxy chemistry
Galaxy groups and clusters
Galaxy structure & evolution
Gamma Ray Bursts (GRB)
Giant Molecular Clouds (GMC) properties
Gravitational lenses
HII regions
High-mass star formation
High-z Active Galactic Nuclei (AGN)
Hypergiants
Infra-Red Dark Clouds (IRDC)
Inter-Stellar Medium (ISM)/Molecular clouds
Intermediate-mass star formation
Low-mass star formation
Luminous Blue Variables (LBV)
Luminous and Ultra-Luminous Infra-Red Galaxies (LIRG & ULIRG)
Lyman Alpha Emitters/Blobs (LAE/LAB)
Lyman Break Galaxies (LBG)
Magellanic Clouds
Main sequence stars
Merging and interacting galaxies
Outflows, jets, feedback
Outflows, jets and ionized winds
Photon-Dominated Regions (PDR)/X-Ray Dominated Regions (XDR)
Post-AGB stars
Pre-stellar cores
Pulsars and neutron stars
Solar system - Asteroids
Solar system - Comets
Solar system - Planetary atmospheres
Solar system - Planetary surfaces
Solar system - Trans-Neptunian Objects (TNOs)
Spiral galaxies
Starburst galaxies
Starbursts, star formation
Sub-mm Galaxies (SMG)
Supernovae (SN) ejecta
Surveys of galaxies
The Sun
Transients
White dwarfs
\n", "
" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "### Example 1.3.1: query a list of ALMA target names that may not be in SIMBAD/NED/VizieR" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "deletable": false, "editable": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "================================\n", "alminer.keysearch results \n", "================================\n", "--------------------------------\n", "Number of projects = 17\n", "Number of observations = 33\n", "Number of unique subbands = 125\n", "Total number of subbands = 199\n", "12 target(s) with ALMA data = ['GRB021004', 'G345.5', 'SPT0319-47', 'G345.5043+00.3480', 'G345.49+1.47', 'G345.50+0.35', 'G345.6487+0.0089', 'G345.01', 'G345.11', 'G345.0029-0.2241', 'G345.144-00.216', 'G345.5+1.5']\n", "--------------------------------\n" ] } ], "source": [ "myquery = alminer.keysearch({'target_name': ['GRB021004','SPT0319-47', 'G345']})" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "### Example 1.3.2: query a list of ALMA projects by their proposal IDs" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "deletable": false, "editable": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "================================\n", "alminer.keysearch results \n", "================================\n", "--------------------------------\n", "Number of projects = 2\n", "Number of observations = 16\n", "Number of unique subbands = 16\n", "Total number of subbands = 64\n", "16 target(s) with ALMA data = ['KMOS3DCOS4-15820', 'KMOS3DCOS4-19680', 'KMOS3DCOS4-13174', 'KMOS3DCOS4-15813', 'KMOS3DCOS4-10347', 'KMOS3DCOS4-13701', 'KMOS3DCOS4-24763', 'KMOS3DU4-32147', 'KMOS3DU4-34138', 'KMOS3DU4-22227', 'KMOS3DU4-20547', 'KMOS3DGS4-24110', 'KMOS3DGS4-25151', 'KMOS3DGS4-11016', 'KMOS3DGS4-27882', 'AK_Sco']\n", "--------------------------------\n" ] } ], "source": [ "myquery = alminer.keysearch({'proposal_id': ['2015.1.00664.S', '2016.1.00204.S']})" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "### Example 1.3.3: query by words in the proposal abstract\n", "\n", "Query the ALMA archive for proposals that include the phrase 'high-mass star formation' AND the word 'outflow', and do not print the long list of target names in the summary." ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "deletable": false, "editable": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "================================\n", "alminer.keysearch results \n", "================================\n", "--------------------------------\n", "Number of projects = 18\n", "Number of observations = 369\n", "Number of unique subbands = 224\n", "Total number of subbands = 1969\n", "Total number of targets with ALMA data = 171\n", "--------------------------------\n" ] } ], "source": [ "myquery = alminer.keysearch({'proposal_abstract': [\"'high-mass star formation' outflow\"]}, print_targets=False)" ] }, { "cell_type": "markdown", "metadata": { "deletable": false }, "source": [ "### Example 1.3.4: query by combination of keywords\n", "\n", "Query the ALMA archive for proposals that contain the phrase 'high-mass star formation' OR 'massive star formation', corresponding to the scientific category of 'Active galaxies'." ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "deletable": false, "editable": false, "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "================================\n", "alminer.keysearch results \n", "================================\n", "--------------------------------\n", "Number of projects = 9\n", "Number of observations = 29\n", "Number of unique subbands = 91\n", "Total number of subbands = 112\n", "Total number of targets with ALMA data = 18\n", "--------------------------------\n" ] } ], "source": [ "myquery = alminer.keysearch({'proposal_abstract': [\"'high-mass star formation'\", \"'massive star formation'\"], \n", " 'scientific_category':[\"'Active galaxies'\"]}, print_targets=False)" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "### Example 1.3.5: query for full polarization data" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "deletable": false, "editable": false, "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "================================\n", "alminer.keysearch results \n", "================================\n", "--------------------------------\n", "Number of projects = 31\n", "Number of observations = 56\n", "Number of unique subbands = 114\n", "Total number of subbands = 224\n", "Total number of targets with ALMA data = 38\n", "--------------------------------\n" ] } ], "source": [ "myquery = alminer.keysearch({'science_keyword':[\"'disks around low-mass stars'\"], \n", " 'pol_states':['XY', 'YX']}, print_targets=False)" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "***\n", "\n", "# 2. Filter & explore results \n", "\n", "The querying functions presented in the previous section return a [PANDAS DataFrame](https://pandas.pydata.org/pandas-docs/stable/reference/frame.html) that can be used to further narrow down your search. This section presents some examples of how you can further filter and explore the results of your queries:\n", "\n", "* [2.1 - Explore results (*alminer.explore*)](#explore)
\n", "* [2.2 - Summarize results (*alminer.summary*)](#summary)
\n", "* [2.3 - Filter results (*alminer.get_info*)](#filter)
\n", "* [2.4 - Line coverage (*alminer.line_coverage*)](#line_coverage)
\n", "* [2.5 - CO, 13CO, C18O lines (*alminer.CO_lines*)](#CO_lines)
\n", "\n", "To explore these options, we will first query the archive using one of the methods presented in the previous section and use the results in the remainder of this tutorial." ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "deletable": false, "editable": false, "scrolled": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "================================\n", "alminer.keysearch results \n", "================================\n", "--------------------------------\n", "Number of projects = 54\n", "Number of observations = 383\n", "Number of unique subbands = 1316\n", "Total number of subbands = 1529\n", "Total number of targets with ALMA data = 79\n", "--------------------------------\n" ] } ], "source": [ "observations = alminer.keysearch({'science_keyword':[\"'Galaxy chemistry'\"]}, print_targets=False)" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "## 2.1 Explore results \n", "\n", "You can simply display the DataFrame table returned by the query functions using the name you gave it (in this case *observations*), but often there are limits to how many rows and columns are presented. With the alminer.explore function, you can control whether or not you want to display all rows (*allrows=True/False*) and/or all columns (*allcols=True/False*). By default, only the 18 most useful columns are shown and the number of rows is truncated.\n", "\n", "
\n", "\n", "
\n", "Details of explore function\n", "\n", "* Description: Control how much of the pandas.DataFrame with the query results is presented in the displayed table.
\n", "
\n", "* Command:
\n", " * alminer.**explore**(_observations, allcols=False, allrows=False_)
\n", "
\n", "* Parameters:
\n", " * **observations (pandas.DataFrame)** : This is likely the output of e.g. `conesearch`, `target`, `catalog`, and `keysearch` functions.
\n", " * **allcols (bool, optional, default: False)** : Show all 81 columns (*allcols=True*), or the first 18 columns (*allcols=False*).
\n", " * **allrows (bool, optional, default: False)** : Show all rows in the DataFrame (*allrows=True*), or just a summary (*allrows=False*).
\n", "
\n", "* Returns:
\n", " * **pandas.DataFrame** containing the query results displayed to the user interface as specified by the user.\n", "***\n", "
" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "### Example 2.1.1: View the queried observations as a table (shortened)" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "deletable": false, "editable": false, "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
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Obsproject_codeALMA_source_nameRAJ2000DEJ2000ang_res_arcsecmin_freq_GHzmax_freq_GHzcentral_freq_GHzbandwidth_GHzfreq_res_kHzvel_res_kmsLAS_arcsecFoV_arcseccont_sens_bandwidthline_sens_10kmsline_sens_nativeMOUS_id
012011.0.00268.SLESS J0332-275653.122042-27.9386941.264239.50241.37240.431.875976.561.21311.24223.56479.2991708.54111.94uid://A002/X303d22/X7b
122011.0.00268.SLESS J0332-275653.122042-27.9386941.264252.85254.73253.791.875976.561.14911.24223.56479.2991675.07112.74uid://A002/X303d22/X7b
232011.0.00405.SPKS1830-211278.416330-21.0610800.458281.64283.51282.571.874976.561.0334.08820.11360.4291677.23119.14uid://A002/X36d874/X7a
342011.0.00405.SPKS1830-211278.416330-21.0610801.571105.07106.95106.011.878976.562.73716.99458.77429.8241370.0959.71uid://A002/X36d874/X80
452011.0.00405.SPKS1830-211278.416330-21.0610801.571103.20105.08104.141.878976.562.78616.99458.77429.8241381.7759.69uid://A002/X36d874/X80
562011.0.00405.SPKS1830-211278.416330-21.0610801.57193.0794.9594.011.878976.563.08316.99458.77429.8241440.5459.16uid://A002/X36d874/X80
672011.0.00405.SPKS1830-211278.416330-21.0610801.57191.2093.0892.141.878976.563.14516.99458.77429.8241500.6061.02uid://A002/X36d874/X80
782011.0.00405.SPKS1830-211278.416330-21.0610800.577259.58261.47260.521.894976.561.1205.44023.11874.5972278.21154.60uid://A002/X36d874/X7c
892011.0.00405.SPKS1830-211278.416330-21.0610800.577256.63258.53257.581.894976.561.1325.44023.11874.5972189.73147.77uid://A002/X36d874/X7c
.........................................................
152015212021.2.00049.Sngc106840.669879-0.01328912.450102.15104.15103.151.9991128.913.31471.952103.658153.3727620.71314.59uid://A001/X15a9/Xc44
152115222021.2.00049.Sngc106840.669879-0.01328960.46788.4590.4589.451.9991128.913.742967.47960.467271.83613711.09532.59uid://A001/X15a9/Xc46
152215232021.2.00049.Sngc106840.669879-0.01328960.46790.1592.1591.151.9991128.913.673967.47960.467271.83613610.79533.65uid://A001/X15a9/Xc46
152315242021.2.00049.Sngc106840.669879-0.01328960.467100.45102.45101.451.9991128.913.370967.47960.467271.83613519.34553.41uid://A001/X15a9/Xc46
152415252021.2.00049.Sngc106840.669879-0.01328960.467102.15104.15103.151.9991128.913.314967.47960.467271.83613514.37557.88uid://A001/X15a9/Xc46
152515262021.2.00049.Sngc106840.669879-0.01328956.47295.2697.2696.261.9991128.913.480903.55656.472317.23415231.17613.51uid://A001/X15a9/Xc52
152615272021.2.00049.Sngc106840.669879-0.01328956.47296.9698.9697.961.9991128.913.420903.55656.472317.23414890.90605.04uid://A001/X15a9/Xc52
152715282021.2.00049.Sngc106840.669879-0.01328956.472107.26109.26108.261.9991128.913.156903.55656.472317.23415379.20650.55uid://A001/X15a9/Xc52
152815292021.2.00049.Sngc106840.669879-0.01328956.472108.96110.96109.961.9991128.913.106903.55656.472317.23415925.65678.99uid://A001/X15a9/Xc52
\n", "

1529 rows × 18 columns

\n", "
" ], "text/plain": [ " Obs project_code ... line_sens_native MOUS_id\n", "0 1 2011.0.00268.S ... 111.94 uid://A002/X303d22/X7b\n", "1 2 2011.0.00268.S ... 112.74 uid://A002/X303d22/X7b\n", "2 3 2011.0.00405.S ... 119.14 uid://A002/X36d874/X7a\n", "3 4 2011.0.00405.S ... 59.71 uid://A002/X36d874/X80\n", "4 5 2011.0.00405.S ... 59.69 uid://A002/X36d874/X80\n", "5 6 2011.0.00405.S ... 59.16 uid://A002/X36d874/X80\n", "6 7 2011.0.00405.S ... 61.02 uid://A002/X36d874/X80\n", "7 8 2011.0.00405.S ... 154.60 uid://A002/X36d874/X7c\n", "8 9 2011.0.00405.S ... 147.77 uid://A002/X36d874/X7c\n", "... ... ... ... ... ...\n", "1520 1521 2021.2.00049.S ... 314.59 uid://A001/X15a9/Xc44\n", "1521 1522 2021.2.00049.S ... 532.59 uid://A001/X15a9/Xc46\n", "1522 1523 2021.2.00049.S ... 533.65 uid://A001/X15a9/Xc46\n", "1523 1524 2021.2.00049.S ... 553.41 uid://A001/X15a9/Xc46\n", "1524 1525 2021.2.00049.S ... 557.88 uid://A001/X15a9/Xc46\n", "1525 1526 2021.2.00049.S ... 613.51 uid://A001/X15a9/Xc52\n", "1526 1527 2021.2.00049.S ... 605.04 uid://A001/X15a9/Xc52\n", "1527 1528 2021.2.00049.S ... 650.55 uid://A001/X15a9/Xc52\n", "1528 1529 2021.2.00049.S ... 678.99 uid://A001/X15a9/Xc52\n", "\n", "[1529 rows x 18 columns]" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "alminer.explore(observations)" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "### Example 2.1.2: View the queried observations as a table and show all columns" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "deletable": false, "editable": false }, "outputs": [ { "data": { "text/html": [ "
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Obsproject_codeALMA_source_nameRAJ2000DEJ2000ang_res_arcsecmin_freq_GHzmax_freq_GHzcentral_freq_GHzbandwidth_GHzfreq_res_kHzvel_res_kmsLAS_arcsecFoV_arcseccont_sens_bandwidthline_sens_10kmsline_sens_nativeMOUS_idcollectionso_ucdobs_publisher_didobs_collectionfacility_nameinstrument_nameobs_iddataproduct_typecalib_leveltarget_names_ras_decs_fovs_regions_xel1s_xel2em_xelt_xelpol_xels_resolutiont_mint_maxt_exptimet_resolutionem_minem_maxem_res_powerpol_statesaccess_urlaccess_formataccess_estsizeproposal_iddata_rightsgal_longitudegal_latitudeband_listem_resolutionbandwidthantenna_arraysis_mosaicobs_release_datespatial_resolutionfrequency_supportfrequencyvelocity_resolutionobs_creator_namepub_titlefirst_authorauthorspub_abstractpublication_yearproposal_abstractschedblock_nameproposal_authorssensitivity_10kmscont_sensitivity_bandwidthpwvgroup_ous_uidmember_ous_uidasdm_uidobs_titletypescan_intentscience_observationspatial_scale_maxqa2_passedbib_referencescience_keywordscientific_categorylastModified
012011.0.00268.SLESS J0332-275653.122042-27.9386941.264239.50241.37240.431.875976.561.21311.24223.56479.2991708.54111.94uid://A002/X303d22/X7bphot.flux.density;phys.polarizationADS/JAO.ALMA#2011.0.00268.SALMAJAOALMAuid://A002/X303d22/X7b.source.LESS J0332-2756....cube2LESS J0332-275653.122042-27.9386940.006546Circle ICRS 53.122042 -27.938694 0.003273<NA><NA>3840121.26401555936.92604455939.1926414536.0004536.0000.0012420.001252247134.408560/XX/YY/https://almascience.org/datalink/sync?ID=uid:/...applicati<NA>2011.0.00268.SPublic223.796062-54.45192262.928016e+141.875000e+09A002:PM02 A004:DV04 A009:DA43 A011:DV12 A013:D...F2013-02-09T01:45:00.0001.264015[239.50..241.37GHz,976.56kHz,1.7mJy/beam@10km/...240.4344321149.468553ALMAALMA reveals a chemically evolved submillimete...Leon, S. Nagao, T. Ono, YoshiakiLeon, S.; Cortes, P.C.; Guerard, M.; Villard, ...Aims: We aim at analyzing the (sub-)millimeter...2012Metallicity of galaxies and its redshift evolu...LESS J0332-2756De Breuck, Carlos; Hatsukade, Bunyo; Maiolino,...1.7085380.0792991.459508uid://A002/X303d22/X7buid://A002/X36a70f/X318Metallicity of a Submillimeter Galaxy at z=5STARGET WVRT11.242385T2012A&A...542L..34N 2014ApJ...795....5O 2016A&...Galaxy structure & evolution, Galaxy chemistryGalaxy evolution2023-04-10T18:35:03.734
122011.0.00268.SLESS J0332-275653.122042-27.9386941.264252.85254.73253.791.875976.561.14911.24223.56479.2991675.07112.74uid://A002/X303d22/X7bphot.flux.density;phys.polarizationADS/JAO.ALMA#2011.0.00268.SALMAJAOALMAuid://A002/X303d22/X7b.source.LESS J0332-2756....cube2LESS J0332-275653.122042-27.9386940.006546Circle ICRS 53.122042 -27.938694 0.003273<NA><NA>3840121.26401555936.92604455939.1926414536.0004536.0000.0011770.001186260809.621360/XX/YY/https://almascience.org/datalink/sync?ID=uid:/...applicati<NA>2011.0.00268.SPublic223.796062-54.45192262.928016e+141.875000e+09A002:PM02 A004:DV04 A009:DA43 A011:DV12 A013:D...F2013-02-09T01:45:00.0001.264015[239.50..241.37GHz,976.56kHz,1.7mJy/beam@10km/...253.7907701149.468553ALMAALMA reveals a chemically evolved submillimete...Leon, S. Nagao, T. Ono, YoshiakiLeon, S.; Cortes, P.C.; Guerard, M.; Villard, ...Aims: We aim at analyzing the (sub-)millimeter...2012Metallicity of galaxies and its redshift evolu...LESS J0332-2756De Breuck, Carlos; Hatsukade, Bunyo; Maiolino,...1.6750710.0792991.459508uid://A002/X303d22/X7buid://A002/X36a70f/X318Metallicity of a Submillimeter Galaxy at z=5STARGET WVRT11.242385T2012A&A...542L..34N 2014ApJ...795....5O 2016A&...Galaxy structure & evolution, Galaxy chemistryGalaxy evolution2023-04-10T18:35:03.734
232011.0.00405.SPKS1830-211278.416330-21.0610800.458281.64283.51282.571.874976.561.0334.08820.11360.4291677.23119.14uid://A002/X36d874/X7aphot.flux.density;phys.polarizationADS/JAO.ALMA#2011.0.00405.SALMAJAOALMAuid://A002/X36d874/X7a.source.PKS1830-211.spw.17cube2PKS1830-211278.416330-21.0610800.005587Circle ICRS 278.416330 -21.061080 0.002793<NA><NA>3840120.45819556028.25413656028.3615723144.9603144.9600.0010570.001064290354.950000/XX/YY/https://almascience.org/datalink/sync?ID=uid:/...applicati<NA>2011.0.00405.SPublic12.165817-5.71167772.927253e+141.875000e+09A003:DA41 A011:DV12 A025:DV14 A037:PM01 A045:D...F2013-05-22T07:31:59.0000.458195[281.64..283.51GHz,976.56kHz,1.7mJy/beam@10km/...282.573239984.336598ALMAA strong magnetic field in the jet base of a s...Bagdonaite, J. Martí-Vidal, I. Martí-Vidal, Iv...Bagdonaite, J.; Daprà, M.; Jansen, P.; Bethlem...A limit on a possible cosmological variation o...2013The z=0.89 (sub)mm molecular absorber toward t...PKS1830_CH_and_H2O_b7_run_x2Bethlem, Hendrick; Gerin, Maryvonne; Bottinell...1.6772260.0604290.701340uid://A002/X36d874/X7auid://A002/X3cb0a0/X9e8A survey of strong absorption lines at z=0.89 ...STARGETT4.087903T2013A&A...558A.123M 2013PhRvL.111w1101B 2014A&...Galaxy structure & evolution, Galaxy chemistryGalaxy evolution2023-04-10T18:35:03.734
342011.0.00405.SPKS1830-211278.416330-21.0610801.571105.07106.95106.011.878976.562.73716.99458.77429.8241370.0959.71uid://A002/X36d874/X80phot.flux.density;phys.polarizationADS/JAO.ALMA#2011.0.00405.SALMAJAOALMAuid://A002/X36d874/X80.source.PKS1830-211.spw.23cube2PKS1830-211278.416330-21.0610800.016326Circle ICRS 278.416330 -21.061080 0.008163<NA><NA>3840121.57062356069.39094456093.3958123719.5203719.5200.0028030.002853109524.742000/XX/YY/https://almascience.org/datalink/sync?ID=uid:/...applicati<NA>2011.0.00405.SPublic12.165817-5.71167732.927369e+141.875000e+09A003:DA41 A004:DV04 A008:DV19 A011:DV12 A021:D...F2013-10-10T14:47:51.0001.570623[91.20..93.08GHz,976.56kHz,1.5mJy/beam@10km/s,...106.0118612737.212182ALMAA strong magnetic field in the jet base of a s...Bagdonaite, J. Martí-Vidal, I. Martí-Vidal, Iv...Bagdonaite, J.; Daprà, M.; Jansen, P.; Bethlem...A limit on a possible cosmological variation o...2013The z=0.89 (sub)mm molecular absorber toward t...PKS1830_HCOplus_b3_run_x3Bethlem, Hendrick; Gerin, Maryvonne; Bottinell...1.3700930.0298240.918540uid://A002/X36d874/X80uid://A002/X411025/X441A survey of strong absorption lines at z=0.89 ...STARGETT16.994304T2013A&A...558A.123M 2013PhRvL.111w1101B 2014A&...Galaxy structure & evolution, Galaxy chemistryGalaxy evolution2023-04-10T18:35:03.734
452011.0.00405.SPKS1830-211278.416330-21.0610801.571103.20105.08104.141.878976.562.78616.99458.77429.8241381.7759.69uid://A002/X36d874/X80phot.flux.density;phys.polarizationADS/JAO.ALMA#2011.0.00405.SALMAJAOALMAuid://A002/X36d874/X80.source.PKS1830-211.spw.21cube2PKS1830-211278.416330-21.0610800.016326Circle ICRS 278.416330 -21.061080 0.008163<NA><NA>3840121.57062356069.39094456093.3958123719.5203719.5200.0028530.002905107605.766000/XX/YY/https://almascience.org/datalink/sync?ID=uid:/...applicati<NA>2011.0.00405.SPublic12.165817-5.71167732.927369e+141.875000e+09A003:DA41 A004:DV04 A008:DV19 A011:DV12 A021:D...F2013-10-10T14:47:51.0001.570623[91.20..93.08GHz,976.56kHz,1.5mJy/beam@10km/s,...104.1380142737.212182ALMAA strong magnetic field in the jet base of a s...Bagdonaite, J. Martí-Vidal, I. Martí-Vidal, Iv...Bagdonaite, J.; Daprà, M.; Jansen, P.; Bethlem...A limit on a possible cosmological variation o...2013The z=0.89 (sub)mm molecular absorber toward t...PKS1830_HCOplus_b3_run_x3Bethlem, Hendrick; Gerin, Maryvonne; Bottinell...1.3817670.0298240.918540uid://A002/X36d874/X80uid://A002/X411025/X441A survey of strong absorption lines at z=0.89 ...STARGETT16.994304T2013A&A...558A.123M 2013PhRvL.111w1101B 2014A&...Galaxy structure & evolution, Galaxy chemistryGalaxy evolution2023-04-10T18:35:03.734
562011.0.00405.SPKS1830-211278.416330-21.0610801.57193.0794.9594.011.878976.563.08316.99458.77429.8241440.5459.16uid://A002/X36d874/X80phot.flux.density;phys.polarizationADS/JAO.ALMA#2011.0.00405.SALMAJAOALMAuid://A002/X36d874/X80.source.PKS1830-211.spw.19cube2PKS1830-211278.416330-21.0610800.016326Circle ICRS 278.416330 -21.061080 0.008163<NA><NA>3840121.57062356069.39094456093.3958123719.5203719.5200.0031570.00322197236.742000/XX/YY/https://almascience.org/datalink/sync?ID=uid:/...applicati<NA>2011.0.00405.SPublic12.165817-5.71167732.927369e+141.875000e+09A003:DA41 A004:DV04 A008:DV19 A011:DV12 A021:D...F2013-10-10T14:47:51.0001.570623[91.20..93.08GHz,976.56kHz,1.5mJy/beam@10km/s,...94.0128412737.212182ALMAA strong magnetic field in the jet base of a s...Bagdonaite, J. Martí-Vidal, I. Martí-Vidal, Iv...Bagdonaite, J.; Daprà, M.; Jansen, P.; Bethlem...A limit on a possible cosmological variation o...2013The z=0.89 (sub)mm molecular absorber toward t...PKS1830_HCOplus_b3_run_x3Bethlem, Hendrick; Gerin, Maryvonne; Bottinell...1.4405430.0298240.918540uid://A002/X36d874/X80uid://A002/X411025/X441A survey of strong absorption lines at z=0.89 ...STARGETT16.994304T2013A&A...558A.123M 2013PhRvL.111w1101B 2014A&...Galaxy structure & evolution, Galaxy chemistryGalaxy evolution2023-04-10T18:35:03.734
672011.0.00405.SPKS1830-211278.416330-21.0610801.57191.2093.0892.141.878976.563.14516.99458.77429.8241500.6061.02uid://A002/X36d874/X80phot.flux.density;phys.polarizationADS/JAO.ALMA#2011.0.00405.SALMAJAOALMAuid://A002/X36d874/X80.source.PKS1830-211.spw.17cube2PKS1830-211278.416330-21.0610800.016326Circle ICRS 278.416330 -21.061080 0.008163<NA><NA>3840121.57062356069.39094456093.3958123719.5203719.5200.0032210.00328795317.766000/XX/YY/https://almascience.org/datalink/sync?ID=uid:/...applicati<NA>2011.0.00405.SPublic12.165817-5.71167732.927369e+141.875000e+09A003:DA41 A004:DV04 A008:DV19 A011:DV12 A021:D...F2013-10-10T14:47:51.0001.570623[91.20..93.08GHz,976.56kHz,1.5mJy/beam@10km/s,...92.1389942737.212182ALMAA strong magnetic field in the jet base of a s...Bagdonaite, J. Martí-Vidal, I. Martí-Vidal, Iv...Bagdonaite, J.; Daprà, M.; Jansen, P.; Bethlem...A limit on a possible cosmological variation o...2013The z=0.89 (sub)mm molecular absorber toward t...PKS1830_HCOplus_b3_run_x3Bethlem, Hendrick; Gerin, Maryvonne; Bottinell...1.5006030.0298240.918540uid://A002/X36d874/X80uid://A002/X411025/X441A survey of strong absorption lines at z=0.89 ...STARGETT16.994304T2013A&A...558A.123M 2013PhRvL.111w1101B 2014A&...Galaxy structure & evolution, Galaxy chemistryGalaxy evolution2023-04-10T18:35:03.734
782011.0.00405.SPKS1830-211278.416330-21.0610800.577259.58261.47260.521.894976.561.1205.44023.11874.5972278.21154.60uid://A002/X36d874/X7cphot.flux.density;phys.polarizationADS/JAO.ALMA#2011.0.00405.SALMAJAOALMAuid://A002/X36d874/X7c.source.PKS1830-211.spw.23cube2PKS1830-211278.416330-21.0610800.006422Circle ICRS 278.416330 -21.061080 0.003211<NA><NA>3840120.57687956026.26589556093.3291784838.4004838.4000.0011470.001155267762.499440/XX/YY/https://almascience.org/datalink/sync?ID=uid:/...applicati<NA>2011.0.00405.SPublic12.165817-5.71167762.927251e+141.875000e+09A003:DA41 A004:DV04 A008:DV19 A011:DV12 A021:D...F2013-10-19T12:40:13.0000.576879[242.31..244.20GHz,976.56kHz,2.2mJy/beam@10km/...260.5230241119.620778ALMAA strong magnetic field in the jet base of a s...Bagdonaite, J. Martí-Vidal, I. Martí-Vidal, Iv...Bagdonaite, J.; Daprà, M.; Jansen, P.; Bethlem...A limit on a possible cosmological variation o...2013The z=0.89 (sub)mm molecular absorber toward t...PKS1830-211_CO4-3_b6_run_x2Bethlem, Hendrick; Gerin, Maryvonne; Bottinell...2.2782140.0745972.121277uid://A002/X36d874/X7cuid://A002/X3ca066/Xa6fA survey of strong absorption lines at z=0.89 ...STARGETT5.440291T2013A&A...558A.123M 2013PhRvL.111w1101B 2014A&...Galaxy structure & evolution, Galaxy chemistryGalaxy evolution2023-04-10T18:35:03.734
892011.0.00405.SPKS1830-211278.416330-21.0610800.577256.63258.53257.581.894976.561.1325.44023.11874.5972189.73147.77uid://A002/X36d874/X7cphot.flux.density;phys.polarizationADS/JAO.ALMA#2011.0.00405.SALMAJAOALMAuid://A002/X36d874/X7c.source.PKS1830-211.spw.21cube2PKS1830-211278.416330-21.0610800.006422Circle ICRS 278.416330 -21.061080 0.003211<NA><NA>3840120.57687956026.26589556093.3291784838.4004838.4000.0011600.001168264749.082480/XX/YY/https://almascience.org/datalink/sync?ID=uid:/...applicati<NA>2011.0.00405.SPublic12.165817-5.71167762.927251e+141.875000e+09A003:DA41 A004:DV04 A008:DV19 A011:DV12 A021:D...F2013-10-19T12:40:13.0000.576879[242.31..244.20GHz,976.56kHz,2.2mJy/beam@10km/...257.5805341119.620778ALMAA strong magnetic field in the jet base of a s...Bagdonaite, J. Martí-Vidal, I. Martí-Vidal, Iv...Bagdonaite, J.; Daprà, M.; Jansen, P.; Bethlem...A limit on a possible cosmological variation o...2013The z=0.89 (sub)mm molecular absorber toward t...PKS1830-211_CO4-3_b6_run_x2Bethlem, Hendrick; Gerin, Maryvonne; Bottinell...2.1897290.0745972.121277uid://A002/X36d874/X7cuid://A002/X3ca066/Xa6fA survey of strong absorption lines at z=0.89 ...STARGETT5.440291T2013A&A...558A.123M 2013PhRvL.111w1101B 2014A&...Galaxy structure & evolution, Galaxy chemistryGalaxy evolution2023-04-10T18:35:03.734
...........................................................................................................................................................................................................................................................................
152015212021.2.00049.Sngc106840.669879-0.01328912.450102.15104.15103.151.9991128.913.31471.952103.658153.3727620.71314.59uid://A001/X15a9/Xc44phot.flux.density;phys.polarizationADS/JAO.ALMA#2021.2.00049.SALMAJAOALMAuid://A001/X15a9/Xc44.source.ngc1068.spw.22cube2ngc106840.669879-0.0132890.028794Polygon ICRS 40.669879 -0.027686 40.667181 -0....<NA><NA>20481212.44951959606.90431459607.0014215806.0805806.0800.0028780.00293590474.638093/XX/YY/https://almascience.org/datalink/sync?ID=uid:/...applicati<NA>2021.2.00049.SPublic172.103977-51.93358433.384829e+142.000000e+09J501:CM10 J502:CM02 J503:CM03 J504:CM12 J506:C...F2023-02-03T02:27:48.00012.449519[88.45..90.45GHz,1128.91kHz,7.7mJy/beam@10km/s...103.1507133313.552442ALMA<NA>We propose ACA stand-alone spectral scans in t...ngc1068_b_03_7MHerbst, Eric; Harada, Nanase; Taniguchi, Akio;...7.6207130.1533725.186000uid://A001/X15a9/Xc43uid://A001/X15a9/Xc44uid://A002/Xf53eeb/X124beCompleting 2.6-mm and 1.3-mm spectral scans to...STARGETT71.952420TStarbursts, star formation, Galaxy chemistryActive galaxies2023-04-10T18:35:03.734
152115222021.2.00049.Sngc106840.669879-0.01328960.46788.4590.4589.451.9991128.913.742967.47960.467271.83613711.09532.59uid://A001/X15a9/Xc46phot.flux.density;phys.polarizationADS/JAO.ALMA#2021.2.00049.SALMAJAOALMAuid://A001/X15a9/Xc46.source.ngc1068.spw.17cube2ngc106840.669879-0.0132890.016797Polygon ICRS 40.669879 -0.021687 40.668305 -0....<NA><NA>20481260.46745559605.88092259606.14285212567.74412567.7440.0033150.00338980108.207540/XX/YY/https://almascience.org/datalink/sync?ID=uid:/...applicati<NA>2021.2.00049.SPublic172.103977-51.93358433.384828e+142.000000e+09T701:PM02 T703:PM01 T704:PM04F2023-02-03T15:16:42.00054.581243[88.45..90.45GHz,1128.91kHz,13.7mJy/beam@10km/...89.4471023313.551853ALMA<NA>We propose ACA stand-alone spectral scans in t...ngc1068_b_03_TPHerbst, Eric; Harada, Nanase; Taniguchi, Akio;...13.7110900.2718365.434474uid://A001/X15a9/Xc43uid://A001/X15a9/Xc46uid://A002/Xf53eeb/Xb739Completing 2.6-mm and 1.3-mm spectral scans to...STARGETT967.479293TStarbursts, star formation, Galaxy chemistryActive galaxies2023-04-10T18:35:03.734
152215232021.2.00049.Sngc106840.669879-0.01328960.46790.1592.1591.151.9991128.913.673967.47960.467271.83613610.79533.65uid://A001/X15a9/Xc46phot.flux.density;phys.polarizationADS/JAO.ALMA#2021.2.00049.SALMAJAOALMAuid://A001/X15a9/Xc46.source.ngc1068.spw.19cube2ngc106840.669879-0.0132890.016797Polygon ICRS 40.669879 -0.021687 40.668305 -0....<NA><NA>20481260.46745559605.88092259606.14285212567.74412567.7440.0032530.00332581616.689890/XX/YY/https://almascience.org/datalink/sync?ID=uid:/...applicati<NA>2021.2.00049.SPublic172.103977-51.93358433.384828e+142.000000e+09T701:PM02 T703:PM01 T704:PM04F2023-02-03T15:16:42.00054.581243[88.45..90.45GHz,1128.91kHz,13.7mJy/beam@10km/...91.1502653313.551853ALMA<NA>We propose ACA stand-alone spectral scans in t...ngc1068_b_03_TPHerbst, Eric; Harada, Nanase; Taniguchi, Akio;...13.6107900.2718365.434474uid://A001/X15a9/Xc43uid://A001/X15a9/Xc46uid://A002/Xf53eeb/Xb739Completing 2.6-mm and 1.3-mm spectral scans to...STARGETT967.479293TStarbursts, star formation, Galaxy chemistryActive galaxies2023-04-10T18:35:03.734
152315242021.2.00049.Sngc106840.669879-0.01328960.467100.45102.45101.451.9991128.913.370967.47960.467271.83613519.34553.41uid://A001/X15a9/Xc46phot.flux.density;phys.polarizationADS/JAO.ALMA#2021.2.00049.SALMAJAOALMAuid://A001/X15a9/Xc46.source.ngc1068.spw.21cube2ngc106840.669879-0.0132890.016797Polygon ICRS 40.669879 -0.021687 40.668305 -0....<NA><NA>20481260.46745559605.88092259606.14285212567.74412567.7440.0029260.00298588966.171824/XX/YY/https://almascience.org/datalink/sync?ID=uid:/...applicati<NA>2021.2.00049.SPublic172.103977-51.93358433.384828e+142.000000e+09T701:PM02 T703:PM01 T704:PM04F2023-02-03T15:16:42.00054.581243[88.45..90.45GHz,1128.91kHz,13.7mJy/beam@10km/...101.4475413313.551853ALMA<NA>We propose ACA stand-alone spectral scans in t...ngc1068_b_03_TPHerbst, Eric; Harada, Nanase; Taniguchi, Akio;...13.5193430.2718365.434474uid://A001/X15a9/Xc43uid://A001/X15a9/Xc46uid://A002/Xf53eeb/Xb739Completing 2.6-mm and 1.3-mm spectral scans to...STARGETT967.479293TStarbursts, star formation, Galaxy chemistryActive galaxies2023-04-10T18:35:03.734
152415252021.2.00049.Sngc106840.669879-0.01328960.467102.15104.15103.151.9991128.913.314967.47960.467271.83613514.37557.88uid://A001/X15a9/Xc46phot.flux.density;phys.polarizationADS/JAO.ALMA#2021.2.00049.SALMAJAOALMAuid://A001/X15a9/Xc46.source.ngc1068.spw.23cube2ngc106840.669879-0.0132890.016797Polygon ICRS 40.669879 -0.021687 40.668305 -0....<NA><NA>20481260.46745559605.88092259606.14285212567.74412567.7440.0028780.00293590474.654174/XX/YY/https://almascience.org/datalink/sync?ID=uid:/...applicati<NA>2021.2.00049.SPublic172.103977-51.93358433.384828e+142.000000e+09T701:PM02 T703:PM01 T704:PM04F2023-02-03T15:16:42.00054.581243[88.45..90.45GHz,1128.91kHz,13.7mJy/beam@10km/...103.1507043313.551853ALMA<NA>We propose ACA stand-alone spectral scans in t...ngc1068_b_03_TPHerbst, Eric; Harada, Nanase; Taniguchi, Akio;...13.5143650.2718365.434474uid://A001/X15a9/Xc43uid://A001/X15a9/Xc46uid://A002/Xf53eeb/Xb739Completing 2.6-mm and 1.3-mm spectral scans to...STARGETT967.479293TStarbursts, star formation, Galaxy chemistryActive galaxies2023-04-10T18:35:03.734
152515262021.2.00049.Sngc106840.669879-0.01328956.47295.2697.2696.261.9991128.913.480903.55656.472317.23415231.17613.51uid://A001/X15a9/Xc52phot.flux.density;phys.polarizationADS/JAO.ALMA#2021.2.00049.SALMAJAOALMAuid://A001/X15a9/Xc52.source.ngc1068.spw.17cube2ngc106840.669879-0.0132890.015687Polygon ICRS 40.669879 -0.021132 40.668409 -0....<NA><NA>20481256.47227259587.01003059605.06780512934.65612934.6560.0030820.00314786142.704689/XX/YY/https://almascience.org/datalink/sync?ID=uid:/...applicati<NA>2021.2.00049.SPublic172.103977-51.93358433.384809e+142.000000e+09T701:PM02 T703:PM01 T704:PM04F2023-01-26T13:21:10.00050.974971[95.26..97.26GHz,1128.91kHz,15.2mJy/beam@10km/...96.2598533106.360816ALMA<NA>We propose ACA stand-alone spectral scans in t...ngc1068_d_03_TPHerbst, Eric; Harada, Nanase; Taniguchi, Akio;...15.2311710.3172344.250071uid://A001/X15a9/Xc4fuid://A001/X15a9/Xc52uid://A002/Xf49cca/X1f2b4Completing 2.6-mm and 1.3-mm spectral scans to...STARGETT903.556393TStarbursts, star formation, Galaxy chemistryActive galaxies2023-04-10T18:35:03.734
152615272021.2.00049.Sngc106840.669879-0.01328956.47296.9698.9697.961.9991128.913.420903.55656.472317.23414890.90605.04uid://A001/X15a9/Xc52phot.flux.density;phys.polarizationADS/JAO.ALMA#2021.2.00049.SALMAJAOALMAuid://A001/X15a9/Xc52.source.ngc1068.spw.19cube2ngc106840.669879-0.0132890.015687Polygon ICRS 40.669879 -0.021132 40.668409 -0....<NA><NA>20481256.47227259587.01003059605.06780512934.65612934.6560.0030290.00309287651.195518/XX/YY/https://almascience.org/datalink/sync?ID=uid:/...applicati<NA>2021.2.00049.SPublic172.103977-51.93358433.384809e+142.000000e+09T701:PM02 T703:PM01 T704:PM04F2023-01-26T13:21:10.00050.974971[95.26..97.26GHz,1128.91kHz,15.2mJy/beam@10km/...97.9630163106.360816ALMA<NA>We propose ACA stand-alone spectral scans in t...ngc1068_d_03_TPHerbst, Eric; Harada, Nanase; Taniguchi, Akio;...14.8909040.3172344.250071uid://A001/X15a9/Xc4fuid://A001/X15a9/Xc52uid://A002/Xf49cca/X1f2b4Completing 2.6-mm and 1.3-mm spectral scans to...STARGETT903.556393TStarbursts, star formation, Galaxy chemistryActive galaxies2023-04-10T18:35:03.734
152715282021.2.00049.Sngc106840.669879-0.01328956.472107.26109.26108.261.9991128.913.156903.55656.472317.23415379.20650.55uid://A001/X15a9/Xc52phot.flux.density;phys.polarizationADS/JAO.ALMA#2021.2.00049.SALMAJAOALMAuid://A001/X15a9/Xc52.source.ngc1068.spw.21cube2ngc106840.669879-0.0132890.015687Polygon ICRS 40.669879 -0.021132 40.668409 -0....<NA><NA>20481256.47227259587.01003059605.06780512934.65612934.6560.0027440.00279595000.728710/XX/YY/https://almascience.org/datalink/sync?ID=uid:/...applicati<NA>2021.2.00049.SPublic172.103977-51.93358433.384809e+142.000000e+09T701:PM02 T703:PM01 T704:PM04F2023-01-26T13:21:10.00050.974971[95.26..97.26GHz,1128.91kHz,15.2mJy/beam@10km/...108.2602923106.360816ALMA<NA>We propose ACA stand-alone spectral scans in t...ngc1068_d_03_TPHerbst, Eric; Harada, Nanase; Taniguchi, Akio;...15.3792040.3172344.250071uid://A001/X15a9/Xc4fuid://A001/X15a9/Xc52uid://A002/Xf49cca/X1f2b4Completing 2.6-mm and 1.3-mm spectral scans to...STARGETT903.556393TStarbursts, star formation, Galaxy chemistryActive galaxies2023-04-10T18:35:03.734
