{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Plot N versus z Distributions in the extragalactic catalogs\n", "\n", "
Owner: **Eve Kovacs** ([@evevkovacs](https://github.com/LSSTDESC/DC2-analysis/issues/new?body=@evevkovacs))\n", "
Last Verified to Run: Nov 30, 2018 by @yymao\n", "\n", "This notebook demonstrates how to make number-density versus redshift plots from the extragalactic catalog (protoDC2, cosmoDC2).\n", "\n", "### Learning Objectives:\n", "After working through and studying this Notebook you should be able to\n", "1. Select data quantities to plot\n", "2. Define and apply filters to the data selection\n", "3. Use the GCRCatalogs iterator for large catalogs\n", "4. Aggregate histograms on the fly\n", "5. Loop over sub-plots [Advanced]\n", "6. Use a private version of GCRCatalogs [Advanced]\n", "\n", "The functions in this notebook have been selected from the [NumberDensityVersusRedshift](https://github.com/LSSTDESC/descqa/blob/master/descqa/NumberDensityVersusRedshift.py) DESCQA test." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Populating the interactive namespace from numpy and matplotlib\n" ] } ], "source": [ "from itertools import zip_longest\n", "\n", "import numpy as np\n", "\n", "from GCR import GCRQuery\n", "import GCRCatalogs \n", "\n", "%pylab inline" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Load the catalog using GCRCatalogs. We want 'protoDC2'. The default config asks the catalog reader to check the catalog against a stored MD5 checksum. This is in general a good feature, but it takes 30-40 seconds and we'll want to skip that for this tutorial. So we here use 'protoDC2_test' configuration which skips the MD5 checksum." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "gc = GCRCatalogs.load_catalog('cosmoDC2_v1.1.4_small')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Define a function to fetch the catalog data for the desired redshift quantity and magnitude in a specified band. Data will be filtered to lie between selected redshift bounds. Filter magnitudes may come from several specified filters, in the given preferred order.\n", "\n", "This function uses a GCR iterator so that data from a very large catalog can be processed. This is not a problem for protoDC2, but will be an issue for cosmoDC2, since that catalog will be too large to fit into memory. The iterator returns the catalog data in chunks. Histogram arrays to store the chunks have to be pre-allocated and accumulated on the fly for each chunk.\n", "\n", "Note that because we are accumulating the histograms as we process the data, this function needs arguments that define the binning and the desired shape of the sub-plot array.\n", "\n", "We accumulate sumz_array so that it will be possible to calculate the mean of z for each bin." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "def get_mags_and_redshift(gc, mag_lo, mag_hi, band='r', z='redshift_true', zlo=0., zhi=1.1, \n", " nrows=3, ncolumns=2, Nzbins=20):\n", " # Set up quantities to fetch\n", " possible_mag_fields = ('mag_true_{}_lsst', 'mag_true_{}_sdss', 'mag_true_{}_des')\n", " mag_fields = [f.format(band) for f in possible_mag_fields]\n", " mag_field = gc.first_available(*mag_fields)\n", " required_quantities = [mag_field, z]\n", " # Set up binning \n", " zbins = np.linspace(zlo, zhi, Nzbins+1)\n", " filters = [(lambda z: (z > zlo) & (z < zhi), z)] # Filter on selected redshift range\n", " \n", " # Initialize arrays for storing histogram sums\n", " N_array = np.zeros((nrows, ncolumns, len(zbins)-1), dtype=np.int)\n", " sumz_array = np.zeros((nrows, ncolumns, len(zbins)-1))\n", " # Get catalog data by looping over data iterator (needed for large catalogs) and aggregate histograms\n", " for catalog_data in gc.get_quantities(required_quantities, filters=filters, return_iterator=True):\n", " catalog_data = GCRQuery(*((np.isfinite, col) for col in catalog_data)).filter(catalog_data)\n", " for n, (cut_lo, cut_hi, N, sumz) in enumerate(zip_longest(\n", " mag_lo,\n", " mag_hi,\n", " N_array.reshape(-1, N_array.shape[-1]), # Flatten all but last dimension of array\n", " sumz_array.reshape(-1, sumz_array.shape[-1]),\n", " )):\n", " if