152815292021.2.00049.Sngc106840.669879-0.01328956.472108.96110.96109.961.9991128.913.106903.55656.472317.23415925.65678.99uid://A001/X15a9/Xc52phot.flux.density;phys.polarizationADS/JAO.ALMA#2021.2.00049.SALMAJAOALMAuid://A001/X15a9/Xc52.source.ngc1068.spw.23cube2ngc106840.669879-0.0132890.015687Polygon ICRS 40.669879 -0.021132 40.668409 -0....<NA><NA>20481256.47227259587.01003059605.06780512934.65612934.6560.0027020.00275196509.219539/XX/YY/https://almascience.org/datalink/sync?ID=uid:/...applicati<NA>2021.2.00049.SPublic172.103977-51.93358433.384809e+142.000000e+09T701:PM02 T703:PM01 T704:PM04F2023-01-26T13:21:10.00050.974971[95.26..97.26GHz,1128.91kHz,15.2mJy/beam@10km/...109.9634553106.360816ALMA<NA>We propose ACA stand-alone spectral scans in t...ngc1068_d_03_TPHerbst, Eric; Harada, Nanase; Taniguchi, Akio;...15.9256550.3172344.250071uid://A001/X15a9/Xc4fuid://A001/X15a9/Xc52uid://A002/Xf49cca/X1f2b4Completing 2.6-mm and 1.3-mm spectral scans to...STARGETT903.556393TStarbursts, star formation, Galaxy chemistryActive galaxies2023-04-10T18:35:03.734
\n", "

1529 rows × 88 columns

\n", "
" ], "text/plain": [ " Obs project_code ALMA_source_name RAJ2000 DEJ2000 \\\n", "0 1 2011.0.00268.S LESS J0332-2756 53.122042 -27.938694 \n", "1 2 2011.0.00268.S LESS J0332-2756 53.122042 -27.938694 \n", "2 3 2011.0.00405.S PKS1830-211 278.416330 -21.061080 \n", "3 4 2011.0.00405.S PKS1830-211 278.416330 -21.061080 \n", "4 5 2011.0.00405.S PKS1830-211 278.416330 -21.061080 \n", "5 6 2011.0.00405.S PKS1830-211 278.416330 -21.061080 \n", "6 7 2011.0.00405.S PKS1830-211 278.416330 -21.061080 \n", "7 8 2011.0.00405.S PKS1830-211 278.416330 -21.061080 \n", "8 9 2011.0.00405.S PKS1830-211 278.416330 -21.061080 \n", "... ... ... ... ... ... \n", "1520 1521 2021.2.00049.S ngc1068 40.669879 -0.013289 \n", "1521 1522 2021.2.00049.S ngc1068 40.669879 -0.013289 \n", "1522 1523 2021.2.00049.S ngc1068 40.669879 -0.013289 \n", "1523 1524 2021.2.00049.S ngc1068 40.669879 -0.013289 \n", "1524 1525 2021.2.00049.S ngc1068 40.669879 -0.013289 \n", "1525 1526 2021.2.00049.S ngc1068 40.669879 -0.013289 \n", "1526 1527 2021.2.00049.S ngc1068 40.669879 -0.013289 \n", "1527 1528 2021.2.00049.S ngc1068 40.669879 -0.013289 \n", "1528 1529 2021.2.00049.S ngc1068 40.669879 -0.013289 \n", "\n", " ang_res_arcsec min_freq_GHz max_freq_GHz central_freq_GHz \\\n", "0 1.264 239.50 241.37 240.43 \n", "1 1.264 252.85 254.73 253.79 \n", "2 0.458 281.64 283.51 282.57 \n", "3 1.571 105.07 106.95 106.01 \n", "4 1.571 103.20 105.08 104.14 \n", "5 1.571 93.07 94.95 94.01 \n", "6 1.571 91.20 93.08 92.14 \n", "7 0.577 259.58 261.47 260.52 \n", "8 0.577 256.63 258.53 257.58 \n", "... ... ... ... ... \n", "1520 12.450 102.15 104.15 103.15 \n", "1521 60.467 88.45 90.45 89.45 \n", "1522 60.467 90.15 92.15 91.15 \n", "1523 60.467 100.45 102.45 101.45 \n", "1524 60.467 102.15 104.15 103.15 \n", "1525 56.472 95.26 97.26 96.26 \n", "1526 56.472 96.96 98.96 97.96 \n", "1527 56.472 107.26 109.26 108.26 \n", "1528 56.472 108.96 110.96 109.96 \n", "\n", " bandwidth_GHz freq_res_kHz vel_res_kms LAS_arcsec FoV_arcsec \\\n", "0 1.875 976.56 1.213 11.242 23.564 \n", "1 1.875 976.56 1.149 11.242 23.564 \n", "2 1.874 976.56 1.033 4.088 20.113 \n", "3 1.878 976.56 2.737 16.994 58.774 \n", "4 1.878 976.56 2.786 16.994 58.774 \n", "5 1.878 976.56 3.083 16.994 58.774 \n", "6 1.878 976.56 3.145 16.994 58.774 \n", "7 1.894 976.56 1.120 5.440 23.118 \n", "8 1.894 976.56 1.132 5.440 23.118 \n", "... ... ... ... ... ... \n", "1520 1.999 1128.91 3.314 71.952 103.658 \n", "1521 1.999 1128.91 3.742 967.479 60.467 \n", "1522 1.999 1128.91 3.673 967.479 60.467 \n", "1523 1.999 1128.91 3.370 967.479 60.467 \n", "1524 1.999 1128.91 3.314 967.479 60.467 \n", "1525 1.999 1128.91 3.480 903.556 56.472 \n", "1526 1.999 1128.91 3.420 903.556 56.472 \n", "1527 1.999 1128.91 3.156 903.556 56.472 \n", "1528 1.999 1128.91 3.106 903.556 56.472 \n", "\n", " cont_sens_bandwidth line_sens_10kms line_sens_native \\\n", "0 79.299 1708.54 111.94 \n", "1 79.299 1675.07 112.74 \n", "2 60.429 1677.23 119.14 \n", "3 29.824 1370.09 59.71 \n", "4 29.824 1381.77 59.69 \n", "5 29.824 1440.54 59.16 \n", "6 29.824 1500.60 61.02 \n", "7 74.597 2278.21 154.60 \n", "8 74.597 2189.73 147.77 \n", "... ... ... ... \n", "1520 153.372 7620.71 314.59 \n", "1521 271.836 13711.09 532.59 \n", "1522 271.836 13610.79 533.65 \n", "1523 271.836 13519.34 553.41 \n", "1524 271.836 13514.37 557.88 \n", "1525 317.234 15231.17 613.51 \n", "1526 317.234 14890.90 605.04 \n", "1527 317.234 15379.20 650.55 \n", "1528 317.234 15925.65 678.99 \n", "\n", " MOUS_id collections o_ucd \\\n", "0 uid://A002/X303d22/X7b phot.flux.density;phys.polarization \n", "1 uid://A002/X303d22/X7b phot.flux.density;phys.polarization \n", "2 uid://A002/X36d874/X7a phot.flux.density;phys.polarization \n", "3 uid://A002/X36d874/X80 phot.flux.density;phys.polarization \n", "4 uid://A002/X36d874/X80 phot.flux.density;phys.polarization \n", "5 uid://A002/X36d874/X80 phot.flux.density;phys.polarization \n", "6 uid://A002/X36d874/X80 phot.flux.density;phys.polarization \n", "7 uid://A002/X36d874/X7c phot.flux.density;phys.polarization \n", "8 uid://A002/X36d874/X7c phot.flux.density;phys.polarization \n", "... ... ... ... \n", "1520 uid://A001/X15a9/Xc44 phot.flux.density;phys.polarization \n", "1521 uid://A001/X15a9/Xc46 phot.flux.density;phys.polarization \n", "1522 uid://A001/X15a9/Xc46 phot.flux.density;phys.polarization \n", "1523 uid://A001/X15a9/Xc46 phot.flux.density;phys.polarization \n", "1524 uid://A001/X15a9/Xc46 phot.flux.density;phys.polarization \n", "1525 uid://A001/X15a9/Xc52 phot.flux.density;phys.polarization \n", "1526 uid://A001/X15a9/Xc52 phot.flux.density;phys.polarization \n", "1527 uid://A001/X15a9/Xc52 phot.flux.density;phys.polarization \n", "1528 uid://A001/X15a9/Xc52 phot.flux.density;phys.polarization \n", "\n", " obs_publisher_did obs_collection facility_name \\\n", "0 ADS/JAO.ALMA#2011.0.00268.S ALMA JAO \n", "1 ADS/JAO.ALMA#2011.0.00268.S ALMA JAO \n", "2 ADS/JAO.ALMA#2011.0.00405.S ALMA JAO \n", "3 ADS/JAO.ALMA#2011.0.00405.S ALMA JAO \n", "4 ADS/JAO.ALMA#2011.0.00405.S ALMA JAO \n", "5 ADS/JAO.ALMA#2011.0.00405.S ALMA JAO \n", "6 ADS/JAO.ALMA#2011.0.00405.S ALMA JAO \n", "7 ADS/JAO.ALMA#2011.0.00405.S ALMA JAO \n", "8 ADS/JAO.ALMA#2011.0.00405.S ALMA JAO \n", "... ... ... ... \n", "1520 ADS/JAO.ALMA#2021.2.00049.S ALMA JAO \n", "1521 ADS/JAO.ALMA#2021.2.00049.S ALMA JAO \n", "1522 ADS/JAO.ALMA#2021.2.00049.S ALMA JAO \n", "1523 ADS/JAO.ALMA#2021.2.00049.S ALMA JAO \n", "1524 ADS/JAO.ALMA#2021.2.00049.S ALMA JAO \n", "1525 ADS/JAO.ALMA#2021.2.00049.S ALMA JAO \n", "1526 ADS/JAO.ALMA#2021.2.00049.S ALMA JAO \n", "1527 ADS/JAO.ALMA#2021.2.00049.S ALMA JAO \n", "1528 ADS/JAO.ALMA#2021.2.00049.S ALMA JAO \n", "\n", " instrument_name obs_id \\\n", "0 ALMA uid://A002/X303d22/X7b.source.LESS J0332-2756.... \n", "1 ALMA uid://A002/X303d22/X7b.source.LESS J0332-2756.... \n", "2 ALMA uid://A002/X36d874/X7a.source.PKS1830-211.spw.17 \n", "3 ALMA uid://A002/X36d874/X80.source.PKS1830-211.spw.23 \n", "4 ALMA uid://A002/X36d874/X80.source.PKS1830-211.spw.21 \n", "5 ALMA uid://A002/X36d874/X80.source.PKS1830-211.spw.19 \n", "6 ALMA uid://A002/X36d874/X80.source.PKS1830-211.spw.17 \n", "7 ALMA uid://A002/X36d874/X7c.source.PKS1830-211.spw.23 \n", "8 ALMA uid://A002/X36d874/X7c.source.PKS1830-211.spw.21 \n", "... ... ... \n", "1520 ALMA uid://A001/X15a9/Xc44.source.ngc1068.spw.22 \n", "1521 ALMA uid://A001/X15a9/Xc46.source.ngc1068.spw.17 \n", "1522 ALMA uid://A001/X15a9/Xc46.source.ngc1068.spw.19 \n", "1523 ALMA uid://A001/X15a9/Xc46.source.ngc1068.spw.21 \n", "1524 ALMA uid://A001/X15a9/Xc46.source.ngc1068.spw.23 \n", "1525 ALMA uid://A001/X15a9/Xc52.source.ngc1068.spw.17 \n", "1526 ALMA uid://A001/X15a9/Xc52.source.ngc1068.spw.19 \n", "1527 ALMA uid://A001/X15a9/Xc52.source.ngc1068.spw.21 \n", "1528 ALMA uid://A001/X15a9/Xc52.source.ngc1068.spw.23 \n", "\n", " dataproduct_type calib_level target_name s_ra s_dec \\\n", "0 cube 2 LESS J0332-2756 53.122042 -27.938694 \n", "1 cube 2 LESS J0332-2756 53.122042 -27.938694 \n", "2 cube 2 PKS1830-211 278.416330 -21.061080 \n", "3 cube 2 PKS1830-211 278.416330 -21.061080 \n", "4 cube 2 PKS1830-211 278.416330 -21.061080 \n", "5 cube 2 PKS1830-211 278.416330 -21.061080 \n", "6 cube 2 PKS1830-211 278.416330 -21.061080 \n", "7 cube 2 PKS1830-211 278.416330 -21.061080 \n", "8 cube 2 PKS1830-211 278.416330 -21.061080 \n", "... ... ... ... ... ... \n", "1520 cube 2 ngc1068 40.669879 -0.013289 \n", "1521 cube 2 ngc1068 40.669879 -0.013289 \n", "1522 cube 2 ngc1068 40.669879 -0.013289 \n", "1523 cube 2 ngc1068 40.669879 -0.013289 \n", "1524 cube 2 ngc1068 40.669879 -0.013289 \n", "1525 cube 2 ngc1068 40.669879 -0.013289 \n", "1526 cube 2 ngc1068 40.669879 -0.013289 \n", "1527 cube 2 ngc1068 40.669879 -0.013289 \n", "1528 cube 2 ngc1068 40.669879 -0.013289 \n", "\n", " s_fov s_region s_xel1 \\\n", "0 0.006546 Circle ICRS 53.122042 -27.938694 0.003273 \n", "1 0.006546 Circle ICRS 53.122042 -27.938694 0.003273 \n", "2 0.005587 Circle ICRS 278.416330 -21.061080 0.002793 \n", "3 0.016326 Circle ICRS 278.416330 -21.061080 0.008163 \n", "4 0.016326 Circle ICRS 278.416330 -21.061080 0.008163 \n", "5 0.016326 Circle ICRS 278.416330 -21.061080 0.008163 \n", "6 0.016326 Circle ICRS 278.416330 -21.061080 0.008163 \n", "7 0.006422 Circle ICRS 278.416330 -21.061080 0.003211 \n", "8 0.006422 Circle ICRS 278.416330 -21.061080 0.003211 \n", "... ... ... ... \n", "1520 0.028794 Polygon ICRS 40.669879 -0.027686 40.667181 -0.... \n", "1521 0.016797 Polygon ICRS 40.669879 -0.021687 40.668305 -0.... \n", "1522 0.016797 Polygon ICRS 40.669879 -0.021687 40.668305 -0.... \n", "1523 0.016797 Polygon ICRS 40.669879 -0.021687 40.668305 -0.... \n", "1524 0.016797 Polygon ICRS 40.669879 -0.021687 40.668305 -0.... \n", "1525 0.015687 Polygon ICRS 40.669879 -0.021132 40.668409 -0.... \n", "1526 0.015687 Polygon ICRS 40.669879 -0.021132 40.668409 -0.... \n", "1527 0.015687 Polygon ICRS 40.669879 -0.021132 40.668409 -0.... \n", "1528 0.015687 Polygon ICRS 40.669879 -0.021132 40.668409 -0.... \n", "\n", " s_xel2 em_xel t_xel pol_xel s_resolution t_min \\\n", "0 3840 1 2 1.264015 55936.926044 \n", "1 3840 1 2 1.264015 55936.926044 \n", "2 3840 1 2 0.458195 56028.254136 \n", "3 3840 1 2 1.570623 56069.390944 \n", "4 3840 1 2 1.570623 56069.390944 \n", "5 3840 1 2 1.570623 56069.390944 \n", "6 3840 1 2 1.570623 56069.390944 \n", "7 3840 1 2 0.576879 56026.265895 \n", "8 3840 1 2 0.576879 56026.265895 \n", "... ... ... ... ... ... ... \n", "1520 2048 1 2 12.449519 59606.904314 \n", "1521 2048 1 2 60.467455 59605.880922 \n", "1522 2048 1 2 60.467455 59605.880922 \n", "1523 2048 1 2 60.467455 59605.880922 \n", "1524 2048 1 2 60.467455 59605.880922 \n", "1525 2048 1 2 56.472272 59587.010030 \n", "1526 2048 1 2 56.472272 59587.010030 \n", "1527 2048 1 2 56.472272 59587.010030 \n", "1528 2048 1 2 56.472272 59587.010030 \n", "\n", " t_max t_exptime t_resolution em_min em_max \\\n", "0 55939.192641 4536.000 4536.000 0.001242 0.001252 \n", "1 55939.192641 4536.000 4536.000 0.001177 0.001186 \n", "2 56028.361572 3144.960 3144.960 0.001057 0.001064 \n", "3 56093.395812 3719.520 3719.520 0.002803 0.002853 \n", "4 56093.395812 3719.520 3719.520 0.002853 0.002905 \n", "5 56093.395812 3719.520 3719.520 0.003157 0.003221 \n", "6 56093.395812 3719.520 3719.520 0.003221 0.003287 \n", "7 56093.329178 4838.400 4838.400 0.001147 0.001155 \n", "8 56093.329178 4838.400 4838.400 0.001160 0.001168 \n", "... ... ... ... ... ... \n", "1520 59607.001421 5806.080 5806.080 0.002878 0.002935 \n", "1521 59606.142852 12567.744 12567.744 0.003315 0.003389 \n", "1522 59606.142852 12567.744 12567.744 0.003253 0.003325 \n", "1523 59606.142852 12567.744 12567.744 0.002926 0.002985 \n", "1524 59606.142852 12567.744 12567.744 0.002878 0.002935 \n", "1525 59605.067805 12934.656 12934.656 0.003082 0.003147 \n", "1526 59605.067805 12934.656 12934.656 0.003029 0.003092 \n", "1527 59605.067805 12934.656 12934.656 0.002744 0.002795 \n", "1528 59605.067805 12934.656 12934.656 0.002702 0.002751 \n", "\n", " em_res_power pol_states \\\n", "0 247134.408560 /XX/YY/ \n", "1 260809.621360 /XX/YY/ \n", "2 290354.950000 /XX/YY/ \n", "3 109524.742000 /XX/YY/ \n", "4 107605.766000 /XX/YY/ \n", "5 97236.742000 /XX/YY/ \n", "6 95317.766000 /XX/YY/ \n", "7 267762.499440 /XX/YY/ \n", "8 264749.082480 /XX/YY/ \n", "... ... ... \n", "1520 90474.638093 /XX/YY/ \n", "1521 80108.207540 /XX/YY/ \n", "1522 81616.689890 /XX/YY/ \n", "1523 88966.171824 /XX/YY/ \n", "1524 90474.654174 /XX/YY/ \n", "1525 86142.704689 /XX/YY/ \n", "1526 87651.195518 /XX/YY/ \n", "1527 95000.728710 /XX/YY/ \n", "1528 96509.219539 /XX/YY/ \n", "\n", " access_url access_format \\\n", "0 https://almascience.org/datalink/sync?ID=uid:/... applicati \n", "1 https://almascience.org/datalink/sync?ID=uid:/... applicati \n", "2 https://almascience.org/datalink/sync?ID=uid:/... applicati \n", "3 https://almascience.org/datalink/sync?ID=uid:/... applicati \n", "4 https://almascience.org/datalink/sync?ID=uid:/... applicati \n", "5 https://almascience.org/datalink/sync?ID=uid:/... applicati \n", "6 https://almascience.org/datalink/sync?ID=uid:/... applicati \n", "7 https://almascience.org/datalink/sync?ID=uid:/... applicati \n", "8 https://almascience.org/datalink/sync?ID=uid:/... applicati \n", "... ... ... \n", "1520 https://almascience.org/datalink/sync?ID=uid:/... applicati \n", "1521 https://almascience.org/datalink/sync?ID=uid:/... applicati \n", "1522 https://almascience.org/datalink/sync?ID=uid:/... applicati \n", "1523 https://almascience.org/datalink/sync?ID=uid:/... applicati \n", "1524 https://almascience.org/datalink/sync?ID=uid:/... applicati \n", "1525 https://almascience.org/datalink/sync?ID=uid:/... applicati \n", "1526 https://almascience.org/datalink/sync?ID=uid:/... applicati \n", "1527 https://almascience.org/datalink/sync?ID=uid:/... applicati \n", "1528 https://almascience.org/datalink/sync?ID=uid:/... applicati \n", "\n", " access_estsize proposal_id data_rights gal_longitude gal_latitude \\\n", "0 2011.0.00268.S Public 223.796062 -54.451922 \n", "1 2011.0.00268.S Public 223.796062 -54.451922 \n", "2 2011.0.00405.S Public 12.165817 -5.711677 \n", "3 2011.0.00405.S Public 12.165817 -5.711677 \n", "4 2011.0.00405.S Public 12.165817 -5.711677 \n", "5 2011.0.00405.S Public 12.165817 -5.711677 \n", "6 2011.0.00405.S Public 12.165817 -5.711677 \n", "7 2011.0.00405.S Public 12.165817 -5.711677 \n", "8 2011.0.00405.S Public 12.165817 -5.711677 \n", "... ... ... ... ... ... \n", "1520 2021.2.00049.S Public 172.103977 -51.933584 \n", "1521 2021.2.00049.S Public 172.103977 -51.933584 \n", "1522 2021.2.00049.S Public 172.103977 -51.933584 \n", "1523 2021.2.00049.S Public 172.103977 -51.933584 \n", "1524 2021.2.00049.S Public 172.103977 -51.933584 \n", "1525 2021.2.00049.S Public 172.103977 -51.933584 \n", "1526 2021.2.00049.S Public 172.103977 -51.933584 \n", "1527 2021.2.00049.S Public 172.103977 -51.933584 \n", "1528 2021.2.00049.S Public 172.103977 -51.933584 \n", "\n", " band_list em_resolution bandwidth \\\n", "0 6 2.928016e+14 1.875000e+09 \n", "1 6 2.928016e+14 1.875000e+09 \n", "2 7 2.927253e+14 1.875000e+09 \n", "3 3 2.927369e+14 1.875000e+09 \n", "4 3 2.927369e+14 1.875000e+09 \n", "5 3 2.927369e+14 1.875000e+09 \n", "6 3 2.927369e+14 1.875000e+09 \n", "7 6 2.927251e+14 1.875000e+09 \n", "8 6 2.927251e+14 1.875000e+09 \n", "... ... ... ... \n", "1520 3 3.384829e+14 2.000000e+09 \n", "1521 3 3.384828e+14 2.000000e+09 \n", "1522 3 3.384828e+14 2.000000e+09 \n", "1523 3 3.384828e+14 2.000000e+09 \n", "1524 3 3.384828e+14 2.000000e+09 \n", "1525 3 3.384809e+14 2.000000e+09 \n", "1526 3 3.384809e+14 2.000000e+09 \n", "1527 3 3.384809e+14 2.000000e+09 \n", "1528 3 3.384809e+14 2.000000e+09 \n", "\n", " antenna_arrays is_mosaic \\\n", "0 A002:PM02 A004:DV04 A009:DA43 A011:DV12 A013:D... F \n", "1 A002:PM02 A004:DV04 A009:DA43 A011:DV12 A013:D... F \n", "2 A003:DA41 A011:DV12 A025:DV14 A037:PM01 A045:D... F \n", "3 A003:DA41 A004:DV04 A008:DV19 A011:DV12 A021:D... F \n", "4 A003:DA41 A004:DV04 A008:DV19 A011:DV12 A021:D... F \n", "5 A003:DA41 A004:DV04 A008:DV19 A011:DV12 A021:D... F \n", "6 A003:DA41 A004:DV04 A008:DV19 A011:DV12 A021:D... F \n", "7 A003:DA41 A004:DV04 A008:DV19 A011:DV12 A021:D... F \n", "8 A003:DA41 A004:DV04 A008:DV19 A011:DV12 A021:D... F \n", "... ... ... \n", "1520 J501:CM10 J502:CM02 J503:CM03 J504:CM12 J506:C... F \n", "1521 T701:PM02 T703:PM01 T704:PM04 F \n", "1522 T701:PM02 T703:PM01 T704:PM04 F \n", "1523 T701:PM02 T703:PM01 T704:PM04 F \n", "1524 T701:PM02 T703:PM01 T704:PM04 F \n", "1525 T701:PM02 T703:PM01 T704:PM04 F \n", "1526 T701:PM02 T703:PM01 T704:PM04 F \n", "1527 T701:PM02 T703:PM01 T704:PM04 F \n", "1528 T701:PM02 T703:PM01 T704:PM04 F \n", "\n", " obs_release_date spatial_resolution \\\n", "0 2013-02-09T01:45:00.000 1.264015 \n", "1 2013-02-09T01:45:00.000 1.264015 \n", "2 2013-05-22T07:31:59.000 0.458195 \n", "3 2013-10-10T14:47:51.000 1.570623 \n", "4 2013-10-10T14:47:51.000 1.570623 \n", "5 2013-10-10T14:47:51.000 1.570623 \n", "6 2013-10-10T14:47:51.000 1.570623 \n", "7 2013-10-19T12:40:13.000 0.576879 \n", "8 2013-10-19T12:40:13.000 0.576879 \n", "... ... ... \n", "1520 2023-02-03T02:27:48.000 12.449519 \n", "1521 2023-02-03T15:16:42.000 54.581243 \n", "1522 2023-02-03T15:16:42.000 54.581243 \n", "1523 2023-02-03T15:16:42.000 54.581243 \n", "1524 2023-02-03T15:16:42.000 54.581243 \n", "1525 2023-01-26T13:21:10.000 50.974971 \n", "1526 2023-01-26T13:21:10.000 50.974971 \n", "1527 2023-01-26T13:21:10.000 50.974971 \n", "1528 2023-01-26T13:21:10.000 50.974971 \n", "\n", " frequency_support frequency \\\n", "0 [239.50..241.37GHz,976.56kHz,1.7mJy/beam@10km/... 240.434432 \n", "1 [239.50..241.37GHz,976.56kHz,1.7mJy/beam@10km/... 253.790770 \n", "2 [281.64..283.51GHz,976.56kHz,1.7mJy/beam@10km/... 282.573239 \n", "3 [91.20..93.08GHz,976.56kHz,1.5mJy/beam@10km/s,... 106.011861 \n", "4 [91.20..93.08GHz,976.56kHz,1.5mJy/beam@10km/s,... 104.138014 \n", "5 [91.20..93.08GHz,976.56kHz,1.5mJy/beam@10km/s,... 94.012841 \n", "6 [91.20..93.08GHz,976.56kHz,1.5mJy/beam@10km/s,... 92.138994 \n", "7 [242.31..244.20GHz,976.56kHz,2.2mJy/beam@10km/... 260.523024 \n", "8 [242.31..244.20GHz,976.56kHz,2.2mJy/beam@10km/... 257.580534 \n", "... ... ... \n", "1520 [88.45..90.45GHz,1128.91kHz,7.7mJy/beam@10km/s... 103.150713 \n", "1521 [88.45..90.45GHz,1128.91kHz,13.7mJy/beam@10km/... 89.447102 \n", "1522 [88.45..90.45GHz,1128.91kHz,13.7mJy/beam@10km/... 91.150265 \n", "1523 [88.45..90.45GHz,1128.91kHz,13.7mJy/beam@10km/... 101.447541 \n", "1524 [88.45..90.45GHz,1128.91kHz,13.7mJy/beam@10km/... 103.150704 \n", "1525 [95.26..97.26GHz,1128.91kHz,15.2mJy/beam@10km/... 96.259853 \n", "1526 [95.26..97.26GHz,1128.91kHz,15.2mJy/beam@10km/... 97.963016 \n", "1527 [95.26..97.26GHz,1128.91kHz,15.2mJy/beam@10km/... 108.260292 \n", "1528 [95.26..97.26GHz,1128.91kHz,15.2mJy/beam@10km/... 109.963455 \n", "\n", " velocity_resolution obs_creator_name \\\n", "0 1149.468553 ALMA \n", "1 1149.468553 ALMA \n", "2 984.336598 ALMA \n", "3 2737.212182 ALMA \n", "4 2737.212182 ALMA \n", "5 2737.212182 ALMA \n", "6 2737.212182 ALMA \n", "7 1119.620778 ALMA \n", "8 1119.620778 ALMA \n", "... ... ... \n", "1520 3313.552442 ALMA \n", "1521 3313.551853 ALMA \n", "1522 3313.551853 ALMA \n", "1523 3313.551853 ALMA \n", "1524 3313.551853 ALMA \n", "1525 3106.360816 ALMA \n", "1526 3106.360816 ALMA \n", "1527 3106.360816 ALMA \n", "1528 3106.360816 ALMA \n", "\n", " pub_title \\\n", "0 ALMA reveals a chemically evolved submillimete... \n", "1 ALMA reveals a chemically evolved submillimete... \n", "2 A strong magnetic field in the jet base of a s... \n", "3 A strong magnetic field in the jet base of a s... \n", "4 A strong magnetic field in the jet base of a s... \n", "5 A strong magnetic field in the jet base of a s... \n", "6 A strong magnetic field in the jet base of a s... \n", "7 A strong magnetic field in the jet base of a s... \n", "8 A strong magnetic field in the jet base of a s... \n", "... ... \n", "1520 \n", "1521 \n", "1522 \n", "1523 \n", "1524 \n", "1525 \n", "1526 \n", "1527 \n", "1528 \n", "\n", " first_author \\\n", "0 Leon, S. Nagao, T. Ono, Yoshiaki \n", "1 Leon, S. Nagao, T. Ono, Yoshiaki \n", "2 Bagdonaite, J. Martí-Vidal, I. Martí-Vidal, Iv... \n", "3 Bagdonaite, J. Martí-Vidal, I. Martí-Vidal, Iv... \n", "4 Bagdonaite, J. Martí-Vidal, I. Martí-Vidal, Iv... \n", "5 Bagdonaite, J. Martí-Vidal, I. Martí-Vidal, Iv... \n", "6 Bagdonaite, J. Martí-Vidal, I. Martí-Vidal, Iv... \n", "7 Bagdonaite, J. Martí-Vidal, I. Martí-Vidal, Iv... \n", "8 Bagdonaite, J. Martí-Vidal, I. Martí-Vidal, Iv... \n", "... ... \n", "1520 \n", "1521 \n", "1522 \n", "1523 \n", "1524 \n", "1525 \n", "1526 \n", "1527 \n", "1528 \n", "\n", " authors \\\n", "0 Leon, S.; Cortes, P.C.; Guerard, M.; Villard, ... \n", "1 Leon, S.; Cortes, P.C.; Guerard, M.; Villard, ... \n", "2 Bagdonaite, J.; Daprà, M.; Jansen, P.; Bethlem... \n", "3 Bagdonaite, J.; Daprà, M.; Jansen, P.; Bethlem... \n", "4 Bagdonaite, J.; Daprà, M.; Jansen, P.; Bethlem... \n", "5 Bagdonaite, J.; Daprà, M.; Jansen, P.; Bethlem... \n", "6 Bagdonaite, J.; Daprà, M.; Jansen, P.; Bethlem... \n", "7 Bagdonaite, J.; Daprà, M.; Jansen, P.; Bethlem... \n", "8 Bagdonaite, J.; Daprà, M.; Jansen, P.; Bethlem... \n", "... ... \n", "1520 \n", "1521 \n", "1522 \n", "1523 \n", "1524 \n", "1525 \n", "1526 \n", "1527 \n", "1528 \n", "\n", " pub_abstract publication_year \\\n", "0 Aims: We aim at analyzing the (sub-)millimeter... 2012 \n", "1 Aims: We aim at analyzing the (sub-)millimeter... 2012 \n", "2 A limit on a possible cosmological variation o... 2013 \n", "3 A limit on a possible cosmological variation o... 2013 \n", "4 A limit on a possible cosmological variation o... 2013 \n", "5 A limit on a possible cosmological variation o... 2013 \n", "6 A limit on a possible cosmological variation o... 2013 \n", "7 A limit on a possible cosmological variation o... 2013 \n", "8 A limit on a possible cosmological variation o... 2013 \n", "... ... ... \n", "1520 \n", "1521 \n", "1522 \n", "1523 \n", "1524 \n", "1525 \n", "1526 \n", "1527 \n", "1528 \n", "\n", " proposal_abstract \\\n", "0 Metallicity of galaxies and its redshift evolu... \n", "1 Metallicity of galaxies and its redshift evolu... \n", "2 The z=0.89 (sub)mm molecular absorber toward t... \n", "3 The z=0.89 (sub)mm molecular absorber toward t... \n", "4 The z=0.89 (sub)mm molecular absorber toward t... \n", "5 The z=0.89 (sub)mm molecular absorber toward t... \n", "6 The z=0.89 (sub)mm molecular absorber toward t... \n", "7 The z=0.89 (sub)mm molecular absorber toward t... \n", "8 The z=0.89 (sub)mm molecular absorber toward t... \n", "... ... \n", "1520 We propose ACA stand-alone spectral scans in t... \n", "1521 We propose ACA stand-alone spectral scans in t... \n", "1522 We propose ACA stand-alone spectral scans in t... \n", "1523 We propose ACA stand-alone spectral scans in t... \n", "1524 We propose ACA stand-alone spectral scans in t... \n", "1525 We propose ACA stand-alone spectral scans in t... \n", "1526 We propose ACA stand-alone spectral scans in t... \n", "1527 We propose ACA stand-alone spectral scans in t... \n", "1528 We propose ACA stand-alone spectral scans in t... \n", "\n", " schedblock_name \\\n", "0 LESS J0332-2756 \n", "1 LESS J0332-2756 \n", "2 PKS1830_CH_and_H2O_b7_run_x2 \n", "3 PKS1830_HCOplus_b3_run_x3 \n", "4 PKS1830_HCOplus_b3_run_x3 \n", "5 PKS1830_HCOplus_b3_run_x3 \n", "6 PKS1830_HCOplus_b3_run_x3 \n", "7 PKS1830-211_CO4-3_b6_run_x2 \n", "8 PKS1830-211_CO4-3_b6_run_x2 \n", "... ... \n", "1520 ngc1068_b_03_7M \n", "1521 ngc1068_b_03_TP \n", "1522 ngc1068_b_03_TP \n", "1523 ngc1068_b_03_TP \n", "1524 ngc1068_b_03_TP \n", "1525 ngc1068_d_03_TP \n", "1526 ngc1068_d_03_TP \n", "1527 ngc1068_d_03_TP \n", "1528 ngc1068_d_03_TP \n", "\n", " proposal_authors sensitivity_10kms \\\n", "0 De Breuck, Carlos; Hatsukade, Bunyo; Maiolino,... 1.708538 \n", "1 De Breuck, Carlos; Hatsukade, Bunyo; Maiolino,... 1.675071 \n", "2 Bethlem, Hendrick; Gerin, Maryvonne; Bottinell... 1.677226 \n", "3 Bethlem, Hendrick; Gerin, Maryvonne; Bottinell... 1.370093 \n", "4 Bethlem, Hendrick; Gerin, Maryvonne; Bottinell... 1.381767 \n", "5 Bethlem, Hendrick; Gerin, Maryvonne; Bottinell... 1.440543 \n", "6 Bethlem, Hendrick; Gerin, Maryvonne; Bottinell... 1.500603 \n", "7 Bethlem, Hendrick; Gerin, Maryvonne; Bottinell... 2.278214 \n", "8 Bethlem, Hendrick; Gerin, Maryvonne; Bottinell... 2.189729 \n", "... ... ... \n", "1520 Herbst, Eric; Harada, Nanase; Taniguchi, Akio;... 7.620713 \n", "1521 Herbst, Eric; Harada, Nanase; Taniguchi, Akio;... 13.711090 \n", "1522 Herbst, Eric; Harada, Nanase; Taniguchi, Akio;... 13.610790 \n", "1523 Herbst, Eric; Harada, Nanase; Taniguchi, Akio;... 13.519343 \n", "1524 Herbst, Eric; Harada, Nanase; Taniguchi, Akio;... 13.514365 \n", "1525 Herbst, Eric; Harada, Nanase; Taniguchi, Akio;... 15.231171 \n", "1526 Herbst, Eric; Harada, Nanase; Taniguchi, Akio;... 14.890904 \n", "1527 Herbst, Eric; Harada, Nanase; Taniguchi, Akio;... 15.379204 \n", "1528 Herbst, Eric; Harada, Nanase; Taniguchi, Akio;... 15.925655 \n", "\n", " cont_sensitivity_bandwidth pwv group_ous_uid \\\n", "0 0.079299 1.459508 \n", "1 0.079299 1.459508 \n", "2 0.060429 0.701340 \n", "3 0.029824 0.918540 \n", "4 0.029824 0.918540 \n", "5 0.029824 0.918540 \n", "6 0.029824 0.918540 \n", "7 0.074597 2.121277 \n", "8 0.074597 2.121277 \n", "... ... ... ... \n", "1520 0.153372 5.186000 uid://A001/X15a9/Xc43 \n", "1521 0.271836 5.434474 uid://A001/X15a9/Xc43 \n", "1522 0.271836 5.434474 uid://A001/X15a9/Xc43 \n", "1523 0.271836 5.434474 uid://A001/X15a9/Xc43 \n", "1524 0.271836 5.434474 uid://A001/X15a9/Xc43 \n", "1525 0.317234 4.250071 uid://A001/X15a9/Xc4f \n", "1526 0.317234 4.250071 uid://A001/X15a9/Xc4f \n", "1527 0.317234 4.250071 uid://A001/X15a9/Xc4f \n", "1528 0.317234 4.250071 uid://A001/X15a9/Xc4f \n", "\n", " member_ous_uid asdm_uid \\\n", "0 uid://A002/X303d22/X7b uid://A002/X36a70f/X318 \n", "1 uid://A002/X303d22/X7b uid://A002/X36a70f/X318 \n", "2 uid://A002/X36d874/X7a uid://A002/X3cb0a0/X9e8 \n", "3 uid://A002/X36d874/X80 uid://A002/X411025/X441 \n", "4 uid://A002/X36d874/X80 uid://A002/X411025/X441 \n", "5 uid://A002/X36d874/X80 uid://A002/X411025/X441 \n", "6 uid://A002/X36d874/X80 uid://A002/X411025/X441 \n", "7 uid://A002/X36d874/X7c uid://A002/X3ca066/Xa6f \n", "8 uid://A002/X36d874/X7c uid://A002/X3ca066/Xa6f \n", "... ... ... \n", "1520 uid://A001/X15a9/Xc44 uid://A002/Xf53eeb/X124be \n", "1521 uid://A001/X15a9/Xc46 uid://A002/Xf53eeb/Xb739 \n", "1522 uid://A001/X15a9/Xc46 uid://A002/Xf53eeb/Xb739 \n", "1523 uid://A001/X15a9/Xc46 uid://A002/Xf53eeb/Xb739 \n", "1524 uid://A001/X15a9/Xc46 uid://A002/Xf53eeb/Xb739 \n", "1525 uid://A001/X15a9/Xc52 uid://A002/Xf49cca/X1f2b4 \n", "1526 uid://A001/X15a9/Xc52 uid://A002/Xf49cca/X1f2b4 \n", "1527 uid://A001/X15a9/Xc52 uid://A002/Xf49cca/X1f2b4 \n", "1528 uid://A001/X15a9/Xc52 uid://A002/Xf49cca/X1f2b4 \n", "\n", " obs_title type scan_intent \\\n", "0 Metallicity of a Submillimeter Galaxy at z=5 S TARGET WVR \n", "1 Metallicity of a Submillimeter Galaxy at z=5 S TARGET WVR \n", "2 A survey of strong absorption lines at z=0.89 ... S TARGET \n", "3 A survey of strong absorption lines at z=0.89 ... S TARGET \n", "4 A survey of strong absorption lines at z=0.89 ... S TARGET \n", "5 A survey of strong absorption lines at z=0.89 ... S TARGET \n", "6 A survey of strong absorption lines at z=0.89 ... S TARGET \n", "7 A survey of strong absorption lines at z=0.89 ... S TARGET \n", "8 A survey of strong absorption lines at z=0.89 ... S TARGET \n", "... ... ... ... \n", "1520 Completing 2.6-mm and 1.3-mm spectral scans to... S TARGET \n", "1521 Completing 2.6-mm and 1.3-mm spectral scans to... S TARGET \n", "1522 Completing 2.6-mm and 1.3-mm spectral scans to... S TARGET \n", "1523 Completing 2.6-mm and 1.3-mm spectral scans to... S TARGET \n", "1524 Completing 2.6-mm and 1.3-mm spectral scans to... S TARGET \n", "1525 Completing 2.6-mm and 1.3-mm spectral scans to... S TARGET \n", "1526 Completing 2.6-mm and 1.3-mm spectral scans to... S TARGET \n", "1527 Completing 2.6-mm and 1.3-mm spectral scans to... S TARGET \n", "1528 Completing 2.6-mm and 1.3-mm spectral scans to... S TARGET \n", "\n", " science_observation spatial_scale_max qa2_passed \\\n", "0 T 11.242385 T \n", "1 T 11.242385 T \n", "2 T 4.087903 T \n", "3 T 16.994304 T \n", "4 T 16.994304 T \n", "5 T 16.994304 T \n", "6 T 16.994304 T \n", "7 T 5.440291 T \n", "8 T 5.440291 T \n", "... ... ... ... \n", "1520 T 71.952420 T \n", "1521 T 967.479293 T \n", "1522 T 967.479293 T \n", "1523 T 967.479293 T \n", "1524 T 967.479293 T \n", "1525 T 903.556393 T \n", "1526 T 903.556393 T \n", "1527 T 903.556393 T \n", "1528 T 903.556393 T \n", "\n", " bib_reference \\\n", "0 2012A&A...542L..34N 2014ApJ...795....5O 2016A&... \n", "1 2012A&A...542L..34N 2014ApJ...795....5O 2016A&... \n", "2 2013A&A...558A.123M 2013PhRvL.111w1101B 2014A&... \n", "3 2013A&A...558A.123M 2013PhRvL.111w1101B 2014A&... \n", "4 2013A&A...558A.123M 2013PhRvL.111w1101B 2014A&... \n", "5 2013A&A...558A.123M 2013PhRvL.111w1101B 2014A&... \n", "6 2013A&A...558A.123M 2013PhRvL.111w1101B 2014A&... \n", "7 2013A&A...558A.123M 2013PhRvL.111w1101B 2014A&... \n", "8 2013A&A...558A.123M 2013PhRvL.111w1101B 2014A&... \n", "... ... \n", "1520 \n", "1521 \n", "1522 \n", "1523 \n", "1524 \n", "1525 \n", "1526 \n", "1527 \n", "1528 \n", "\n", " science_keyword scientific_category \\\n", "0 Galaxy structure & evolution, Galaxy chemistry Galaxy evolution \n", "1 Galaxy structure & evolution, Galaxy chemistry Galaxy evolution \n", "2 Galaxy structure & evolution, Galaxy chemistry Galaxy evolution \n", "3 Galaxy structure & evolution, Galaxy chemistry Galaxy evolution \n", "4 Galaxy structure & evolution, Galaxy chemistry Galaxy evolution \n", "5 Galaxy structure & evolution, Galaxy chemistry Galaxy evolution \n", "6 Galaxy structure & evolution, Galaxy chemistry Galaxy evolution \n", "7 Galaxy structure & evolution, Galaxy chemistry Galaxy evolution \n", "8 Galaxy structure & evolution, Galaxy chemistry Galaxy evolution \n", "... ... ... \n", "1520 Starbursts, star formation, Galaxy chemistry Active galaxies \n", "1521 Starbursts, star formation, Galaxy chemistry Active galaxies \n", "1522 Starbursts, star formation, Galaxy chemistry Active galaxies \n", "1523 Starbursts, star formation, Galaxy chemistry Active galaxies \n", "1524 Starbursts, star formation, Galaxy chemistry Active galaxies \n", "1525 Starbursts, star formation, Galaxy chemistry Active galaxies \n", "1526 Starbursts, star formation, Galaxy chemistry Active galaxies \n", "1527 Starbursts, star formation, Galaxy chemistry Active galaxies \n", "1528 Starbursts, star formation, Galaxy chemistry Active galaxies \n", "\n", " lastModified \n", "0 2023-04-10T18:35:03.734 \n", "1 2023-04-10T18:35:03.734 \n", "2 2023-04-10T18:35:03.734 \n", "3 2023-04-10T18:35:03.734 \n", "4 2023-04-10T18:35:03.734 \n", "5 2023-04-10T18:35:03.734 \n", "6 2023-04-10T18:35:03.734 \n", "7 2023-04-10T18:35:03.734 \n", "8 2023-04-10T18:35:03.734 \n", "... ... \n", "1520 2023-04-10T18:35:03.734 \n", "1521 2023-04-10T18:35:03.734 \n", "1522 2023-04-10T18:35:03.734 \n", "1523 2023-04-10T18:35:03.734 \n", "1524 2023-04-10T18:35:03.734 \n", "1525 2023-04-10T18:35:03.734 \n", "1526 2023-04-10T18:35:03.734 \n", "1527 2023-04-10T18:35:03.734 \n", "1528 2023-04-10T18:35:03.734 \n", "\n", "[1529 rows x 88 columns]" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "alminer.explore(observations, allcols=True, allrows=False)\n", "# you can also set allrows=True to see all rows in the table but this may be slow for very large queries" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "## 2.2 Summarize results \n", "\n", "The `alminer.summary` function will print a summary of the observations. This is done by default when the query is run, but it's a useful function if the results are filtered further, as shown in the next section.\n", "\n", "
\n", "\n", "
\n", "Details of summary function\n", "\n", "* Description: Print a summary of the observations.
\n", "
\n", "* Command:
\n", " * alminer.**summary**(_observations, print_targets=True_)
\n", "
\n", "* Parameters:
\n", " * **observations (pandas.DataFrame)** : This is likely the output of e.g. `conesearch`, `target`, `catalog`, and `keysearch` functions.
\n", " * **print_targets (bool, optional, default: True)** : Print a list of targets with ALMA data (ALMA source names) to the terminal.
\n", "
\n", "***\n", "
" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "### Example 2.2.1: print the summary of a given query result, including a list of unique ALMA target names" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "deletable": false, "editable": false, "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "--------------------------------\n", "Number of projects = 54\n", "Number of observations = 383\n", "Number of unique subbands = 1316\n", "Total number of subbands = 1529\n", "79 target(s) with ALMA data = ['LESS J0332-2756', 'PKS1830-211', 'ngc4418', 'NGC7469', 'NGC_1097', 'Arp220', 'NGC_5253', 'M83', 'NGC253', 'NGC1266', 'vv114', 'Mystery_Object', 'Sgr_A_star', 'SDSS_J080430.99+360718.1', 'NGC_3256', 'ngc_3256', 'NGC_55', 'ngc3256', 'NGC4418', 'NGC_3627_BE', 'circinus', 'IRAS_F16399-0937', 'ngc6240', 'n613', 'ngc613', 'ngc253', 'N159-E', 'N159-W', 'N159-W_south', 'm83', 'IRAS_13120-5453', 'ngc4945', 'HE1029-1831', 'HE0433-1028', 'HE1108-2813', 'HE1353-1917', 'HE0108-4743', 'Y051916.87-693757.5', 'Y054826.21-700850.2', 'Y044854.41-690948.3', 'Y050355.87-672045.1', 'Y052343.48-680033.9', 'Y045406.43-664601.4', 'Y051344.99-693510.6', 'Y052333.40-693712.1', 'Y050953.89-685336.7', 'ST10', 'Y054629.32-693514.2', 'Y045100.16-691934.4', 'Y051912.27-690907.2', 'Y054248.90-694446.3', 'Y045622.61-663656.9', 'Y053952.11-710930.7', 'ST6', 'Y052423.39-693904.7', 'Y052210.08-673459.6', 'Y045358.57-691106.7', 'ngc4526', 'Cloverleaf', 'ngc7465', 'NGC_253', 'IRAS_00091-0738', 'IRAS_22491-1808', 'IRAS_00456-2904', 'IRAS_12112+0305', 'IRAS_03250+1606', 'IRAS_16090-0139', 'IRAS_00188-0856', 'IRAS_01166-0844', 'IRAS_13335-2612', 'IRAS_01569-2939', 'IRAS_22206-2715', 'IRAS_10378+1108', 'NGC4945', 'NGC1068', 'GDS-41053', 'GDS-48417', 'IRAS_F05189-2524', 'ngc1068']\n", "--------------------------------\n" ] } ], "source": [ "alminer.summary(observations)" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "### Example 2.2.2: print the summary of a given query result WITHOUT the list of target names\n", "\n", "For big tables, it is useful to avoid printing the list of target names in the summary. This can be done by setting *print_targets=False*." ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "deletable": false, "editable": false, "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "--------------------------------\n", "Number of projects = 54\n", "Number of observations = 383\n", "Number of unique subbands = 1316\n", "Total number of subbands = 1529\n", "Total number of targets with ALMA data = 79\n", "--------------------------------\n" ] } ], "source": [ "alminer.summary(observations, print_targets=False)" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "## 2.3 Filter results \n", "\n", "The search results can be further narrowed down by using [PANDAS DataFrame](https://pandas.pydata.org/pandas-docs/stable/reference/frame.html) functions. See also this [introduction to data structures](https://pandas.pydata.org/pandas-docs/stable/user_guide/dsintro.html#dataframe). For example, you can use `your_query.columns` to get a list of all columns in the DataFrame. \n", "\n", "To get the description and units of any column use the function `alminer.get_info('column_name')` where *column_name* is the name of the column.
\n", "
\n", "
\n", "Details of get_info function\n", "\n", "* Description: Print the description and units of a given column in the query results DataFrame.
\n", "
\n", "* Command:
\n", " * alminer.**get_info**(_column_)
\n", "
\n", "* Parameters:
\n", " * **column (str)** : A column in the pandas.DataFrame query table.
\n", "***\n", "
\n" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "### Example 2.3.1: simple selection - observations with angular resolutions < 0.5\"\n", "\n", "Let's first check what the description and units of *ang_res_arcsec* column are:" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "deletable": false, "editable": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "--------------------------------\n", "Column: ang_res_arcsec\n", "--------------------------------\n", "Description: typical spatial resolution\n", "Units: arcsec\n", "--------------------------------\n" ] } ], "source": [ "alminer.get_info('ang_res_arcsec')" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "Now we can do the some further filtering, say to only keep observations with angular resolutions < 0.5\":" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "deletable": false, "editable": false }, "outputs": [], "source": [ "selected = observations[observations['ang_res_arcsec'] < 0.5]" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "and print the summary:" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "deletable": false, "editable": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "--------------------------------\n", "Number of projects = 27\n", "Number of observations = 135\n", "Number of unique subbands = 421\n", "Total number of subbands = 535\n", "Total number of targets with ALMA data = 54\n", "--------------------------------\n" ] } ], "source": [ "alminer.summary(selected, print_targets=False)" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "### Example 2.3.2: multiple selections - observations with angular resolution < 0.5\" & velocity resolution < 1 km/s" ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "deletable": false, "editable": false, "scrolled": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "--------------------------------\n", "Number of projects = 10\n", "Number of observations = 51\n", "Number of unique subbands = 82\n", "Total number of subbands = 124\n", "Total number of targets with ALMA data = 27\n", "--------------------------------\n" ] } ], "source": [ "selected = observations[(observations['ang_res_arcsec'] < 0.5) & \n", " (observations['vel_res_kms'] < 1.0)]\n", "alminer.summary(selected, print_targets=False)" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "### Example 2.3.3: observations containing a given frequency" ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "deletable": false, "editable": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "--------------------------------\n", "Number of projects = 7\n", "Number of observations = 8\n", "Number of unique subbands = 8\n", "Total number of subbands = 8\n", "Total number of targets with ALMA data = 6\n", "--------------------------------\n" ] } ], "source": [ "freq = 220.5 \n", "selected = observations[(observations[\"min_freq_GHz\"] < freq) & \n", " (observations[\"max_freq_GHz\"] > freq)]\n", "alminer.summary(selected, print_targets=False)" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "## 2.4 Line coverage \n", "\n", "An alternative to the last example in the previous section is the `alminer.line_coverage` function which determines how many targets were observed at a given frequency with the option to include a redshift for the line of interest to be taken into account. Some notes:\n", " * Line frequencies should be given in GHz \n", " * Redshift is by default assumed to be 0\n", " * The *line_name* keyword is the user's defined name for the frquency provided\n", "\n", "
\n", "\n", "
\n", "Details of line_coverage function\n", "\n", "* Description: Determine how many observations were observed at a given frequency (+redshift).
\n", "
\n", "* Command:
\n", " * alminer.**line_coverage**(_observations, line_freq, z=0., line_name='', print_summary=True, print_targets=True_)
\n", "
\n", "* Parameters:
\n", " * **observations (pandas.DataFrame)** : This is likely the output of e.g. `conesearch`, `target`, `catalog`, and `keysearch` functions.
\n", " * **line_freq (float64)** : Frequency of the line of interest in GHz.
\n", " * **z (float64, optional, default: 0)** : Redshift by which the frequency given in 'line_freq' parameter should be shifted.
\n", " * **line_name (str, optional, default: '')** : Name of the line specified in 'line_freq'.
\n", " * **print_summary (bool, optional, default: True)** : Print a summary of the observations to the terminal.
\n", " * **print_targets (bool, optional, default: True)** : Print a list of targets with ALMA data (ALMA source names) to the terminal.
\n", "
\n", "* Returns:
\n", " * **pandas.DataFrame** containing all observations of line of interest.\n", "***\n", "
" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "### Example 2.4.1: search whether a given frequency is covered in the observations\n" ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "deletable": false, "editable": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "--------------------------------\n", "Summary of 'My favourite line' observations at 220.5 GHz\n", "--------------------------------\n", "Number of projects = 7\n", "Number of observations = 8\n", "Number of unique subbands = 8\n", "Total number of subbands = 8\n", "6 target(s) with ALMA data = ['Arp220', 'ngc_3256', 'IRAS_13120-5453', 'ngc253', 'NGC_253', 'ngc1068']\n", "--------------------------------\n" ] } ], "source": [ "myline_obs = alminer.line_coverage(observations, \n", " line_freq=220.5, \n", " z=0, \n", " line_name=\"My favourite line\", \n", " print_targets=True)" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "### Example 2.4.2: search whether a given frequency is observed for a target at a given redshift " ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "deletable": false, "editable": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "--------------------------------\n", "Summary of 'My favourite line' observations at 400.0 GHz (266.667 GHz at z=0.5)\n", "--------------------------------\n", "Number of projects = 8\n", "Number of observations = 10\n", "Number of unique subbands = 11\n", "Total number of subbands = 11\n", "6 target(s) with ALMA data = ['ngc4418', 'Arp220', 'ngc_3256', 'circinus', 'ngc4945', 'ngc253']\n", "--------------------------------\n" ] } ], "source": [ "myline_obs = alminer.line_coverage(observations, \n", " line_freq=400.0, \n", " z=0.5, \n", " line_name=\"My favourite line\", \n", " print_targets=True)" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "## 2.5 Coverage of CO, 13CO, and C18O lines \n", "\n", "The `alminer.CO_lines` function determines how many CO, 13CO, and C18O lines were observed in the provided DataFrame and returns a DataFrame containing all observations of these transitions.\n", "\n", "
\n", "\n", "
\n", "Details of CO_lines function\n", "\n", "* Description: Determine how many CO, 13CO, and C18O lines were observed in the provided query DataFrame.
\n", "
\n", "* Command:
\n", " * alminer.**CO_lines**(_observations, z=0., print_summary=True, print_targets=True_)
\n", "
\n", "* Parameters:
\n", " * **observations (pandas.DataFrame)** : This is likely the output of e.g. `conesearch`, `target`, `catalog`, and `keysearch` functions.
\n", " * **z (float64, optional, default: 0)** : Redshift by which the frequency given in 'line_freq' parameter should be shifted.
\n", " * **print_summary (bool, optional, default: True)** : Print a summary of the observations to the terminal.
\n", " * **print_targets (bool, optional, default: True)** : Print a list of targets with ALMA data (ALMA source names) to the terminal.
\n", "
\n", "* Returns:
\n", " * **pandas.DataFrame** containing all observations of CO, 13CO, and C18O\n", "***\n", "
" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "### Example 2.5.1: search whether any CO, 13CO, and C18O lines were observed in the query results" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "deletable": false, "editable": false, "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "--------------------------------\n", "Summary of 'CO (1-0)' observations at 115.271 GHz\n", "--------------------------------\n", "Number of projects = 4\n", "Number of observations = 5\n", "Number of unique subbands = 4\n", "Total number of subbands = 5\n", "Total number of targets with ALMA data = 3\n", "--------------------------------\n", "--------------------------------\n", "Summary of 'CO (2-1)' observations at 230.538 GHz\n", "--------------------------------\n", "Number of projects = 11\n", "Number of observations = 14\n", "Number of unique subbands = 15\n", "Total number of subbands = 15\n", "Total number of targets with ALMA data = 9\n", "--------------------------------\n", "--------------------------------\n", "Summary of 'CO (3-2)' observations at 345.796 GHz\n", "--------------------------------\n", "Number of projects = 3\n", "Number of observations = 5\n", "Number of unique subbands = 5\n", "Total number of subbands = 5\n", "Total number of targets with ALMA data = 4\n", "--------------------------------\n", "--------------------------------\n", "Summary of 'CO (4-3)' observations at 461.041 GHz\n", "--------------------------------\n", "No observations found.\n", "--------------------------------\n", "--------------------------------\n", "Summary of 'CO (5-4)' observations at 576.268 GHz\n", "--------------------------------\n", "No observations found.\n", "--------------------------------\n", "--------------------------------\n", "Summary of 'CO (6-5)' observations at 691.473 GHz\n", "--------------------------------\n", "No observations found.\n", "--------------------------------\n", "--------------------------------\n", "Summary of 'CO (7-6)' observations at 806.652 GHz\n", "--------------------------------\n", "No observations found.\n", "--------------------------------\n", "--------------------------------\n", "Summary of 'CO (8-7)' observations at 921.8 GHz\n", "--------------------------------\n", "No observations found.\n", "--------------------------------\n", "--------------------------------\n", "Summary of '13CO (1-0)' observations at 110.201 GHz\n", "--------------------------------\n", "Number of projects = 19\n", "Number of observations = 24\n", "Number of unique subbands = 24\n", "Total number of subbands = 26\n", "Total number of targets with ALMA data = 18\n", "--------------------------------\n", "--------------------------------\n", "Summary of '13CO (2-1)' observations at 220.399 GHz\n", "--------------------------------\n", "Number of projects = 7\n", "Number of observations = 8\n", "Number of unique subbands = 8\n", "Total number of subbands = 8\n", "Total number of targets with ALMA data = 6\n", "--------------------------------\n", "--------------------------------\n", "Summary of '13CO (3-2)' observations at 330.588 GHz\n", "--------------------------------\n", "Number of projects = 3\n", "Number of observations = 7\n", "Number of unique subbands = 6\n", "Total number of subbands = 7\n", "Total number of targets with ALMA data = 6\n", "--------------------------------\n", "--------------------------------\n", "Summary of '13CO (4-3)' observations at 440.765 GHz\n", "--------------------------------\n", "Number of projects = 1\n", "Number of observations = 1\n", "Number of unique subbands = 1\n", "Total number of subbands = 1\n", "Total number of targets with ALMA data = 1\n", "--------------------------------\n", "--------------------------------\n", "Summary of '13CO (5-4)' observations at 550.926 GHz\n", "--------------------------------\n", "No observations found.\n", "--------------------------------\n", "--------------------------------\n", "Summary of '13CO (6-5)' observations at 661.067 GHz\n", "--------------------------------\n", "No observations found.\n", "--------------------------------\n", "--------------------------------\n", "Summary of '13CO (7-6)' observations at 771.184 GHz\n", "--------------------------------\n", "No observations found.\n", "--------------------------------\n", "--------------------------------\n", "Summary of '13CO (8-7)' observations at 881.273 GHz\n", "--------------------------------\n", "No observations found.\n", "--------------------------------\n", "--------------------------------\n", "Summary of 'C18O (1-0)' observations at 109.782 GHz\n", "--------------------------------\n", "Number of projects = 20\n", "Number of observations = 25\n", "Number of unique subbands = 26\n", "Total number of subbands = 28\n", "Total number of targets with ALMA data = 19\n", "--------------------------------\n", "--------------------------------\n", "Summary of 'C18O (2-1)' observations at 219.56 GHz\n", "--------------------------------\n", "Number of projects = 8\n", "Number of observations = 10\n", "Number of unique subbands = 13\n", "Total number of subbands = 13\n", "Total number of targets with ALMA data = 7\n", "--------------------------------\n", "--------------------------------\n", "Summary of 'C18O (3-2)' observations at 329.331 GHz\n", "--------------------------------\n", "Number of projects = 3\n", "Number of observations = 4\n", "Number of unique subbands = 4\n", "Total number of subbands = 4\n", "Total number of targets with ALMA data = 3\n", "--------------------------------\n", "--------------------------------\n", "Summary of 'C18O (4-3)' observations at 439.089 GHz\n", "--------------------------------\n", "No observations found.\n", "--------------------------------\n", "--------------------------------\n", "Summary of 'C18O (5-4)' observations at 548.831 GHz\n", "--------------------------------\n", "No observations found.\n", "--------------------------------\n", "--------------------------------\n", "Summary of 'C18O (6-5)' observations at 658.553 GHz\n", "--------------------------------\n", "No observations found.\n", "--------------------------------\n", "--------------------------------\n", "Summary of 'C18O (7-6)' observations at 768.252 GHz\n", "--------------------------------\n", "No observations found.\n", "--------------------------------\n", "--------------------------------\n", "Summary of 'C18O (8-7)' observations at 877.922 GHz\n", "--------------------------------\n", "No observations found.\n", "--------------------------------\n" ] } ], "source": [ "CO_obs = alminer.CO_lines(observations, print_targets=False)" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "### Example 2.5.2: search whether any redshifted CO, 13CO, and C18O lines were observed in the query results" ] }, { "cell_type": "code", "execution_count": 26, "metadata": { "deletable": false, "editable": false, "scrolled": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "--------------------------------\n", "Summary of 'CO (1-0)' observations at 115.2712018 GHz (57.636 GHz at z=1)\n", "--------------------------------\n", "No observations found.\n", "--------------------------------\n", "--------------------------------\n", "Summary of 'CO (2-1)' observations at 230.538 GHz (115.269 GHz at z=1)\n", "--------------------------------\n", "Number of projects = 4\n", "Number of observations = 5\n", "Number of unique subbands = 4\n", "Total number of subbands = 5\n", "Total number of targets with ALMA data = 3\n", "--------------------------------\n", "--------------------------------\n", "Summary of 'CO (3-2)' observations at 345.7959899 GHz (172.898 GHz at z=1)\n", "--------------------------------\n", "Number of projects = 2\n", "Number of observations = 3\n", "Number of unique subbands = 3\n", "Total number of subbands = 3\n", "Total number of targets with ALMA data = 2\n", "--------------------------------\n", "--------------------------------\n", "Summary of 'CO (4-3)' observations at 461.0407682 GHz (230.52 GHz at z=1)\n", "--------------------------------\n", "Number of projects = 11\n", "Number of observations = 14\n", "Number of unique subbands = 15\n", "Total number of subbands = 15\n", "Total number of targets with ALMA data = 9\n", "--------------------------------\n", "--------------------------------\n", "Summary of 'CO (5-4)' observations at 576.2679305 GHz (288.134 GHz at z=1)\n", "--------------------------------\n", "Number of projects = 3\n", "Number of observations = 6\n", "Number of unique subbands = 6\n", "Total number of subbands = 6\n", "Total number of targets with ALMA data = 3\n", "--------------------------------\n", "--------------------------------\n", "Summary of 'CO (6-5)' observations at 691.4730763 GHz (345.737 GHz at z=1)\n", "--------------------------------\n", "Number of projects = 3\n", "Number of observations = 5\n", "Number of unique subbands = 5\n", "Total number of subbands = 5\n", "Total number of targets with ALMA data = 4\n", "--------------------------------\n", "--------------------------------\n", "Summary of 'CO (7-6)' observations at 806.651806 GHz (403.326 GHz at z=1)\n", "--------------------------------\n", "No observations found.\n", "--------------------------------\n", "--------------------------------\n", "Summary of 'CO (8-7)' observations at 921.7997 GHz (460.9 GHz at z=1)\n", "--------------------------------\n", "No observations found.\n", "--------------------------------\n", "--------------------------------\n", "Summary of '13CO (1-0)' observations at 110.2013218 GHz (55.101 GHz at z=1)\n", "--------------------------------\n", "No observations found.\n", "--------------------------------\n", "--------------------------------\n", "Summary of '13CO (2-1)' observations at 220.3986195 GHz (110.199 GHz at z=1)\n", "--------------------------------\n", "Number of projects = 19\n", "Number of observations = 24\n", "Number of unique subbands = 24\n", "Total number of subbands = 26\n", "Total number of targets with ALMA data = 18\n", "--------------------------------\n", "--------------------------------\n", "Summary of '13CO (3-2)' observations at 330.5878671 GHz (165.294 GHz at z=1)\n", "--------------------------------\n", "Number of projects = 3\n", "Number of observations = 4\n", "Number of unique subbands = 4\n", "Total number of subbands = 4\n", "Total number of targets with ALMA data = 3\n", "--------------------------------\n", "--------------------------------\n", "Summary of '13CO (4-3)' observations at 440.7651735 GHz (220.383 GHz at z=1)\n", "--------------------------------\n", "Number of projects = 7\n", "Number of observations = 8\n", "Number of unique subbands = 8\n", "Total number of subbands = 8\n", "Total number of targets with ALMA data = 6\n", "--------------------------------\n", "--------------------------------\n", "Summary of '13CO (5-4)' observations at 550.9262851 GHz (275.463 GHz at z=1)\n", "--------------------------------\n", "Number of projects = 3\n", "Number of observations = 4\n", "Number of unique subbands = 4\n", "Total number of subbands = 4\n", "Total number of targets with ALMA data = 3\n", "--------------------------------\n", "--------------------------------\n", "Summary of '13CO (6-5)' observations at 661.0672766 GHz (330.534 GHz at z=1)\n", "--------------------------------\n", "Number of projects = 3\n", "Number of observations = 7\n", "Number of unique subbands = 6\n", "Total number of subbands = 7\n", "Total number of targets with ALMA data = 6\n", "--------------------------------\n", "--------------------------------\n", "Summary of '13CO (7-6)' observations at 771.184125 GHz (385.592 GHz at z=1)\n", "--------------------------------\n", "No observations found.\n", "--------------------------------\n", "--------------------------------\n", "Summary of '13CO (8-7)' observations at 881.272808 GHz (440.636 GHz at z=1)\n", "--------------------------------\n", "Number of projects = 1\n", "Number of observations = 1\n", "Number of unique subbands = 1\n", "Total number of subbands = 1\n", "Total number of targets with ALMA data = 1\n", "--------------------------------\n", "--------------------------------\n", "Summary of 'C18O (1-0)' observations at 109.7821734 GHz (54.891 GHz at z=1)\n", "--------------------------------\n", "No observations found.\n", "--------------------------------\n", "--------------------------------\n", "Summary of 'C18O (2-1)' observations at 219.5603541 GHz (109.78 GHz at z=1)\n", "--------------------------------\n", "Number of projects = 20\n", "Number of observations = 25\n", "Number of unique subbands = 26\n", "Total number of subbands = 28\n", "Total number of targets with ALMA data = 19\n", "--------------------------------\n", "--------------------------------\n", "Summary of 'C18O (3-2)' observations at 329.3305525 GHz (164.665 GHz at z=1)\n", "--------------------------------\n", "Number of projects = 2\n", "Number of observations = 3\n", "Number of unique subbands = 3\n", "Total number of subbands = 3\n", "Total number of targets with ALMA data = 2\n", "--------------------------------\n", "--------------------------------\n", "Summary of 'C18O (4-3)' observations at 439.0887658 GHz (219.544 GHz at z=1)\n", "--------------------------------\n", "Number of projects = 8\n", "Number of observations = 10\n", "Number of unique subbands = 13\n", "Total number of subbands = 13\n", "Total number of targets with ALMA data = 7\n", "--------------------------------\n", "--------------------------------\n", "Summary of 'C18O (5-4)' observations at 548.8310055 GHz (274.416 GHz at z=1)\n", "--------------------------------\n", "Number of projects = 2\n", "Number of observations = 3\n", "Number of unique subbands = 3\n", "Total number of subbands = 3\n", "Total number of targets with ALMA data = 2\n", "--------------------------------\n", "--------------------------------\n", "Summary of 'C18O (6-5)' observations at 658.5532782 GHz (329.277 GHz at z=1)\n", "--------------------------------\n", "Number of projects = 3\n", "Number of observations = 4\n", "Number of unique subbands = 4\n", "Total number of subbands = 4\n", "Total number of targets with ALMA data = 3\n", "--------------------------------\n", "--------------------------------\n", "Summary of 'C18O (7-6)' observations at 768.2515933 GHz (384.126 GHz at z=1)\n", "--------------------------------\n", "No observations found.\n", "--------------------------------\n", "--------------------------------\n", "Summary of 'C18O (8-7)' observations at 877.9219553 GHz (438.961 GHz at z=1)\n", "--------------------------------\n", "No observations found.\n", "--------------------------------\n" ] } ], "source": [ "CO_obs = alminer.CO_lines(observations, z=1, print_targets=False)" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "***\n", "\n", "\n", "# 3. Plot results \n", "\n", "This section introduces all the plotting functions that help visualise the queried observations:
\n", "\n", "* [3.1 - Plot an overview of the observations (*alminer.plot_overview*)](#plot_overview)
\n", "* [3.2 - Plot an overview of a given line in the observations (*alminer.plot_line_overview*)](#plot_line_overview)
\n", "* [3.3 - Plot observed frequencies in each band (*alminer.plot_bands*)](#plot_bands)
\n", "* [3.4 - Plot observations in each band (*alminer.plot_observations*)](#plot_observations)
\n", "* [3.5 - Sky distribution (*alminer.plot_sky*)](#plot_sky)
\n", "\n", "#### General notes about the plotting functions:\n", " \n", "- Most of the plotting functions have the option to mark frequencies of CO, 13CO, and C18O lines by toggling *mark_CO=True*. A redshift can be provided by setting the *z* parameter that will shift the marked frequencies accordingly. \n", "- Most of the plotting functions have the option to mark a list of frequencies. A redshift can be provided by setting the *z* parameter that will shift the marked frequencies accordingly. \n", "- Plots can be saved in PDF format by setting the *savefig* parameter to the desired filename. Figures are saved in a subdirectory called 'reports' within the current working directory. If the directory doesn't exist, it will be created. \n", "- To avoid displaying the plot (for example to create and save plots in a loop), set *showfig=False*. \n", " " ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "## 3.1 Plot an overview of the observations \n", "\n", "The `alminer.plot_overview` function plots a summary of the observed frequencies, angular resolution, largest angular scales (LAS), and frequency and velocity resolutions.\n", "\n", "Note: The histogram of observed frequencies displays the distribution of central frequencies and also depends on the choice of binning. To get an overview plot for a specific frequency, use `alminer.plot_observations` and `alminer.plot_line_overview` (see examples below).\n", "\n", "
\n", "\n", "
\n", "Details of plot_overview function\n", "\n", "* Description: Create overview plots of observed frequencies, angular resolution, LAS, frequency and velocity resolutions.
\n", "
\n", "* Command:
\n", " * alminer.**plot_overview**(_observations, mark_freq='', z=0., mark_CO=False, showfig=True, savefig=None_)
\n", "
\n", "* Parameters:
\n", " * **observations (pandas.DataFrame)** : This is likely the output of e.g. `conesearch`, `target`, `catalog`, and `keysearch` functions.
\n", " * **mark_freq (list of float64, optional, default: '')** : A list of frequencies to mark on the plot with dashed lines.
\n", " * **z (float64, optional, default: 0)** : Redshift by which the frequencies given in 'mark_freq' and 'mark_CO' parameters should be shifted. Currently only one redshift can be given for all targets.
\n", " * **mark_CO (bool, optional, default: False)** : mark CO, 13CO, and C18O frequencies on the plot with dashed lines.
\n", " * **showfig (bool, optional, default: True)** : Display the plot (*showfig=True*) or not (*showfig=False*).
\n", " * **savefig (str, optional, default: None)** : Filename (without an extension) for the plot to be saved as. Default file extension is PDF. Figure is saved in a subdirectory called 'reports' within the current working directory. If the directory doesn't exist, it will be created. Default quality is dpi=300.
\n", "
\n", "***\n", "
" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "### Example 3.1.1: plot an overview of the observations and save the figure" ] }, { "cell_type": "code", "execution_count": 47, "metadata": { "deletable": false, "editable": false }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "alminer.plot_overview(observations, savefig='alma_galaxy_chemistry')" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "## 3.2 Plot an overview of a given line in the observations \n", "\n", "The `alminer.plot_line_overview` function creates overview plots of observed frequencies, angular resolution, LAS, frequency and velocity resolutions for the input DataFrame, and highlights the observations of a give frequency (redshift if the *z* parameter is set) specified by the user. \n", "\n", "
\n", "\n", "
\n", "Details of plot_line_overview function\n", "\n", "* Description: Create overview plots of observed frequencies, angular resolution, LAS, frequency and velocity resolutions, highlighting the observations of a give (redshifted) frequency with hatches on the bar plots.
\n", "
\n", "* Command:
\n", " * alminer.**plot_line_overview**(_observations, line_freq, z=0., line_name='', showfig=True, savefig=None_)
\n", "
\n", "* Parameters:
\n", " * **observations (pandas.DataFrame)** : This is likely the output of e.g. `conesearch`, `target`, `catalog`, and `keysearch` functions.
\n", " * **line_freq (float64)** : Frequency of the line of interest in GHz.
\n", " * **z (float64, optional, default: 0)** : Redshift by which the frequency given in 'line_freq' parameter should be shifted.
\n", " * **line_name (str, optional, default: '')** : Name of the line specified in 'line_freq'.
\n", " * **showfig (bool, optional, default: True)** : Display the plot (*showfig=True*) or not (*showfig=False*).
\n", " * **savefig (str, optional, default: None)** : Filename (without an extension) for the plot to be saved as. Default file extension is PDF. Figure is saved in a subdirectory called 'reports' within the current working directory. If the directory doesn't exist, it will be created. Default quality is dpi=300.
\n", "
\n", "*** \n", "
" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "### Example 3.2.1: plot an overview of the observations and highlight observations at a particular frequency" ] }, { "cell_type": "code", "execution_count": 28, "metadata": { "deletable": false, "editable": false }, "outputs": [ { "data": { "image/png": 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n+reRI0eqXLlyDu+GhvTl5+enQoUKKSQkRHny5FGuXLkUFRWlGzduKCwszKk7nCUlJWnAgAEqWbKkmjdv7rFak5KS1LFjRx07dsx0m5CQEBUuXFiFCxeWn5+fIiIidPz4cUVHR3usLiucO3dOjzzyiMM6CxUqpEKFCqlgwYJKTEzU5cuXdfLkSafvgDhp0iQNHTrU6Q8jFC1aVPnz51f+/PmVmJioK1euKCwsLNUPH1y7dk2tWrXS1q1bdd999zk11z+Fh4frySefdPourXnz5lWpUqUUFBSkHDlyKDo6WpGRkbp586bCw8M9dofIq1evqmXLlk7fSS9fvnyqUKGCgoODFRcXp7CwMJ05cybVuxTGxsaqW7duWrhwoR555BErSkcWtWjRIvXs2dOpY97X11elS5dW8eLFFRAQoMjISJ08eVLXr19Pdd99+/apVatWWr9+vfLly2dF6TYyy3smAAAAAACAjI41gJSGDBmin3/+2aqS79qxY4eeeuopjzcxcZ0frmLNnTV3eBavt55Xo0YNh/EPP/xQPXr0UJEiRdKpIvfs27dPrVu31pUrV5zep3DhwndfL5OTkxUREaGIiAhduHBBSUlJHqzWvty5cyt//vwKCQlRSEiIpL+bUK9fv65z5845lWP79u3q3r27li1bZvfJrxnFyZMn1bJlS509e9ap7YODg1WkSBHlz59fOXLk0LVr13Tp0iVdunQp1X1HjRqlwMBAjRgxwt2yAQCZHI17AAAASDdTpkwxjfXt29fhvo4WEVavXq2zZ8+qVKlSbtXnLMMw1LdvX4WGhtrEOnXqpCeffFJt2rRR/vz5beLHjh3T/PnzNW7cON28edN0js8//1wDBgxQ5cqVXa4zMTFRnTt31vnz5x1ulytXLj355JN65JFHVKtWLRUrVkzZs2fXrVu3FBoaqs2bN+vnn3/Wpk2bUuxnGIYGDRqkCRMmuFwj3FO4cGE9/vjjql+/vmrVqqXq1asrR44cdrdNTk7W4cOHtWnTJk2ePFk7duwwzZuQkKCnn35aBw8eVHBwsEdqHzt2rLZs2WIzXq5cOQ0YMECPPvqoatWqZRNPTk7Wtm3bNGPGDAUGBnqkNncYhqGBAwfq2rVrNrEmTZroqaee0qOPPqoSJUrYxGNjY/XHH39owoQJ8vHxMZ1j0aJFqS7m+/v7q1u3bnriiSfUtGlTFS5c2GabhIQEbd26VYsWLdJ3331nujhz/fp1dezYUTt27FBQUJDpnPa8+eabdn8WdwQEBKhnz556/PHH1bx5c4eNQ3FxcTp8+LAOHDigTZs2aenSpZYskCYlJal79+6pNu0VLFhQw4YNU/fu3VW1alWb+PXr17Vs2TJ9/fXXDu9omZCQoJ49e2r79u1unePvZc2bN7dZCFm/fr1iY2Nttg0MDHRpQbRmzZou1+eugwcP6qmnnkr1AywNGjTQc889p0ceeUR58+a1iR86dEg//fSTJkyY4PDv8K+//lKvXr20fPlyyxfRMst7JgAAAAAAgIyINQDzNYAvv/zS4brjHc2aNVPXrl3VuHFjlStXTsHBwYqNjdWFCxe0b98+LVu2TPPmzbO5Pr5o0SJ9++23TnynruE6v2vX+fPly6e2bdumGLt+/brp8V6+fHlVqFDB6fx3FC9ePM37pCfW3Flzh7V4vU3/NfeGDRsqZ86cpq9bV65cUdu2bbV06VKVLFkynatLm3Pnzql9+/apNu35+/vriSeeULdu3dS8eXPTpw5GR0drz5492rlzp5YuXaq1a9da3sjn6+urxo0bq02bNqpVq5Zq1arl8NwfERGhXbt2acGCBZo9e7bDp+qtWLFCX3zxhV566SVLa7bK9evX1a5du1Sb9mrXrq2BAweqWbNmql69ut011JMnT2rlypX66quvdOTIEdNcr7/+umrUqGHzHgYAcI8xAAAAgHSwa9cuQ5LdL39/f+Pq1aup5mjSpIlpjnfffdfyms3mypYtm83YAw88YPz5559O57506ZLRokUL0zkkGf369XOr/lGjRjnML8kYOnSoUz97wzCMTZs2GTVq1LDJUbJkSdP8o0ePTnPdU6dONc03derUNOdLTfPmzU3nc5VZvubNm7ucs1WrVoYkI3fu3MYLL7xgbNy40UhKSnI536ZNm4wqVao4PD5GjBjhcn7DMIy+ffumegze+cqZM6fx4YcfGrGxsW7NmV5Kly7t9PdWqlQp4+eff7Zk3iNHjhhBQUEO5xs4cKBx/vz5NOUNDw83nnrqKYd5hw8fnqacFy9etHu+vPP18MMPG2FhYWnK+W+7du0yXnzxRSN37txGSEiISzk++OCDVH+HAwcONG7cuOF0zmnTpqX6e6pRo4YRHx/vUs1r16619Lx76tQp03x9+/Z1qUZHRo8ebTrf2rVrXcpp9jdZunRpS2v/J0+8XsXFxRlVq1Z1eOyEhIQYs2bNcjrn9evXjaeffjrV4/yjjz5yqWbDyPzvmQAAAAAAQNbl6Dq1O9fsrcYagPMOHjxoBAYGOpyvVq1axpYtW5zKd+XKFWPw4ME2OYKDg42QkBDLrztynT8ld6/zW329PKNjzT0l1tzNseZuH6+3Gcejjz6a6veTO3duY9y4cUZERIS3y7UrPj7eqFOnTqrfR8+ePY0zZ864NMelS5eMr7/+2qhQoYIhyXjhhRfStP/GjRvv1tGoUSNj0qRJxuXLl12qxTAMIyoqynj11VcNPz8/0+83V65cxqVLl1yewzA8c05JTk42Wrdu7fB3VbVqVWP16tVpypuYmGh8//33Rs6cOU3zFitWLE2fNwAAZD0Z91m0AAAAyFIc3fmvQ4cOdu+U92+O7hA4bdo0h3eltNK/n4DzxBNPaMOGDWrQoIHTOQoVKqRly5apUaNGptvMmTPH4R0CHTl58qQ+/vhj07i/v79++uknffvtt0797CWpcePG2r59u7p06ZJi/Ny5cy7ViLQpWrSoxo4dq7Nnz2r8+PFq0qSJW09Gaty4sfbs2aOuXbuabjNhwgRdvXrV5TmcFRwcrBUrVuiNN95QQECAx+dLT1WqVNGff/7p8OfsrOTkZA0YMEBRUVF247lz59aCBQv0ww8/pPlusEWKFNGPP/6ojz76yHSbb7/9Vrt373Y658KFC02fGNaqVSutWLFCxYoVS1Od/1a3bl19/vnnOn/+vD755JM073/y5El98MEHDrcZP368fvjhB4WEhDidt2/fvtqyZYsKFSpkus2BAwf02WefOZ0T94b//e9/OnTokGm8WLFi2rp1q3r16uV0zrx582rGjBkaO3asw+3effddnTp1yum8zsgM75kAAAAAAAAyAtYAnPef//xHsbGxpvEnn3xSf/75pxo2bOhUvgIFCmjSpEmaNWuWsmXLdnf81q1bll9z4jq/LXev899rWHNPiTV3pBWvtxnHa6+9luo2kZGReu2111SiRAn16dNHCxYs0K1bt9KhOue8++672rNnj2k8R44cmjNnjmbPnu3y00wLFSqkZ599VkeOHNHs2bPT/ARRX19fPfLII9qwYYM2b96swYMHmz7tzxm5cuXSuHHjtGbNGuXKlcvuNrdv39ann37q8hyeMnHiRK1atco0PmjQIO3cuVMtW7ZMU14/Pz8NGjRImzZtMn1fdOHCBY0ePTpNeQEAWQuNewAAAPC4uLg4zZ492zTuaHHgn7p166bAwEC7sVOnTmndunWulOeWRx99VPPnzzety5GcOXNq6tSpyp49u914XFycFi1a5FJdo0aNUnx8vGl8+vTp6t69e5rzBgYGau7cuWrbtq1LdcF1M2fO1MiRI9PUPJSagIAAzZ49W23atLEbj46O1syZMy2bz55s2bJpxYoVatq0qUfn8YYyZcpo3bp1Klq0qCX5pk6dqi1bttiNBQQEaNGiRercubNbc7z++uumiySGYWjMmDFO59q0aZPdcR8fH02aNEl+fn6ulGhXcHCwBg8enOb9xowZ4/ADHqNHj9YLL7zgUk01atTQsmXLlCNHDtNtxo4dS7MR7oqIiHD4oZqgoCCtWLFCVapUcSn/yJEj9eqrr5rGY2Ji9N5777mU2xkZ9T0TAAAAAABARsAagHN+//13rV692jTeoUMHzZ4926VrUL169XLYFGUFrvObc/U6/72ENXf7WHNHWvB6m3E0bdpUDz/8sFPb3r59WzNnzlTXrl2VN29e1alTR8OGDdO0adN08OBBJScne7haW6GhoRo3bpxpPDAwUEuXLlWPHj0smc/Pz089e/bU0KFD07Rfo0aNtHTpUsuPjWbNmmnx4sWm7wWmTJmihIQES+d0x/Xr1zVy5EjT+JAhQ/T99987XNtPTZ06dbRkyRLT17KJEycqLCzM5fwAgMyNxj0AAAB43MKFCxUREWE3lj9/fj3yyCNO5QkJCVGnTp1M455eTPu3YsWKadq0aW7dge2+++7ToEGDTON//PFHmnOeOXNG8+bNM433799fPXv2THPeO/z8/PTjjz8qb968LudAxuHv76+JEyeaXjx0tABohddee83hXTAzs4kTJzp84lpaxMfHO2yomThxolq0aGHJXB9++KHp72Tp0qUKDQ11Ks/x48ftjt9///0qV66cy/VZ5fTp05ozZ45p/IEHHnD7rnf333+/ww9B3Lx5U998841bcyDr+Prrrx3eJXTs2LGqUaOGW3OkluPHH3/U2bNn3ZrDnoz6ngkAAAAAACCry2prAI6eyJY/f37NnDnTrWayp59+Wk8//bTL+zvCdX64izV3c6y5w9uy2uttepk8ebIKFy6cpn2SkpK0d+9efffdd+rfv7+qV6+ukJAQNWvWTK+88ormzZvnkbWufxszZozDxrRPPvkkzU9uy2xatmxp2nR/9epV/f777+lckbmPP/7Y9Ia6rVq1smzNvm7duvrss8/sxmJjYzVp0iRL5gEAZD407gEAAMDjHF3c7969u+nd7+zp06ePaWzBggWKjIxMU23uGDdunPLnz+92HkcLgFu3bk1zvilTpigpKcluLHfu3Bo7dmyac/5bgQIFPPpUHqSvMmXKaMCAAXZju3fv1vXr1z027zvvvOOR3N7Wo0cP07squsLRAkOzZs2cvouqM/z8/PT+++/bjRmGoWnTpjmVx2zxuGzZsq6WZqmpU6eanit9fX31zTffyMfHx+15XnrpJVWuXNk0PnnyZBmG4fY8yNwMw3D4fqlWrVoaNmyY2/P4+fnp66+/No0nJiY6/TeeFhn1PRMAAAAAAMC9IKusAYSGhjpsvvnggw+UL18+t+f5+OOPFRwc7Haef+M6P9zFmrtjrLnD27LK6216KlWqlBYuXOjS0zb/KSoqShs3btRnn32m7t27q3Tp0qpQoYKeffZZrV271vIn8l26dEk//fSTabxNmzZ69tlnLZ0zoxo9erRp4/WqVavSuRr7oqOj9d1339mN+fv765tvvrH0KcKDBw82fa/kiXVYAEDmQOMeAAAAPOrs2bNavXq1aTyti1Bt2rRRkSJF7MZiYmIcPj3JSsWLF9eTTz5pSa4HH3zQ9HsKDQ1VbGxsmvI5ukD40ksvpfmOZWaGDRum0qVLW5IL3texY0e748nJydqyZYtH5hw8eLACAgI8ktvbnn/+eUvz/fDDD6axcePGWTqX9Pfd8erVq2c3tmTJEqdymF3cjouLc7kuK82aNcs01rlzZz3wwAOWzOPv768PPvjANB4aGkrDEbR582adPn3aNP7f//7XsgWjZs2a6dFHHzWN//jjj5bMc0dGfs8EAAAAAABwr8gKawBz5841jZUtW1bPPPOMJfMULVpU//nPfyzJ9U9c54c7WHNPHWvuyAiywuttemvYsKHWrFmjokWLWpr35MmTmjBhglq2bKnSpUvr/fff17Vr1yzJPW3aNNOn7fn6+mrChAmW3CA2MyhSpIgaNGhgN7Zp06Z0rsa+efPmmTakDxw4UJUqVbJ0vmzZsunll1+2Gzt79qz27dtn6XwAgMyBxj0AAAB41LRp00zvXlW5cmXVr18/Tfn8/PzUu3dv07ijOw1aqX///vL397csX82aNe2OJycn69SpU07nOXnypI4dO2Yad/SzSys/Pz/16tXLsnzwrsaNG5vGDhw4YPl8fn5+lt49NiOpXLmyGjVqZFm+y5cva8OGDXZj9913n+mFcHe1a9fO7vi+fft09erVVPc3uzvqn3/+aXqH0vRy4sQJnTx50jTer18/S+d77LHHHN4tdsWKFZbOh8zH0TFQpEgR079HVzk6xo8fP67Q0FDL5sqo75kAAAAAAADuJVlhDWD58uWmsaeeesr0aS+ucPQ0MldwnR/uYs3dOay5w9uywuutNzRs2FAHDhzQ008/7ZGGt/Pnz+udd95R2bJl9d5777l9I8iFCxeaxtq1a6fy5cu7lT+zMTvuDx06ZPnTDl3x888/m8asfs93h6O1XUdPkAYAZF007gEAAMBjDMPQtGnTTOOuXgBxtN/27dt18OBBl/KmRfPmzS3NV716ddPYpUuXnM6zdu1a01j9+vVVoUKFNNWVmqeeesrSfPCeXLlyKVeuXHZjR48etXy+OnXqqHjx4pbnzQgcPcnKFStWrJBhGHZj3bt3t3Suf2rRooXdccMwtHv37lT3L1u2rN3xS5cu6bPPPnOnNLetWbPGNFawYEG1bdvW0vmyZ8+uHj16mMYd3SUX9wZHx2TPnj0te9reHY899pjy5ctnGrfymMyo75kAAAAAAADuJZl9DSA6Olrbt283jVvd9HLffffp/vvvtywf1/nhDtbcnceaO7wts7/eelP+/Pk1Y8YM7dixQ507d7a0If+OW7duafTo0apZs6ZTr4P2XLt2TTt27DCNP/vss66Wl2mZPYE0JiZGZ8+eTedqUoqNjTU9p5cqVUoNGzb0yLwVKlQw/dvctWuXR+YEAGRsNO4BAADAY9auXWt65zpfX1+X70RXo0YN1alTxzTu6TsA+vn56cEHH7Q0p6MnMV2/ft3pPDt37jSNtWrVKk01OaNatWqmF+GQ+Zgdh+Hh4ZbPVa9ePctzZhRWf2+bNm0yjaX1DqppYbYgLzl3R8iHHnrINDZy5Eh99NFHSkxMdKk2dzlaiHnooYeULVs2y+d01Ay4b98+0w9tIOtLTk7Wvn37TOOtW7e2fM7s2bObfmhHkvbs2WPJPBn5PRMAAAAAAMC9JjOvAezfv1/x8fF2Y0WLFlWVKlUsnU+ydl2N6/xwB2vuzmPNHRlBZn69zQjq1aunBQsW6PTp03r33XcdNuS66vjx42rUqJHmz5+f5n137Nhh+hS5gIAAPfzww+6Wl+k4Ovd64rhPi927dysmJsZu7IEHHvDo3Gbvwzzx9E0AQMZH4x4AAAA8xtHF/BYtWqhkyZIu5+7bt69p7Mcff1RCQoLLuVNTqFAhBQUFWZozd+7cprHY2Fin8zi682GtWrXSVJOzPJUXzrt69aqWLl2qMWPGqFevXnrwwQdVvnx55c2bVzly5JCvr698fHxS/TK729mVK1csr7lu3bqW58worP7eHDWZVatWzdK5/snRBfZz586luv8jjzyiwMBAu7Hk5GS98cYbqlKlij777DNdvnzZ5Tpd8ddff5nGHC1Su8NR3tu3bys0NNQj8yLjCw0NVXR0tGncG8ekVQtGGfk9EwAAAAAAQGbBGkDmX//iOj/cwZq781hzhzt4vc1YSpYsqXfeeUcHDhxQaGioJk6cqF69ejlsSk+LuLg4de/eXStXrkzTfo5e02vXrq3s2bO7W1q6SU5O1t69ezVx4kQ999xzateunWrUqKGiRYsqKChI/v7+Th3zAwYMMJ3DE8d9WnjrPZhk/j7MmfdgAICsx/pbyAMAAACSbt68qV9++cU07mgRwBm9evXSiBEj7N7F8fLly1q6dKmeeOIJt+YwkzdvXstz5sqVyzSWlgURR40fnlxE+P333z2SG+Zu3rypmTNnas6cOfrzzz9N7+pmBbM7kLmjdOnSlufMKKz+3o4cOWIaGzp0qHx8fCydzxnO3BmvcOHCGjx4sL766ivTbU6cOKFXXnlFr776qho1aqT27durRYsWeuCBB+Tv729lySmcPn3aNOapJqkSJUqoQIECunr1qt34mTNnVL58eY/MjYzN0fFYpEgRFSlSxCPzOjrWz5w5Y8kcGfk9EwAAAAAAQEbGGkBK3lr/sgrX+eEq1tzThjV3pBWvt5lD2bJl9cwzz+iZZ56RJF27dk27du3S7t27tWvXLu3cudPhepuZ5ORk9ezZUzt37lS5cuWc2ufkyZOmMaufIuopf/75pyZPnqzFixd7vPHeE8d9Wjh6D7ZgwQJt27bNY3Ob3Sj15s2biomJUY4cOTw2NwAg46FxDwAAAB4xZ84c0wswuXLlUpcuXdzKX7BgQbVv315LliyxG58yZUqmWkRwtCBnGIZTOQzDcHhRzVMXbcuUKeORvLAvJiZG48aN06effqpbt26ly5xxcXGW53R0x8vMLHv27AoICLAsX0REhG7fvm0a99YCnqOa/um9997TihUrdPz4cYfbJScna9OmTdq0aZMkKUeOHHrggQfUqFEjNWrUSI0bN1a+fPncrvvOXJcuXTKNe/KcVq5cOdPGvQsXLnhsXmRsjn73nj4ezVy8eFGGYbj9gaGM+p4JAAAAAAAgo2INwL6LFy+axjL6+hfX+a2/zn8vYc09bVhzh7N4vc3c8ufPrzZt2qhNmzZ3x86fP6/169drxYoV+vXXXxUVFeVUroiICD399NPavHmzU9s7elpaRr9J659//qlXX3317mt1evDEcZ8Wjn5fBw8edPiEVU+6ffs2jXsAcI/x9XYBAAAAyJqmTJliGuvcubPDu905y9EdBFesWOFwEc8d2bJlzPtf3Lx50+7dECXJ39/fYxd9goODPZIXtvbs2aPatWtrzJgx6baAIMkjdxYMCQmxPGdGYPX35cwdb73B2Tvj5cmTR0uWLFGJEiXSnH/Dhg366KOP9Pjjj6tgwYJ64IEHNGbMGNM70znr1q1bpudKybPHpqPc169f99i8yNgiIiJMY946HhMSEix5ncmo75kAAAAAAAAyItYAzF27ds005qmmhZw5c8rPz8/tPFznt/46/72ENff0x5p71sfrbdZUokQJPfXUU5o5c6YuX76s6dOnq2LFik7tu2XLFqcb6c1u0ip5piHZCklJSXr99dfVuHHjdG3akzxz3KdFZn8fBgDIOmjcAwAAgOUOHjyoHTt2mMYdXfxPi8cee8z0wldiYqJmzJhhyTyZhaMLO5680H+v3sUtva1Zs0ZNmzbVsWPHvF2KJXLmzOntEjzC6u/L2TveprekpCSnt61UqZJ27dqlhx9+2OX5kpOTtXPnTr377ruqWbOm6tWrp6lTpyohISHNuVK7CO7Jc5qjxTMuzt+7HP3uvXU8ShyTAAAAAAAA6Yk1AMe8dQ3NivU1rvP/zcrr/PcK1ty9gzX3rI3X23tDjhw51KdPHx0+fFifffaZsmfPnuo+77//vlO5HZ0j8uTJ42yJ6SYhIUGdO3fWuHHjvN5E5w1Z4X0YACBryJi3LQEAAECmNnnyZNNYyZIl9dBDD1kyT/bs2dWjRw99++23duNTp07Va6+9ZslcmYGjhS1PXrANCgryWG787a+//lKnTp3SfFExJCREhQoVUu7cuRUUFKRs2bI5vHvl+vXrFRsb6265sFBcXJy3S7BEoUKFtGrVKi1evFijRo3S/v373cq3e/duDRgwQB988IE+++wzdezY0el94+PjTWM+Pj4ePV86uvOto7qQtTn63Vtxt2QzqR3rHJMAAAAAAADpgzWA1HlzDezGjRtu5eA6v33uXOe/V7Dm7h2suWddvN7ee/z8/PTSSy+pfv36at26tcOmu82bN+vy5csqVKiQw5yOXtcz4pMzhwwZosWLF6dpH39/fxUsWFD58+dXcHCwAgIC5O/vLx8fH7vbh4WF6a+//rKiXMtllfdhAIDMj8Y9AAAAWCohIUE//vijw3iHDh0smy88PNw0duTIEW3ZskWNGjWybL6MzN/f3zQWHR3tsXkz6h2qsoqkpCT17t1bt27dcrhdgQIF9Oijj6pZs2aqU6eOypcvn+YLw2XKlNGZM2fcKRcW8/X19XYJlnr88cf1+OOPa9u2bZoxY4Z+/fVXXbhwweV8oaGh6tSpkwYPHqxvvvnG4XnwDkd3VDQMQzExMcqRI4fLNTni6HzpzJ0ekTU5+t178vU7tdwckwAAAAAAAJ7HGoBzMvMaGNf5HXPlOv+9gDV378nM5xuY4/X23ta4cWNNmTJFPXv2NN3GMAytWbNGPXr0cJgrICDANBYVFeVyjZ4wf/58TZ061eE2Pj4+atiwodq2bav69eurWrVqKl68eJrev0ybNk39+/d3t1yPyGrvwwAAmReNewAAALDUkiVLdOXKFdP4xYsXdfHixXSrZ8qUKffMIoKjRpPULkC7IzIy0mO5IU2fPl379u0zjefPn1+ffvqpevXq5fZiJk9XynhSayCLjo72WJOZJzVo0EANGjTQN998o6NHj2rdunVav369Nm7cqPPnz6c53/fff6+4uDhNnz491W1T+3ndvHnTYz9TR+fLzPh7hDUc/e5v3rzpsXlTe/3mmAQAAAAAAPA81gCc4+halSfXqaxYX+M6v3PScp3/XsCau/ew5p418XqLHj166Ouvv9bmzZtNt9mwYUOqjXuOzhEREREu12e1xMREvf766w636dKliz766CNVqFDBrbky8jHv6Pc1YcIEDRs2LB2rAQDcy2glBwAAgKUmT57s7RJSmDdv3j1zd7rcuXPLz8/PbiwhIUExMTEemTezLyIkJiZ6uwSHvvjiC9NY1apVtXv3bvXt29eSO5BmpAvJ+FuePHkcxq9fv54+hXhQpUqVNGTIEM2ePVvnzp3T6dOnNWvWLD3zzDMqX76803lmzJjh8O/ljuDgYGXLZn4fI0+e0xw1YeXLl89j82Y0Gf28m97y5s1rGvPW8ejv75/mO8gCAAAAAAAg7VgDcI6j66eeuoYWHR1tybVMrvNbf53/XsCau/ew5u6ajL72w+stJGnIkCEO4840nhcoUMA0duPGjbSW5DFLlixRaGioafyTTz7R/Pnz3W7akzL2exlH78Myct0AgKyHxj0AAABY5sKFC1q5cqW3y0jh1q1b+vnnn71dRrrw9fVV4cKFTeNnz571yLxnzpyxNJ+Pj4+l+VKTkS/GHT16VPv377cbCwwM1Lx581SqVClL5oqOjlZsbKwluWCdEiVKyNfX/H/dM/Lx66rSpUurV69emjhxok6cOKEjR47ov//9r1OLBu+9916qTyhL7Vx5+vTptJbstFOnTpnGihUr5rF5U8N517sc/e69dTwWKVIk3Y8LAAAAAACAew1rAM4rWrSoaSyjr39xnd/66/xZHWvu3sWau2sy8rmM11vc8fDDDzuMX716NdUcJUuWNI2dPHkyzTV5yrx580xjTz/9tEaMGGHZXBn579/R33ZGrhsAkPXQuAcAAADLTJ8+XUlJSd4uw8aUKVO8XUK6KVu2rGls3759HpnT6rw5cuQwjXniTo4Z+WLc+vXrTWO9e/dWtWrVLJvL6sUgWMPf318lSpQwjXtqcTAjqVSpkt58800dO3ZM8+bNc/gBjevXr2vatGmp5ixTpoxpbM+ePS5UmboLFy7o8uXLpnFHNXka513vcvS7Dw8P16VLlzwyr6Nj3ZvHIwAAAAAAwL2CNQDnZeb1L67ze+Y6f1bGmrv3ZeZzzh2s/fw/Xm9xR9GiRRUQEGAav3btWqo5HDWh//nnny7V5Qlmx72Pj4/++9//WjpXRj7uy5UrZxq7F96DAQAyDhr3AAAAYJmpU6d6uwS7Nm7cqBMnTni7jHTh6KJyZllECAkJMY3dunXL0rmioqKcumuat/z111+msW7dulk61+bNmy3NB+vUq1fPNLZhw4Z0rMS7fHx81K1bN23ZskXFixc33c6Zu9DWqFHDNOapxj1HeYOCghwuAntaep53Jc8+RS4zKleunHLlymUa98Yx6ehvBAAAAAAAANZgDcB5mX39i+v8f7PyOn9Wxpq792X2c47Emvs/8XqLf8qXL59pzNETcu+oW7euaWzPnj2Kj493qS4rXb9+XeHh4XZjDz74oMOnBrpiy5YtluazkqP3YBs3bkzHSgAA9zoa9wAAAGCJjRs36vjx46bxXbt2yTAMj37VqVPHdP575Q6A999/v2nsjz/+sHy+gwcP6uLFi5bmdLSIYPUF/61bt2bIO1bece7cOdNYlSpVLJ2LRYSMq2HDhqaxdevWpV8hGUSZMmU0fvx407gzCwOOFlTWrVvnkfPCqlWrTGO1a9eWj4+P5XM6KyAgwPTuklafd6Ojo7V7925Lc0ry6s/PXb6+vqpVq5Zp3BOv3wkJCQ7PH47+RgAAAAAAAGAN1gCcV6tWLfn7+9uNXbhwQYcPH7Z8Tiuvy3GdPyUrrvPfkZmvDdvDmnvGwJp72rDm/v8y++vtveDGjRumseDg4FT3f+CBB0wb/OLi4rR69WpXS7NMeh7zZ86c0fnz5y3NaaUHH3zQ9L3CpUuXPPIeEgAAe2jcAwAAgCUcXaSvUqVKunwA/KmnnjKNzZgxI0NfLLbKQw89ZBrbvn27Tp48ael8s2bNsjSfJOXJk8c05uhueK7I6HcxjYqKMo0VLlzYsnlu376tRYsWWZYP1nr00UdNY7t27dKpU6fSsZqMoWPHjsqdO7fd2M2bNxUXF+dw/5YtW5rGLl265LDJzhWJiYmaPXu2S/WkF7Nz7+HDh5WcnGzZPFu3blVCQoJl+e7Ili2b3fGYmBjL5/IER8fAnDlzLP0dSNLy5csdLsxnhGMSAAAAAAAgq2MNwHk5c+ZU/fr1TeOOrr+64tixY9q5c6dl+bjOb8vd6/x3mF0bljLP9eF/Ys09Y2DNPW1Yc/9bVni9zepu3Ljh8LXBmSfR5cuXTw8++KBp/JtvvnGpNiul1zEvWf8ezGqFChXSAw88YBr/+eef07EaAMC9jMY9AAAAuC0qKsrhxQxHF/et1LNnT9M7W4WFhWnlypXpUoc3VahQQRUrVjSNz5w507K5kpKSPHIRrly5csqePbvd2N69ey2bJyEhQVOnTrUsnyeY/Rykvy/8W2X69OmKiIiwLB+sVaVKFVWtWtVuLCkpSR999FE6V+R9/v7+Kl++vGn82rVrDvcvX768w3Pl9OnTXa7NnuXLl+vKlSum8fbt21s6nysqV65sdzw6OlrHjh2zbJ5JkyZZluufAgMD7Y5HR0d7ZD6rOToGLly4YHkzqaNjvFKlSipbtqyl8wEAAAAAAMAWawBp06FDB9PYrFmzLL351YwZMyzLJXGd3x53r/PfYXZtWMo814fvYM0942DN3Xmsuf+/rPJ6m5WtWbPGYbxSpUpO5enSpYtp7LffflNoaGia6rJaeh3zCQkJ+vrrry3L5yldu3Y1jX355ZcOGx0BALAKjXsAAABw29y5cx1e3OnVq1e61FGsWDG1aNHCNJ7RLxhbpUePHqax8ePH6/Lly5bM8+233+rMmTOW5Pqn7Nmzq3r16nZjly5d0rZt2yyZZ+7cuQoLC7Mkl6cULFjQNGbV3Vdv376t//3vf5bkgucMHTrUNDZt2jSvX/z3BrNFY8nxYsQdjha4582bZ9miZWJiot566y3TeIUKFRzelTG91KtXzzRm1d1Bz5w5owULFliS69/y589vdzwqKko3b970yJxWatiwocNmubffftuyDx5t3bpVv/76q2m8d+/elswDAAAAAAAAx1gDSJvu3bubxk6dOmXZTcPCw8P15ZdfWpLrn7jOb8vd6/yS+bVhSTp//nyaa/Im1twzFtbcncOa+9+y0uttVvbTTz85jDdu3NipPH369DF9nUpOTtazzz6b5tqslB7HvCR9//33unDhgmX5PKVfv34KCAiwG7t27Zq++OKLdK4IAHAvonEPAAAAbpsyZYpprFGjRun61BZHjRiLFy92+u6MmdmAAQPk5+dnN3bz5k2NHDnS7TmuXr2qd955x+08Zhw1kFhxB8OrV6/q9ddfdzuPpxUqVMg0tmzZMkvm+M9//mPpxVl4Rr9+/UwXn+Pj4/XEE09Yene8jC4xMVEnT560GwsMDFS+fPlSzdGvXz9ly5bNbiw5OVnPPfecDMNwq05J+vrrr/XXX3+ZxgcNGuT2HFZwdN798ccf3c5vGIaGDh2qpKQkt3PZU6JECdPYkSNHPDKnlXx8fBweCzt37tQPP/zg9jypHdv+/v7q16+f2/MAAAAAAAAgdawBpE358uXVqlUr0/jbb79tyZOOXn/9dd26dcvtPP/Gdf6UrLjOL0lFixY1bQDMDNeG/4k194yFNffUseb+/7LS6216WLRokSZPnuyxdUN7Nm3apPnz55vGc+bMqebNmzuVq0CBAg5vhLlixQpNmDAhzTVaxVHj3po1axQTE+P2HEePHtWrr77qdp70ULBgQfXt29c0PmbMGK1duzYdKwIA3Ito3AMAAIBbjh49qi1btpjGHV3U94QuXbqY3ikpPj7ekuaDjK5MmTLq1q2baXzq1Kmp3knMkaSkJD399NOWLH6aadmypWnshx9+0PHjx13OnZycrP79+2eKO3/Vr1/fNPb1118rMjLSrfxTpkxxuAiIjCM4OFhjxowxje/fv1+9e/dWfHy8R+vYtm2bLl26lOp24eHhWr16tcfq+PXXX3Xjxg27serVqzu8S+8dpUuXdvgatXnzZn388ceulihJ2rdvn95++23TeN68eTV8+HC35rBK8+bNTX9uf/31l2bMmOFW/k8++UQrVqxwK4cjlSpVMo15cl4rPfvsswoJCTGNv/baazp69Khbc7zzzjvavXu3abxPnz4OmyABAAAAAABgHdYA0s7RB8SvXbump59+WsnJyS7n//HHHy1pZrGH6/wpWXGdX5ICAgJUpkwZu7EjR47o9OnTrhWYzlhzz3hYc3eMNff/lxVfbz0tPDxcgwYNUo0aNTRr1iyPN/CFh4erf//+Dm/a+sQTTygoKMjpnKNHjzY9T0rSiBEjtH79+jTVaZVcuXKpWrVqdmO3b992+8nCERER6t69u6Kjo93Kk57GjBlj+vtNTExUt27ddOjQIY/WcOXKFW3dutWjcwAAMi4a9wAAwP+xd99xXZX//8efoCDgAPceuGdp7kxw75lby+xjw5mlNtSWWTkaVo6yzL23Ocq9NXHnzInmHgjKEGT8/uin3+B9DvIevEF43G83b7fe13XO67wOwTlwXue6LsAuiT2AzJgxozp37uzEbCRvb2+1atXKtH/69OlOzCbljBo1Su7u7qb9r7zyihYtWmR13AcPHqhLly7JPgiiXbt2yp49u2FfZGSkXn31VZseAj548EAdO3bU6tWr7U3RKRo1amQ6k+PNmzf12muv2VyA/v7771PNSl9Imj59+qh69eqm/StWrNALL7ygS5cuOfS4cXFxWrVqlfz8/FSrVi1du3btifvcuHFDjRo10nPPPae5c+cqOjraYflcuXJFAwcONO1v3rx5kmN98skn8vT0NO0fPny4pkyZYlV+j5w8eVLNmzdPdIbkESNGKGvWrDbFd7SCBQuqadOmpv1Dhw7V2bNnbYo9ZswYh8w8m5iaNWua9k2aNEm3bt1K1uM7gre3t4YNG2baHxISoqZNm9r8/+G7777TF198YdqfOXNmffTRRzbFBgAAAAAAgPWoAVivadOmiQ5EWbNmjbp3767IyEirY8+fP1//+9//7EnviXjO/y9HPueXEn8+PHLkSKtipRRq7qkTNXdj1Nz/T1q93zrLyZMn9dJLL6lUqVIaP368goKCHH6Mv//+W3Xq1Em0vubi4mL16pFFihTRiBEjTPsjIiLUsmVLLV682Kq4ZmJiYrRgwQL99NNPSdo+sbrvqFGj9Oeff9qUx9WrV+Xn56cjR47YtH9KyZ8/f6J10jt37qhmzZoO+//1X2fPnlW/fv1UtGhRLVy40OHxAQBPBwbuAQAAwGYxMTGJzjrZtGlT5cqVy4kZ/eull14y7Tty5IgOHDjgxGxSRsmSJfXee++Z9kdFRalLly7q169fkh9+7t69WzVq1NDSpUvjtRcuXNiuXI14eHioe/fupv27du1Sq1atrBqIsXfvXvn5+Wn58uXx2jNmzGhznsnNx8dHjRo1Mu1fvHixOnbsaNUD7EuXLqlbt256++23480o5+LikuiMcEh5GTNm1Pz58xMd6LVv3z5VqVJFY8aMUUhIiF3HO3jwoIYPH65SpUqpTZs22rFjh9UxDh06pJdeeklFihTRoEGDtHPnTrtmO960aZNq1Kih69evG/ZnzJhRvXv3TnI8X19fffzxx6b9cXFx6tOnj/r376/79+8nOe78+fNVu3btRF9+qFy5sgYNGpTkmM6Q2Espt27dUv369a0qwly+fFk9evTQsGHD4l1vkuO6W7duXWXOnNmw79atW6pRo4Zmz55t96ypyW3w4MGqVKmSaf/FixdVs2ZNLVmyJMkxQ0JC9Nprr+mdd95JdLuRI0eqaNGiSY4LAAAAAAAA+1ADsM0PP/yQ6LksXLhQNWvWTPIL6Xfu3FGfPn3UvXt3PXz48HF71qxZ5e3tbXe+/8Vzfsc/55ekZs2amfbNmDFDHTp00O7du+3KOzlRc0+9qLlboub+r/Rwv3WmCxcuaPDgwSpYsKC6deum5cuX68GDB3bFDA4O1vvvv69nnnlGFy5cSHTbR6v/WWvYsGGJDsgPCwtT586d9fLLL+vy5ctWx5f+HVw6adIklStXTt26ddOpU6eStF9iK4aGhYWpefPmFj/HiYmLi9OsWbNUrVo1HTt2LF6fh4dHkuOkpIEDB6pFixam/aGhoercubO6detm98DEmzdvasqUKWrcuLHKlCmjH3/8UREREXbFBAA83VLvb8sAAABI9dauXZvooITEHuYnpxYtWih79uy6e/euYf+0adNUtWpVJ2flfB9//LHWr1+vgIAA021+/PFHzZo1S127dlWLFi1UuXJl5c+fX+7u7rp//77Onz+v3bt3a9GiRYbFPG9vb40ZM0Y9evRweP7vvPOOpk2bZvrwasuWLSpdurTee+89derUSSVLlrTYJigoSOvXr9eCBQu0cuVKi/4WLVooNDRU27dvd3j+jjJy5EitW7fOtH/58uXatWuX+vbtq+7du6t06dIW20RGRmrz5s1auXKlZs2aZfg1ffvtt7Vs2TJdvHjRofnDsUqUKKFly5apZcuWioqKMtwmKChIw4YN0+jRo9WtWzc1aNBAfn5+ypcvn2nciIgIHT16VIcOHdKhQ4e0fv36JxYwrHHt2jX98MMP+uGHH5Q/f341bdpU1apVU7Vq1fTss8+aPsyPi4vTxYsXtX79es2dO/eJP6v9+/e3euDRe++9p82bN2vDhg2m20yePFlLly5V//791aVLF8Ofs+DgYK1du1YTJkx44gsh2bJl08KFC1NdEbNt27aqWLGiRbHlkcuXL6tq1ap67bXX9Oqrr6pGjRpycXGJt82DBw+0fft2rVy5UtOmTbMoqhUqVEjt2rXTxIkTHZq7p6enOnTooFmzZhn2BwYGqmfPnnJxcVHRokWVP39+Zc6c2XSG1WeeeUbjxo1zaI5J4ebmpoULF6pGjRoKDQ013CYoKEidOnVSnTp1NGDAADVv3tzwBaK///5b8+fP1+TJk59YdG/evLkGDx7skHMAAAAAAAB4Wvz111+JDvhxpCFDhqhx48YW7dQArFehQgWNGzcu0YnRjhw5otq1a8vf31+dOnVS7dq1VaJECWXJkkVRUVG6evWqDh8+rDVr1mjRokUKCwuziDFmzBiNGzfO7sFzCfGc3/HP+du1a6esWbOaTsC3bNkyLVu2TJ6enipZsqR8fHzk6elp8Xz7EbOf1+RCzT11o+ZOzf2R9Ha/TQkPHjzQggULtGDBAnl6eqpu3bpq0KCBqlatqsqVKyc6iDkmJkanT5/WwYMHtXTpUv3+++9JGvxXqlQpffPNNzblmzFjRi1fvlw1atTQ1atXTbebM2eOFi5cqBdffFFdunSRn5+fcubMabhteHi4Dh8+rH379mnNmjXavHmzYmJirM6tVq1aatasmenKnsHBwXrxxRfVrFkz9evXT/Xr11eWLFkstjt//rx+++03zZ49WwcPHrTo9/b21uDBg/XJJ59YnaOzubi4aP78+fL399fhw4dNt3v0PdikSRO1bNlS/v7+qlSpklxdjddKiouL0/nz5x//DrZr1y7t3LnTpv9vAIC0K3W9IQYAAICnyrRp00z7smTJojZt2jgxm//j7u6ujh076pdffjHsnz9/vr755punZtYnW7m5uWnZsmWqVatWorN3hYWF6ddff9Wvv/5qVXwXFxf9+uuvpg8UJZkOiEiKEiVK6PPPP9eQIUNMtwkODtbw4cM1fPhwFSxYUPny5ZO3t7eCg4N18+ZNXb161XT2zOLFi2vWrFnq0KGDzTk6Q82aNdWlSxctXLjQdJubN29q5MiRGjlypHLlyqWiRYvK29tbYWFhunHjhq5du6bIyEjT/atVq6bRo0dr2bJlyXEKcLBGjRpp4cKF6tatW6LFhnv37mnKlCmaMmWKJClXrlzKmTOncuTIIS8vL927d0/BwcEKDg5WUFCQ0x4cX7t2TTNmzNCMGTMk/XudeJRX9uzZlTlzZoWHhz8uZBq9MGGkYsWK+vLLL63Ox9XV9fED+uPHj5tud+PGDX388cf6+OOPlStXLpUoUUJZs2Z9/JLH+fPnkzRbr7u7uxYsWGBY8Etpbm5umjZtmmrXrm36/RATE/P4+yp79uwqXLiwcubMqfDwcN26dUtXrlwxvd54eHho0aJFiRZG7TFs2DDNnz8/3qzYCcXFxSkwMFCBgYGJxrJ3Fk97lCtXTvPmzVOHDh0SPZddu3Zp165dcnV1la+vrwoWLCh3d3eFhobq7Nmzun37dpKO98wzz2ju3LmmL6kAAAAAAACkVXfv3k22Z1UJde3a1bCdGoBt3nrrLR0+fFjTp09PdLtt27Zp27ZtVsdv27at+vbtazq5lz31L4nn/GZsfc6fLVs2vf322xo1alSi2z0a3PgkZj+vyYWae+pGzZ2ae3q+36akiIgIrV+/XuvXr3/cljVrVhUuXFg+Pj7y8vJSdHS07t27p/v37+uff/6xur6XL18+/fHHH4muhPskBQsW1O+//65GjRolOpHmw4cPtXDhwsffg/nz51fhwoWVJUsWxcbG6u7du7p7966uXLnisPv5mDFjtHnzZtOJAiTpjz/+0B9//KEMGTKoVKlSypkzp9zd3XXr1i1dv3490Xqji4uLfvnllyTf51ODbNmy6Y8//lDTpk2fuKref7//MmfOrNy5cz/+XefBgwfxfgdjNT0AwJMwcA8AAAA2uXnzptasWWPa3759e3l5eTkxo/h69OhhWkS4e/euli9frm7dujk5K+crWLCg1q1bp8aNGyc6w5ctxo0bpw4dOmjr1q2m22TKlMmuY7z99ttasWKF4cyDCV25ckVXrlxJUtz8+fNr48aNiRZAUpOpU6fq5MmT+uuvv5647e3bt5M8WEOSSpYsqTVr1tj9/wrO1a5dO61fv14dOnR44kpaj1j7veEsMTExunnzpm7evGlzjBIlSuj333+3+b6TM2dObdq0SY0aNTJdbe6/bP1aenp6asGCBWrevLktaTpF9erV9f777yfp5YhHBaSkyJgxoxYvXqzatWsn28tQZcuW1RdffKH33nsvWeI7U+vWrTV//nz16NEj0SKwJMXGxurcuXM6d+6c1cd59tlntWHDBmXPnt3WVAEAAAAAAGAnagC2+fnnnxUaGqrFixc7NG7NmjWfONGVI76ePOePz97n/MOHD9eaNWsMVwNKzai5Px2ouRuj5v5/0vL9NjW5f/++Tpw44ZBYZcuW1dq1a+Xr62t3rGeeeUbbt29XixYtkrza7bVr1xJdbdURnn3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Jxx15eXnyxBNPyA033CAHDx70eH/z5s2Tbt26yfHjxz3az4kTJ6RXr17y7bffur2Pb775Rvr16+e1yY3+5NChQ9K9e3d5+eWXJTs726N9nTt3TkaOHClPPfWUl0pnk5eXJ3fddZdMnTrV5QlVl+3bt0969uzp0uTOovbVtWtXiY+Pl8zMTI/3J5L/IoCjYxs3bpyULl3aLv3DDz8UTdO8kr+IyPvvv2+YbjRx0CqHDh2SLl26yLp167y2z9WrV0tMTIxH15HLkpKSpGfPnrJw4UK3tv/zzz+lV69esnnzZo/L4qkLFy7IddddJy+88ILhRBtXnD9/Xu69916555573I5hqMefzpGNGzfKVVddJTt27HB7H1OnTpUpU6Z4sVSe0TRNfvjhB7v07t27S6lSpSwokbHc3FwZP368TJkyxbDNevjhh+XLL7+U8PBwC0oX3K6++mq7tE2bNrk0sRUAAAAAAG+7++67DdMXL15s2jPr0qVL5eTJk3bpYWFhctddd5lSBgAAACts27bN7gsMqlSpIuPHj7eoRAAcad26tQwePFiXdujQIXnnnXcsKhEAwB1M3AMAAPBTy5cvl/vuu0/y8vLsPitXrpw0atRIYmNjpV27dlKhQoVi95ebmytjxoyRV199tcj1wsLCpHbt2tK2bVvp2LGj1K1bV8LCwhyuv3XrVunXr5+cP3++2DIYSUtLk0GDBhX7i1Tly5eXFi1aSIcOHaR69ep23zYkkv9C/8iRI90qh7/6+++/pUePHvLHH38Uud7lc6Zz587SqlUrqVy5cpHrv/zyy/LMM894s6jy4IMPGn67bWhoqNSsWVPatWsnMTExUrt27SL3c+TIERkzZoxHk9127NghPXr0kD///LPYdStWrChNmzaV2NhYad68uVSvXt2tPCtXriy33XabXfr+/ftl+fLlbu2zsO3bt8v69evt0rt27Spt2rTxSh6eunjxolx33XVy6NAhu8/CwsKkVq1aEhMTI506dZL69esbxnph33//vQwcOFBOnTpV5HqVKlWSZs2aSWxsrERHR0tERITDdTMyMmT48OGydOnS4g/qCufPn5eBAwfK6dOni1zv8jWtU6dOEhsbK82aNZOaNWtKaKj3HuPT0tJk4MCBxf66ZZkyZaRhw4bSqVMnqVevnpQsWbLI9T/66CMZNWqUVyecwhr+dI7s2rVLBg0aJCkpKXafRUZGSpMmTSQ2NlaaNm0qZcuWLXJf06dPd+lXX33pjz/+kBMnTtil9+nTx/zCOJCWliaDBw82nBgeGhoqb7zxhrz55ptevX7BeUYT9/Ly8gwnhAIAAAAAYJZbb71VIiMj7dKzsrJk/vz5ppRh7ty5hukDBgyQWrVqmVIGAAAAKzzzzDN243QPP/xwsWNoAKzx9NNP26VNnz5dUlNTLSgNAMAdJawuAAAAAFx37tw5GTNmjO7XasqVKydxcXFy8803S2xsrN3L0Tt37pR58+Y5/HWWyZMny6effmr4WVhYmNx+++1y++23S69evaR8+fK6z1NSUuTHH3+UGTNmyMaNG+2237lzp8TFxcnnn3/u6qHK5MmTHU46Cw8Pl7i4OBk5cqS0b99e99mpU6ckISFBZs6cKcnJyQXp33zzjURFRblcDn909uxZGTBggPzzzz+Gn9eoUUMeeOABGThwoMTExNidM7t27ZKFCxfK66+/LmfPnrXbPj4+Xnr37i3XXnutx2X95JNP7AbJe/fuLePHj5drr71WKlWqpPvs0KFDMn/+fImPj5cLFy7Y7W/t2rXywQcfuPUrckeOHJEBAwbIsWPHHK5z/fXXy7Bhw2TgwIGGE/XOnTsnmzZtkl9++UUWLFigOweLEhcXZxiH77//vgwYMMD5g3DA0a/tqfTNeZMnT5akpCRd2sCBA2Xs2LEyYMAAu+vPuXPn5Ntvv5USJYwfbzdu3Ci33nqrw19NbNu2rTzwwAPSr18/ady4se6z3Nxc2bBhg3z++efy4YcfSk5Oju7znJwcGT16tGzdulVq1qzp1PE988wzDn+FtF+/fjJ27Fjp16+f1KhRw3Cd9PR02bFjh/zxxx+ydOlSWblypdu/JHrPPfcYTuQUEQkJCZERI0bI6NGjpW/fvroJ2pmZmbJ06VKZPXu2w4mLX3zxhTRr1kymTp3qVtkCSffu3XXLmzdvtjsfy5cv79LkWXcnCLvKX86R9PR0GTZsmK6tKl++vEycOFGGDBkiHTt21E3yzc7Olp9//lni4+Plp59+MtznfffdJzt37pQyZcp4XD5POJq43aNHD5NLYuz48eNyww03yJYtW+w+K1OmjHz22Wdyyy23WFAyc0RFRdnFuCcutzve1LNnT8P0H3/8Ue68806v5gUAAAAAgLPKli0rw4cPl9mzZ9t9NnfuXJk4caJP8z916pQsWbLE8DNHvwYIAAAQCDZs2CCLFy/WpUVGRsqDDz5oUYkAFKdz587Sr18/WbVqVUHa6dOn5Y033uCdDADwFxoAAACKVb9+fU1E7P5Wr15tWd5X/l133XXa4cOH3c4jISHB4b579Oih/f33307va/bs2VrJkiUN9/X555+7VK5ff/1VCwkJMdxXhw4dtF27dhW7j/T0dG3ixInF/h+KiDZ37lyny9a7d2+77evXr+/S8fl634MGDTI8ztDQUG3q1KlaRkaGU/s5e/asdvPNNxvuq2bNmtrp06edLtPcuXOLrYeoqCht0aJFTu3vn3/+0aKjow3307RpU6fLdVlubq7WvXt3h2Vr3769tnbtWpf3u2nTJu3222/XQkNDtXPnzhW5bkxMjF2+JUqU0I4ePepyvldKS0vToqKi7PZdsWJFp88Fb5o6dWqx50KVKlW0ZcuWuZ3HuXPntFq1ahnuu0KFClpCQoLT+0pKStJatGhhuK9rr71Wy8vLK3Yf6enpWtmyZe22Dw8P177++mu3jjEjI0P75JNPtI4dO2r/+c9/nN7u008/dfj/XrduXafbt/nz5xueV5evNRs2bHDpeEaPHm24L1cYtZu9e/d2aR++3Lcvy6dpmrZ69WqP2zhNU/cccea+aNiwYdqpU6ec2t/06dMd7sfV+xZfuOmmmwzLVlxb4oz9+/cb7nvq1KlObb9z506tQYMGhvuoXLmy9uuvv7pcJkdtw+jRo13el7OsvM8vbMKECYZlCQsL09avX+/2fqtXr263z+joaC+WHAAAAAAA161fv95hv8xff/3l07xnzJjhsE86KyvLp3n7iqd9PTCPt/pwAdgLhmsh1xB46rrrrrM7fyZOnOjWvhy9/2HFGAtglcLvOPhqXPO7776zi7WoqCgtNTXVJ/kBALyLX9wDAADwc0OHDpWEhAQpWbKkW9ufO3fO4Tdn3X333fL+++87/CUrI+PGjZN69erJ9ddfL9nZ2brPHn30URk2bJjDX/27Ul5entx3332iaZrdZ61bt5ZVq1ZJhQoVit1PeHi4zJw5U8qUKSOvvvqq08fh7z777DPDXzkqXbq0LFq0SK677jqn91WxYkX58ssv5d5775U5c+boPjt27JhMmzZNZsyY4XGZRUSqVasmK1eudPqXp+rUqSPLly+XVq1a2f3q2J49e2Tt2rUOf2nGyMyZM+XXX381/Oy6666Tr7/+WsqWLev0/i7r1KmTfPHFF/Liiy8Wu31cXJzce++9urScnByZM2eOPPPMMy7nfVlCQoKcP3/eLv2uu+6y/BeljFSvXl1WrVolrVq1cnsfkydPlqNHj9qlN2jQQFatWiWNGjVyel/NmzeXdevWSf/+/SUxMVH32fLly+W7776TwYMHF7mP5cuXG/463owZM+Tmm292uixXKlOmjIwaNUpGjRolFy9edGqbtLQ0eeyxxww/q1Gjhqxevdru1wcdueOOO6RevXpyzTXXSEZGhu6zvLw8mTBhgmzZskX3a2dQnz+fI3FxcfL22287vb8nn3xSDh06JLNmzbL77KOPPpIRI0Z4pVzu2rRpk11anTp1nLoH8qWff/5Zhg4dKufOnbP7rFGjRrJs2TJp2rSpBSXzX/Hx8fLuu+8afvbuu+9K165d3d53u3bt7H69ce/evZKSkmL5uQQAAAAACF5du3aVFi1aSFJSkt1nc+fO9dq4g5G5c+capt95551uj7cBAACobufOnfLDDz/Ypd9///0WlAaw9/PPPzscL/OF+fPnS2hoqGn5eWLQoEFSp04dOXz4cEHa+fPn5aOPPpKHH37YwpIBAJzBxD0AAAAPTJw4UaKiojzezzPPPCMDBw50ebtGjRrJ559/7tEg4ssvvyynTp2ySx84cKB88MEHEhYW5vI+r7nmGpk2bZo8+eSTuvQTJ07IF198IaNHjy52Hz/++KPs2LHDLj0iIkKWLl3q8kvGL7/8suzcuVOWLFni0nb+KCsry+EEr48++silSXuXhYaGyqxZsyQxMdFu0tKcOXPkxRdflMjISLfKe1lISIh88sknTk/au6xBgwbyxBNPyPPPP2/32TfffOP0xL0LFy7ItGnTDD/r1auXfPfddx4P2EdHRxe7zogRI2Ty5Ml2k+w+/PBDmTJlitudhu+//75huqqd8B9//LFHk/Z27txp+PJFVFSULFmyxKVJe5dVqlRJvvzyS4mJiZHU1FTdZ2+++WaxE/e2b99uWJ6xY8e6XBYjERERTq33/vvvy8mTJ+3SQ0ND5dtvv3V6QtZl3bt3dzjBKTExURYvXiw33XSTS/uEtfz1HOnRo4fMnDnT5UmAL730ksyfP19SUlJ06atXr7Z0YtPRo0fl2LFjdumutpPe9sUXX8iYMWMkKyvL7rPY2FhZvHixVKtWzat5Llu2THr06OHVfV52/Phxn+zXFZ999pnDe7f/+7//s5vQ76q2bdvaTdzTNE02b94s/fv392jfAAAAAAB4YuzYsfLEE0/Ypc+fP19effVVl75Y0ll//PGHbN261fCzu+++2+v5AQAAqOKNN96wS+vevbtH4/KAN+3fv18SEhJMy++zzz7zm4l7YWFhcs8999i9G/XWW2/Jgw8+6Nb7fQAA8zBxDwAAwANGkzDcceLECbe2mzVrloSHh7ud78WLF+Wdd96xS4+IiJC5c+d69FD/+OOPy5w5c2T37t269LfeesupiXsffPCBYfrTTz8tdevWdbk8ISEh8uabb8qKFSsMXzQPJPPnz5dDhw7ZpQ8bNkzuvPNOt/dbunRpefvtt6V79+669AsXLsjcuXPloYcecnvfIiKjRo2SAQMGuLXt3XffLS+88ILdLzRu2bLF6X3Mnj1bzpw5Y5ceGRkpH3/8sWnfslu2bFkZPXq0zJw5U5d+8OBB+fHHH92a5PvXX3/Jxo0b7dJ79eolLVq0cLusvnL77be7fS5c9sorr0heXp5d+ksvvSQtW7Z0e7+NGzeWp556ym6CxZo1a+Svv/6Sdu3aOdzWaHJI06ZNnfoVUm9y9A11999/v8TGxrq1zzvuuENmz54tP/30k2F+TNzzL/54joSGhrp971KhQgUZNmyYzJ49W5euaZokJibK1Vdf7VHZ3GX0bfMiIg0bNjS5JDbTp0+Xp59+2vAXkW+66Sb54osv3Ppl2uKcPHnScDJpIPjpp5/k7rvvNvw/HTNmjLz44ose59GgQQPD9KSkJCbuAQAAAAAsddddd8nTTz8tOTk5uvSTJ0/KkiVLiv2yNHfMmzfPML1jx47Stm1br+cHAACgglOnTslnn31mlz5u3DgLSgPAHUbvRu3fv18WLVokt9xyi4UlAwAUxz+miQMAAMBO8+bNPZ7Y8t///lcuXrxol/7oo49K9erVPdp3SEiIPProo3bpiYmJcuDAgSK3PXnypHz//fd26RUrVjTcp7OaNGkiY8aMcXt7f1F44oFI/oSG+Ph4j/fdrVs36dq1q136woULPd735MmT3d62bt26EhMTY5f+559/Gr4Ib8To/01E5KmnnnL4wruvTJgwwTDd0a/mFcfffm3v4Ycf9mj7CxcuyJdffmmX3rhxY68c84QJEwwnpnzzzTdFblf45RMRMX0i8aZNm2Tv3r126SVLlpQXXnjBo32//PLLhukrVqwI2Ak3gchfz5EhQ4ZIkyZN3N7e0cTBP/74w+19esrR/VLt2rXNLYiI5Obmyvjx42XKlCmG7WpcXJwsXLjQJ5P2Atm2bdtk6NChkp2dbffZgAED5MMPP/RKPo7OmeLuyQEAAAAA8LXq1avLoEGDDD+bO3eu1/PLysqS+fPnG342duxYr+cHAACgis8//1wyMzN1aSVLlpShQ4daVCIArqpbt65cddVVdulz5syxoDQAAFfwi3sAAAB+yplfrSuOo8lW3hqcHDx4sOEkmfXr1xc5EeqXX34xnOByyy23SOnSpT0q08iRIx3+ml8gOHHihKxfv94uvWfPnh5NaLjS4MGD5bffftOlbdq0SXJycqRECfceMdq2bStt2rTxqFxt27a1m2Bx4cIFOX36tFStWrXIbffs2WP4y0alS5eWe++916NyuaN58+bSt29fu1+mWrJkiRw9elRq1arl9L7S0tLk888/t0uvUqWKkt+41axZM8OORlf88MMPkp6ebpc+cuRIt8/RK1WsWFF69eolP/zwgy7dKPauVLlyZbu07du3y5EjR0ybiFO4zJcNGjSo2DgpTqdOnaRVq1ayY8cOXXpubq6sXLlSRowY4dH+YQ5/PUdGjhzpUdkcfZv6vn37PNqvJw4ePGiYXqdOHVPLkZaWJsOHD5clS5bYfRYSEiLTp0+XJ554wtQyBYLDhw/LwIED5cKFC3afxcTEyFdffeWVNkvE8Tnj6BwDAAAAAMBMd999t3z33Xd26UuXLpVTp0553Cd1pe+++07OnDljl16mTBmv9V/u2rVLfvzxR/ntt99kz5498s8//8jFixclOztbypUrJzVr1pSmTZtKt27d5MYbb5RWrVp5JV8z/PPPP/L999/LunXrZNeuXXLo0CG5ePGi5OTkSLly5aR69erSuHFj6dKli1xzzTXStWtXCQkJMaVshw8flh9//FE2bNggSUlJcvDgQUlJSZGMjAwpXbq0lC9fXqpUqSLNmzeXli1bSs+ePaVnz54ejzvCP2zevFmWLVsmGzZskOTkZDl58qSkpaVJuXLlpEGDBnLPPffIgw8+6Na+VYr5o0ePyvfffy+JiYny559/yrFjx+TChQuSmpoqYWFhUrZs2YIy1a9fXxo1aiQdO3aUq666SurVq+fVsqh8vYAa/OUc2bFjh3zzzTeybt06SUpKkjNnzkhWVpZUqVJFqlatKq1bt5brrrtOBg4cKFWqVDG9fK745JNP7NL69u0rFSpUML8wili3bp189913smnTJtmzZ4+kpKRIdna2VKxYURo3bixdu3aVESNGSMeOHV3ab1JSknz11VeyYcMG2bFjh5w9e1YyMzOlatWqUqNGDenevbsMHTpUevXqJaGh6v/+jpnty5gxY4LiC9k9MWzYMLt3tpYvXy4nTpzw+Ev6AQA+pAEAAKBY9evX10TEZ39z5851Oe/169d7dExZWVlaeHi43X5jYmI82m9hTZo0scvjgQceKHKbxx9/3PCYf/zxR4/Lk5eXp9WsWdPleiisd+/edtvXr1/f4/J5uu9PP/3U8Njeeustr5RN0zRt3bp1hnls2rSp2G3nzp1ruG1cXJzH5Zo2bZrhvvfu3VvstrNmzTLc9pZbbvG4XO766quvDMv04osvurSfDz/80HA/kydP9lHJnTN16lTDct13330e73vcuHGG+/7rr7+8UPJ8Rudb+fLltdzcXIfb/Pe//zUsV//+/bX09HSvla0o1157rWEZ5s+f75X9/+tf/zLc//jx453afvTo0Ybbu8Ko3ezdu7cbR+ObffuyfJqmaatXr/aojVP9HHF0X3TixAmPy1ayZEm7/Y4cOdLj/brr7rvvNjzWZcuWeWX/+/fvN9z/1KlTC9Y5duyY1rFjR8P1SpcurX3xxRdeKctljtoGK/5Wr17t1WO7UkpKita6dWvDfOvXr68dPXrUq/kdOnTIMK+rrrrKq/kAAAAAAOCO7OxsrXr16obPrm+88YZX87r++usN87n99ts92m92drb2ySefaO3bt3e5D6JTp07at99+6/GxOdPX466ffvpJ69+/vxYSEuLSsTVo0ECbOXOmdunSJY/LYCQ3N1dbsGCB1qNHD5fLJiJaeHi4dvPNN2vLli0rsm//Su78PzsaG/P070p5eXlao0aN7NYpWbKkdvz4cU/+m+1kZGRoFStWtMurfPny2sWLF72alyOO/k8L9+ktXLjQqbgcPXq0S/mrEPNXWrVqlXbNNddooaGhbp9PDRs21J588klt+/btHpXF6uuFt66FKr0LYMY1pLBAblOcvX5s2bJF69+/v9PlCw8P15555hktNTXVo/L5yvbt2w3L/eGHH3q0X2f/P12Rm5urPfzwww7/rydMmKDl5OR4VJ7Fixdrbdu2dbp++/btq+3cubPYsm/YsEHr27ev0/vt2LGj9vvvv7v9f+VrKrUvKiv8joOr9xWuOnjwoOH/9euvv+7TfAEAnlF/qj4AAIDCVq9eLZqmefzn6rcFhYWFSbt27Twq+44dOyQjI8MuvUOHDh7tt7D69evbpW3durXIbTZt2mSY3qlTJ4/LExIS4vVjVMnmzZsN0715zEZ1KlJ8vRbF0/NZRKR8+fKG6efPny92W0f/bz169PCoTJ4YPHiw4a+wzZ49W/Ly8pzez/vvv2+XFhISIvfdd59H5fMVV7+tzohRfZYuXdqr32JqFAcXLlyQAwcOONymb9++hr+etHLlSmnbtq18/vnnkpmZ6bUyGnEUp126dPHK/h3t56+//vLK/uF7/niO1KxZU6pVq+b29pdFRkbapTnThvjKxYsXDdPDw8NNyT8pKUm6du0qW7ZssfusYsWKsnz5crn99ttNKcvo0aO9cs9t9OfovsZXsrKyZOjQobJ9+3a7zypVqiQ//PCD1KxZ06t5OjpnHJ1jAAAAAACYqUSJEjJq1CjDz+bNm+e1fI4dOyY//PCD4Wdjx451e7+//fabdOjQQe666y75888/Xd5+8+bNMnjwYLnhhhvk1KlTbpfDF06fPi3Dhw+Xvn37ysqVK0XTNJe2P3DggDz00EPStm1b+fXXX71atg0bNkinTp3ktttuk3Xr1rlcNhGRjIwMWbhwoQwcOFCmTJni1fKZLSQkRO6//3679OzsbJkzZ45X81qwYIGcO3fOLn3UqFFSrlw5r+blrtTUVLn55pvl5ptvdisui6JSzF+4cEFGjBgh/fr1kxUrVrg0fljY/v375eWXX5apU6e6tb3K1wuowV/OEU3T5MUXX5TY2FhZuXKl09tlZGTISy+9JO3atZP9+/f7rHzu+vLLLw3Tr7vuOpNLUrSMjAy59dZb5a233rL7LCQkROLj42XWrFkSFhbm1v6zsrLk7rvvlhtvvNGl91t++ukn6dSpk+GvRIuI5OXlyXPPPSfdunWTn376yen9btmyRa666iqvt9WeUql9gb169epJy5Yt7dIXLFhgQWkAAM5i4h4AAIAfqlWrlpQtW9ajfRi9LCwi0rx5c4/2W1jlypXt0s6cOVPkNrt27bJLq1u3rlSqVMkrZWrfvr1X9qMiM+rVqE5Fiq9Xd/bpioiICMN0Z15K3717t2G6tyaquKNEiRJy77332qUfOnRIli1b5tQ+/vjjD8NJbH379pXo6GiPy+gLTZo08Wj7vLw8SUpKMtyvux34RtyJg6pVq8pdd91l+NnevXtl5MiRUrNmTbnrrrvkv//9rxw7dswrZb0sLS1Njh8/bpceFRUlDRs29EoeMTExhul///23V/YP3/LXc8QbbYiIcTti5cSm9PR0w3QzJu79/PPP0r17d8PJyPXr15dff/1VevXq5fNyBJrLX9ixevVqu8/KlCkj3377rdfvxUUcnzNpaWlezwsAAAAAAHfcfffdhulbt26VP/74wyt5fPrpp5Kbm2uXXq9ePenfv79b+3zzzTelV69esm3bNk+LJ0uWLJFOnToZjpFZYefOndK5c2evvAC8Z88eufrqq+XDDz/0QslEXn31VenZs6ckJiZ6ZX8i4vMv1TPDuHHjpHTp0nbpH374oVsTGx0x+sJIETGcOGiFlJQU6dWrl3zzzTde37dKMX/u3Dnp37+/fPHFFx6XxVMqXy+gBn85R/Ly8uSuu+6SqVOnGt4zOGPfvn3Ss2dP2bdvn5dL55mlS5fapTVp0kTq1KljQWmMnT59Wvr27SsLFy60+6xUqVLy+eefy1NPPeX2/jMzM2XQoEEyd+5ct7ZPT0+XW265xW5iXm5urtx1113yr3/9y60Jbnl5eXLvvffK559/7la5vE2l9gWOXX311XZpmzZt8ui9LQCAbzFxDwAAwA9FRUV5vI9//vnHMP3xxx+XkJAQr/0Zdb4afQtjcZ83aNDAreM04q3JBypyVK9Vq1b1Wp06mjRaXL0WpUKFCm5ve1lISIhhujOdo47+36ye3HbfffcZ/kKbo0FRZ9dTZfDUiKfXtxMnTkhWVpZd+o4dO7x6bRs0aJBh/sXFwb///W/DX1K8cvtPP/1U7rjjDqlVq5ZER0fLqFGj5L333nM4wdRZjiYCNmzY0GH8uKpKlSqGdXjq1CnJzs72Sh7wHX89R7zRhogYtyOefIOkpxxN3CtTpoxP8/3hhx/k2muvNbyedejQQTZs2CAtWrTwaRkC1ZNPPmk40BkaGiqffvqpz37p19HEPUfnGAAAAAAAZmvRooVcddVVhp9561f3HO1n9OjREhrq+utTzzzzjEyaNElycnIcrhMSEiI1a9aU1q1bS+fOnaV+/fpSqlQph+sfOnRI+vbtKwcPHnS5PN60e/duufrqqw2/1OlK5cuXl+bNm0uHDh2kRo0aRf4/Zmdny3333SfvvfeeR2V7+OGH5Yknnijy/10k/wX/2rVrS4cOHSQmJkbq16/v8Zeiqq5y5cpy22232aXv379fli9f7pU8tm/fLuvXr7dL79q1q7Rp08YreXgiNzdXhg4davhLeKGhoVK9enVp06aNxMbGSuPGjV36wkfVYv7OO++UTZs2FblOmTJlJDo6WmJiYuSqq66SVq1aSZ06dYosk6tUvl5ADf50jjz44IPy2Wef2aWHhoZKzZo1pV27dhITE1PkWK+IyJEjR2TMmDFenTTtiVOnThl+2W+fPn3ML4wDe/fula5du8qGDRvsPqtQoYIsX75c7rjjDo/yGDNmjKxatcouvUyZMtKwYUPp3LmzNGvWrMhfj83JyZHbbrtNTp8+XZA2ceJEw0l3JUuWlLp160rHjh2lVatWRb4HkZeXJ+PHj5fDhw+7eFTep0r7gqIZTdzLy8tz+AvjAADr2b8BCgAAAOWVL1/e432cPHnSCyVxz9mzZx1+dunSJcNvtfTGMV8WGRnptX2pRtV6LY43fwnNHY7K7q3JIO6qWbOmDBkyRL766itd+tKlS+XIkSNFDgqkpqbK/Pnz7dKrV68uQ4YM8XZRvcbTWLcyBkSKj4Pq1avLkiVL5IYbbnCq433v3r2yd+/egkGimjVryuDBg2XkyJHSrVs3lyZTOZpU6M3r6+X9nT9/XpemaZpcuHDBa7+MBt/w13PE6jbEV0qWLGmYXtxLSZ7auHGjYfqAAQPkq6++cvgLtyjaO++8I6+++qrhZ6+//roMGzbMZ3k7mhTr6BwDAAAAAMAKY8eONXxZe/78+fLaa6959CLwxo0bJSkpyS49JCRExowZ4/L+3nrrLfn3v/9t+NnlL34bO3as9O7dW6pUqaL7PD09XVatWiWzZs0yfLH22LFjMmrUKFmzZo1bEwo9deHCBbnpppsc9rWXK1dOHnzwQRkxYoS0bdtW99nZs2flyy+/lLffflu2b99uuP2DDz4oTZs2lb59+7pcthdeeEFmzpzp8PPq1avLPffcIwMHDpSrrrrKrt8wLy9Pdu7cKb///rssXrxYli1bZsov7VWvXl26d+9esHz+/HnD/5/o6GipVq2aR3nFxcXJp59+apf+/vvvy4ABAzza9+X9GBk/frzH+/aGV199VdasWaNL69q1q4wfP14GDRpkF49paWmybNkyOXr0aJH7VS3mv/rqK1m2bJnhZ82aNZO4uDi57rrrJDo62nAcKScnR/bs2SNbt26V5cuXy5IlS9waX1P5ehFIzLyGeJs/nSOffPKJ3S+x9e7dW8aPHy/XXnutVKpUSffZoUOHZP78+RIfHy8XLlyw29/atWvlgw8+UOILdVeuXGk4idBXXyboqt9++01uuukm3WS4y+rXry9Lly6Vli1bepTH7Nmz5b///W/BckhIiAwfPlzGjh0rffr00d1nZmVlyerVq2Xq1KmGY2ZnzpyRZ555Rt5//3359NNP5d1339V9PmDAALn//vvlmmuu0Y2p5eXlyW+//SbTpk0zbA8uXrwojzzyiN27IWZSpX1B8Xr27GmY/uOPP8qdd95pcmkAAM7gF/cAAAD8kDdesrXyFzaKGgRLSUkxTPfmpAFv/GKhqqys10uXLlmWt6cyMjLs0iIiIgx/7c5sEyZMsEvLzc2V2bNnF7nd/Pnz5eLFi3bpd999t9Iv6ntaNqt/PciZOGjXrp1s2bJF7rjjDpd/xezYsWPy3nvvSY8ePaRVq1aSkJDg9Lc1Orr2evua6Gh//nyNCBacI2px9I2eRm2WGY4ePSppaWmW5O3vFi1aJA899JDhZ48++qg88sgjPs3f0TlT1LfGAgAAAABgtttvv93wF9HOnDkjixcv9mjfhV/Ev6x3797SqFEjl/b122+/yWOPPWb4WcuWLeWPP/6Q77//Xm655Ra7CTwiImXLlpUbb7xRli1bJosXLzYc/1q7dq1Mnz7dpXJ5y6OPPip79uwx/KxXr17/3959R1dRrf8f/ySEkkASaoDQpGkoYuiCECAQDEhvIiCEIgL3YrsWikhVUL7eawUpShO9IlWQJkEIvUpRuvQYCEKIIUBCyu8Pf3CNMwdyciY5J8n7tZZr6bNn9jwkU3D2PHvr559/1pQpUwwFFpJUtGhRPf/889q3b59Gjx5t+v47OTlZffr0MS1yuJ+1a9dq3Lhxpm0eHh4aM2aMTp06pUmTJumJJ54wnezL3d1dNWvW1IABA7Rs2TJFR0fr008/VYUKFezKxV5t2rTR1q1b7/3z8ccfm243atSoNNs96B8zjz/+uGrXrm2Ir1y5UlFRUQ79OW7evGlaFFikSBHTlf6cYd26dff+3dPTUwsWLND27dvVt29f0+uxYMGC6tatm813d5JrXvOffvqpaXzUqFE6cuSIXnjhBT388MM2x6A8PDxUvXp19ezZU1988YWioqK0ceNGdejQwa6J8lz1fpHTZOU9xGrZ6Rz5698VfH19tXz5cm3atEk9e/Y0FO1JUvny5TVixAj98ssvqlq1qmmf//73vx3OywpmEyNIf45ZO9vSpUvVsmVL06K92rVra8eOHQ4X7UlKsyKev7+/tm3bpq+//lqtW7c2TA6RL18+Pfnkk9qxY4cGDRpk2t/cuXN1+PBhvfjii/divr6++u6777R27Vp17tzZMBGmu7u7nnjiCa1Zs8bm32mWLl3q1JWXXeX5ggfz8/NTyZIlDXFb1zsAwPko3AMAAMilMnu1FjgHv9eMMXuxmN5iqMwWHBysgIAAQ3z27NlKTk62ud/MmTMNMTc3Nz333HOW5udqsss14Ofnp6+++kr79+/XoEGDMlScfPToUfXs2VPNmzd/4Gyw92P1ue4q1w6swzniHGYfqkmZX7j32GOPmc7sfPjwYTVr1ixdq4Xif3bs2KFevXopJSXF0NajRw/93//9X6bnQOEeAAAAACA78PHxUdeuXU3bbBXepcft27f1zTffmLYNGDDArr7u3LmjgQMHmr6bb9OmjXbv3q3AwMB099euXTtFRESYTnQ1YcKELF+hZM+ePfriiy9M25o2baq1a9fqoYceemA/+fLl06RJk2y+94iKitLYsWPTnVd8fLzND+c9PT21bNkyTZgwwfCB/IP4+Pho2LBhOnXqlOkkitnVsGHDDLGkpCSbv9v0+uabbxQbG2uI9+3bVwUKFHCob6sVLFhQa9asUZ8+fRzqxxWv+atXr2rLli2GeM+ePfX2229naKVOd3d3tWjRQitWrNDnn3+ern1c9X4B15FdzxE/Pz9t2bJFHTt2TNf2ZcuW1fr1603HdE6cOGF6vWa1PXv2GGIeHh6qVq2aE7L5nw8++EDdu3c3HcMIDQ1VRESESpcubekxK1SooG3btqlRo0YP3NbNzU0zZsxQ/fr1DW2JiYlq3ry5YmJiJP1ZaLp582a1b98+XXmMHTtWnTp1MsRTU1M1f/78dPVhNVd5viD9zIpvT506ZXPCfACAczl/+QgAAAA4ha0BlKpVq8rPzy+Ls/mfwoULm8atnEkvJ8/KV6BAAdMVx5544olMP/bDDz+c6cfILAUKFDCsThcfH6+kpCSXWXXvr7O1SdLFixe1evVq05e/e/fu1f79+w3x1q1bq2LFipmWpyuwdW/z8fHRo48+munHN5vV7H4CAwM1a9Ysffzxx4qIiNDGjRu1efNm7du3T3fu3ElXHxEREapXr5527typ8uXL29wuf/78pnGr74m2+nO1gXsYcY64lmLFipnGzT6OsVKnTp302muvqV+/foYPUo4fP66goCCFh4fn+OeJFU6ePKkOHTqYDjoHBQVp/vz5dq+8mhG2zhmzWYIBAAAAAHCmAQMGmK7otW7dOl26dEmlSpWyu89ly5aZfrx6v0JBWz7//HMdPXrUEK9du7a+/fbbDE2S89hjj2nmzJl6+umn08QTEhI0ffr0LC1YmThxoumkW2XLltXKlSvl6elpV3+vvPKKjh8/bjrR4IwZMzRixIh0vVP/4IMPFBkZaYi7ublp6dKlCg0NtSuvv/Pw8NAjjzziUB+upFevXnr11VcN74RmzZqlkSNHZujDe+nP35mZ559/PkP9Zab3339fzZo1c7gfV7zmjx07ZlpI+PLLL9udi5n0FsC66v0CriM7niNubm6aP3++3WPKDz30kF5//XXTVdSWLVumpk2bOpSXI5KTk3XgwAFDvGrVqjbHBTNbSkqKXnnlFX344Yem7YMGDdL06dMt/04jT548+uqrr9JVMHqXu7u7Jk+erFatWhnarl27du/fZ86cafcKhu+++66WL19uiC9dulRjxoyxqy8ruMrzxVX9+OOPOn78uGnb3+PHjx/XZ599Zrqtv7+/OnToYElOtWrV0vr169PEUlNTtXfvXtNzFgDgXM7/AhUAAABOYTaTnyQNHz5cw4cPz+Js/qdAgQLKnz+/EhIS0sRzU+He/VZRexBfX1/Twr01a9bI29vbkbRytGLFihkK9yTp+vXrKl68uBMySqtfv34aNWqU4uPj08RnzJhhWrhna/B0yJAhmZKfK7F1b6tSpYq2bt2axdmkX4ECBdS6dWu1bt1a0p+rI+3evVsRERH3/klMTLS5f1RUlDp06KB9+/YpT548ptsUKVLENJ4VRVlubm42fzfZiSP35+yAc8S1VKhQwTRu9pGS1Xr37i1PT08988wzhnvPmTNn1LRpU4WHh+eoD5qsFh0drdDQUP3++++GturVq2v58uVZNihu65yxZ3AaAAAAAICs0KxZM1WuXFm//vprmnhSUpIWLFig1157ze4+ba3W9/TTT5uujmNLamqq3nvvPUPc3d1dc+fOdWhl+x49emj27Nn64Ycf0sSnT5+ukSNHKl++fBnuO70uXLigVatWmba9//77GX53N2XKFC1dutTwjuTWrVuaO3eu3njjjfvun5iYaPPD/n/+858OF+3lRF5eXurXr58++uijNPFz585p3bp1atOmjd19Hjx4ULt27TLEg4KCnL5i0981btxYgwcPdrgfV73mL126ZBqvWbNmhvOxl6veL+A6sus58uyzz+rJJ5/M0L4DBgzQ+PHjDcWK+/btcygnR509e9Z0ckFnTc5469Yt9enTR0uXLjVtnzBhQqYVrQ0ePFiNGze2e7/g4GCVLl1aUVFRpu1PPfWU3ZNBSH9OjF2/fn3Dioi//PKLEhMTs+Tvf3/lCs8XVzZv3jzNmzcvXdvu3LlTO3fuNG1r1qyZZYV7tsb5jh49SuEeALigjE2hAwAAgGyvXLlypvGrV69mcSZGZoUDZ8+etaz/M2fOONyH2eooZjPGZURMTEyG93Xl36srs/VzO3nyZBZnYs7X11e9evUyxNeuXasLFy6kif3xxx/6+uuvDdv6+/urXbt2mZajq8gp14Cnp6eaNWumMWPG6IcfftDVq1e1aNGi+75gPXjw4H1fFvv7+5vGz5w5Y9n96/fffzdd2alEiRJZtnqlq96fs4Pcco5kF7YGWy5evJglx+/SpYuWL19uuhJiZGSkgoKCdPjw4SzJJbuJj4/XU089pdOnTxva/P39tWbNGpuFspnB1jljqzgUAAAAAABncXNzU1hYmGnb3Llz7e7v4sWLCg8PN20bMGCAXX2Fh4ebji/16dNHtWrVsju3v3v11VcNscuXL2v79u0O950e//3vf03fAQYGBqpHjx4Z7rdIkSI2Cym+/PLLB+6/fPlyXblyxRAvXLiwJk+enOG8crqhQ4eaxm1N/Pgg2Wm1veHDh5uOE9jLVa/5pKQk0/j9Jn+0mqveL+A6sus5YnZdple5cuVUu3ZtQ/zAgQOWjbFlhK3vbMqUKZO1iejPMcLg4GDTor28efNq3rx5mVa05+bmphdffDHD+95vjP6ll17KYFYyLRS9c+eOfv755wz3mVGu8HyBfWxdx1Z+XwcAsA6FewAAALmUrRVSsupj8PsJCAgwxC5cuKBr165Z0v+BAwcc7sNsFsW/r4aWUY78OV359+rKzM45STZnwXKGYcOGGWLJycmaPXt2mtjChQtNz8WBAwfmiqIYT09P0+K9y5cv23zZnB0UKlRI3bt31w8//KBNmzapVKlSptvZmj1a+nOW3dKlSxvisbGxlhQ0S7bvr1WrVrWk//TIrPtzQkKCZfd5V5VbzpHsolKlSqbxrHymt2nTRqtXr1ahQoUMbdHR0WrevLn27t2bZflkB8nJyXr66adNfy7e3t5avXq1ypcvn6U52TpnbJ1jAAAAAAA4U1hYmNzdjZ8zHTlyRLt377arr3nz5iklJcUQr1atmh5//HG7+rK1Mkz//v3t6seWli1bmr6DyarCvbVr15rG+/Xr53Dfffr0UZ48eQzxn3/+Wb/99tt9912+fLlpvH///g6teJbTBQQEKDg42BD//vvvH/gz/7v4+HgtXLjQEC9evHiGVhjKTL6+vurcubMlfbnqNV+sWDHTuK1rODO46v0CriM7niO1atXSo48+6khqpkW9f/zxh2GFwKx07tw503jZsmWzNI9Tp06pUaNGpt9f+Pj4aM2aNerbt2+mHb927do2v6VJj+rVq5vGixcv7tDKZrb6/fvq01nBFZ4vsI+t69jWdQ8AcC4K9wAAAHKpevXqmc42GBER4YRs0mrQoIFp3IoPw1NTU7V//36H+/H19TXE4uLiHO43OjpaUVFRGd7f1s/OFX6vrqxevXqm8a1bt2ZxJrYFBgaqUaNGhvjnn3+u5OTke/9tNutpnjx59Nxzz2Vqfq7E7Dq4ffu23R91uKpmzZrpu+++M/14ZefOnfctLrM1C6xVP5tdu3aZxh977DFL+k8Ps/vzH3/84XC/Bw8edLiP7CA3nCPZRfXq1ZU/f35D/MiRI1maR4sWLbR+/XrTa+vatWtq2bKltm3blqU5ubKhQ4fq+++/N8Tz5s2rJUuWOOVct3XOmM3+CwAAAACAs5UtW1YhISGmbfauumdr+4wU3qxfv94QK168uIKCguzuy0yePHlMiwmzonAvOTlZO3bsMG17+umnHe6/VKlSat68uWnbli1b7ruvVSsm5kZmE0ImJSXp888/t6ufr7/+2vQde1hYmOn7S2dq2LChZTm56jVfs2ZN0/hrr71m2QR89+PK9wu4hux6jjRp0iTD+95VpUoV07gV45QZFRkZaRr38/PLshx27NihRo0a6dSpU4a2smXLauvWrWrZsmWm5tC4cWOH9n/ooYdM42bfb9ijYsWKpvHY2FiH+s0IZz9fXN3cuXOVmprq8D+bNm2yLKeSJUuaxm1d9wAA56JwDwAAIJfy8fExLW45efKkzp8/74SM/sdW8dnixYsd7nvr1q0OFcbdZfbxemJiosM/O0c/fLc1m9eGDRsc6jens/URwPfff68rV65kcTa2DR061BCLjIzUqlWrJP1ZEGNWXNSmTRvTVehyqtxwHdSvX18tWrQwxJOSku67GlfTpk1N44sWLbIkr2+++cau42YGs/vzuXPnHF5x0arCJLOPBhITEy3p2wq54RzJLvLmzWtaSHn06NEsX0G0UaNG2rhxo4oXL25o++OPP/Tkk0/a/IgqN5k4caJmzZpl2jZ79mybf9/IbIcOHTLEvL29HZpdFgAAAACAzGSrKOvrr79WQkJCuvrYunWr6QfiHh4edq/oEhMTY7ryyWOPPWY6wVpGVahQwRAz+/96q506dUq3bt0yxMuVK6fSpUtbcoyGDRuaxu83YdqFCxcUHR1tiBcuXFg1atSwJK+crGPHjipTpowhPnv2bNOVKG0xmzDSzc1NgwcPdii/zFC3bl1L+nHla75UqVKmk4NdvHhRtWvX1pQpU3T16lXLcvw7V71fwHVk13PEikn3fHx8TOPOKMK668aNG6ZxT0/PLDn+0qVL1bJlS9NVB2vVqqWdO3c6vNJhejj6+zVbIVWyPSGqo/0645xx9vMF9rN1Hdu67gEAzkXhHgAAQC7WtWtX0/h//vOfLM4kraZNm8rDw8MQX7JkSboHZG1ZuHChQ/vfZWvmK0cHDBYsWODQ/gEBAapevbohvmnTJh04cMChvnOySpUqmb4QTkhI0OzZs52QkbkePXqYFk3MnDlTkvngqSQ9//zzmZqXq+nUqZPy5MljiH/22We6ffu2EzLKHIGBgabxa9eu2dwnNDTUNL569er77pceP/30kw4fPmyIe3h42CymzAxm9+fExEQdPXrUoX4dvT/fZTZod79VErNabjhHspP69esbYomJiTp27FiW51KnTh1t2rRJpUqVMrTFx8frqaeeuldInhvNmzdPb731lmnbpEmT7P4g0CqJiYk6fvy4IV63bl1LPzICAAAAAMBKHTt2VNGiRQ3x69eva/ny5enqY86cOabxNm3a2FydwpZffvnFNB4QEGBXPw9SrFgxQywrPpA2K3CUpNq1a1t2DFt9mRVH3WX2TkP6cwJQNzc3S/LKyTw8PPTcc88Z4ufPn9eaNWvS1cf+/fu1d+9eQzw4OFhVq1Z1OEer2Vrtyl6ufs3/61//Mo3HxsZq5MiR8vf3V9u2bTV9+nTL3yW76v0CriO7niNm16O9bBVhObOI5ubNm6bxrCjc++CDD9S9e3fTQs5WrVppy5YtpgXmmcHs75X2KFiwYJb266yxY2c+X2A/W9exK317AAD4H77OAAAAyMXCwsJMV/6ZMWOGLly44ISM/uTn56d27doZ4teuXdMHH3yQ4X5Pnz6tuXPnZjyxv7A1Y+PKlSsz3OfJkye1YsWKDO9/15AhQwyx1NRUjRkzxuG+c7JBgwaZxqdMmeL0VSjvyp8/v+lMw2vXrtWhQ4dMV7IqX7682rZtmxXpuYxSpUqpY8eOhnhUVJQ+/fRTJ2SUOWzNiFu4cGGb+9StW1cPP/ywIZ6QkKDx48c7lM/IkSNN461btzYtOM0smXF/Dg8P108//ZTh/f/KrHDPmc/cv8sN50h20rx5c9O42ccyWaFGjRqKiIhQ+fLlDW0JCQnq0qWLJSskZzc//PCD6UdQ0p/F86NHj87ijP7n0KFDunPnjiHerFkzJ2QDAAAAAED65M+fX7179zZtS884z82bN/Xtt9+attlaze9+bL2/+/TTT+Xm5mbZP++9957pnyUxMdHunO0RFRVlGq9UqZJlx7BVUPXbb7/Z3MfWz90VC8Zc1eDBg00nS7U1EWR6t3PVCSN9fX0t6cfVr/nevXurdevWNtsTExO1Zs0aDRs2TNWqVVPJkiXVsWNHvfvuu9q1a5eSkpLs+4H8haveL+A6sus5cr/x1fSyVVRuzyqnVrNVuFegQIFMPe7YsWP18ssvm/7Z+/btq9WrV9tcoTAzOPp8sPW7zax+nXXOOPP5AvvZKtyzdd0DAJyLwj0AAIBcrESJEqYfGd+6dUudOnVy6v/M2/r4+e2331ZkZGSG+nzppZccXrHvrjp16pi+RFu8eLFiY2Pt7i8pKUlhYWGWvIAbMGCA6Wo4q1at0pQpUxzuP6fq37+/aeHIH3/8oX79+rnMS8YhQ4YYVshJSUlR586dTa/ZQYMG5coVdUaOHGl6jY4aNUoRERFOyMh6+/btM40/aGbCYcOGmcanTZuW4ZU5lyxZonXr1pm2/eMf/8hQnxlVr1490/i8efMydB3HxcVZ+hGC2WBiTEyMTp8+bdkxHJXTz5HsJCQkxHQF0U2bNmV9Mv9f1apVFRERocqVKxva7ty5o549e2r+/PlOyMw5Dhw4oK5du5oWx7Vv397pBeM//vijabxNmzZZnAkAAAAAAPaxVWC3fv36B44TLV68WHFxcYa4rYkjHyQ6Otrufax07dq1TO0/JibGNG7lB/W2+rp+/brNfWz9uYsUKWJFSrlC6dKl1alTJ0N89erVD7yO4uLi9NVXXxniJUuWNO3TFVh1zrr6Ne/u7q5vvvlGTZs2TVd/0dHR+u677zRixAg9/vjjKlq0qLp27aqlS5faPXbuqvcLuI7seo6YjcXkBHnz5jWNZ/a3D7bG40ePHq158+bZzCuzZNbvN6edN858vsB+ZmOTku3rHgDgXLnv600AAACkMXbsWBUrVswQ379/vzp27Kjff//dkuOkpqZq1apVpjMHmgkNDVX16tUN8bi4OLVt29bu4rhRo0Y5tNrS3xUuXFjBwcGGeExMjEaNGmVXXykpKfrnP/+p7du3W5JbwYIFNXnyZNO2UaNGObRq4d/FxMTo3Xff1datWy3r01m8vb01duxY07ZNmzapc+fOunXrlkPHOHnypMMz41asWFGhoaGGuFnRj4eHhwYOHOjQ8bKrevXqqW/fvoZ4YmKiOnfurI0bN1p2rFOnTmn48OGmH4L8VYcOHTRv3jybL1DtsXnzZm3ZssUQDwwMfODA13PPPafSpUsb4klJSWrXrp3OnTtnVy67du1Sv379TNvq16+f5Ss+Pvroo6bFcSdOnNB//vMfu/q6ffu2evfurV9//dWq9FS7dm3T+OzZsy07hqNy+jmSnRQuXFiNGjUyxG0VY2WVChUqaMuWLapWrZqhLTk5WWFhYfrss8+ckFnWOnfunNq2bWt6/2/QoIH++9//On3Q1uxcKV68uOrXr++EbAAAAAAASL/AwEDTd2kpKSlasGDBffedM2eOabxPnz6mq489iLNXrbh9+3am9m/rw2qrVi+7X1/3+7PZGpOxYlWk3GTo0KGGWHJy8gPfSX/11Ve6ceOGIT5gwACX/SDcqryywzVfuHBhhYeHa8yYMfLy8rKr/7i4OC1dulRdu3ZVmTJlNGXKFMXHx6drX1e9X8B1cI64loIFC5rGHf3uIaNOnz7tMhMmw5yzni+wn63r2NZ1DwBwLgr3AAAAcrnixYtr5syZpm0bNmxQYGCgVqxYodTU1Az1f/78eX3wwQcKCAhQ+/bt012c5u7urhkzZpiumHXo0CGFhITo5MmTD+zn9u3bevnll20WsjnC1myv06ZN09SpU9PVx5UrV9StWzfNmDHDytQUFhamDh06GOKpqal6+eWX1bFjR506dSpDfaekpGjr1q36xz/+oXLlymnEiBGWFXg627Bhw9SkSRPTtlWrVqlp06basWOH3f0eOHBAffr0UbVq1SwZ7LO1GtbftW/fXv7+/g4fL7v64IMPVL58eUP82rVrCgkJ0ahRo2zO+vggN2/e1PLly9WpUyc98sgj+uSTT5ScnHzffQ4dOqSwsDBVrFhR48eP19GjRzN07I0bN6pr166m9+VevXo9cH8vLy/9+9//Nm2LjIxUixYt0l2Mu2TJErVt29b0hbu7u7umTZuWrn6s5Obmpv79+5u2jRw5Ul9//XW6+jl79qxCQkIsLfqWpObNm5vG33vvPY0ePVoXLlyw9HgZkdPPkezG7Hl+/vx5SwtKM6J06dLavHmzAgMDDW2pqakaOnSo3cWy2U2bNm0UFRVliFeuXFmrVq2ye0DTanfu3DG9Vtu2bZsrV+MFAAAAAGQ/tsZh5s6da3OfM2fOaPPmzXb19yC59QPzjI4NWtWX2RhhRvvKzYKDgxUQEGCIz549+77jGmbjx25ubnruuecszc8VZZdrPm/evJowYYJ+/fVXvfnmm6ZjYg9y9epVjRw5UtWqVcvQGOhdzr5fwPVxjjiHrXGKzC7cszWR6ddff60ePXo4PNkxMpcrPV9gG4V7AJC92D+NFAAAAHKcLl26aMyYMZo4caKhLTIy8l5hysCBAxUUFKQ6deqYzliYmpqq06dP6+DBg9q/f79Wr16tn376KcN5NWnSRM8995zpwNCePXv02GOP6Z///Kf69OmjWrVqpWn//ffftWjRIn344Yc6ceJEmrb+/fvbnG3VHl26dFHFihV15swZQ9vrr7+udevWaeTIkQoKCkrz80pNTdW+ffu0bNkyffzxx2lWaalZs6a8vLy0e/duh/ObP3++mjZtqsOHDxvavvvuO61atUodOnRQly5d1KRJE1WsWNG0n1u3bumXX37RgQMHtGPHDq1atUrR0dEO5+eK3N3d9c0336hBgwaKjIw0tO/bt0+NGzdW+/bt1a1bN4WGhsrPz8+wXWxsrPbt26eIiAh98803OnbsmKV5tmnTxua591fPP/+8pcfNbgoXLqwVK1aoWbNm+uOPP9K0paSkaPLkyfroo4/Ut29fhYaG6oknnjBdgVT6s9jv0KFDOnDggDZt2qT169dneEAjMjJS48aN07hx41SjRg21a9dO9evXV926dfXQQw+Z7hMTE6ONGzdq/vz5+u6770y3qVChgoYMGZKuHHr27KlVq1Zp4cKFhrYzZ84oKChIzz77rPr166fmzZunKfBITEzU2rVrNWvWLK1atcrmMcaPH6969eqlKx+rDRo0SFOnTtX169fTxJOTk9WrVy8tX75cL730kho2bJjmz5aUlKQdO3Zo0aJFmjlzZppBo5CQEB07dszhwrqAgAA98cQT2rZtmyG3d955R++88478/Pzk7+8vLy8v049TRo8erTZt2jiUx4Pk9HMkO3nmmWc0YsQIpaSkpIkvX75c//rXv5yU1Z9KlCihH3/8UaGhodq1a5eh/ZVXXlF8fLzefPNNJ2SX+e5XgN25c2dLj5WR6z48PNx0NcA+ffpYlRYAAAAAAJmqd+/eevXVVw2r9xw/flw7duxQo0aNDPvMnTvX9IP+Bg0aqEaNGhnKo0CBAqbxcuXKZehDZquOb5X8+fObxv/+Xt0Rtvq635/NVtvf3/viwYYOHaoXX3wxTezixYtavXq12rdvb9h+79692r9/vyHeunVrm+OJOUl2u+ZLlSqliRMnasKECdq7d6/Cw8O1adMm7dixI93X8YULFxQUFKTvvvvuvu8hXfV+AdfBOeJabI19x8bGZupx33//fX377beaPn26oW3ZsmXq2LGjli5dKk9Pz0zNA47JyucL7GfrOi5atGgWZwIASA8K9wAAACBJmjBhgm7duqX/+7//M20/fvy4Xn/9dUl/vmwtUaKEihQpIi8vL8XFxen69euKiYmxfGau999/X7t379aBAwcMbbdu3dLUqVM1depU+fr6qkyZMipQoIB+++03RUdHGz5wl/4stuvbt68lhXsFChTQrFmz1KpVK9P28PBwhYeHq2DBgipXrpx8fHwUExOjS5cumX5EXbRoUS1evNiyYitfX1+tW7dOTz75pGnxXkpKipYvX67ly5ff275YsWIqWrSoUlNTFRsbq9jYWF27du2BK4nlJP7+/lq3bp1atmypy5cvm26zcuVKrVy5Um5ubipatKhKlCghX19fxcXF6dq1a7p8+XKmzvTn7u6u559/XiNGjLC5TcWKFdW6detMyyG7CAwM1Pfff6/27dubDubHx8dr+vTpmj59utzc3FS8eHEVLVpUhQsX1u3btxUbG6vr169n2ocAv/zyi3755Zd7/12wYEEVLVpURYsWlaenp27evKnLly/bPBfv8vDw0BdffCFvb+90H3vmzJk6d+6c6WpMqampmj9/vubPny9PT0/5+/uraNGiunLliqKiogwfyvxdnz59NHr06HTnYjU/Pz+9//77GjhwoGn7okWLtGjRonvPjkKFCun333/XpUuXTFfFfOihh/Tll1+qQYMGluQ3YcIEhYSEmD6nJCk6Ovq+BdIPOh+skpPPkeykbNmyatGihcLDw9PEFy9e7PTCPenPIukNGzaoXbt2prPZjxkzRvHx8Zmy+rGr+vXXXy1fETEj1/3ixYsNsTJlyqhly5ZWpAQAAAAAQKYrUqSIOnbsqEWLFhna5syZYyjcu/vOykz//v0znIevr69pvHv37nr//fcz3K+rKFKkiGk8K4osbB1bsl1sQOGe/fr166dRo0YpPj4+TXzGjBmmhXszZsww7Se9kwdmd9n1mndzc1P9+vVVv379e5PBHTp0SFu2bNGWLVu0YcMGxcTE2Nw/KSlJTz/9tA4ePGizQNNV7xfZSU4fd+cccS0VKlQwjZtNYmwlNzc3TZs2TQULFjT9Bmnt2rVq27atVq5cqUKFCmVqLnBcVjxfYD9b17GtyaIBAM7l/uBNAAAAkFtMnTpV06ZNe+BMZAkJCbp48aIOHz6sXbt26ciRI/rtt98sL9qTpEKFCmn16tUPnAU1NjZWR44c0f79+3Xp0iXTYohGjRppwYIFlubXsmXLB64iEx8fr2PHjmn37t06efKkadFe4cKFtXr1aj3yyCOW5le6dGlt2bJFHTp0eOC2sbGxOn36tPbu3at9+/bp1KlTunLlSo4fPDBTo0YNbd26VTVr1rzvdqmpqbp69aqOHTt271q4dOlSphbt3TVgwACbMxZK0uDBg01X6sqNmjRpoq1bt6patWr33S41NVVXrlzR8ePHtWvXLh08eFBnz57N0o8A4uPjdeHCBR08eFA7d+7UoUOHHlis4enpqWXLlik4ONiuY3l5een7779XSEjIfbe7deuWfv31V+3Zs0dnz559YEHWoEGDNHfuXKeffwMGDNCzzz57323uPjt2796t06dPmxbtlS1bVhs2bDBdXTOjgoODNWXKFKf/jB4kp58j2Um/fv0MsV27dunixYtOyMaoUKFCWrNmjZ588knT9ilTpujFF1/Mkucj/pSUlKQVK1YY4n369EmzQiYAAAAAAK5uwIABpvFFixYZxqV+/PFHnT171rCtp6ennnnmmQznUK5cOdP41atXM9ynK/H39zeNnz592rJjnDp1yjReunRpm/vY+rmfPHnSkpxyE19fX/Xq1csQX7t2rS5cuJAm9scff+jrr782bOvv76927dplWo6uJKdc8+7u7goMDNTw4cO1aNEiRUdH68cff1Tfvn1tfg8QFxensWPH2uzTVe8XVjMbv7Dq/fb9iltygtxyjmQXtgp4smp8aerUqXrrrbdM2zZt2qSQkBAK8rOhzHi+wH62rmNbBbsAAOfiKw0AAACkMXToUO3du1ctWrSwvO9atWqpZ8+edu9XunRpRURE6Kmnnsrwsbt06aINGzbIy8srw33YMnHiRL3zzjsZ3j8gIEA7duxQw4YNLczqf3x9fbVixQp9/vnnKlmypKV958uXT126dFGtWrUs7dcVVKlSRbt27dLLL78sDw9rFiv38vKyrK8SJUqoW7dupm158+Z1aPbgnKhGjRrat2+f3njjjfsWPGZE0aJFNWzYsAfeX+xZDS+96tWrpy1btmR4sNzHx0dr1qzR2LFjlS9fPody8fX11axZszRr1izlyZPHob6sMm/ePA0dOjTD+zdu3Fi7d+9W5cqVLczqT6+99pp++OEHl79/5vRzJLvo3r27SpQokSaWmpqqr776ykkZGXl6euq7775Tp06dTNs/+ugjDR482OZKk7DWunXr9Pvvv6eJ5cmTx7KVnQEAAAAAyCohISGmRTSxsbFaunRpmticOXNM++jSpYvNFbTSw9aki64yqZKjqlSpYhr/6aefLDvGgQMHTONVq1a1uU9AQIBpfPfu3UwQlQHDhg0zxJKTkzV79uw0sYULFxpW5pOkgQMHWjbG5epy6jXv4eGh5s2ba968eTpy5IgaN25sut2iRYtMJzqUXPd+YbWCBQsaYmbXRUZcu3bNkn5cVW45R7ILW6ubZeX9bPz48XrvvfdM23bu3Kng4GDDeAayFyueL7Cfreu4UqVKWZwJACA9KNwDAACAQY0aNbRx40b98MMP6tChg/LmzZuhftzd3VWnTh298cYbOnDggA4ePJihwj3pz8KYlStX6ssvv7T5ctFM1apV9dVXX2nJkiWZUrR318iRI7V9+3Y1atQo3fsUKVJE48eP14EDB2wOPlppwIABOnXqlD788ENVr149w/14e3vrqaee0rRp0xQVFaUlS5bk2Bc/Xl5e+ve//61ffvlFzz33nAoVKmR3H25ubqpTp44++ugjRUZGZqgPW9q2bWsa79Spk+VFmjmBp6enpkyZopMnT+r11193aAW10qVLq0+fPlqyZImioqL06aefPrCo6cCBA9qyZYtGjBih2rVrO1S41LhxY82dO1e7du1S3bp1M9yP9Gchx7hx4/Tzzz+rf//+D1x19e98fX31yiuv6Pjx4xo0aJBDuVjNzc1N06ZN06pVq+y67/n7++vjjz/Wli1bMnV2zpYtW+rgwYPav3+/3n77bfXo0UM1a9ZU6dKl5e3t7TKrYuXkcyS7KFCggOmHNbNmzXKpj5Ty5cunb7/91nT2bkmaPXu2nn32WSUlJWVxZrnPjBkzDLHOnTvb9fdoAAAAAABcgbu7u/r162faNnfu3Hv/HhcXZyjku8vRie4qVaqkYsWKGeI7d+7UnTt3HOrbFVSpUsV0DO3ChQu6dOmSJcfYtWuXafyxxx6zuU+ZMmVUqlQpQ/z69ev6+eefLckrNwkMDDQdx/z888+VnJx877/N3ivlyZNHzz33XKbm50py+jUv/VnMs2bNGpUpU8bQlpCQoK1bt5ru56r3C6uZFXvHxcU53G90dLSioqIc7seV5ZZzJLsoXLiw6bjA0aNHszSP1157TZ988onpapY//fSTmjdvbtn5AefK6PMF9jty5IhpvHbt2lmcCQAgPXLHNDgAAAAOOnv2bK48dqtWrdSqVSvFxsZq3bp12rFjhw4fPqyzZ8/qypUrunnzptzc3OTt7S1vb28VL15cjzzyiAICAlSzZk0FBQWZDmpklJubm3r37q1nnnlGa9eu1apVq7Rnzx79+uuviouLk4eHh3x9fVW1alXVrVtX7dq1U3BwcJYVPjRq1Ejbt2/X7t27tWbNGm3cuFGRkZH3flaFChVSuXLlFBgYqNDQUHXo0MG0iGvTpk2ZlmOhQoX0wgsv6IUXXtCxY8f0ww8/aM+ePTp+/LguXryo69ev6/bt28qfP798fHzk7e2tsmXLqlq1agoICFDdunXVsGHDDM+oGRYWprCwMGv/UFnQ98MPP6yZM2fqww8/1Pr16xUREaEDBw7ozJkzunLlim7duiUPDw95e3vL19dXVapUuffzat26daYV0S1ZssQ0PmTIkEw5npXGjRuncePGOeXY5cqV07vvvqvJkydr+/bt2rx5s/bt26fTp08rMjJSN27cUGJiogoWLHjvd1qpUiUFBASoWrVqatSoUYaKX/PkyaMmTZqoSZMmmjx5suLj47V7927t2bNHJ06c0KlTp3T+/Hn98ccfunHjhlJSUuTt7S0fHx+VLl1ajz32mAIDA9W6detMKbyoWrWqvvjiC33wwQdatWqVIiIidPDgQZ07d07Xr19XQkKCChQooKJFi6pSpUqqXbu2WrRoodDQUMtWMZw7d26aj22s8tRTTyk0NFRbt27VmjVrFBERoUuXLunKlStKSEiQt7e3KlasqDp16qht27Zq27ataSFmZj2Ta9eubdkL9ObNm2daIZcrnCOZ+fciZ/6dKz2GDRumd999V7dv374XO3XqlDZu3KiWLVva3d9DDz2UKeeKh4eHFi5cqIULF9q9rzOeDY783l2paPKvIiMjtXr1akP8X//6lxOyAQAAAADAcf3799fbb79t+H/xjRs36sKFCypXrpy++eYb0xU8HnroIQUHBzucQ6tWrfTNN9+kicXHx2vHjh0KCgpyuH9ncnd3V+PGjbVhwwZD26JFi/TCCy841H90dLTNsa+mTZved9+QkBAtWLDAEJ8zZ47+/e9/O5SXs9h6V5qYmJjpxx46dKh27NiRJhYZGalVq1apY8eO2rVrlw4ePGjYr02bNqYrX+ZkOfmav8vHx0dDhgzRmDFjDG1nzpwx3ceV7xdWMivcS0xM1Pnz51W+fPkM97tt2zZH0pLk3HtIeuSWcyQ7qVevnuGavn79usPns73+8Y9/yMvLS4MGDVJKSkqatl9++UVBQUHasGFDluaEzJGR5wvsd+jQIUPM29vb5srBAADnonAPAAAAD+Tr66sePXqoR48ezk5F0p8ve+8WVriiBg0aqEGDBho7dqyzU7mvgICALFnpLyfx9PRUx44d1bFjR2enosuXL2vlypWGeNWqVdWiRQsnZJT9uLu73yukc4aCBQuqRYsWLvf78vHxUa9evWyumJVd5cmTR82aNVOzZs2cnUq2l1PPEVfn5+ensLAwffbZZ2ni06dPz1DhHnKuWbNmpZklXfrzg4XHH3/cSRkBAAAAAOCYSpUqqVmzZoYP9VNSUjRv3jy9+eabmjNnjum+YWFhpqu72Ktr166GIh5J+s9//pMjinhCQ0NNiywWLFjgcJHFwoULlZSUZIg/9thjpivq/VWnTp1MC/fmzp2rSZMmma7q5Op8fHxM4/Hx8Zl+7B49euiVV17R77//niY+c+ZMdezY0XS1PUl6/vnnMz03V5PTr/m7AgMDTePXrl2zuY+r3i+sZGsCzYMHDzpUVGR2P7OXM+8h6ZUbzpHspH79+vr2228N8UOHDmV5kVz//v3l5eWlPn36GH6PJ0+eVFBQkMLDw1W5cuUszQvWy8jzBemXmJio48ePG+J169bNssntAQD24e4MAAAAANnQ559/rjt37hjigwcPtuQjBACA63nzzTdVoECBNLFly5bp5MmTTsoIriY+Pl6ffPKJIT5p0iQnZAMAAAAAgHUGDBhgGp87d65OnDih7du3G9rc3NwUFhZmyfE7depkWhCwYsUK7dmzx5JjOFPPnj1NP/Ldu3evli1bluF+Y2NjNWXKFNO23r17P3D/9u3bq2TJkoZ4TEyMRo0aleG8nMlW0c2FCxcy/dj58+c3vZbWrl2rQ4cOmRaqlS9f3mUnU81MOf2av+vvq17dVbhwYZv7uOr9wkp169Y1jZtNqppeJ0+e1IoVKzK8/13OvIekV244R7KT5s2bm8b37t2btYn8f08//bSWLFliunrkuXPnFBQUpKNHjzohM1gpI88XpN+hQ4dMvxdiEmMAcF0U7gEAAABANpOSkqKZM2ca4vnz57fsIwQAgOspU6aMhg4dmiaWkpKi9957z0kZwdXMmjVLV69eTRN78sknc9Qs4AAAAACA3Klbt26mxQq//vqrBg8ebLpPcHCwKlSoYMnx8+bNq1dffdUQT01NVffu3XX58mVLjuMsZcqUUYcOHUzbXnnlFd24cSND/b755puKjo42xL28vNI1npE3b1699NJLpm0fffSRfvjhhwzl5Uz+/v7y9PQ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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "alminer.plot_line_overview(observations, line_freq=100.0)" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "### Example 3.2.2: plot an overview of the observations and highlight observations at a redshifted frequency" ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "deletable": false, "editable": false }, "outputs": [ { "data": { "image/png": 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97NixccYZZ2zRNTfX/Pnz46KLLoqVK1cWrY8aNSomTJgQvXv33qzrtbS0RENDQylHBAAAAAComNwkXnvssUfaIwA5lddQbmtsqCQ2duzY9YZ1lJfSHgAAAABQjeR3VLvBgwfH4MGD0x6DjchC/lHqfHDAgAExcODAzZ5j8uTJ680BK51HjRs3rltpTx4FAAAAANSqurQHACinUaNG5TaU21IbK4lV6k6avE1pDwAAAAAAoPSykH/kIR+URwEAAAAApEdxD6hqEyZMEMpFZUM53paFz0NICgAAAAAAVJss5B/ywbdl4fMAAAAAAMgixT2gqvXu3bvsewjlWJ8sfB5CUgAAAAAAoNpkIf+QD74tC58HAAAAAEBWKe4BbAWhHOuThc9DSAoAAAAAAFSbLOQf8sG3ZeHzAAAAAADIMsU9gC0klGN9svB5CEkBAAAAAIBqk4X8Qz74tix8HgAAAAAAWdcz7QEgTdOnT4/29vZu60899VTR8erVq+OBBx5Y7zWGDh0aw4cPL8t8nZqamqKpqanbeltbW1n3ZcOEcqxPFj4PISkAAAAAAFBtspB/yAffloXPAwAAAAAgDxT3qGlnnXVWPPvss+/4uldeeSWOO+649f7s3HPPXW+prpSam5tj6tSpZd2DTSeUY32y8HkISQEAAAAAgGqThfxDPvi2LHweAAAAAAB5obgHOVBfXx9jxozptt7W1hazZ89OYaLaJZRjfbLweQhJAQAAAACAapOF/EM++LYsfB4AAAAAAHmiuAc50NjYGI2Njd3W586dGyNGjKj8QDVKKMf6ZOHzEJICAAAAAEBlNTU1RVNTU7f1tra2yg9TpbKQf8gH35aFzwMAAAAAIG9SK+5deumlaW29Vb797W+nPQIl1NzcnPYI5IRQjvXJwuchJAUAAAAASkV+R9qmT58e7e3t3dafeuqpouPVq1fHAw88sN5rDB06NIYPH16W+dbW3NwcU6dOLfs+tSoL+Yd88G1Z+DwAAAAAAPIoteLe1VdfHYVCIa3tt5jgD2qPUI71ycLnISQFAAAAAEpJfkfazjrrrHj22Wff8XWvvPJKHHfccev92bnnnrveb8Irtfr6+hgzZky39ba2tpg9e3bZ969mWcg/5INvy8LnAQAAAACQV6kV9zolSZL2CJssj0ElsHWEcqxPFj4PISkAAAAAUC7yO3hnjY2N0djY2G197ty5MWLEiMoPVCWykH/IB9+Whc9jfd/CCQAAAACQF6kX9/ISpuUpoARKQyjH+mTh88hCSAoAAAAAVC/5HZCGLOQf8sG3ZeXzGD9+fNn3AQAAAAAol9SLe1m0bsiXl3ASKB2hHOuThc8jCyEpAAAAAEClye9qQ3Nzc9ojkJIs5B9ZyQenTJkSkyZN6rZea3lU5+cxZ86csu8FAAAAAFAuqRb33AUTyKKshHJZKInxtix8HlkISdvb28u+BwAAAACQHvkdUGlZyD+ykg9GhNJebPjzAAAAAADIm9SKe7fccktaW29Qc3NzfOc734nW1taIEExCLcpKKJeFkhhvy8LnkZWQdPz48WXfBwAAAABIh/wOqLSs5B9ZyAc3pBbzKKU9AAAAAKBapFbcy1LxZPHixfGNb3wjbrzxxnj99dcjQugHtSgroVwWSmK8bcqUKe5sGm//9zFnzpyy7wUAAAAApCNL/wYtv4Pql6X8I+18cENqNY9S2gMAAAAAqkVqxb0saG1tjW9/+9tx7bXXxqpVq7qFfYVCoeh45513ruR4QAVlJZRT2ssepT0hKQAAAABQOfI7qA1Zzj+U9t6Whc+jb9++sXLlyrLvDwAAAABQDnVpD5CG1atXx1VXXRXDhg2LCRMmRFtbWyRJEoVCoegR8f/Zu/s4K+s6f/zv4R5hBG8xFAURbylFizbv0FXrW1ppqZi167hm6XSzUZhhlloaZhbmb5d2XW/GdbNFN8XS2k1MsHJXpSgVyVAcEbxLEMVhuJ3z+wOd8cyZW+bcfM45z+fjMY+6PnNd1+eDn/lcc831Ou9ztr5zZ21tbVx22WXx9NNPl3jkQCGkEsop2isPQlIAAAAAgPyT30H1WLp0abL5R7Hzwblz53bYLo/aasSIETFr1qyC9w8AAAAAUChV9Yl7mzdvjuuuuy6uuOKKePHFF1vfobP9O3NGbA38hgwZEp/73OdixowZseOOOxZ7uNCqoaEhGhoactqbmpqKP5gKk0oop2ivPAhJAQAAAADyS34H1WfatGk5n6CWQv5Rinzwpptuymmvr6+XR0XbfIwaNargYwAAAAAAKJSqKdz7j//4j7jkkkuisbGx28BvwIAB8Q//8A/xzW9+M0aPHl3soUKOxsbGWLBgQamHUXFSCuUU7aVP0d5WtbW1OWE6AAAAAMC2kN9BdVK013k+GBExderUoowh5Tzq7fOxevXqgo8DAAAAAKBQKr5w76677oqLL744nnjiiW4Dv5qamvjEJz4R3/rWt2L8+PHFHip0auzYsTFlypSc9qampli4cGEJRlT+Ug/lFO2lRdHeViNGjIjvf//78elPf7rgYwAAAAAAKpf8DnhLKvlHCvlgMaWeRxVzPgAAAAAACqliC/fuv//+uOiii+Lhhx/uNvCLiDjxxBPjiiuuiHe9611FHSf0RF1dXdTV1eW0L168OCZOnFj8AZW5VEIgRXvlob6+XtFetK2PUaNGFXwMAAAAAEBlkt8Bb5dS/lHqfLCYyiGPUrQHAAAAAFSKiivce+SRR+Kiiy6KX//61xERnYZ+b7UfffTR8Z3vfCcOP/zw4g4UKIlUQiBFe+Vj6tSpRemnXELS1atXF3wcAAAAAEBlkd9RiRoaGqKhoSGnvampqfiDKUOp5R/FoGhvq1TmAwAAAACgGCqmcG/JkiVx8cUXx9y5cyOi+8Dv0EMPjSuuuCI+8IEPFHWcQOmkEgIp2qM9ISkAAAAAUInkd1SyxsbGWLBgQamHUZYmTZpUdflHZ/ng2WefHTfddFNRxiCPAgAAAAAovrIv3Hv22WfjkksuiR//+MfR0tLSaeAXsTX022+//eLb3/52nHrqqcUeKlBCqYRAivZoT0gKAAAAAFQa+R3VYOzYsTFlypSc9qampli4cGEJRlQ+Zs6cWVX5R1f54FFHHVWUwj15FAAAAABAaZRt4d7LL78cl19+eVx33XWxadOmbgO/MWPGxCWXXBJ1dXXRr1+/Yg8XKKFUQqAUivaWLl1alH7oGSEpAAAAAFBJ5HdUk7q6uqirq8tpX7x4cUycOLH4AyojQ4cOLXgfqeQf3eWDy5YtK/gY5FEAAAAAAKVTdoV7r732Wlx11VVx7bXXxrp167oN/HbZZZe46KKL4vzzz49BgwYVe7hAiTU3N8cFF1xQ8hAohaK9JUuWxLRp04rSF90TkgIAAAAAlUJ+B6QklfwjlXxQHgUAAAAAUDplU7jX3NwcP/zhD+N73/terFmzptvAb/vtt4+vfOUr8eUvfzmGDRtW7OECiZgxY0YsWrQoq62aQ7m1a9cWpT+6JiQFAAAAACqB/A5ITSr5R0r5oDwKAAAAAKB0ki/c27x5c1x33XVx+eWXx0svvdRt4DdkyJD4/Oc/H1/72tdixx13LPZwgcQo2us8lKM0hKQAAAAAQLmT3wEpSiX/SDkflEcBAAAAABRX0oV7t9xyS1x66aXR2NjYbeA3YMCAOOecc+Ib3/hGjB49uthDBcqAUI5SE5ICAAAAAOVOfgekKJX8I+V8UB4FAAAAAFB8SRbu3XXXXXHxxRfHE0880W3gV1NTE5/4xCfiW9/6VowfP77YQwXKhFCOUhOSAgAAAADlTH4HpCqV/CPlfFAeBQAAAABQGv1KPYC3+/Wvfx1/8zd/Ex/72Mdi8eLFrcFe+9Avk8lEJpOJk046Kf74xz/Gj3/8Y6Ef0CmhXJtJkyYVpX+yCUkBAAAAgHIlvwNSlkr+kXI+KI8CAAAAACidJAr3HnnkkTjhhBPihBNOiEceeaTTd+l8K/A7+uij43e/+1387Gc/i3e+852lGDJQJmpra4Vyb5o8eXLMnDmzKGOgjZAUAAAAAChH8jsgdankH6nng/IoAAAAAIDSGVDKzpcsWRJf//rX46677oqI6DLwi4g49NBD4zvf+U68//3vL+5AgbI1a9YsoVy0hXLr168vyjjYSkgKAAAAAJQb+R1QDlLJP8ohH5RHAQAAAACUTskK984666y49dZbo6WlpdPAL2Jr6Lf//vvHt771rTj11FOLPUygzE2YMKEo/ZRLKKdwr3iEpAAAAABAuZHfAeUglfyjXPLBQktlPgAAAAAAUlSywr1bbrml9f+/FfhlMpmoqalpDQLHjBkTl156aZx11lnRr1+/kowTUtDQ0BANDQ057U1NTcUfDDmEcrSXwnwISQEAAACA3pLfAalLJf+QD26VynwAAAAAAKSqZIV7EbmB31uh38iRI2P69Olx/vnnx+DBg5P6hCjFL5RCY2NjLFiwoNTDoANCOdpLYT6EpAAAAADAtpLfAalKJf+QD26VynwAAAAAAKSspIV7EdH67pxv/W9ExGuvvRbf+MY34hvf+EaphtWhmpqa2Lx5c6mHQRUaO3ZsTJkyJae9qakpFi5cWIIRESGUI1cK8yEkBQAAAAD6Sn4HpCaV/EM+uFUq8wEAAAAAkLqSF+515O0hIBBRV1cXdXV1Oe2LFy+OiRMnFn9ACOXIkcJ8CEkBAAAAgEKR30G2hoaGaGhoyGlvamoq/mAqXCr5h3xwq1TmAwAAAACgHCRZuFdTU1PqIeQQRgJvEcrRXgrzISQFAAAAAApJfgfZGhsbY8GCBaUeRsVLJf+QD26VynwAAAAAAJSLkhfupRjyAXRGKEd7KcyHkBQAAAAAyCf5HXRv7NixMWXKlJz2pqamWLhwYQlGVHlSyT/kg1ulMh8AAAAAAOWk5IV7AOVCKEd7KcyHkBQAAAAAAIqvrq4u6urqctoXL14cEydOLP6AKkwq+Yd8cKtU5gMAAAAAoNyUrHB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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "alminer.plot_line_overview(observations, line_freq=400.0, z=2)" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "## 3.3 Plot observed frequencies in each band \n", "\n", "The `alminer.plot_bands` function creates detailed plots of observed frequencies in each band.\n", "\n", "
\n", "\n", "
\n", "Details of plot_bands function\n", "\n", "* Description: Create overview and detailed plots of observed frequencies in each band.
\n", "
\n", "* Command:
\n", " * alminer.**plot_bands**(_observations, mark_freq='', z=0., mark_CO=False, showfig=True, savefig=None_)
\n", "
\n", "* Parameters:
\n", " * **observations (pandas.DataFrame)** : This is likely the output of e.g. `conesearch`, `target`, `catalog`, and `keysearch` functions.
\n", " * **mark_freq (list of float64, optional, default: '')** : A list of frequencies to mark on the plot with dashed lines.
\n", " * **z (float64, optional, default: 0)** : Redshift by which the frequencies given in 'mark_freq' and 'mark_CO' parameters should be shifted. Currently only one redshift can be given for all targets.
\n", " * **mark_CO (bool, optional, default: False)** : mark CO, 13CO, and C18O frequencies on the plot with dashed lines.
\n", " * **showfig (bool, optional, default: True)** : Display the plot (*showfig=True*) or not (*showfig=False*).
\n", " * **savefig (str, optional, default: None)** : Filename (without an extension) for the plot to be saved as. Default file extension is PDF. Figure is saved in a subdirectory called 'reports' within the current working directory. If the directory doesn't exist, it will be created. Default quality is dpi=300.
\n", "
\n", "***\n", "
" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "### Example 3.3.1: plot observed frequencies in each band and mark redshifted CO lines" ] }, { "cell_type": "code", "execution_count": 30, "metadata": { "deletable": false, "editable": false }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "alminer.plot_bands(observations, mark_CO=True, z=0.5)" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "### Example 3.3.2: plot observed frequencies in each band and mark frequencies of choice" ] }, { "cell_type": "code", "execution_count": 31, "metadata": { "deletable": false, "editable": false }, "outputs": [ { "data": { "image/png": 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+k3OcQHmo/gWtYcOG5Tx20003jX79+mXbCxcujCeffLLO7V2nAY3Vs2fPGn2LFy+uc/s33ngjZsyYkW1XVlbGyJEjczpW9W2TJKmxbn2aNQ1orMauaYVkTYPyZn2C0lLIOVn9WA0dx5ykHBVyTq5cuTLV7tGjR73bV5+TY8aMiUwmk9Oxqs/JSZMmRVVVVU5joZiaa05edtll2Zupdu/ePX7/+983OTbnScqRvyeh9GzMvLzhhhtS7XHjxjVrTBuYl5SjQpwrJ0yYkGofeOCB9X4fcQNzkpZKIR8A5Mn69evjlltuSfXl8jS+iIipU6em2rl+aTMiYsSIEdGhQ4ds+/3330/dxRBggx133DHVnjJlSk7jkiSpse2uu+5a5/ZNWdPatm1bY9/V9wcwf/78VLtXr16NGt+7d+9U++WXX65zW9dpQGO99957NfqqrzufVn2d2XXXXaNt27Y5H2+PPfaod3/1vWZNAxrS2DWtkKxpUN6sT1BaCjknqx+rvuMkSRKvvvpqqq8xc7L631uvvPJKJEmS83golkLOyeeffz7VHjFiRL3bN+U82b9//xg8eHC2vXr16nj99ddzHg/F0hxz8s0334zzzjsv27744oub5alDrl0pR/6ehNLT2Hm5cuXKePzxx7Ptnj17Nurmv41hXlKO8n2uXLJkSdxzzz2pvly+a+1zHloyhXwAkCePP/54vPvuu9l2ro96XrNmTerpCxERQ4cOzfm4HTp0iK222irVN3369JzHA+Xj8MMPT7Wvu+66WLRoUYPjbrnllnj//fez7eHDh9coCvy06mtQY9a02ra3pgHVVVSkP95Yt25do8avWbMm1a5rnXGdBmyM6k/5HDRoULRv377O7Qt17WRNAzZGY9e0QrGmAdYnKC2FmpNVVVXZJxFtsM0229S5/TvvvBPLly/PtisrK2PgwIE5H2/QoEHRuXPn1PE/nQuEUlWoOTl37ty49tprU31HHXVUvWPkkChHTZ2TSZLE9773vewTMPfYY4/44Q9/2OS4XLtSrprzPPnuu+/GlClT4sknn4xp06Y1qUDHnKScNXZeTp06NZXz/3QR3/z58+PKK6+MUaNGxRZbbBEdOnSITTfdNIYPHx4/+9nP4oknnsg5LvOScpXvvynvuOOOWLFiRbbdr1+/2H///Rsc53MeWjKFfACQJ9Uf9Tx27NicHvX81ltvxdq1a7PtTp065TTu0wYMGJBqv/HGG40aD5SHMWPGpB4nP3fu3Bg7dmx89NFHdY65//774/jjj8+227VrF3/4wx/qPU71Naj6GtUQaxrQkOpP4Js7d26jxldPotX1YbnrNGBj/PGPf0y1G0o6FOrayZoGbIzGrmmFYk0DrE9QWgo1J++4446oqqrKtrt161bjbuqf1tS/t2obY07SEhRiTv773/+OMWPGxIIFC7J9Rx11VOy22251jlmxYkXMnj071SeHRDlo6py8+uqrs1+mbt++fVx77bWRyWSaHJdrV8pVc5wnH3744ejfv38MHDgwdt1119hrr71i++23j379+sWQIUPi6KOPjmeffbZR+zQnKWeNnZdTpkxJtbfccsuIiLjttttiq622ihNPPDGeeOKJeO+992L16tXx0UcfxcsvvxyXX355jBo1Kr785S/Hm2++2WBc5iXlKt9/U1b/rvW4ceOibdu2DY7zOQ8tWcP/hQMAjbZ06dKNetRzRM0vnm+++eaNPn71MY39MjtQPv70pz/F6NGj47XXXouIiKeeeiq23nrr+Na3vhV77LFH9OvXL1avXh0zZsyI+++/P3Unqs6dO8ett95abxI2omaBzBZbbNGoGK1pQEO23HLLePrpp7PtKVOmNHin5w3+85//xOLFi1N9dRU0u04DGuvBBx+scSfPhv42rL4uNPXaqa47/lrTgMbamDWtUKxpUN6sT1BaCjUnly9fHueff36q79vf/na0a9euzjFN/Xsr4pM5+ekvdZmTlLrmmpPLli2L5557LttOkiSWLVsWb7/9dkyaNCn+8Y9/pL7U/LWvfS2uueaaevf58ccfR5Ik2Xa7du2iX79+jYrLeZKWpqlz8t13341TTz012z7llFMa/STLurh2pRw113nygw8+qPO1WbNmxYQJE2LChAnxpS99KW688cacnhZkTlKuNmZeVn9KXrdu3eLXv/51nHHGGTkd87HHHovdd9897r///npvDmNeUo7y/TnPjBkzUt/3acz+fc5DS6aQDwDy4I477kg9snmTTTaJ/fbbL6exy5YtS7UrKysbffzqY6rvE2CDPn36xHPPPRennXZaXHPNNbF69epYunRpXHfddXHdddfVOqZdu3bxjW98I371q1/F1ltvXe/+V6xYEevWrUv1NXZds6YBDfniF78Yt9xyS7Z99913x+9+97t6v7i1wW233Vajr651xnUa0BgLFiyIH/7wh6m+gw46KHbdddd6xzV1ram+/Zo1a2LVqlXRoUOHZj1ObWOsadB6beyaVijWNChf1icoLYWck7/4xS9i1qxZ2XZlZWWceeaZ9Y4xJyk3zTknZ8yYEWPGjGlwuyFDhsTpp58exx57bINPCKs+fzp37tzop4qZk7QkzTEnjzvuuFi6dGlERGy77bY5FyjkwnmSclOMvycff/zx2GmnneKee+6Jvfbaq95tzUnK0cbOy0WLFqXakydPjqlTp2bb2267bRx55JExdOjQ6NChQ7z11lvx17/+NVWctGDBghg7dmxMnTq1zmJb85JyU4hz5U033ZRqDx8+PD7/+c/nNNacpCWrKHYAANAaVX/U87e//e2cHvUcUfNCsGPHjo0+fqdOnerdJ8CnVVZWxpVXXhkTJ07M6Y6N3/rWt+JnP/tZg0V8EbWvP41d16xpQEP233//VNHehx9+GFdccUWD4z788MO48sora/TnWsjnOg2oy/r162PcuHExZ86cbF/37t1rXXOqa+paU32dqW2fzXGc2o5lTYPWqSlrWqFY06A8WZ+gtBRyTt52221x9dVXp/ouuuii6N+/f73jzEnKSTHOk1tttVWcffbZ8e1vfzungjxzknLSHHPy1ltvjQcffDAiIjKZTFxzzTU1bt7VFOYk5aS5zpNbbLFFHH/88XHnnXfG9OnTY9GiRbFmzZr4+OOPY8qUKXHppZfGlltumRqzYMGC+PrXvx7//ve/6923OUm5acq8rF7I9/LLL2ef/Hz66afHa6+9FmeffXYccsghMXbs2DjxxBNj8uTJcdttt0X79u2z4xYuXFjvk8DMS8pJIf6mTJIkbr755lRfY572Z07SkinkA4BmNnPmzHjqqadSfY25uFy5cmWq/ek/FnNV/cPaFStWNHofQPl4++2346CDDoo999wzXn/99Qa3v+WWW2K33XaLAw44IN5///16t62+pkU0fl2zpgEN2XzzzeNb3/pWqu+MM86Ie++9t84xCxcujIMOOijmz59f47W61hnXaUCuTj755PjHP/6R6rvmmmtiwIABDY5t6lpT25d3altrrGlArpqyphWKNQ3Kk/UJSkuh5uQLL7wQxx57bKpv//33jx//+McNjjUnKSfFOE/OnDkzjj766Bg0aFDceuutDW5vTlJOmjon586dGz/96U+z7WOOOSZGjRrVnCGak5SVps7J7t27x/333x/vvPNOXHXVVXHIIYfEdtttF927d4+2bdtG7969Y+edd46TTz453nzzzTjnnHOiouK/X9detGhRjBs3LltoVBtzknLTlHlZV+HNj370o7jwwgvrfADDt771rbjhhhtSfRMnToxnnnmm1u3NS8pJIf6mnDhxYsyePTvbbt++fRx55JE5jzcnackU8gFAM2vKo54jat4VYvXq1Y2OYdWqVfXuE2CDiRMnxo477hj33Xdf9kPiffbZJ+64446YPXt2rFq1KhYvXhxTp06NSy65JDbffPPs2AcffDB23nnn+M9//lPn/mtbfxq7rlnTgFxcdNFF0bdv32x79erV8Y1vfCOOOuqoeOKJJ2LRokWxatWqmDlzZlx55ZXxuc99Lp5//vmIiOjRo0dqX126dKn1GK7TgFxceeWV8dvf/jbV98tf/jIOP/zwnMY3da2pvs7Uts/mOE5tx7KmQevT1DWtUKxpUH6sT1BaCjUnZ8yYEWPHjk19qWq77baLW265Jaenf5mTlIt8zMkdd9wxkiTJ/qxduzbmz58fzz77bFx00UWppw3NmzcvvvOd78SZZ55Z7z7NScpFc8zJn/zkJ9kbE26yySbxm9/8plljjDAnKR/NMSd79uwZY8eOTRXn1aVNmzZx7rnn1jjmSy+9FH/961/rHGdOUk6aO7cWEdGrV6+45JJLGhw7bty42HvvvVN91157bU7HMS9prQr1Oc+ECRNS7QMPPDB69+6d83hzkpZMIR8ANKMkSeKWW25J9TXmaXwRNb84XtvTrBpS/a4QdX0ZHShvb7zxRowdOzaWLFkSEREVFRVx3XXXxaOPPhqHHnpoDBgwINq3bx/dunWLYcOGxS9/+ct4/fXX46tf/Wp2Hx988EGMHTu2zrWqtvWnseuaNQ3Ixeabbx633357VFZWZvuSJImbb745Ro0aFT179oyOHTvGZz7zmTjxxBPjgw8+yI679NJLU/uqXti3ges0oCF//vOfU3fGjvjkb8KLL7445300da2p7S6Bta011jSgIc2xphWKNQ3Ki/XJ+kRpKdScfP/992PfffeNuXPnZvsGDBgQDz/8cPTq1SunfZiTlINCzck2bdpEr169YrfddotTTz01pk+fHj//+c9T21x44YVx11131bkPc5Jy0Bxz8v7774877rgj27788sujZ8+ezRViljlJOSjm35MnnnhijSdpVv+O2aeZk5SLfOTWIiKOPPLI1HcH6vODH/wg1Z48eXJOxzEvaY0Kda5ctmxZjYJ237WmnCjkA4BmNGnSpJg1a1a23dhHPUfUvBCsqqpqdBzVx7i4BGpz3HHHpdaLs88+O773ve/VO6Zbt25x9913x7bbbpvte+ONN+LKK6+sdftOnTpFmzZtUn2NXdesaUCuRo8eHU8++WRstdVWOW2/0047xeOPPx5du3ZN9edayOc6Dfi0v//973HUUUdln3IcEfGNb3wjrr/++pyeDLFBU9ea6tu3bdu21jsHWtOA+jTXmlYo1jQoH9Yn6xOlpVBzcsGCBbHvvvvG22+/ne3r27dvPPLIIzFgwICc92NO0toV8zzZvn37+H//7//Fcccdl+o/6aSTYt26dbWOqT5/li9fnoo9F+Ykpaw55uTixYvj+OOPz7b322+/+Na3vtXssUY4T9L6lcLfkyeddFKq/fjjj8fatWtr3dacpBzkK7cWETUKZ+tTfdtZs2Zln4Rb33HMS1qbQp4r77zzztR82GSTTWK//fZr1D7MSVoyhXwA0Iya+qjniIh+/fql2u+9916j46g+pvo+AV599dWYNGlStt2zZ884+eSTcxrbuXPnOOuss1J91113XZ3b9+3bN9WeM2dO7oGGNQ1onJ122immT58e11xzTey5557Rtm3bGtsMGzYsrrjiinjuuedim222qfEh/Gc+85la9+06DajLxIkT49BDD00l3MeMGRO33XZbjZsaNKT6utDUa6fq12J1HceaBmzQnGtaoVjToDxYn2rfJxRLoebk0qVL46tf/WpMmzYt29e9e/d46KGHUjecy0VT/96KMCcpXaVynrz44otTN06bPXt2PP7447Vu26dPn9SXQdesWZN66mYuzElKVXPNyd/97nfx/vvvR0REZWVlXH311c0e6wauXWnNSuU8+aUvfSl17lu6dGl88MEHtW5rTtLaNee83GSTTWr0bbPNNjmP79+/f43indquS81LWrNCnyurf9f629/+dq3f76mPz3loyRTyAUAzWbZsWdx9992pvsY+6jkiYsstt0xdkK5YsSLmzZvXqH3Mnj071d5uu+0aHQfQuj322GOp9pe+9KXo3LlzzuMPOOCA1AfMM2bMqPMD5upfpqi+RjXEmgY0Vrt27eIHP/hBPPnkk7Fo0aKYPn16PPnkk/HPf/4z5s2bF1OnTo3/+Z//ifbt20dExOuvv54av/POO9e6X9dpQG2ef/75+NrXvhYrV67M9o0cOTLuueee7DrTGIW6drKmAbVp7jWtUKxp0PpZn/7L+kQpKNScXLFiRRx44IExZcqUbF/nzp3jgQceiJ122qnR+6v+99a7777b6H1UH2NOUgpK6TzZvXv32GeffVJ9zzzzTK3bdurUKQYOHJjqk0OiNWjOOblo0aLsv6uqqmLw4MGRyWQa/HnnnXdS+xk9enTq9Z/+9Kc1juXaldaqlM6TlZWV0bNnz1RfXfPMnKQ1a+55+dnPfrZGX7du3Rq1j+rbL1y4sMY25iWtVaHPlW+//XY8+eSTqb6N+a61z3loyRTyAUAzueuuu5r8qOeIT754vtVWW6X6qn+5vD6rVq2Kt956K9Xn4hKo7u233061hwwZ0qjxPXr0qPEBc113mqq+BjVmTYuImD59er37A6hPZWVlbLfddrHnnnvGTjvtFH369Kmxzb/+9a9Uu65CPtdpQHWvvvpq7LfffrFs2bJs30477RQPPvhgVFZWbtQ+C3XtZE0DqsvHmlYo1jRo3axP1idKS6Hm5OrVq+Ob3/xmPPHEE9m+Dh06xL333ht77LHHRu1z0KBB0alTp2y7qqqqRqFDfd55551Yvnx5tl1ZWRkDBgzYqFiguZTiebL6ue/DDz+sc1s5JFqbUpyTuXLtSmtUinOyXbt2qfaaNWvq3M6cpDXKx7wcOnRojb5Vq1Y1ah+fLmCKiFpvhm5e0hoV41x50003RZIk2faIESPi85//fKP343MeWjKFfADQTKo/6nncuHGNftTzBjvuuGOqXdddCmvz0ksvpf4Q3WyzzTzuGaih+gdWG7NeVf+Aed26dbVu15Q1be3atfHCCy/Uuz+ApliwYEE899xz2Xb37t1j5MiRdW7vOg3Y4I033ogxY8ak7sj52c9+Nh566KHo3r37Ru+3+jozZcqUWLt2bc7jn3766Xr3V99r1jQoX/la0wrJmgatk/XJ+kRpKdScXLduXRx55JHxj3/8I9vXtm3b+Mtf/hJjxozZ6P1mMpnYYYcdUn2NmZPV/97aYYcdIpPJbHQ80FQt5TxZPZ/0aU05T37wwQcxa9as1HFq+xI3FEpLmZP1ce1Ka1KKc3Lt2rUxf/78VF/fvn3r3N6cpLXJ17wcOnRodOzYMdX30Ucf5Tx+1apVsXjx4lRf7969a93WvKQ1Kca5MkmSuPnmm1N9G/M0vgif89CyKeQDgGYwa9as1B1BIzb+4jIi4sADD0y1H3nkkZzHVt927NixGx0H0HpV/8Dp/fffb9T4VatW5fwB8wEHHJBqP/PMM6knmNbn6aefTt35ZptttoltttmmUbEC1Ofuu+9O3enyiCOOqPXuehu4TgMiPrk735e//OWYO3dutm/IkCHxyCOP1Jt0z8V2222XuptnVVVVzgmHqqqqePbZZ7PtTCZTY936NGsaEJHfNa2QrGnQ+lifrE+UlkLNySRJ4phjjom7774721dRURE33nhjHHTQQU3evzlJa1HK58nqT0DYZJNN6ty2+px89NFHU09mqM/DDz+cao8ePTq6dOmSY5TQvPI1J0844YR45JFHGv1Tfd5ddtllqddPOOGEWo/nPElrUarnyeeeey514762bdvGpptuWuf25iStST7nZadOneLLX/5yqu+ll17Kefwrr7ySunl5165do3///rVua17SWhTrXPnEE0/E22+/nW23b98+jjzyyI3enzlJS6WQDwCaQW2Pet5+++03en/7779/6ulYkyZNqvFY9dokSVLjyYBf//rXNzoOoPUaPHhwqj1p0qScE6MREZMnT059wNyhQ4fYfPPNa912wIABsdNOO2Xby5YtizvuuCOn49xwww2ptjUNaE4rV66MCy+8MNX3/e9/v94xrtOADz74IPbZZ5+YM2dOtm/zzTePxx57rM7rocb62te+lmpXvyaqy+233x7Lli3Ltnfeeec6E40R1jSgMGtaoVjToHWxPlmfKC2FnJM//vGPa9yZ/aqrropx48Y1y/6r/7115513pv6OqsvSpUvjzjvvTPWZkxRLKZ8nV65cGY8++miqr/oTEj5t5MiR0adPn2z7rbfeikmTJuV0LDkkSkU+5+Q222wTX/7ylxv9U/2pRCNGjEi9XteNU1270hqU8nmy+rlr9913r/cGo+YkrUUh5uXBBx+can/65jANqf633p577hlt2rSpdVvzktagmOfK6vNg7Nix0atXr43en895aKkU8gFAEzXno5436NWrV+quokmSxLnnntvguD/+8Y8xa9asbHvQoEE17jYDEBGxzz77pNqzZ8/OubguSZK4+OKLU3177rlndOjQoc4xxx57bKp98cUXx8qVK+s9zvTp0+P222/PtisqKpq8vgJ82qmnnpq6O/SRRx4Zw4cPr3eM6zQobwsWLIgxY8bEzJkzs319+/aNRx55JIYMGdJsxznmmGMik8lk23/5y19i+vTp9Y5ZuXJljWu06tdg1VnToLwVak0rFGsatB7Wp09YnygVhZyTp512Wlx11VWpvssuuyx++MMfNtsxdthhh9hll12y7WXLlsWll17a4LhLL700qqqqsu3ddtsthg4d2mxxQa5K/Tz561//OhYtWpRtd+7cud7zV225n/POO6/Bm08+9thj8eSTT2bbXbt2jcMOO2yjYoamKPU52ViuXWnpSnlOTpo0KW655ZZUX0NPnDYnaQ0KNS8POeSQVDHQ008/HRMnTmxw3AcffBDXX399qq++60rzkpaumOfKqqqquOuuu1J9Tf0uoM95aLESACgDEydOTCIi+zNo0KBm2/fkyZNT+27fvn0yf/78Ju932rRpSUVFRWrff/7zn+vdvkePHqntr7/++ibHAZSe5lrTdtttt9R+evbsmbzyyiv1jlm/fn1yyimnpMZFRHLzzTfXO27VqlXJwIEDU2OOO+64ZP369bVuv3jx4mTnnXdObT9u3LiN+j2B0tac12nTp0/Pabu1a9cmp512Wo018KOPPsppvOs0KE9LlixJdtlll9Rc7tGjR/Lyyy/n5XiHH3546li77LJLsnjx4lq3Xb9+ffLDH/4wtf2WW26ZrF69usHjWNOgPBV6TavPoEGDUnFMnDhxo/dlTYOWz/r03+2tT5SCQs7Jiy++uMbnzuecc06zHydJkuQf//hH6jjt2rVLJk+eXOf2kyZNStq1a5ca8+ijj+YlNqhPoebkHXfckVxzzTU5fa6wwfr165MrrrgiyWQyqfhOPvnkBsfOmzcv6dKlS2rcRRddVOf2c+bMSQYPHpza/swzz8w5VmgupXTtWl1TrmVdu9JSFWpOPvzww8kf//jHZM2aNTmPeeyxx5KePXumYttss82SqqqqBseak7RkhT5X/uY3v0kda8CAAcnbb79d5/ZVVVXJqFGjaoxp6DrYvKSlKvb160033ZQ69qabbtqo82ldfM5DS5RJkgZuYQQALcjTTz8dK1asqNH/yiuvxC9+8Ytse5NNNolbb7211n3079+/UXdWOOaYY+LGG2/Mtr/5zW/WuGvExvrhD38Y1157bbZdUVERZ5xxRvzsZz+Lnj17RkTEmjVr4k9/+lP8/Oc/j4ULF2a33WGHHeKll15KPcodaFnyvaZNnjw5Ro8enbqraefOnePUU0+N73//+7Hppptm+9evXx/PPvts/OpXv4qHHnootZ/Pf/7zMXXq1KioqP+B37fddlsceeSRqb5DDjkkfv3rX8fWW2+d7Xv88cfjZz/7Wbz66qvZvi5dusSrr75a9LvkARuvENdpffv2jc997nNxxBFHxH777RcDBw5Mvb5s2bJ48MEH4+KLL46XX345219RURF33XVXHHzwwTn/Pq7ToPyMHj06Jk2alOo7//zzY/fdd2/0vkaMGJFdK+oyY8aMGDZ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E5cqVS0WKFFHFihXVuHFjtWvXzurfUc5w9OhR7dmzR4cPH1ZwcLDCwsIUFRWlyMhIxcXFKXv27PL29laOHDkUEBCgwMBABQYGqnz58qpXr57KlSuX4b7nQEp5e3urUKFCOn/+vMX4lStX0ragFJo+fbrVOJuAA0DGx0I+AAAApAlrTTlHLdKIiIjQ0qVLtWHDBm3evDlFF1Ti4+MVGRmpc+fOaceOHf/c8axkyZLq37+/Xn75ZeXNm9ch9f2b0YXMxo0ba8uWLWbje/fu1ZgxY7Rs2TIlJiZaPDciIkIRERE6ceKElixZorfffltPPPGERo8erdatWzuyfEMrV67UF198oV27dlmM37t3T/fu3dO1a9e0a9cu/fzzz/Lw8FCvXr00cuRIlSlTJk3qzIzmzp2r+/fvG8b79euXhtVkTgkJCZo3b55++ukn7dy5UyaTyfC4uLg43blzRydOnNCKFSskSblz51bXrl01fPhwVapUKS1LN/PXX39p7Nix+vXXXw0b1o8WzIWEhGjFihV67733VKtWLb399tt67rnnnFbbgwcPNGfOHP3yyy/asmWL4XuW9HeT+9Hz+uLFizp06FCSuJeXl2rXrq0OHTqoW7duKl68uNPqBpzF09PTMGbrh5Z8fHwMY+7u7jblNJLc32nO/ODVTz/9pB07dpiNlylTRu+9957T5gUAAAAAAPahJ5QUPaGs2RNKy2t0kvXXTlZZHJkSJ06csBp/4oknHDpfvnz5VKpUKf31118W42vXrmUhXyazfv16w9gzzzzj0LmeeeYZw4V8u3fvVnR0tHLmzOnQOTO7qKgo/fjjj5oxY4bVO2E96jGGhYXp4MGDmj9/viSpWLFi6t27t1577TWHb3yYWlu3btWYMWO0du1aw2Pu3LmjO3fuKDg4WL///ruGDBmiZ555Rh988IHDFpVacuvWLU2bNk2//vqrjh8/bvXY6OjofzZiOHfunP78888k8Tx58uipp55Sly5d1KFDB6u/H4GMKCAgwHAhn7M2IbFHZGSkFi1aZBh/6qmnMv3f2QDwOHBN7wIAAADweDDaIVKyr7n08OFDzZ07V88++6wCAgIUFBSk3377ze5dkUJDQzVq1CiVLFlSX375pRISEuzKZ6u7d+9q0KBBeuKJJ7RkyRKrC2Is+fPPP9WmTRt1797dqReYrl+/rjZt2qhdu3aGDVsj8fHxmj59uqpUqaIxY8ak+jE+LqztqJUzZ06nLszKCtavX68KFSqoZ8+e2rFjh+EiPmuioqL+ea726tVLYWFhTqjUusTERI0dO1aVK1fW1KlTre46a8mBAwf0/PPPq1GjRoYXo+2xadMmVa1aVUFBQdq0aZPdr+fY2Fjt2LFDI0aMUGBgoD7//HMHVQqkjYSEBN28edMwbmsT2dp5t27dsimnEWv1P9rx1hkuXbqkkSNHWoxNmjQpw90hFQAAAAAA/B96QrahJ5S5WLtGd/v2bYfOZTKZrObMly+fQ+fLyC5evGgYCwgIkJ+fn8PnrFixomHM2qIwZDx3797V/v37DeNPP/20Q+dr3ry54WLuBw8eaPv27Q6dLzNLTEzUt99+q+LFi+vdd9+1uojPmosXL+qzzz5TYGCgPv30U8XHxzu40uRFRESoT58+atKkidVFfJYkJCRo2bJlqlu3rgYOHGh1o19bJCYmatKkSSpbtqxGjhyZ7CK+lAgPD9eyZcvUp08f5c+fX5s3b3ZApUDasfa3vyPvsOwoc+bMUUxMjGGcTcABIHNgIR8AAADShLUmapEiRWzOe/36dfXo0UPLly93ykXYqKgojRw5Uo0bN9aNGzccnt+ac+fOqX79+po8ebJNi47+bd68eWrQoIHDG4eStGfPHlWrVk1r1qyxK09cXJxGjRqlrl27KjY21kHVZQ3Hjx/X3r17DePPP/+8QxdSfPTRR3JxcTH8srRDcEb14MEDDR48WC1bttTZs2cdktNkMmn27NmqUKFCqpsv9oiNjVW3bt307rvv2v0a2b59u6pXr+6wBnNiYqKGDRum5s2b69SpUw7JaYm1BUVARnT69GmrH0aqW7euTXlr1KhhGLO1uW3E2nuntTrs9corr+ju3btm471791azZs2cNi8AAAAAALAfPaHUoyeU+Vi7NvbgwQOdO3fOYXOdO3dODx8+tKmWrMbaRmbOujNhnjx5DGPnz593+OZqcJ7Dhw9bXbBRr149h87n5+dn9a5IBw4csDl3kyZNrPZzM5Pr16+rcePGev311xUREeGQnPfv39eHH36o2rVrG95R0xkuXLig+vXr65dffrErj8lk0pQpU1S7dm1duHDBIbXduXNHzZs31yuvvGJ10wV7PLr7MZCZXL9+3TCWEe8w+eiu4pbkzp1b3bp1S8NqAAC2YiEfAAAAnO7hw4faunWrYbxWrVppWI1tdu7cqYYNG+ry5ctpMl9oaKgaNGjgkB3QHgkODlbbtm0d2tzeunWrmjdv7tA7ky1evFhdunRJtx1vMyJrF+IkdtQyEh0drRYtWuinn35ySv47d+6obdu2Tsv/bwkJCerSpYsWLVrksJyRkZFq166dli5daneugQMHasKECfYXBWQxy5cvN4wFBgYqMDDQprxNmjQxjO3evdviAjhbWVuw3KhRI4fN829z587VypUrzcbz5s2rr7/+2ilzAgAAAAAAx6AnlHr0hDJnT6hcuXIqUKCAYXzdunUOm8vaNbqAgACVK1fOYXNldNbuQJMeC/kk+xZjIW0dPHjQMFa4cGHlz5/f4XNa+7136NAhh8+X2Zw6dUq1a9fWjh07nJL/6NGjqlu3rnbv3u2U/P9248YNNW7c2KGbnp48eVINGjRQSEiIXXnu3r2rFi1aZKoNe4G0cPPmTat/85coUSINq0lecHCw1b87unfvLm9v7zSsCABgK7f0LgAAAABZ37Jly6zuutW4cWOn15AjRw7ly5dPPj4+8vHxkZubmyIiIhQeHq6LFy9avVvOIyEhIWrfvr127tzp1Asft27dUosWLXTt2jWLcVdXVxUsWFD+/v7y8/NTeHi4rl+/bnj8v+3du1fvv/++xo0bZ3edJ06cUMeOHXXv3r1kj3V1dVVgYKAKFy4sDw8PRUVF6ezZs4Y76q1atUpvv/222rdvb3edmd2DBw/066+/GsYrVKig+vXrp2FFmUNsbKzatm2r7du3p+j43Llzq0yZMvL19VV8fLxu3Lih0NBQqzvcSn/fiW7w4MHKli2bXn75ZUeUbtGIESO0atUqw7iPj4/KlCkjHx8fxcfH69q1awoNDU32vS0+Pl7du3fXpk2bbH4e/fzzz5o6dWqKjnV1dVXRokXl7++vHDlyyM3NTVFRUYqMjFR4eDh33EOWcu/ePX333XeG8YEDB9qcu3nz5ipSpIjFxtKDBw80ffp0vf766zbnf2T//v3at2+fYbx37952z/Fft2/fNqz966+/Vr58+Rw+JwAAAAAAcBx6QqlDTyhz94T69OmjL7/80mJs8uTJevnll+2+M1ZiYqImTZpkGHfGNbqMzN47VjpDcHCwWrVqld5lIAWOHTtmGKtQoYJT5ixfvrxh7OjRo06ZM7MICQlRs2bNUvQ7Tfp74XKJEiWUM2dOxcTE6MKFCyladH/nzh21bt1aGzduVO3ate0t26IHDx6oQ4cOVu+eV7BgQZUoUULe3t66f/++zp07l6LHfuXKFbVu3Vq7d++Wv7+/TfUNGjTI6kLWf/P09FTx4sWVJ08eeXt7y2QyKTIyUlFRUQoLC3PoZpJAelu9erXVeJUqVdKokpRhE3AAyDpYyAcAAACnun//vt555x3DeMWKFVWvXj2Hz1urVi21adNG1atXV/Xq1VWyZEnDRll0dLQOHjyolStXaubMmVZ3Ej18+LDeffddTZw40eE1S383n/r06aPQ0FCzWMeOHfXcc8+pZcuWyps3r1n8zJkzWrBggcaNG2e1Sf7NN9+ob9++VpsGyYmJiVGXLl0Mm66P1KxZU0OHDtWzzz4rPz8/s3hwcLBmz56tyZMnm9X8zTffOG3nzMxk2bJlunXrlmGcC3GWDRo0KNlFfDlz5lT//v314osvqkaNGmbvEdHR0Vq/fr1+/PFHbdiwwWquV199VeXKlXPKh1C2bdtm8W53uXPn1ssvv6xevXqpWrVqZvHIyEitWrVK33//vXbt2mWYPzY2Vl27dlVwcLDF9xZrIiIirL7HS1Lx4sXVr18/tWrVStWqVZOnp6fhsbdu3dLRo0d15MgRrVu3Tps3b1ZsbGyqagIyirfeektXrlyxGMubN69dC/nc3Nw0dOhQw9ff559/rh49etjc0JX+vhPom2++afjBmFatWqlSpUo25zfyxhtvWFzU26xZM/Xp08fh8wEAAAAAAMehJ5Q69ISS1pkZe0KvvvqqvvnmG4t3Pjx06JBmzZqloKAgu+aYNm2agoODLcbc3d01ZMgQu/JnNl5eXoax5J6jtgoPD7cat/QaRsZk7WdVunRpp8xZpkwZw9iFCxdkMpnsXvCbGd27d08dO3ZMdiFbsWLFNHToUHXt2lWBgYFm8WvXrmnJkiX67rvvdPLkScM8UVFR6tixow4ePOiUOy+OHTtWe/bsMRsvUaLEP/UXLVrULH7x4kUtXLhQ3377rc6fP2+Y/6+//lLv3r21atWqVD9ftm7dqjlz5lg95oknnlCvXr3UokULlS5dWq6urobHXrhwQUePHtWBAwe0atUq7du3L0MusgZSwtqm2t7e3qpTp04aVmNdfHy8Zs+ebRivXLmy6tatm4YVAQDsYgIAAMBjp0+fPiZJFr8aN27ssHnu379vat68ueFckkyzZs2ya45Lly79k6ty5cqmiRMnmi5evGhzvvj4eNO4ceNMXl5ehjW7urqagoOD7arbKLebm5vZWJ06dUx//vlninPfuHHD1KRJE6vf96CgILvqf+2116zm9/LyMk2aNMmUmJiY4po7dOhglsfDw8NwjtGjR9v1GDKLNm3aGH4P3N3dTTdu3HD4nKNHj7b68928ebPD53Sk3377zWr9kkzt27c3Xb16NcU5V65cacqfP7/VnAUKFDCFh4fbVLO177ml18Gzzz5run79eorz//bbb6bcuXNbrb9bt26prvt///uf1fezcePGmR48eJDqvI/cu3fPtGjRIlOLFi1Mkkyvv/66zbmAtPLw4UPTsGHDrL7e5s+fb/c8cXFxpipVqhjOUbduXVN0dLRNuRMTE039+/c3zO3t7W06c+aM3Y/hv1avXm34d0Vy8507dy5T/+4CAAAAAMBZ6AkZoyeUMvSErBszZozV78327dttzr1x40ar35fPPvvMgY8kc3jvvfcMvx8BAQFOmfPZZ5+1+hpo2bKlU+bNitLqd5KRkiVLGs7/xRdfOGXO7du3W33+XL582aa8jRs3tpo3o7PWg3j0+3fUqFGmmJiYFOV78OCBady4cSZ3d3eredu0aWNzzda+5/99r3Z1dTW99957ptjY2BTljo2NNb377rsmFxcXq/X/8MMPqa67Xbt2hvny5ctnWrlyZapz/tv169dNP/30k6lSpUomSabFixfblQ9IK0eOHLH6erPl8xPONG/ePKv1fvPNN+ldIgAgFYy3TQAAAABsZDKZtHLlSlWpUkUbN240PK558+bq3bu3XXO5uLioYcOGWr58uYKDg/Xaa69Z3Mkspdzd3TVixAgdOHBAAQEBFo9JTEzUZ599ZvMc1jx8+DDJ/3fq1Enbtm1L1Q61+fPn18qVK/Xkk08aHjN37lyrO7Rac/z4cf3www+G8dy5c2vTpk0aOHBgineDy58/vxYvXqzXX389ybilHUwfJ1euXNG6desM4+3bt3fKjoGZWXh4uIYPH271mOHDh2vp0qUqWLBgivO2bdtW+/fvt7pr5vXr1/Xuu++mOGdK/fd18Prrr2vJkiWG71GW9OzZUzt37rT6fJk/f742b96cqtrmz59vGJs6dapGjBghNze3VOX8N29vb3Xq1Enr1q3T8ePH1bp1a5tzZWaBgYFycXHJlF/Wdg/NirZs2aLatWvrm2++MTxm5MiR6tq1q91zeXh4aPbs2fLx8bEY37t3r+rUqaMjR46kKu/169fVtm1bTZ061fCYiRMnWn0/tEV0dLThXQpHjRrl8PkAAAAAAIBj0BOyHT2hrNETGjFihFq0aGExFhsbqxYtWuj7779P1d2KEhMT9b///U9t2rQx/L40adJEI0eOtKnmzKxIkSKGsbCwMN25c8fhc544ccJq/NKlSw6fE85x+fJlw1hq+m6pUaBAAatxazVlVTt37tS0adMM4+7u7po3b54+//xzq3fh/Dc3NzeNGDFCa9askbe3t+Fxq1ev1rx581Jdc3L+/V7t5uamuXPn6rPPPpOnp2eKzvf09NQXX3yh2bNnK1u2bIbHvf/++7p9+3aK67p7967WrFljMZYjRw5t3bpVbdu2TXE+SwICAjRo0CAdO3ZMa9euddrdLTOy8+fPp3tP1tYvS3e6fFyMGDHCatzeuyo72vTp0w1jHh4e6tWrVxpWAwCwFwv5AAAAYJeYmBiFhYXp2LFjmjt3rt58800FBgaqXbt2+uuvvwzPq1atmtUFIClVuHBhbd++Xe3atUtxgzAlKlasqA0bNihXrlwW44sWLVJYWJjD5rOkXbt2WrBgQYovTv+bt7e3ZsyYIQ8PD4vxuLg4LV261Ka6PvjgAyUkJFiMubq6av78+apfv36q87q4uGjChAl6/vnnbaorK5o5c6bh91qS+vbtm4bVZA7jx4+3+trs06ePvv76a5veL4oWLap169bJ39/f8Jiff/7Z6nufvbp3764JEybYVH/lypW1YsUKq+8pqVmIGBsbq/3791uMNW7cWH369El1jdZUrFjxsV3Ih4wnNjZWYWFhOnnypObNm6d33nlHpUuXVtOmTXX48GGL57i4uOiDDz7QmDFjHFZHlSpVtGbNGsO/V06ePKmaNWuqU6dOWrFihSIiIiweFxsbq+3bt2vgwIEqWbKkYVNXkr7++mv179/fEeUnMWrUKF28eNFsvEKFCnrnnXccPh8AAAAAAEg9ekLOQ08o88qWLZuWLFmixo0bW4zHxsZq6NChqlChgr7//nuFhIQY5jp9+rS++eYblS1bViNGjDBcxFe/fn0tX77c6mKPrMrahl8mk0l79+516Hy3b9+2+jN7dAwyvujoaKsLhp21eWpyCwQfx+fPyJEjrS5unjJlis0bIjZr1ky///67XF2NPxr9/vvvW+3B2+u7777Tc889Z9O5L7zwgiZMmGAYDw8P11dffZXifHv27DHbOOCRt956SxUrVkxtiVa1bNlSlStXdmhOwBn++OMPq5tqV6lSRW3atEnDiqy7dOmS1q9fbxh/9tlnlS9fvjSsCABgLxbyAQAAIImtW7emancmb29vBQQEqEqVKurRo4fGjx9v8UPY/9atWzdt2rRJefLkSaNHZZvKlSvrvffesxh7+PChQ5rORgoVKqSZM2davcCcnLJly1r9oP2GDRtSnTMkJMRqs3fQoEFq2bJlqvP+2+TJk60ulHpcmEwmzZgxwzBeqFAhFjX9R3R0tL777jvDeLFixfTjjz/aNUdgYKC+//57w3hCQoK+/PJLu+Yw4u/vr0mTJtmVo06dOlYX6+3Zs0fbt29PUa5z584ZNrlsbU4BGUnt2rUN//7Jnj27AgICVLFiRXXv3l3jxo2z+mG14sWLa/369frkk08cXucTTzyh/fv3q1atWhbjiYmJWrJkidq3by8/Pz+VKlVKdevW1dNPP60nn3xS5cuXV+7cudWoUSNNmTJFMTExFvPkyZNHCxYsSPaup7bYvXu3xZ3dXVxcNGXKFMMPoQEAAAAAAPvQE/o/9ITM0RNKOW9vb61bt07Dhg0zXGR6+vRpDR06VGXKlJG/v7+qV6+upk2bqkmTJqpWrZry5s2r8uXLa/jw4VavNQ4cOFAbN25Uzpw5nfVwMrQaNWpYjW/ZssWh823dujXZY5xxF0A4XnI/p9y5cztl3pw5c1pdfP64PX+2b9+uHTt2GMa7dOli912w2rdvr4EDBxrGQ0JCnHJXPunvhWyDBg2yK8eQIUPUrFkzw/ikSZN09+7dFOU6e/asYYx+Lh5XN27c0Kuvvmr1mDFjxjh04xB7zZw5U4mJiYbxfv36pWE1AABHYCEfAAAA0oSLi4tatmyp1atX648//pCfn196l5Qiw4YNM2wuW9vtyF7jxo1T3rx57c7z4osvGsZ2796d6nwzZswwvDjk5+enTz/9NNU5/8vHx0dffPGF3Xkyu61bt1pt1AYFBT2WO61aM3/+fEVGRhrGx48fL29vb7vnee6556w2T+bOnat79+7ZPc9/ffHFF/Lx8bE7z9tvv63AwEDD+NSpU1OUJzw83DBWokSJ1JYFZEmVK1fWzz//rLNnz6p58+ZOm6ds2bLavXu3vv/+exUtWtTwOJPJpNDQUO3bt08bN27U7t27dfr0aT148MDwHA8PDw0aNEjHjh1Tly5dHF57fHy8+vfvb/Hvi/79+6thw4YOnxMAAAAAADgXPaHUoSeUNXpCHh4eGj9+vHbu3KkWLVpYPfbWrVs6cuSItmzZoq1btyo4ODjZxTz169fX+vXrNWnSJGXPnt2RpWcqfn5+Vu/2NGvWLKvXO1NrypQpyR7z8OFDRUdHO2xOOIe1HqLkvIV8Li4uVhfeRkREOGXejMpaH9Lb21vjx493yDyff/651btTpbQfmhru7u5W76aXGhMnTpSbm5vFWGRkpBYsWJCiPPRzgaQSExPVs2dP3bp1y/CYtm3b6plnnknDqqxLbhPwokWL2r25BgAg7bGQDwAAAE7l4eGhV199VRcvXtTatWsz3R3EPDw8DGu2tlOcPQoXLuyw3c+eeOIJFShQwGIsNDRUsbGxqcr3+++/G8beeOMNhzXj+/bt+9hfOJ4+fbphzMXFRX379nXa3B999JFMJpPhV5MmTZw2tz1mz55tGKtTp45DF6CMGzfOMBYdHW11l2JblChRwmE/cy8vL73//vuG8cWLF6fovcHaQtK4uDibagOyirx58+rnn3/WoUOH1L9/f7m7uzt9Tnd3d7366qv/7JTeq1cvuxZ816tXT19//bXOnTunn376SYUKFXJgtf/n888/14kTJ8zGAwICnHaHUwAAAAAA4Bz0hFKPnlDW6wnVr19f69atU3BwsD788EO7rqsFBATo9ddf144dO7Rr1y49/fTTDqw082rXrp1h7Pr16w67g+bp06e1bt26FB1LXyTjS+5n5OXl5bS5reW29bmzZcsWq/3cjCg2NlYLFy40jA8ePFjFihVzyFx58uTRyJEjDeNbtmzR5cuXHTLXIz169FCFChUckqty5crq3r27YXzu3LkpykM/F0hq9OjR2rhxo2Hcx8dHkyZNSsOKkrd582adO3fOMB4UFGTXnb0BAOnD8pYNAAAAgIPEx8frhx9+0G+//abOnTvr7bffVvny5dO7rFRp0KCBxQuht2/f1rVr11SwYEGHzvfSSy859AP/VatW1fXr183GExMTde7cuRRfTD579qxCQ0MN4z179rS5xv9ydXVVjx499PnnnzssZ2YSFRVldRe9xo0bq1SpUmlYUcZ3//59bd++3TDep08fh85Xq1YtVa5cWceOHbMYX7NmjXr06OGw+Xr27OnQi69du3bVkCFDLH5w4+7du9q1a5fVuw5KsrpD9I4dO9SxY0d7y8T/17hxY924cSO9y7DJ47oz9O3btzVgwACNGDFCPXv21JtvvpkmH0YymUxav3695s+fr1WrVikhIcHmXKdPn9b+/ftVrFgxderUySl3gT127JjGjBljMTZhwgTDHfABAAAAAEDGRE8o9egJZc2e0F9//aW5c+dq2bJlunr1qs15bt26pQMHDqhw4cIqXbq0AgICHFhl5vXiiy9q7NixhvG33npLrVu3tmuxaWJiovr375/iBVHx8fE2z4W0kdzPyOjuZ45g7X3+cXru7NixQ/fu3TOMBwUFOXS+Xr16aeTIkXr48KFZzGQyad26dQ7dPNfanXFt0atXL/32228WY1u3blVMTEyyfbjk+rnWFkYj5bJnz65WrVqldxk2eZz+tvjjjz/02WefWT3m22+/VdGiRdOoopSZNm2aYczFxUUvvfRSGlYDAHAUFvIBAAAgTURGRmrGjBmaOXOmnn/+eX333XfKly9fepeVItYuXJ0+fdrhTdvGjRs7NF/lypUNd4u8ceNGipu2mzdvNozVq1dPJUuWtKk+Iz179sxSTdvUmDt3rmJiYgzj/fr1S8NqMocdO3YYNrrc3d31/PPPO3zOPn36aMSIERZj1nZxs4UjFwVKf+8k165dO8MFo5s3b052IV/hwoXl7u6uBw8emMUmT56sV199NUvtopyeZs2ald4lwEYRERH64YcfNGnSJA0cOFBfffWVvL29nTLXggUL9PHHHxsuME6tiIgIzZ07V3PnzlXJkiX1zjvvqH///g5bVPzogzCW3kNat25tdadZAAAAAACQsdETSjl6Qn/LKj2hkJAQffjhh/rjjz/s2mTrkYSEBO3YsUM7duzQhx9+qL59++r99993+PMws6lYsaKaNm1q+Dy9du2aBgwYoD/++MPmDco+//zzVN2J09J1TmQslhZz/ZszF/JZy/04PXc2bdpkGKtRo4YqVark0PkCAgLUqlUrrVy50mJ848aNDlvIV7BgQTVt2tQhuR55+umnVaBAAYsL9OPj47Vr1y41b97cag5rvdoPP/xQLVq0kKenp921Pu4CAgK0Zs2a9C4DVuzbty/ZxcJBQUHq3bt32hSUQpGRkVq8eLFhvFmzZnwmAwAyKRbyAQAAIIk8efKobt26KT7eZDIpOjpaUVFR/+xGmtzxv//+u7Zu3arffvst2YUiGYG1XcqSe7yplS1bNj3xxBMOzWmt/jt37qQ4z4EDBwxjzvg5VqhQQQEBAZn2LlT2mD59umHMx8dHXbp0ScNqMoeDBw8axmrUqOGUD4m0atXKcCHf1atXdfPmTfn7+9s9T4ECBVL84YrUaNasmeFCPmuv90eyZ8+uJ554wuKdEKOjo9WkSRPNnTtXTz75pN21AunhySeftPjeYTKZFBUVpYiICN28eVO3b99ONldCQoJ+/PFHrV+/XosWLVLlypUdVmd4eLgGDRqkP/74w2E5/ys0NFQDBw7U7Nmz9euvv6pYsWJ255w4caL27NljNu7t7a0ff/zR7vwAAAAAACB59ITM0RP6Gz2h1Pv55581bNgwq3ebskdsbKx+/PFH/f777/r555/VuXNnp8yTWXz66adq2LChYXzRokV64YUXNHv27FTf9fKzzz7Thx9+mKpzHHlnTThHcpvUOWLxrS25nbmAMKOx1s9t0aKFU+a0tpDv0KFDDpuncePGDtsI8ZFs2bKpUaNGhv2fAwcOJLuQ78knn5Snp6fi4uLMYocOHVLbtm01Y8YMh/R9gIzqr7/+Uvv27a1upl2tWrUM2Z+cM2cOm4ADQBb1+PwrAAAAAClStWpVu3aKunnzpg4ePKhFixbp999/V1RUlMXjrl27prZt22r58uVOuygrSSdPntSff/6p4OBgnT17VpcvX9bNmzcVFRWluLg4u3e4u3nzpoMq/Vv+/PmVM2dOh+bMnTu3YSw2NjbFeY4fP24Yq1atWqpqSqlq1aoZ7hybVR0/flx79+41jPfo0UPZs2dPw4oyB2t3oKpRo4ZT5qxQoYJh40OSgoODk22epIQzX19GUnpHry5dulhcyCdJFy9eVMOGDfXMM89o0KBBatmyJY1sZCrffvttio67ePGi9u3bp8WLF2vBggWG7wmSdPbsWTVr1kwbN25UlSpV7K7x2rVratKkic6cOWP1uMDAQHXo0EFPPfWUKleuLD8/P/n6+io6Olp37txRaGiotm/frrVr11r9HbRt2zbVqFFDGzZssOu99dy5c/rggw8sxkaPHs3OkQAAAAAApBF6QqlDT+hv9ITMDR06VN9//73VY7y8vPTss8+qcePGeuKJJ5Q/f37lzZtXJpNJd+7c0Y0bN/Tnn39q27ZtWrp0qeF1xjt37qhLly766KOPNHr0aGc8nEyhQYMGCgoK0syZMw2PmT9/vv766y99++23atCgQbI5Q0NDNWzYMC1btizV9Xh5eaX6HKQtDw8Pq/Hk7thnD2u5k6srK0mPfq61vGfOnFFcXJxD7kjnzN+NRgv5UtLPzZ49u9q0aaMlS5ZYjG/atEnly5fXiy++qAEDBqh27dr2lAtkONevX1fLli2tbhZRvHhxrVq1KkN+DmfatGmGsTx58qhTp05pWA0AwJEcuwUEAAAAHnv+/v5q1aqVJk+erGvXrmn48OGGO4/FxcWpQ4cOVndes8WxY8f0xhtvqFixYqpYsaL69u2rCRMmaOXKlTpy5IiuXr2q6Ohouxu2kqzufGSLPHnyODSfJOXIkcMwlprvwblz5wxj1atXT01JKeasvBmZtQtxEjtqGTl//rxhzFmNHzc3N6sLcS5cuOCQeZz1OqhatapcXFwsxi5fvpyi94eXX35ZAQEBhnGTyaQVK1aoXbt2yp8/v3r06KHp06crNDTU5rqBjKZYsWLq0qWLfvvtN129elUjRoxQtmzZDI+/efOmWrZsqVu3btk1782bN9W0aVOri/hKlCihuXPnKiQkRBMmTFCXLl1Urlw5+fv7y93dXXny5FGpUqXUokULffLJJ9qzZ4927NihJk2aGOa8c+eOWrRooaNHj9pc+8CBAy3uTF61alUNHz7c5rwAAAAAACBt0ROyDz2htMnrbG+++abVRXxubm4aOXKkLly4oHnz5mnw4MGqWbOmihQpouzZs8vb21tFihRRrVq19Oqrr2revHm6cOGC3nnnHat36vroo4/0xRdfOOMhZRoTJkxQ6dKlrR5z8OBBNWzYUE2aNNGECRN08OBBXbt2TfHx8bp165aOHz+uWbNmqXPnzqpYsaLhIr7kFrdkxA//I6nkFsw54veEkfj4eMPY47IJ5oMHD3T16lXDuLP6udWqVTPshyYkJOjKlSsOmSc9fjda+139b0YbKz4SExOjKVOmqE6dOipevLiGDBmiRYsW2d3HAtJbRESEWrVqZfWzCfnz59e6detUqFChNKwsZYKDg63eJbtnz55sJAAAmRgL+QAAAOA03t7e+vrrr7VixQrDC9AxMTEKCgqyevE6pU6ePKlnn31WVapU0cSJE3Xp0iW7cybH2l13bOGMpq3RhWnp70U2KZGYmGh1h6pixYqluq6UKF68uFPyZlQPHjzQr7/+ahivVq2aatWqlYYVZR7WGj+BgYFOm7dkyZKGMWs1pYazXl85c+ZU3rx5LcZMJpPV1/wj2bNn188//2z44Zx/i4iI0Ny5c9WvXz+VKlVKhQsXVrdu3TR+/Hjt3bvXqTudAmnFz89P48aN0+7du602fK5fv65BgwbZNdeAAQN0+vRpw3inTp106NAhde/e3erCwv9q0KCBNm7cqI8//tjwb4jbt2/rueees+nDazNnztT69evNxl1dXTVlyhSrH04CAAAAAAAZFz2h1KMnlFRm7AktWbJE48ePN4wXLlxYW7du1ZgxY5Q/f/4U5w0ICNDYsWO1ZcsWFS5c2PC4999/X5s2bUpVzVmJj4+PVq5cqXz58iV77NatWzVs2DDVqlVLhQoVkqenp/z9/VW5cmUFBQVp8eLFhq/xt99+W82bNzfM7e3tzQfpM4Hk7oB69+5dp81tLXeuXLmcNm9Gcu3aNau/h5zVz82VK5f8/f0N4xm9n2vtd+O1a9dSlKNmzZoaMWJEio69ePGifvjhB3Xp0kX58+dXhQoV1K9fP02bNs1qTwrIaO7du6e2bdsqODjY8BgfHx+tXbtWZcuWTcPKUo5NwAEga2MhHwAAAJyuTZs2+vHHHw3jR48etdrkSonx48erRo0aWr58uV15UisxMdGh+TLqh9ejoqKUkJBgMebu7u60XSYfl8bFI8uWLbO6s13fvn3TsJrMJTw83DDm4+PjtHmt5b5z545D5sidO7dD8qQ29+3bt1OUo3379powYUKKFvP929WrV7VgwQK9+eabqlevnvz8/NSxY0dNnz7dYd87IL3UqVNHGzdutPrhnIULF9r8IZs5c+Zo6dKlhvFnnnlG8+fPt/n9z9XVVR9++KE+//xzw2NOnTql9957L1V5b9y4oTfffNNibPDgwapXr16q8gEAAAAAgIyHnlDK0RNKKrP1hCIiIjRw4EDDuK+vrzZs2KAnn3zS5jkaNGig9evXy9fX12LcZDIpKChI0dHRNs+R2ZUtW1Zbt2512p10BgwYoLFjx1pdyFuwYEGnzA3H8vPzsxqPiopyyryxsbFWN7NMrq6swlov19PTU56enk6bOzP3cx3Ry5WksWPHqnv37qma22Qy6dSpU5o+fbr69++v8uXLq3Dhwurbt6+WL1/ukI0ZAGeIi4tTx44dtXv3bsNjcuTIoVWrVmXYO0LHx8dr9uzZhvEaNWpk2NoBACnDQj4AAACkiX79+qlGjRqG8e+//97muzENHjxYb775psN3QsX/sXbHHWc2Vp25gCkjsrajlqenp3r16pWG1WQu1p6jznweWWv82HKnKkvSayFfbGxsivMMHTpUq1atStWOwv919+5dLV26VP369VOhQoX0wgsvaP/+/TbnA9Jb+fLl9dtvv1k95ptvvkl1XpPJpM8++8wwHhgYqN9//z1Vd+Ez8u6776pz586G8Z9++klhYWEpzjd06FCLTfHChQtbXTQIAAAAAAAyF3pCmRs9oZSZPHmy1Wtjv/76q8qXL2/3PBUqVNAvv/xiGL906ZKmT59u9zyZWcWKFXXgwAE1bdrUYTldXV318ccfa/LkyXJxcbG62IeFfJmDr6+v1U0pU7MoKjWsbeIqSXnz5nXKvBlNevVypczdz3VUL9fV1VVz587V2LFj5eHhYXM9V69e1YwZM/Tss8+qUKFCeuutt3T58mWb8wGO9vDhQz333HPasGGD4TGenp5asmSJXZstONuSJUus/l7ibnwAkPmxkA8AAABpwsXFRe+8845h/MqVK1q2bFmq837yySf66aefUnVOtmzZFBAQoEqVKqlevXpq2rSpnn76abVq1criV506dVJdV1bz4MEDw5i3t7fT5s2RI4fTcmc0V65c0bp16wzjHTt2fGx2ZLSFtR3/nPk8spbbUbsQZpb6W7VqpZCQEH344Yd23wUxLi5Ov//+u+rUqaPOnTvr4sWLduUD0kuLFi3UsWNHw/jKlSt18+bNVOVcv369Tp48aRgfPXq0cubMmaqc1owdO9Zwd/jY2FhNmjQpRXmWLl2q+fPnW4x9++23me6DWgAAAAAAwBg9ocyNnlDyEhMT9f333xvGGzdurHbt2jlsvvbt26tRo0aG8YkTJ8pkMjlsvsyoQIEC2rhxo6ZOnWr3wrrKlStr8+bN+vDDD+Xi4iLJ+mKssmXL2jUf0oarq6vVDSmvX7/ulHmvXbtmNV6gQAGnzJvRpFcvN7n8Gb2f6+ja33nnHZ0+fVovvvii3XcGvn37tr7++muVLl1a77zzju7fv29XPsBeiYmJevHFF63+O8PNzU3z5s3T008/nYaVpZ61TRq8vLzUs2fPNKwGAOAM9v0lBgAAAKTC008/LRcXF8NG0saNG63e9eW/9uzZo08++STZ46pXr67/x959x1dd3v3jf5+QsGRHYnFUQFSKuHFXAffG2Vonam2t39t53522dVQ73LW91VqtcdLhQKWKigqKigxxgRvilhHAQJgh5/dHf+QmkHPIOCfnJHk+H488yvlc53NdrxOTk/Tzzvv6HHbYYbHHHnvEDjvsEFtssUWDLkqOHz8+ozs4tkRFRUUpx7J5QbaysjJrc+eb0tLSWL16dcpxO2ql1759+5Q7MOfqa7QpuxnWd41szt2Y/F27do0rrrgifvazn8UjjzwS9957b4wfP75BO0Ku65FHHolnn3027r333jj66KMbPQ/kyrnnnhujR4+ucyyZTMbEiRPj2GOPrfd8Y8aMSTm28cYbx2mnndbQiGltvfXWceSRR6Z8DY899lj8+te/3uA8v/3tb+s8fvTRRzfo9z8AAACgZVATarnUhDbs9ddfT3sHoksuuSTja15yySXxwgsv1Dk2a9asmDFjRgwePDjj67YkiUQizj777DjttNNi1KhRcd9998X48ePrdQfQgoKC2HvvveP888+P448/Ptq1a1dr/NNPP0157nbbbdfk7DSPfv36pWzY++KLL7KyZrp5CwoKYsstt8zKuvkmXd0x2w1gzVXPzcaGhdnI3rdv37jnnnvi2muvjfvvvz9GjRoVr732WlRXVzdqvhUrVsQ111wTjz76aDz66KOx7bbbNmoeaIpkMhk/+MEP4u9//3vK5xQUFMTdd98dI0aMaMZkDffpp5/GM888k3L8uOOOix49ejRfIACyQiMfAADNpri4OL71rW/FzJkz6xx/6aWXGjTfj3/847SNT8OGDYsbbrghdt555wbNu65M7cLWknXq1Cnl2OLFi7O2bkVFRdbmzifJZDLuuuuulONbbrllHHDAAc2YqOXp1KlTyka+r7/+OmvrpvsaTfd9k6k1sjl3x44dGz1vp06d4uSTT46TTz45VqxYEZMmTYoJEybEhAkTYtKkSQ0uyFVUVMTxxx8f//73v+Pggw9udK6W6owzzog5c+bkOkaj3H333bHJJpvkOkZODR8+PLp27Zry5+WkSZMa1MiX6o91Iv7zB3Lr/oFJJhxyyCEpG/lef/31WLx4cXTt2jXtHKneoz///PM49NBDmxoxli1blnb8Jz/5Sdo72z700EMtatd3AAAAyHdqQi2XmtCGpbtGV1RUFPvvv3/G19x///2jsLAwZVPaCy+80OYb+dZo3759nHHGGXHGGWdERUVFTJ48Od54442YPXt2zJ8/PyorK6OgoCC6desW3/zmN2OHHXaI/fffP3r37l3nfMlkMj788MOU622//fbZeilkWL9+/eKVV16pcyzdf+OmSDfvpptumrFGsnyX7mdLNmu5Ec1Xz81GI1+2arkREZtssklccsklcckll8SiRYtqarkvvPBCvP7662l/76rLe++9F/vvv3+8+uqrsfnmmzcpW0szZ86cOOOMM3Ido1E22WSTuPvuu3Mdo8kuuOCCuPPOO9M+57bbbouTTz65mRI1XmlpadrGWpuAA7QOGvkAAGhWffr0SVm0fffdd+s9z/Tp0+PFF19MOX7BBRfEDTfckJE/Zl+wYEGT52jpunXrFu3atavzYu2qVati2bJlGbvIvbZsFoTzyYQJE+Kjjz5KOX7mmWdGQUFBMyZqeXr27BmLFi2qcyybxf90haV0DSMNkatGvuLi4oys0aFDhxg6dGgMHTo0Iv7znjF9+vR46aWXYvz48fH888/X63u9qqoqTjzxxHjrrbfim9/8ZkaytRQTJkyIjz/+ONcxGmVDzVVtQfv27WPgwIExZcqUOse//PLLBs33zjvvpBzbe++9GzRXfe21114px1avXh0zZ86MPfbYo1FzT5s2rbGxGiTV53+NVatWNUsOAAAAaEvUhFomNaENS3eNbvvtt48uXbpkfM2uXbvG4MGD4/XXX69z/K233sr4mq1Bt27d4sADD4wDDzyw0XPMmjUr5bXuwsLC2HPPPRs9N81r4MCBKcfef//9rKz5wQcfpBxrS3cu69mzZ8qxFStWxMqVK7PW1NiS67nNUcuNiOjRo0eMGDGi5k5lixcvjkmTJsVLL70Uzz33XLzyyiv1urvpF198ESNGjIgpU6a0qb9vWLZsWTz11FO5jtEoreGuoD/96U/jz3/+c9rn3HjjjXHOOec0U6LG29Am4P369Wvzdw8HaC3azm9KAADkhXQXE1esWFHvuzT985//TDk2dOjQuPHGGzN2RxpF24iCgoK0d1T65JNPsrJuS21caai//e1vKccKCgrizDPPbMY0LdOmm26acqysrCxr686ePTvlWLpMDZGt768lS5ZEeXl5nWOJRCJrd1ErKiqK3XffPS6++OJ49NFHo7y8PJ5++uk466yzNng3rIqKirjiiiuykguyKd33U6rvw7osWbIk7a7wJSUlDcpVXxt6P2jIawAAAADaDjWhlklNaMPSXQ/L1jW6iMxdZ6RhJk2alHJs1113ja5duzZjGpoi3V1b33///Xr/XGqI1157rVF5Wps+ffpEIpFIOZ6tem5lZWXMmzcv5Xi+13PT/Wzs06dPVtaM+E/z+EEHHRSXX355vPDCC1FeXh73339/HHbYYRts0Hvttdfi/vvvz1o2WNsVV1wR11xzTdrn/OY3v4mLLrqoeQI10fPPP5/2b1DOOuustO+lALQcGvkAAGhWyWQy7XiqO2qta8KECSnHrr766ozu7tWSCofZ1K9fv5RjqXb/bKpszZtPKioq4sEHH0w5fuCBB7a5u481Rt++fVOOTZ8+PStrrl69Ou0Ot+kyNUS2vg/efPPNlO/Jm222WRQVFWVl3XUVFRXFQQcdFHfeeWd8+umncfHFF6e9+Hz33Xf7gwRanHQ7cDfkTnAb+j0pUzvHrmtDu7ouXLgwK+sCAAAALZuaUMulJpReuq/dbF2ji0h/nc41uux5/vnnU44dcsghzZiEptp1111Tjq1evTrjNcWVK1fGm2++mXJ8l112yeh6+ayoqCht01y26rlvvPFGVFdX1zlWWFgYm2++eUbWycXPxkzVouujW7ducfLJJ8cTTzwRM2fOjMMOOyzt82+44YZmSkZbdt1118Xll1+e9jk//elP45e//GXzBMqAO++8M+VYQUFBjBw5svnCAJBVGvkAAGhWG2q+KCwsrNc8M2bMqPP4ZpttFnvvvXeDc6Xz0ksvZXS+lmq77bZLOfbGG29kZc1szZtPRo0aFcuWLUs5fvbZZzdjmpZr++23TzmWrcLPu+++m/a/XbpMDZGL769MZW+onj17xg033BC33357yuesXr06nn322WZMBU03d+7clGPpmvzWtaEG2yVLltR7roZYvHhx2vHmavwFAAAAWhY1oZZLTSi9dNfDsnWNLiL9dTrX6LKjuro6xowZk3L8u9/9bjOmoan69OkTW221VcrxdE2bjfHyyy/HihUrUo7vt99+GV0v3+Winptu3m222Sbat2+fkXXaUj132223jTFjxsRpp52W8jlvvPFGzJkzpxlT0dbccsst8eMf/zjtc/7rv/4rfv/73zdToqZbtGhRPPzwwynHDznkkIw1HwOQexr5AABoVl988UXa8W7dum1wjq+//joqKirqHNt2223T3smpoVasWBFTp07N2HwtWbodCjNd1IiIeOedd9rExd10O2r16tUrRowY0YxpWq50O1ZOnz49FixYkPE1n3nmmZRjm2++efTu3Tsj63z11Vfx7rvvZmSutaX7vk33/d4cvv/978cRRxyRcvzll19uxjTQdF999VXKsU022aTe83Tt2jXt+Pz58+s9V0PMmzcv7fiGcgEAAABtk5pQy6UmlF6662HZukYXkf46nWt02TF27NiUX5s77LBDDBo0qJkT0VQHHXRQyrGxY8dmdK108w0aNCg222yzjK6X79LVc8eNG5eVNdPVczN5R8QJEyakvPNfY61evTpeeOGFlOO5rOcWFBTELbfckrLGlUwm45VXXmnmVLQVpaWl8V//9V9pn3PWWWfFzTff3EyJMuOBBx6I5cuXpxw/66yzmjENANmmkQ8AgGYzb968eO+991KO9+nTJzp27LjBedLtZNmQP4avj4cffjjtLnltyfDhw1OOTZo0KWbPnp3R9e6///6MzpeP3n777ZgyZUrK8VNPPTU6dOjQjIlarn322Sfl52rlypXxz3/+M+Nr3n333SnH9t9//4yulenvh4qKinj88cdTjqf7fm8up59+esqxlvQHHZlQVlYWyWSyRX707ds315++nJs3b17aZtwBAwbUe67OnTtHr169Uo6/+eabDcpWXxvaSXaLLbbY4Byvv/56Vr/WNvR7yPPPP5/2/B49ejTkUwIAAABsgJpQy6YmlF6662EzZ86M1atXZ3zNqqqqmDlzZqMy0Xh//vOfU45tqImA/HT44YenHHv55Zfjs88+y9ha6eqThx12WMbWaSnS1U+nTZuW8Y1N58+fH0888USj8jTUl19+mfFG92effTblRpHt27fP+F2JG6pLly5x3HHHpRxvS/Xcvn375rwm29iPsrKyXH/6GuSf//xnfP/7349kMpnyOSeddFL89a9/zeiGH83hb3/7W8qxjTfeOI4++uhmTANAtmnkAwCg2Tz11FNpL6bssMMO9Zqnffv2KccqKysbnCudG2+8MaPztWRbb7119O/fP+V4JousyWQyHnjggYzNl6/S3Y0vIuLss89upiQtX+fOnWO//fZLOZ6u6a4x3nzzzXj99ddTjme6+PbAAw+kff9sqAcffDDlbm5du3bNeeEnImLgwIEpx8rLy5sxCTTNmDFj0u7CuttuuzVovm233Tbl2NNPP92gueor3bzt2rVL+/sBAAAA0DapCbVsakLppbtGt2jRopg8eXLG15w0aVLKu1NGRGyzzTYZX7Ote+mll+LJJ5+sc6ykpCROO+20Zk5EJhxyyCEpN8xLJpNpGyka4rnnnkvb9HzyySdnZJ2W5Nvf/nbau4dmup77wAMPxKpVq+ocKygoiIMPPjij6913333NNt/QoUOjU6dOGV2vMdRzaU5jxoyJU089Ne2GCcccc0zce++9UVDQstoj3nzzzZg2bVrK8dNOOy3t/y8CoOVpWT+pAABosZLJZFxzzTVpnzNs2LB6zVVcXJzyoksmdwB94okn0t4trS367ne/m3LspptuioULF2Zknbvuuivju7nmm5UrV6a9+D5kyJB6/yED/3HKKaekHJs0aVI89thjGVvrpz/9acqxbt26ZXw3tFmzZkVpaWlG5lqxYkVcffXVKcePPfbYeu2EnW3pLq67SE1LsXr16rjppptSjm+00Uaxxx57NGjOdM9///334+WXX27QfBuyaNGiePjhh1OO77DDDtG5c+eMrgkAAAC0bGpCrYOaUGobuqZ31113ZXzNDTUX7bnnnhlfsy1buXJlnHfeeSnHf/azn+VFLYWGa9++fdr3t//93/+NpUuXNnmddD8HBw0aFLvsskuT12hpOnToEMcff3zK8T//+c/xxRdfZGStr7/+On7729+mHB8+fHhsttlmGVlrjfvvvz/t3YgbYubMmTFq1KiU49/73vcysk5TqefSXJ599tk48cQTUzbnRvynUfsf//hHFBYWNmOyzLAJOEDbo5EPAIBm8b//+7/x1ltvpRxPJBLxne98p15zFRQURHFxcZ1jb731VnzyySeNyri2efPmuRBShzPPPDPlxdjy8vL49a9/3eQ1Kioq4he/+EWT58l3jz32WMyfPz/luK+/hjvhhBOiZ8+eKccvvvjilHeha4jRo0fH2LFjU46ffPLJWWlq+fnPf552t936uu6662LWrFkpx/Play9doWvTTTdtxiTQeH/605/izTffTDl+/PHHR4cOHRo056GHHpp2/Je//GWD5tuQa6+9Nu0fZR1yyCEZXQ8AAABo+dSEWgc1odR22GGHtNep77rrrvjwww8ztt67774b99xzT8rxTTfdNLbffvuMrcd/akqpru1us8028V//9V/NnIhMuuCCCyKRSNQ5Nnfu3A02o2/IM888E0899VTK8YsuuqhJ87dk55xzTsqxJUuWxP/8z/9kZJ3LLrss5syZ06gcjbVq1aq4+OKLMzLXhRdeGFVVVXWOde/ePU444YSMrNNU6rk0h1deeSVGjBiR9m89hg0bFo888kiLbCBduXJl2rtd77HHHrHddts1YyIAmoNGPgAAsm706NEbvBh96KGHRv/+/es95+67755y7He/+12956nL8uXL49RTT42vvvqqSfO0RltvvXWMGDEi5fitt94azz77bJPWOO+889JeVG8t0u2c2qlTp5zuonf55ZdHIpFI+TF+/PicZUtno402igsuuCDl+KxZs5pcGPvss8/iRz/6UcrxwsLC+MlPftKkNVKZM2dO/L//9/+aNMdrr72W9m58u+++e+y33371mmv8+PHx2WefNSlPOul2LN5xxx0bNNfIkSPTfk2XlZU1MS0tyVdffRVffvll1td59NFH0969MyLS7uicygEHHBAlJSUpx59//vn4wx/+0OB56zJu3LgN/sHCSSedlJG1AAAAgNZBTaj1UBNKLZFIpL2jV1VVVZx00kkZuavX4sWL47vf/W6sXr065XO++93vpmxK2pDS0tK0189LS0sbmbzluvLKK+OWW26pcyyRSMSf//znKCoqyshaffv2Tfm579u3b0bWYH0DBw5M+/72+9//Pl577bVGzb1o0aL4wQ9+kHK8T58+cfrppzdq7rUNGzYs7fduvtp7771j6NChKcdHjRqV9k509fHUU0/Fn//855Tj22yzTZx44olNWiOVJ598Mu64444mzXHrrbfGuHHjUo7/8Ic/jK5du9ZrrkceeSSWLFnSpDypLF26NP7xj3+kHG9oPdf7IXWZPn16HHbYYVFZWZnyOXvttVc8/vjj0alTp2ZMljmjR4+O8vLylOM2HAFonTTyAQCQNUuWLIkLLrggjjvuuLTFpXbt2sVVV13VoLnT3f3lr3/9a4wePbpB861RUVERhx56aDz99NONOr8tuPLKK6Ndu3Z1jq1evTpOOOGEmDx5cqPm/p//+Z+0O021Fp9//nnar7ETTjghunfv3oyJWo+LL744Ntlkk5Tjf/nLX+LSSy9t1NxffvllHHzwwWn/oOPcc8+Nfv36NWr++rjvvvsavRPlO++8E0cccUQsW7Ys5XMa8kcvo0ePjv79+8dpp50Wb7zxRqMypfK3v/0t/v3vf6ccP+ywwzK6Hm3Lu+++G/3794+LLrooKw19yWQy/vKXv8SJJ54YK1euTPm8o48+OvbYY48Gz19YWLjB3Z5//vOfx+23397gudf24osvxgknnJByx9eI/zQVNrQQCwAAALROakKtk5pQaueff37Kz01ExLRp0+KEE06IioqKRq+xcOHCOPbYY1PeGS7iP9cL021y2Jp9/fXXMXXq1IzNt3Tp0jjnnHPisssuS/mciy++OA466KCMrUnu/O53v0vZkLlixYo49thj4+OPP27QnMuXL48TTjgh7QaSV199dXTo0KFB87Y2v/vd79I2G5555pnx+OOPN2ruF198MU488cS0v4v89re/TXnH2Uw477zz4uGHH27Uuf/617/Svqf37NmzQZvKXnHFFfHNb34zfvGLX2S0JpZMJuNHP/pRzJs3r87xb37zm+4gRpO9++67ccghh8TXX3+d8jm77LJLPPHEE9GlS5dmTJZZ6TYB32ijjWyqCtBKaeQDACCj5s2bF2PHjo1zzjkn+vTpE3/6058imUymPecnP/lJ7LLLLg1aZ8SIESkvrK9evTpOOumk+Mtf/tKgOf/973/HkCFDYsKECbWOd+zYsUHztHaDBw9OewehRYsWxfDhw+OOO+7Y4H/7NebNmxfHH398XH/99bWOt2/fvklZ81VpaWna4oEdtRqve/fucdNNN6V9zm9/+9s44YQTYu7cufWe95lnnokhQ4bEO++8k/I5m266adq73TXWut8H119/fRx77LENyv+Pf/wj9tprr7RNiCeccELsv//+Dcq2atWquO+++2KnnXaKvffeO2688cb45JNPGjTH2pYtWxaXXXZZfP/730/5nIMOOqhBu3VDXZYvXx5//OMfo3///nHyySfHI488EsuXL2/yvBMnTox99tknzj333Fi1alXK53Xv3j3tbrAbcuGFF0afPn1SjieTyfjhD38Yp59+esoiairLli2Lq666KoYPH562MFZQUBC//e1vGzQ3AAAA0LqoCbV+akKp9evXL84999y0z3nyySdj1113jYkTJzZ4/ueffz523nnnDd718Ic//GGbvVPRvHnzYrfddovdd9897rrrrli4cGGj5kkmk/HII4/ETjvtlPZOWvvss0+T7wJK/hg4cGDaO8h+8sknsc8++8RLL71Ur/k+++yzOOCAA9J+z+65554xcuTIBiZtffbaa6+0dy1c00h55ZVXpt0wcW2rV6+OP/7xj3HggQfG4sWLUz7vyCOPjOOPP77BmTdk7Z9hq1atihNPPDEuu+yyeudfsWJF/OpXv4qTTjop7QaLv/nNb6K4uLhB2RYuXBi/+93vom/fvjFixIi47777mtRk/uWXX8axxx4b99xzT8rn/PCHP2z0/BARUVZWFgcddFDaOud2220XTz/9dPTo0aP5gmXYp59+Gs8880zK8RNPPLHed+AEoGUpzHUAAADyy5tvvhmHHnpog85ZsmRJVFRUxPz58xu8i9dRRx0Vv/nNbxp0TsR/dvA6++yz47bbbqtzfMWKFXHuuefG3XffHeeff34ceuih0bNnz/We9+WXX8bjjz8eo0aNivHjx683XlRUFFdddVWj74DVWv3+97+PZ555Jt599906x9fsWHnbbbfFhRdeGEceeWSdn/+333477r///rj11lvXaxZIJBJx6aWXpt31siVKJpNx1113pRwfMGBA7Lfffs2YqPU56aST4plnnkm7c9lDDz0UzzzzTPzwhz+MU045JXbYYYf1dn6srKyMcePGxa233hpPPfVU2jULCwvjH//4R3Tr1i0jr2Ftv/jFL+KKK66o9UcQo0ePjueeey7OPffcOPXUU2P77bdf77yKiop48skn409/+tMGi4ybbrppyvfT+nrllVfilVdeiUsuuSR233332G+//WLIkCGx6667xlZbbZVyZ80VK1bE66+/Ho8//njceeedaZsNCwoKFMnJqOXLl8eoUaNi1KhR0aVLlzj00ENjyJAhsfPOO8dOO+0UJSUlac//6quv4o033oi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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "alminer.plot_bands(observations, mark_freq=[106.5, 245.0, 366.3])" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "## 3.4 Plot observed frequencies in each band \n", "\n", "The `alminer.plot_observations` function creates a detailed plot of observations in each band showing the exact observed frequency ranges. Observation numbers are the input DataFrame's index values. \n", "\n", "
\n", "\n", "
\n", "Details of plot_observations function\n", "\n", "* Description: Create detailed plots of observations in each band. The x-axis displays the observation number 'Obs' column in the input DataFrame.
\n", "
\n", "* Command:
\n", " * alminer.**plot_observations**(_observations, mark_freq='', z=0., mark_CO=False, showfig=True, savefig=None_)
\n", "
\n", "* Parameters:
\n", " * **observations (pandas.DataFrame)** : This is likely the output of e.g. `conesearch`, `target`, `catalog`, and `keysearch` functions.
\n", " * **mark_freq (list of float64, optional, default: '')** : A list of frequencies to mark on the plot with dashed lines.
\n", " * **z (float64, optional, default: 0)** : Redshift by which the frequencies given in 'mark_freq' and 'mark_CO' parameters should be shifted. Currently only one redshift can be given for all targets.
\n", " * **mark_CO (bool, optional, default: False)** : mark CO, 13CO, and C18O frequencies on the plot with dashed lines.
\n", " * **showfig (bool, optional, default: True)** : Display the plot (*showfig=True*) or not (*showfig=False*).
\n", " * **savefig (str, optional, default: None)** : Filename (without an extension) for the plot to be saved as. Default file extension is PDF. Figure is saved in a subdirectory called 'reports' within the current working directory. If the directory doesn't exist, it will be created. Default quality is dpi=300.
\n", "
\n", "***\n", "
" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "### Example 3.4.1: plot observed frequencies in each band and mark CO lines" ] }, { "cell_type": "code", "execution_count": 32, "metadata": { "deletable": false, "editable": false, "scrolled": false }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "alminer.plot_observations(observations, mark_CO=True)" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "### Example 3.4.2: plot observed frequencies and mark frequencies of choice" ] }, { "cell_type": "code", "execution_count": 33, "metadata": { "deletable": false, "editable": false, "scrolled": false }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "alminer.plot_observations(observations, mark_freq=[106.5, 245.0, 366.3])" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "## 3.5 Plot sky distribution \n", "\n", "The `alminer.plot_sky` function creates a plot of the distribution of targets on the sky.\n", "\n", "
\n", "\n", "
\n", "Details of plot_sky function\n", " \n", "* Description: Plot the distribution of the targets on the sky.
\n", "
\n", "* Command:
\n", " * alminer.**plot_sky**(_observations, showfig=True, savefig=None_)
\n", "
\n", "* Parameters:
\n", " * **observations (pandas.DataFrame)** : This is likely the output of e.g. `conesearch`, `target`, `catalog`, and `keysearch` functions.
\n", " * **showfig (bool, optional, default: True)** : Display the plot (*showfig=True*) or not (*showfig=False*).
\n", " * **savefig (str, optional, default: None)** : Filename (without an extension) for the plot to be saved as. Default file extension is PDF. Figure is saved in a subdirectory called 'reports' within the current working directory. If the directory doesn't exist, it will be created. Default quality is dpi=300.
\n", "
\n", "*** \n", "
" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "### Example 3.5.1: plot sky distribution" ] }, { "cell_type": "code", "execution_count": 34, "metadata": { "deletable": false, "editable": false, "scrolled": false }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "alminer.plot_sky(observations)" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "***\n", "\n", "# 4. Create reports \n", "\n", "This section introduces different ways to save query results:
\n", "\n", "* [4.1 - Export results as a table (*alminer.save_table*)](#save_table)
\n", "* [4.2 - Save overview plots for each target (*alminer.save_source_reports*)](#save_source_reports)
\n", "\n" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "## 4.1 Export results as a table \n", "\n", "The `alminer.save_table` function writes the provided DataFrame to a table in CSV format in the 'tables' folder within the current working directory. If the 'tables' folder does not exist, it will be created.\n", "\n", "
\n", "\n", "
\n", "Details of save_table function\n", "\n", "* Description: Write the DataFrame with the query results to a table in CSV format. The table will be saved in the 'tables' subdirectory within the current working directory. If the directory doesn't exist, it will be created.
\n", "
\n", "* Command:
\n", " * alminer.**save_table**(_observations, filename=\"mytable\"_)
\n", "
\n", "* Parameters:
\n", " * **observations (pandas.DataFrame)** : This is likely the output of e.g. `conesearch`, `target`, `catalog`, and `keysearch` functions.
\n", " * **filename (str)** : Name of the table to be saved in the 'tables' subdirectory.
\n", "***\n", "
" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "### Example 4.1.1: save query results as a table" ] }, { "cell_type": "code", "execution_count": 35, "metadata": { "deletable": false, "editable": false }, "outputs": [], "source": [ "alminer.save_table(observations, filename=\"galaxy_chemistry\")" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "## 4.2 Save overview plots \n", "\n", "The `alminer.save_source_reports` function creates overview plots of observed frequencies, angular resolution, LAS, frequency and velocity resolutions for each source in the provided DataFrame and saves them in PDF format in the 'reports' folder in the current working directory. If the 'reports' folder does not exist, it will be created. The reports are named after the target names. \n", "\n", "Note: Currently, the grouping is done based on ALMA target names, so the same source with a slighly different naming schemes will be treated as separate targets.\n", "\n", "
\n", "\n", "
\n", "Details of save_source_reports function\n", "\n", "* Description: Create overview plots of observed frequencies, angular resolution, LAS, frequency and velocity resolutions for each source in the provided DataFrame and save them in PDF format in the 'reports' subdirectory.\n", " If the directory doesn't exist, it will be created.
\n", "
\n", "* Command:
\n", " * alminer.**save_source_reports**(_observations, mark_freq='', z=0., mark_CO=False_)
\n", "
\n", "* Parameters:
\n", " * **observations (pandas.DataFrame)** : This is likely the output of e.g. `conesearch`, `target`, `catalog`, and `keysearch` functions.
\n", " * **mark_freq (list of float64, optional, default: '')** : A list of frequencies to mark on the plot with dashed lines.
\n", " * **z (float64, optional, default: 0)** : Redshift by which the frequencies given in 'mark_freq' and 'mark_CO' parameters should be shifted. Currently only one redshift can be given for all targets.
\n", " * **mark_CO (bool, optional, default: False)** : mark CO, 13CO, and C18O frequencies on the plot with dashed lines.
\n", "***\n", "
" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "### Example 4.2.1: save overview plots of each target with CO lines marked" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "Let's first narrow down our large query to a smaller subset to only a range of frequencies (Band 3) and angular resolutions < 0.5\":" ] }, { "cell_type": "code", "execution_count": 36, "metadata": { "deletable": false, "editable": false, "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "--------------------------------\n", "Number of projects = 8\n", "Number of observations = 17\n", "Number of unique subbands = 62\n", "Total number of subbands = 62\n", "8 target(s) with ALMA data = ['NGC1266', 'Arp220', 'ngc6240', 'n613', 'NGC4418', 'NGC7469', 'Cloverleaf', 'GDS-48417']\n", "--------------------------------\n" ] } ], "source": [ "selected = observations[(observations[\"min_freq_GHz\"] > 80.0) & \n", " (observations[\"max_freq_GHz\"] < 115.0) & \n", " (observations[\"ang_res_arcsec\"] < 0.5)]\n", "alminer.summary(selected)" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "Now we can create and save plots for each source, with CO and its isotopologues marked:" ] }, { "cell_type": "code", "execution_count": 37, "metadata": { "deletable": false, "editable": false }, "outputs": [], "source": [ "alminer.save_source_reports(selected, mark_CO=True)" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "***\n", "\n", "# 5. Download data \n", "\n", "The `alminer.download_data` function allows the user to download the data from the archive directly to a location on the local disk. \n", "\n", "#### General notes about the download function:\n", " * The default download location is the 'data' subdirectory in the current working directory. The desired location can be changed by setting the *location* parameter to the desired path.\n", " * To check the amount of disk space needed, the *dryrun* parameter can be toggled to *True* which will only stage the data and write to the terminal how much space is required.\n", " * By default, tar files (including both raw and FITS data products) associated with uids in the provided DataFrame will be downloaded.\n", " * To download only the FITS data products, the *fitsonly* parameter can be toggled to *True*.\n", " * It is possible to provide a list of strings (to the *filename_must_include* parameter) that the user wants to be included in the filenames that are downloaded. This is useful to restrict the download further, for example, to data that have been primary beam corrected ('.pbcor') or that have the science target ('_sci' or the ALMA target name). The choice is largely dependent on the cycle and type of reduction that was performed, and data products that exist on the archive as a result.\n", " * A list of URLs (files) to be downloaded from the archive can be printed to the terminal by setting *print_urls=True*.\n", "\n", "
\n", "\n", "
\n", "Details of download_data function\n", "\n", "* Description: Download ALMA data from the archive to a location on the local machine.
\n", "
\n", "* Command:
\n", " * alminer.**download_data**(_observations, fitsonly=False, dryrun=False, print_urls=False, filename_must_include='', location='./data'_)
\n", "
\n", "* Parameters:
\n", " * **observations (pandas.DataFrame)** : This is likely the output of e.g. `conesearch`, `target`, `catalog`, and `keysearch` functions.
\n", " * **fitsonly (bool, optional, default: False)** : Download individual fits files only (*fitsonly=True*). This option will not download the raw data (e.g. 'asdm' files), weblogs, or README files.
\n", " * **dryrun (bool, optional, default: False)** : Allow the user to do a test run to check the size and number of files to download without actually downloading the data (*dryrun=True*). To download the data, set *dryrun=False*.
\n", " * **print_urls (bool, optional, default: False)** : Write the list of urls to be downloaded from the archive to the terminal.
\n", " * **filename_must_include (list of str, optional, default: '')** : A list of strings the user wants to be contained in the url filename. This is useful to restrict the download further, for example, to data that have been primary beam corrected ('.pbcor') or that have the science target or calibrators (by including their names). The choice is largely dependent on the cycle and type of reduction that was performed and data products that exist on the archive as a result. In most recent cycles, the science target can be filtered out with the flag '_sci' or its ALMA target name.
\n", " * **location (str, optional, default: './data')** : directory where the downloaded data should be placed.
\n", "***\n", "
" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "### Example 5.1: download all data products (raw + products)" ] }, { "cell_type": "code", "execution_count": 38, "metadata": { "deletable": false, "editable": false, "scrolled": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "================================\n", "This is a dryrun. To begin download, set dryrun=False.\n", "================================\n", "Download location = ./data\n", "Total number of Member OUSs to download = 17\n", "Selected Member OUSs: ['uid://A001/X121/X3d5', 'uid://A001/X121/X3d8', 'uid://A001/X121/X3d2', 'uid://A001/X121/X3cf', 'uid://A001/X2fe/Xcd2', 'uid://A001/X2fe/Xcd6', 'uid://A001/X2fe/Xcce', 'uid://A001/X2fe/X728', 'uid://A001/X2fe/X724', 'uid://A001/X5a4/X155', 'uid://A001/X87d/X1fb', 'uid://A001/X87d/X1f5', 'uid://A001/X87d/X207', 'uid://A001/X1290/X17', 'uid://A001/X1288/X6c2', 'uid://A001/X1288/X6be', 'uid://A001/X1590/Xd85']\n", "Number of files to download = 98\n", "Needed disk space = 4.1 TB\n", "--------------------------------\n" ] } ], "source": [ "alminer.download_data(selected, fitsonly=False, dryrun=True, location='./data', print_urls=False)" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "### Example 5.2: download only continuum FITS images for the science target" ] }, { "cell_type": "code", "execution_count": 39, "metadata": { "deletable": false, "editable": false, "scrolled": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "================================\n", "This is a dryrun. To begin download, set dryrun=False.\n", "================================\n", "Download location = ./data\n", "Total number of Member OUSs to download = 20\n", "Selected Member OUSs: ['2013.1.00988.S_uid___A001_X121_X3d5_external_ari_l_001_of_001.tar', '2013.1.00988.S_uid___A001_X121_X3d8_external_ari_l_001_of_001.tar', '2013.1.00988.S_uid___A001_X121_X3d2_external_ari_l_001_of_001.tar', '2013.1.00988.S_uid___A001_X121_X3cf_external_ari_l_001_of_001.tar', '2015.1.00167.S_uid___A001_X2fe_Xcd2_external_ari_l_001_of_001.tar', '2015.1.00167.S_uid___A001_X2fe_Xcd6_external_ari_l_001_of_001.tar', '2015.1.00167.S_uid___A001_X2fe_Xcce_external_ari_l_001_of_001.tar', '2015.1.01439.S_uid___A001_X2fe_X728_001_of_001.tar', '2015.1.01439.S_uid___A001_X2fe_X728_external_ari_l_001_of_001.tar', '2015.1.01439.S_uid___A001_X2fe_X724_001_of_001.tar', '2015.1.01439.S_uid___A001_X2fe_X724_external_ari_l_001_of_001.tar', '2015.1.01487.S_uid___A001_X5a4_X155_001_of_001.tar', '2015.1.01487.S_uid___A001_X5a4_X155_external_ari_l_001_of_001.tar', '2016.1.00387.S_uid___A001_X87d_X1fb_001_of_001.tar', '2016.1.00387.S_uid___A001_X87d_X1f5_001_of_001.tar', '2016.1.00387.S_uid___A001_X87d_X207_001_of_001.tar', '2017.1.00078.S_uid___A001_X1290_X17_001_of_001.tar', '2017.1.01232.S_uid___A001_X1288_X6c2_001_of_001.tar', '2017.1.01232.S_uid___A001_X1288_X6be_001_of_001.tar', '2021.1.01188.S_uid___A001_X1590_Xd85_001_of_001.tar']\n", "Number of files to download = 36\n", "Needed disk space = 496.9 MB\n", "File URLs to download = https://almascience.eso.org/dataPortal/member.uid___A001_X121_X3d5.ari_l.NGC1266_sci.spw0_1_2_3_100384MHz.12m.cont.I.tt0.pbcor.fits\n", "https://almascience.eso.org/dataPortal/member.uid___A001_X121_X3d5.ari_l.NGC1266_sci.spw0_1_2_3_100384MHz.12m.cont.I.tt1.pbcor.fits\n", "https://almascience.eso.org/dataPortal/member.uid___A001_X121_X3d8.ari_l.NGC1266_sci.spw0_1_2_3_104122MHz.12m.cont.I.tt0.pbcor.fits\n", "https://almascience.eso.org/dataPortal/member.uid___A001_X121_X3d8.ari_l.NGC1266_sci.spw0_1_2_3_104122MHz.12m.cont.I.tt1.pbcor.fits\n", "https://almascience.eso.org/dataPortal/member.uid___A001_X121_X3d2.ari_l.NGC1266_sci.spw0_1_2_3_96620MHz.12m.cont.I.tt0.pbcor.fits\n", "https://almascience.eso.org/dataPortal/member.uid___A001_X121_X3d2.ari_l.NGC1266_sci.spw0_1_2_3_96620MHz.12m.cont.I.tt1.pbcor.fits\n", "https://almascience.eso.org/dataPortal/member.uid___A001_X121_X3cf.ari_l.NGC1266_sci.spw0_1_2_3_92906MHz.12m.cont.I.tt0.pbcor.fits\n", "https://almascience.eso.org/dataPortal/member.uid___A001_X121_X3cf.ari_l.NGC1266_sci.spw0_1_2_3_92906MHz.12m.cont.I.tt1.pbcor.fits\n", "https://almascience.eso.org/dataPortal/member.uid___A001_X2fe_Xcd2.ari_l.Arp220_sci.spw0_1_2_3_95530MHz.12m.cont.I.tt0.pbcor.fits\n", "https://almascience.eso.org/dataPortal/member.uid___A001_X2fe_Xcd2.ari_l.Arp220_sci.spw0_1_2_3_95530MHz.12m.cont.I.tt1.pbcor.fits\n", "https://almascience.eso.org/dataPortal/member.uid___A001_X2fe_Xcd6.ari_l.Arp220_sci.spw0_1_2_3_99090MHz.12m.cont.I.tt0.pbcor.fits\n", "https://almascience.eso.org/dataPortal/member.uid___A001_X2fe_Xcd6.ari_l.Arp220_sci.spw0_1_2_3_99090MHz.12m.cont.I.tt1.pbcor.fits\n", "https://almascience.eso.org/dataPortal/member.uid___A001_X2fe_Xcce.ari_l.Arp220_sci.spw0_1_2_3_92025MHz.12m.cont.I.tt0.pbcor.fits\n", "https://almascience.eso.org/dataPortal/member.uid___A001_X2fe_Xcce.ari_l.Arp220_sci.spw0_1_2_3_92025MHz.12m.cont.I.tt1.pbcor.fits\n", "https://almascience.eso.org/dataPortal/member.uid___A001_X2fe_X728.ngc6240_sci.spw19_25_27_29.cont.I.tt0.pbcor.fits\n", "https://almascience.eso.org/dataPortal/member.uid___A001_X2fe_X728.ngc6240_sci.spw19_25_27_29.cont.I.tt1.pbcor.fits\n", "https://almascience.eso.org/dataPortal/member.uid___A001_X2fe_X728.ari_l.ngc6240_sci.spw0_1_2_3_101029MHz.12m.cont.I.tt0.pbcor.fits\n", "https://almascience.eso.org/dataPortal/member.uid___A001_X2fe_X728.ari_l.ngc6240_sci.spw0_1_2_3_101029MHz.12m.cont.I.tt1.pbcor.fits\n", "https://almascience.eso.org/dataPortal/member.uid___A001_X2fe_X724.ngc6240_sci.spw25_27_29_31.cont.I.tt0.pbcor.fits\n", "https://almascience.eso.org/dataPortal/member.uid___A001_X2fe_X724.ngc6240_sci.spw25_27_29_31.cont.I.tt1.pbcor.fits\n", "https://almascience.eso.org/dataPortal/member.uid___A001_X2fe_X724.ari_l.ngc6240_sci.spw0_1_2_3_92108MHz.12m.cont.I.tt0.pbcor.fits\n", "https://almascience.eso.org/dataPortal/member.uid___A001_X2fe_X724.ari_l.ngc6240_sci.spw0_1_2_3_92108MHz.12m.cont.I.tt1.pbcor.fits\n", "https://almascience.eso.org/dataPortal/member.uid___A001_X5a4_X155.n613_sci.spw25_27_29_31_33.cont.I.tt0.pbcor.fits\n", "https://almascience.eso.org/dataPortal/member.uid___A001_X5a4_X155.n613_sci.spw25_27_29_31_33.cont.I.tt1.pbcor.fits\n", "https://almascience.eso.org/dataPortal/member.uid___A001_X5a4_X155.ari_l.n613_sci.spw0_1_2_3_4_103190MHz.12m.cont.I.tt0.pbcor.fits\n", "https://almascience.eso.org/dataPortal/member.uid___A001_X5a4_X155.ari_l.n613_sci.spw0_1_2_3_4_103190MHz.12m.cont.I.tt1.pbcor.fits\n", "https://almascience.eso.org/dataPortal/member.uid___A001_X87d_X1fb.NGC4418_sci.spw25_27_29_31.cont.I.tt0.pbcor.fits\n", "https://almascience.eso.org/dataPortal/member.uid___A001_X87d_X1fb.NGC4418_sci.spw25_27_29_31.cont.I.tt1.pbcor.fits\n", "https://almascience.eso.org/dataPortal/member.uid___A001_X87d_X1f5.NGC4418_sci.spw25_27_29_31.cont.I.tt0.pbcor.fits\n", "https://almascience.eso.org/dataPortal/member.uid___A001_X87d_X1f5.NGC4418_sci.spw25_27_29_31.cont.I.tt1.pbcor.fits\n", "https://almascience.eso.org/dataPortal/member.uid___A001_X87d_X207.NGC4418_sci.spw25_27_29_31.cont.I.tt0.pbcor.fits\n", "https://almascience.eso.org/dataPortal/member.uid___A001_X87d_X207.NGC4418_sci.spw25_27_29_31.cont.I.tt1.pbcor.fits\n", "https://almascience.eso.org/dataPortal/member.uid___A001_X1290_X17.NGC7469_sci.spw19_21.cont.I.pbcor.fits\n", "https://almascience.eso.org/dataPortal/member.uid___A001_X1288_X6c2.Cloverleaf_sci.spw22_24_26.cont.I.pbcor.fits\n", "https://almascience.eso.org/dataPortal/member.uid___A001_X1288_X6be.Cloverleaf_sci.spw22_24_26.cont.I.pbcor.fits\n", "https://almascience.eso.org/dataPortal/member.uid___A001_X1590_Xd85.GDS-48417_sci.spw16.cont.I.pbcor.fits\n", "--------------------------------\n" ] } ], "source": [ "alminer.download_data(selected, fitsonly=True, dryrun=True, location='./data', \n", " filename_must_include=['_sci', '.pbcor', 'cont'], print_urls=True)" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "***\n", "\n", "# 6. Advanced query features \n", "\n", "This Section introduces:
\n", "\n", "* [6.1 - Create and run your own TAP query](#own_query)
\n", "* [6.2 - Convert results to ALminer format (*alminer.filter_results*)](#filter_results)
" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "## 6.1 Create and run your own TAP query \n", "\n", "You can use [Astronomical Data Query Language (ADQL)](https://www.ivoa.net/documents/ADQL/20180112/PR-ADQL-2.1-20180112.html) to create more complex queries relevant for your work. \n", "\n", "The ALminer querying functions provide an option to print the query string that was used to search the ALMA archive for the user by setting *print_query* parameter to *True*. \n", "\n", "Once you have created the query string of interest, you can run it using the `alminer.run_query` function.
\n", "
\n", "\n", "
\n", "Details of run_query function\n", "\n", "* Description: Run the TAP query through PyVO service.
\n", "
\n", "* Command:
\n", " * alminer.**run_query**(_query_str_)
\n", "
\n", "* Parameters:
\n", " * **query_str (str)** : ADQL query to send to the PyVO TAP service
\n", "***\n", "
" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "### Example 6.1.1: Retrieve the ADQL query string used in ALminer query functions" ] }, { "cell_type": "code", "execution_count": 40, "metadata": { "deletable": false, "editable": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "================================\n", "alminer.keysearch results \n", "================================\n", "Your query is: SELECT * FROM ivoa.obscore WHERE ((LOWER(science_keyword) LIKE '%galaxy chemistry%')) AND (LOWER(data_rights) LIKE '%public%') AND (LOWER(scan_intent) LIKE '%target%') ORDER BY proposal_id\n", "--------------------------------\n", "Number of projects = 54\n", "Number of observations = 383\n", "Number of unique subbands = 1316\n", "Total number of subbands = 1529\n", "Total number of targets with ALMA data = 79\n", "--------------------------------\n" ] } ], "source": [ "obs = alminer.keysearch({\"science_keyword\": [\"'Galaxy chemistry'\"]}, print_targets=False, print_query=True)" ] }, { "cell_type": "markdown", "metadata": { "deletable": false }, "source": [ "### Example 6.1.2: Modify the query string and run the query\n", "\n", "In the previous example, we searched the ALMA archive for projects within the science keyword 'Galaxy chemistry'. But let's say you want to exclude all observations of the target M83 at the same time.\n", "\n", "You can modify the query string accordingly using the 'NOT LIKE' logic:" ] }, { "cell_type": "code", "execution_count": 44, "metadata": { "deletable": false, "scrollable": true }, "outputs": [], "source": [ "query_str = \"SELECT * FROM ivoa.obscore WHERE ((LOWER(science_keyword) LIKE '%galaxy chemistry%')) AND (LOWER(data_rights) LIKE '%public%') AND (LOWER(scan_intent) LIKE '%target%') AND (LOWER(target_name) NOT LIKE '%m83%') ORDER BY proposal_id\"" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "And run the query" ] }, { "cell_type": "code", "execution_count": 45, "metadata": { "deletable": false, "editable": false }, "outputs": [], "source": [ "myquery = alminer.run_query(query_str)" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "## 6.2 Convert your own query results into ALminer format \n", "\n", "To make use of other `alminer` functions, the resulting DataFrame returned from running your query has to be converted to `alminer` format where a few useful columns are added to the DataFrame. This can be done through the `alminer.filter_results` function.
\n", "
\n", "
\n", "Details of filter_results function\n", "\n", "* Description: Add a few new useful columns to the pandas.DataFrame with the query results from the PyVO TAP service and return the full query DataFrame and optionally a summary of the results.
\n", "
\n", "* Command:
\n", " * alminer.**filter_results**(_TAP_df, print_targets=True_)
\n", "
\n", "* Parameters:
\n", " * **TAP_df (pandas.DataFrame)** : This is likely the output of `run_query` function.
\n", " * **print_targets (bool, optional)** : Print a list of targets with ALMA data (ALMA source names) to the terminal.
\n", "* Returns:
\n", " * **pandas.DataFrame** containing the query results.
\n", "***\n", "
" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "### Example 6.2.1: Convert query results to ALminer format" ] }, { "cell_type": "code", "execution_count": 46, "metadata": { "deletable": false, "editable": false, "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "--------------------------------\n", "Number of projects = 49\n", "Number of observations = 363\n", "Number of unique subbands = 1239\n", "Total number of subbands = 1448\n", "77 target(s) with ALMA data = ['LESS J0332-2756', 'PKS1830-211', 'ngc4418', 'NGC7469', 'NGC_1097', 'Arp220', 'NGC_5253', 'NGC253', 'NGC1266', 'vv114', 'Mystery_Object', 'Sgr_A_star', 'SDSS_J080430.99+360718.1', 'NGC_3256', 'ngc_3256', 'NGC_55', 'ngc3256', 'NGC4418', 'NGC_3627_BE', 'circinus', 'IRAS_F16399-0937', 'ngc6240', 'n613', 'ngc613', 'ngc253', 'N159-E', 'N159-W', 'N159-W_south', 'IRAS_13120-5453', 'ngc4945', 'HE1029-1831', 'HE0433-1028', 'HE1108-2813', 'HE1353-1917', 'HE0108-4743', 'Y051916.87-693757.5', 'Y054826.21-700850.2', 'Y044854.41-690948.3', 'Y050355.87-672045.1', 'Y052343.48-680033.9', 'Y045406.43-664601.4', 'Y051344.99-693510.6', 'Y052333.40-693712.1', 'Y050953.89-685336.7', 'ST10', 'Y054629.32-693514.2', 'Y045100.16-691934.4', 'Y051912.27-690907.2', 'Y054248.90-694446.3', 'Y045622.61-663656.9', 'Y053952.11-710930.7', 'ST6', 'Y052423.39-693904.7', 'Y052210.08-673459.6', 'Y045358.57-691106.7', 'ngc4526', 'Cloverleaf', 'ngc7465', 'NGC_253', 'IRAS_00091-0738', 'IRAS_22491-1808', 'IRAS_00456-2904', 'IRAS_12112+0305', 'IRAS_03250+1606', 'IRAS_16090-0139', 'IRAS_00188-0856', 'IRAS_01166-0844', 'IRAS_13335-2612', 'IRAS_01569-2939', 'IRAS_22206-2715', 'IRAS_10378+1108', 'NGC4945', 'NGC1068', 'GDS-41053', 'GDS-48417', 'IRAS_F05189-2524', 'ngc1068']\n", "--------------------------------\n" ] } ], "source": [ "myquery_obs = alminer.filter_results(myquery)" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "Now you can use all the analysis and plotting routines presented before on these observations." ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "***\n", "\n", "# 7. Glossary of functions \n", "\n", "### Query Functions\n", "\n", "
\n", "
\n", "Details of catalog function\n", "\n", "* Description: Query the ALMA archive for a list of coordinates or a catalog of sources based on their coordinates.
\n", "
\n", "* Command:
\n", " * alminer.**catalog**(_target_df, search_radius=1., point=False, public=True, published=None, print_query=False, print_targets=True_)
\n", "
\n", "* Parameters:
\n", " * **target_df (pandas.DataFrame)** : DataFrame with source names and coordinates; it must have at least the following three columns: \"*Name*\", \"*RAJ2000*\", \"*DEJ2000*\". \"*Name*\" describes the target name (can be numbers or dummy names), \"*RAJ2000*\" is the right ascension in degrees (ICRS), \"*DEJ2000*\" is the declination in degrees (ICRS)
\n", " * **search_radius (float, optional, default: 1 arcmin)** : Search radius (in arcmin) around the source coordinates.
\n", " * **point (bool, optional, default: True)** : Search whether the specified position (ra, dec) is contained within any ALMA observations (*point=True*) or query all ALMA observations that overlap with a cone centred at the specified position (ra, dec) and extending the search_radius (*point=False*). In the case of *point=True*, the search_radius parameter is ignored. Note that *point=True* is much faster than *point=False* but the latter should be used if one is interested in searching for mosaics.
\n", " * **public (bool, optional, default: True)** : Search for public data (*public=True*), proprietary data (*public=False*), or both public and proprietary data (*public=None*).
\n", " * **published (bool, optional, default: None)** : Search for published data only (*published=True*), unpublished data only (*published=False*), or both published and unpublished data (*published=None*).
\n", " * **print_query (bool, optional, default: False)** : Print the ADQL TAP query to the terminal.
\n", " * **print_targets (bool, optional, default: True)** : Print a list of targets with ALMA data (ALMA source names) to the terminal.
\n", "
\n", "* Returns:
\n", " * **pandas.DataFrame** containing the query results.\n", "***\n", "
\n", "\n", "
\n", "Details of conesearch function\n", "\n", "* Description: Query the ALMA archive for a given position and radius around it.
\n", "
\n", "* Command:
\n", " * alminer.**conesearch**(_ra, dec, search_radius=1., point=False, public=True, published=None, print_targets=True, print_query=False_)
\n", "
\n", "* Parameters:
\n", " * **ra (float)** : Right ascension in degrees (ICRS).
\n", " * **dec (float)** : Declination in degrees (ICRS).
\n", " * **search_radius (float, optional, default: 1 arcmin)** : Search radius (in arcmin) around the source coordinates.
\n", " * **point (bool, optional, default: True)** : Search whether the specified position (ra, dec) is contained within any ALMA observations (*point=True*) or query all ALMA observations that overlap with a cone centred at the specified position (ra, dec) and extending the search_radius (*point=False*). In the case of *point=True*, the search_radius parameter is ignored. Note that *point=True* is much faster than *point=False* but the latter should be used if one is interested in searching for mosaics.
\n", " * **public (bool, optional, default: True)** : Search for public data (*public=True*), proprietary data (*public=False*), or both public and proprietary data (*public=None*).
\n", " * **published (bool, optional, default: None)** : Search for published data only (*published=True*), unpublished data only (*published=False*), or both published and unpublished data (*published=None*).
\n", " * **print_query (bool, optional, default: False)** : Print the ADQL TAP query to the terminal.
\n", " * **print_targets (bool, optional, default: True)** : Print a list of targets with ALMA data (ALMA source names) to the terminal.
\n", "
\n", "* Returns:
\n", " * **pandas.DataFrame** containing the query results.\n", "***\n", "
\n", "\n", "
\n", "Details of keysearch function\n", "\n", "* Description: Query the ALMA archive for any (string-type) keywords defined in ALMA TAP system.
\n", "
\n", "* Command:
\n", " * alminer.**keysearch**(_search_dict, public=True, published=None, print_query=False, print_targets=True_)
\n", "
\n", "* Parameters:
\n", " * **search_dict (dict[str, list of str])** : Dictionary of keywords in the ALMA archive and their values. Values must be formatted as a list of strings. For a list of valid keywords see [table](#TAP_table) below.
\n", " * **public (bool, optional, default: True)** : Search for public data (*public=True*), proprietary data (*public=False*), or both public and proprietary data (*public=None*).
\n", " * **published (bool, optional, default: None)** : Search for published data only (*published=True*), unpublished data only (*published=False*), or both published and unpublished data (*published=None*).
\n", " * **print_query (bool, optional, default: False)** : Print the ADQL TAP query to the terminal.
\n", " * **print_targets (bool, optional, default: True)** : Print a list of targets with ALMA data (ALMA source names) to the terminal.
\n", "
\n", "* Returns:
\n", " * **pandas.DataFrame** containing the query results.\n", "***\n", "
\n", "\n", "
\n", "Details of target function\n", " \n", "* Description: Query targets by name.
\n", " * This is done by using the astropy SESAME resolver to get the target's coordinates and then the ALMA archive is queried for those coordinates and a search_radius around them. The SESAME resolver searches multiple databases (Simbad, NED, VizieR) to parse names commonly found throughout literature and returns their coordinates. If the target is not resolved in any of these databases, consider using the `keysearch` function and query the archive using the 'target_name' keyword (e.g. `keysearch({'target_name': sources})`).
\n", "
\n", "* Command:
\n", " * alminer.**target**(_sources, search_radius=1., point=False, public=True, published=None, print_query=False, print_targets=True_)
\n", "
\n", "* Parameters:
\n", " * **sources (list of str)** : list of sources by name. (IMPORTANT: sources names must be identified by at least one of Simbad, NED, or Vizier)
\n", " * **search_radius (float, optional, default: 1 arcmin)** : Search radius (in arcmin) around the source coordinates.
\n", " * **point (bool, optional, default: True)** : Search whether the specified position (ra, dec) is contained within any ALMA observations (*point=True*) or query all ALMA observations that overlap with a cone centred at the specified position (ra, dec) and extending the search_radius (*point=False*). In the case of *point=True*, the search_radius parameter is ignored. Note that *point=True* is much faster than *point=False* but the latter should be used if one is interested in searching for mosaics.
\n", " * **public (bool, optional, default: True)** : Search for public data (*public=True*), proprietary data (*public=False*), or both public and proprietary data (*public=None*).
\n", " * **published (bool, optional, default: None)** : Search for published data only (*published=True*), unpublished data only (*published=False*), or both published and unpublished data (*published=None*).
\n", " * **print_query (bool, optional, default: False)** : Print the ADQL TAP query to the terminal.
\n", " * **print_targets (bool, optional, default: True)** : Print a list of targets with ALMA data (ALMA source names) to the terminal.
\n", "
\n", "* Returns:
\n", " * **pandas.DataFrame** containing the query results.\n", "***\n", "
\n", "\n", "\n", "### Analysis Functions\n", "\n", "
\n", "
\n", "Details of CO_lines function\n", "\n", "* Description: Determine how many CO, 13CO, and C18O lines were observed in the provided query DataFrame.
\n", "
\n", "* Command:
\n", " * alminer.**CO_lines**(_observations, z=0., print_summary=True, print_targets=True_)
\n", "
\n", "* Parameters:
\n", " * **observations (pandas.DataFrame)** : This is likely the output of e.g. `conesearch`, `target`, `catalog`, and `keysearch` functions.
\n", " * **z (float64, optional, default: 0)** : Redshift by which the frequency given in 'line_freq' parameter should be shifted.
\n", " * **print_summary (bool, optional, default: True)** : Print a summary of the observations to the terminal.
\n", " * **print_targets (bool, optional, default: True)** : Print a list of targets with ALMA data (ALMA source names) to the terminal.
\n", "
\n", "* Returns:
\n", " * **pandas.DataFrame** containing all observations of CO, 13CO, and C18O\n", "***\n", "
\n", "\n", "
\n", "Details of explore function\n", "\n", "* Description: Control how much of the pandas.DataFrame with the query results is presented in the displayed table.
\n", "
\n", "* Command:
\n", " * alminer.**explore**(_observations, allcols=False, allrows=False_)
\n", "
\n", "* Parameters:
\n", " * **observations (pandas.DataFrame)** : This is likely the output of e.g. `conesearch`, `target`, `catalog`, and `keysearch` functions.
\n", " * **allcols (bool, optional, default: False)** : Show all 81 columns (*allcols=True*), or the first 18 columns (*allcols=False*).
\n", " * **allrows (bool, optional, default: False)** : Show all rows in the DataFrame (*allrows=True*), or just a summary (*allrows=False*).
\n", "
\n", "* Returns:
\n", " * **pandas.DataFrame** containing the query results displayed to the user interface as specified by the user.\n", "***\n", "
\n", "\n", "
\n", "Details of get_info function\n", "\n", "* Description: Print the description and units of a given column in the query results DataFrame.
\n", "
\n", "* Command:
\n", " * alminer.**get_info**(_column_)
\n", "
\n", "* Parameters:
\n", " * **column (str)** : A column in the pandas.DataFrame query table.
\n", "***\n", "
\n", "\n", "
\n", "Details of line_coverage function\n", "\n", "* Description: Determine how many observations were observed at a given frequency (+redshift).
\n", "
\n", "* Command:
\n", " * alminer.**line_coverage**(_observations, line_freq, z=0., line_name='', print_summary=True, print_targets=True_)
\n", "
\n", "* Parameters:
\n", " * **observations** : pandas.DataFrame (This is likely the output of e.g. `conesearch`, `target`, `catalog`, and `keysearch` functions.)
\n", " * **line_freq (float64)** : Frequency of the line of interest in GHz.
\n", " * **z (float64, optional, default: 0)** : Redshift by which the frequency given in 'line_freq' parameter should be shifted.
\n", " * **line_name (str, optional, default: '')** : Name of the line specified in 'line_freq'.
\n", " * **print_summary (bool, optional, default: True)** : Print a summary of the observations to the terminal.
\n", " * **print_targets (bool, optional, default: True)** : Print a list of targets with ALMA data (ALMA source names) to the terminal.
\n", "
\n", "* Returns:
\n", " * **pandas.DataFrame** containing all observations of line of interest.\n", "***\n", "
\n", "\n", "
\n", "Details of summary function\n", "\n", "* Description: Print a summary of the observations.
\n", "
\n", "* Command:
\n", " * alminer.**summary**(_observations, print_targets=True_)
\n", "
\n", "* Parameters:
\n", " * **observations (pandas.DataFrame)** : This is likely the output of e.g. `conesearch`, `target`, `catalog`, and `keysearch` functions.
\n", " * **print_targets (bool, optional, default: True)** : Print a list of targets with ALMA data (ALMA source names) to the terminal.
\n", "
\n", "***\n", "
\n", "\n", "### Plotting Functions\n", "\n", "
\n", "
\n", "Details of plot_bands function\n", "\n", "* Description: Create overview and detailed plots of observed frequencies in each band.
\n", "
\n", "* Command:
\n", " * alminer.**plot_bands**(_observations, mark_freq='', z=0., mark_CO=False, showfig=True, savefig=None_)
\n", "
\n", "* Parameters:
\n", " * **observations (pandas.DataFrame)** : This is likely the output of e.g. `conesearch`, `target`, `catalog`, and `keysearch` functions.
\n", " * **mark_freq (list of float64, optional, default: '')** : A list of frequencies to mark on the plot with dashed lines.
\n", " * **z (float64, optional, default: 0)** : Redshift by which the frequencies given in 'mark_freq' and 'mark_CO' parameters should be shifted. Currently only one redshift can be given for all targets.
\n", " * **mark_CO (bool, optional, default: False)** : mark CO, 13CO, and C18O frequencies on the plot with dashed lines.
\n", " * **showfig (bool, optional, default: True)** : Display the plot (*showfig=True*) or not (*showfig=False*).
\n", " * **savefig (str, optional, default: None)** : Filename (without an extension) for the plot to be saved as. Default file extension is PDF. Figure is saved in a subdirectory called 'reports' within the current working directory. If the directory doesn't exist, it will be created. Default quality is dpi=300.
\n", "
\n", "***\n", "
\n", "\n", "
\n", "Details of plot_line_overview function\n", "\n", "* Description: Create overview plots of observed frequencies, angular resolution, LAS, frequency and velocity resolutions, highlighting the observations of a give (redshifted) frequency with hatches on the bar plots.
\n", "
\n", "* Command:
\n", " * alminer.**plot_line_overview**(_observations, line_freq, z=0., line_name='', showfig=True, savefig=None_)
\n", "
\n", "* Parameters:
\n", " * **observations (pandas.DataFrame)** : This is likely the output of e.g. `conesearch`, `target`, `catalog`, and `keysearch` functions.
\n", " * **line_freq (float64)** : Frequency of the line of interest in GHz.
\n", " * **z (float64, optional, default: 0)** : Redshift by which the frequency given in 'line_freq' parameter should be shifted.
\n", " * **line_name (str, optional, default: '')** : Name of the line specified in 'line_freq'.
\n", " * **showfig (bool, optional, default: True)** : Display the plot (*showfig=True*) or not (*showfig=False*).
\n", " * **savefig (str, optional, default: None)** : Filename (without an extension) for the plot to be saved as. Default file extension is PDF. Figure is saved in a subdirectory called 'reports' within the current working directory. If the directory doesn't exist, it will be created. Default quality is dpi=300.
\n", "
\n", "*** \n", "
\n", "\n", "
\n", "Details of plot_observations function\n", "\n", "* Description: Create detailed plots of observations in each band. The x-axis displays the observation number 'Obs' column in the input DataFrame.
\n", "
\n", "* Command:
\n", " * alminer.**plot_observations**(_observations, mark_freq='', z=0., mark_CO=False, showfig=True, savefig=None_)
\n", "
\n", "* Parameters:
\n", " * **observations (pandas.DataFrame)** : This is likely the output of e.g. `conesearch`, `target`, `catalog`, and `keysearch` functions.
\n", " * **mark_freq (list of float64, optional, default: '')** : A list of frequencies to mark on the plot with dashed lines.
\n", " * **z (float64, optional, default: 0)** : Redshift by which the frequencies given in 'mark_freq' and 'mark_CO' parameters should be shifted. Currently only one redshift can be given for all targets.
\n", " * **mark_CO (bool, optional, default: False)** : mark CO, 13CO, and C18O frequencies on the plot with dashed lines.
\n", " * **showfig (bool, optional, default: True)** : Display the plot (*showfig=True*) or not (*showfig=False*).
\n", " * **savefig (str, optional, default: None)** : Filename (without an extension) for the plot to be saved as. Default file extension is PDF. Figure is saved in a subdirectory called 'reports' within the current working directory. If the directory doesn't exist, it will be created. Default quality is dpi=300.
\n", "
\n", "***\n", "
\n", "\n", "
\n", "Details of plot_overview function\n", "\n", "* Description: Create overview plots of observed frequencies, angular resolution, LAS, frequency and velocity resolutions.
\n", "
\n", "* Command:
\n", " * alminer.**plot_overview**(_observations, mark_freq='', z=0., mark_CO=False, showfig=True, savefig=None_)
\n", "
\n", "* Parameters:
\n", " * **observations (pandas.DataFrame)** : This is likely the output of e.g. `conesearch`, `target`, `catalog`, and `keysearch` functions.
\n", " * **mark_freq (list of float64, optional, default: '')** : A list of frequencies to mark on the plot with dashed lines.
\n", " * **z (float64, optional, default: 0)** : Redshift by which the frequencies given in 'mark_freq' and 'mark_CO' parameters should be shifted. Currently only one redshift can be given for all targets.
\n", " * **mark_CO (bool, optional, default: False)** : mark CO, 13CO, and C18O frequencies on the plot with dashed lines.
\n", " * **showfig (bool, optional, default: True)** : Display the plot (*showfig=True*) or not (*showfig=False*).
\n", " * **savefig (str, optional, default: None)** : Filename (without an extension) for the plot to be saved as. Default file extension is PDF. Figure is saved in a subdirectory called 'reports' within the current working directory. If the directory doesn't exist, it will be created. Default quality is dpi=300.
\n", "
\n", "***\n", "
\n", "\n", "
\n", "Details of plot_sky function\n", " \n", "* Description: Plot the distribution of the targets on the sky.
\n", "
\n", "* Command:
\n", " * alminer.**plot_sky**(_observations, showfig=True, savefig=None_)
\n", "
\n", "* Parameters:
\n", " * **observations (pandas.DataFrame)** : This is likely the output of e.g. `conesearch`, `target`, `catalog`, and `keysearch` functions.
\n", " * **showfig (bool, optional, default: True)** : Display the plot (*showfig=True*) or not (*showfig=False*).
\n", " * **savefig (str, optional, default: None)** : Filename (without an extension) for the plot to be saved as. Default file extension is PDF. Figure is saved in a subdirectory called 'reports' within the current working directory. If the directory doesn't exist, it will be created. Default quality is dpi=300.
\n", "
\n", "*** \n", "
\n", "\n", "### Writing Files & Plots\n", "\n", "
\n", "\n", "
\n", "Details of save_source_reports function\n", "\n", "* Description: Create overview plots of observed frequencies, angular resolution, LAS, frequency and velocity resolutions for each source in the provided DataFrame and save them in PDF format in the 'reports' subdirectory.\n", " If the directory doesn't exist, it will be created.
\n", "
\n", "* Command:
\n", " * alminer.**save_source_reports**(_observations, mark_freq='', z=0., mark_CO=False_)
\n", "
\n", "* Parameters:
\n", " * **observations (pandas.DataFrame)** : This is likely the output of e.g. `conesearch`, `target`, `catalog`, and `keysearch` functions.
\n", " * **mark_freq (list of float64, optional, default: '')** : A list of frequencies to mark on the plot with dashed lines.
\n", " * **z (float64, optional, default: 0)** : Redshift by which the frequencies given in 'mark_freq' and 'mark_CO' parameters should be shifted. Currently only one redshift can be given for all targets.
\n", " * **mark_CO (bool, optional, default: False)** : mark CO, 13CO, and C18O frequencies on the plot with dashed lines.
\n", "***\n", "
\n", "\n", "\n", "
\n", "Details of save_table function\n", "\n", "* Description: Write the DataFrame with the query results to a table in CSV format. The table will be saved in the 'tables' subdirectory within the current working directory. If the directory doesn't exist, it will be created.
\n", "
\n", "* Command:
\n", " * alminer.**save_table**(_observations, filename=\"mytable\"_)
\n", "
\n", "* Parameters:
\n", " * **observations** : pandas.DataFrame (This is likely the output of e.g. `conesearch`, `target`, `catalog`, and `keysearch` functions.)
\n", " * **filename (str)** : Name of the table to be saved in the 'tables' subdirectory.
\n", "***\n", "
\n", "\n", "### Downloading ALMA Data\n", "\n", "
\n", "
\n", "Details of download_data function\n", "\n", "* Description: Download ALMA data from the archive to a location on the local machine.
\n", "
\n", "* Command:
\n", " * alminer.**download_data**(_observations, fitsonly=False, dryrun=False, print_urls=False, filename_must_include='', location='./data'_)
\n", "
\n", "* Parameters:
\n", " * **observations (pandas.DataFrame)** : This is likely the output of e.g. `conesearch`, `target`, `catalog`, and `keysearch` functions.
\n", " * **fitsonly (bool, optional, default: False)** : Download individual fits files only (*fitsonly=True*). This option will not download the raw data (e.g. 'asdm' files), weblogs, or README files.
\n", " * **dryrun (bool, optional, default: False)** : Allow the user to do a test run to check the size and number of files to download without actually downloading the data (*dryrun=True*). To download the data, set *dryrun=False*.
\n", " * **print_urls (bool, optional, default: False)** : Write the list of urls to be downloaded from the archive to the terminal.
\n", " * **filename_must_include (list of str, optional, default: '')** : A list of strings the user wants to be contained in the url filename. This is useful to restrict the download further, for example, to data that have been primary beam corrected ('.pbcor') or that have the science target or calibrators (by including their names). The choice is largely dependent on the cycle and type of reduction that was performed and data products that exist on the archive as a result. In most recent cycles, the science target can be filtered out with the flag '_sci' or its ALMA target name.
\n", " * **location (str, optional, default: './data')** : directory where the downloaded data should be placed.
\n", "***\n", "
\n", "\n", "\n", "### Advanced Query Functions\n", "\n", "
\n", "\n", "
\n", "Details of filter_results function\n", "\n", "* Description: Add a few new useful columns to the pandas.DataFrame with the query results from the PyVO TAP service and return the full query DataFrame and optionally a summary of the results.
\n", "
\n", "* Command:
\n", " * alminer.**filter_results**(_TAP_df, print_targets=True_)
\n", "
\n", "* Parameters:
\n", " * **TAP_df (pandas.DataFrame)** : This is likely the output of `run_query` function.
\n", " * **print_targets (bool, optional)** : Print a list of targets with ALMA data (ALMA source names) to the terminal.
\n", "* Returns:
\n", " * **pandas.DataFrame** containing the query results.
\n", "***\n", "
\n", "\n", "
\n", "Details of run_query function\n", "\n", "* Description: Run the TAP query through PyVO service.
\n", "
\n", "* Command:
\n", " * alminer.**run_query**(_query_str_)
\n", "
\n", "* Parameters:
\n", " * **query_str (str)** : ADQL query to send to the PyVO TAP service
\n", "***\n", "
\n", "\n", "" ] }, { "cell_type": "markdown", "metadata": { "deletable": false, "editable": false }, "source": [ "***\n", "\n", "# 8. Workstation \n", "\n", "You can create your own examples below. Happy mining 😉" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "celltoolbar": "Edit Metadata", "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.13" } }, "nbformat": 4, "nbformat_minor": 4 }