cut_lo is None or cut_hi is None:\n", " continue\n", " cuts = [\n", " '{} < {}'.format(mag_field, cut_lo),\n", " '{} >= {}'.format(mag_field, cut_hi),\n", " ]\n", " z_this = catalog_data[z][GCRQuery(*cuts).mask(catalog_data)]\n", "\n", " # Bin catalog_data and accumulate subplot histograms\n", " N += np.histogram(z_this, bins=zbins)[0]\n", " sumz += np.histogram(z_this, bins=zbins, weights=z_this)[0]\n", " \n", " return zbins, N_array, sumz_array" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now select some magnitude cuts, choose a 2 column array for the subplots, and call the function to accumulate the histogram arrays." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "# Select some magnitude cuts and fill the histogram arrays for 2-column plots\n", "mlo = 25\n", "mhi = 19\n", "\n", "mag_lo = 1 + np.arange(mhi, mlo, dtype=np.float)\n", "mag_hi = mhi + np.zeros_like(mag_lo)\n", "\n", "ncolumns = 2\n", "nrows = (len(mag_lo) + ncolumns - 1)//ncolumns\n", "\n", "Nzbins = 10 \n", "zbins, N_array, sumz_array = get_mags_and_redshift(gc, mag_lo, mag_hi, Nzbins=Nzbins, nrows=nrows, ncolumns=ncolumns)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Define a function to make the plots using the accumulated histogram arrays. Statistical errors only are being used. A more realistic estimate would be provided by jack-knife errors which take into account the sample variance. The code for calculating the jack-knife errors is available in the [DESCQA test](https://github.com/LSSTDESC/descqa/blob/master/descqa/NumberDensityVersusRedshift.py)." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "def plot_N_vs_z(mag_lo, mag_hi, N_array, sumz_array, zbins, band='r', normed=True,\n", " nrows=3, ncolumns=2, figx_p=9, figy_p=11):\n", " fig, ax = plt.subplots(nrows, ncolumns, figsize=(figx_p, figy_p), sharex='col')\n", " for n, (ax_this, cut_lo, cut_hi, N, sumz) in \\\n", " enumerate(zip_longest(ax.flat,\n", " mag_lo, \n", " mag_hi,\n", " N_array.reshape(-1, N_array.shape[-1]),\n", " sumz_array.reshape(-1, sumz_array.shape[-1]),\n", " )):\n", " if cut_lo is None or cut_hi is None: # cut_lo is None if mag_lo is exhausted\n", " ax_this.set_visible(False)\n", " continue\n", "\n", " cut_label = '{} $\\leq$ {} $<$ {}'.format(cut_hi, band, cut_lo)\n", " meanz = sumz / N\n", " sumN = N.sum()\n", " covariance = np.diag(N)\n", "\n", " if normed:\n", " scale = sumN * (zbins[1:] - zbins[:-1])\n", " N = N/scale\n", " covariance = covariance/np.outer(scale, scale)\n", "\n", " Nerrors = np.sqrt(np.diag(covariance))\n", "\n", " ax_this.errorbar(meanz, N, yerr=Nerrors, label=cut_label, color='blue', fmt='o:', ms=4)\n", " decorate_subplot(ax_this, n, nrows, ncolumns, 'p(z|m)', 'z')\n", "\n", " plt.subplots_adjust(hspace=0)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "def decorate_subplot(ax, nplot, nrows, ncolumns, ylabel, xlabel):\n", " # Add axes and legend \n", " if nplot % ncolumns == 0: # 1st column\n", " ax.set_ylabel('$'+ylabel+'$', size=16)\n", "\n", " if nplot+1 <= nplot - ncolumns: # x scales for last ncol plots only\n", " # Print \"noticks\",nplot \n", " for axlabel in ax.get_xticklabels(): \n", " axlabel.set_visible(False) \n", " # Prevent overlapping yaxis labels \n", " ax.yaxis.get_major_ticks()[0].label1.set_visible(False) \n", " else: \n", " ax.set_xlabel('$'+xlabel+'$', size=16) \n", " for axlabel in ax.get_xticklabels(): \n", " axlabel.set_visible(True) \n", " ax.legend(loc='best', fancybox=True, framealpha=0.5, fontsize=10, numpoints=1)" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/global/common/software/lsst/common/miniconda/py3.7-4.7.12.1-v2/envs/desc/lib/python3.7/site-packages/ipykernel/__main__.py:16: RuntimeWarning: invalid value encountered in true_divide\n" ] }, { "data": { "image/png": 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" ] }, "metadata": { "image/png": { "height": 923, "width": 782 } }, "output_type": "display_data" } ], "source": [ "plot_N_vs_z(mag_lo, mag_hi, N_array, sumz_array, zbins, nrows=nrows, ncolumns=ncolumns, normed=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Appendix: Using a development version of GCRCatalogs\n", "In development, the extragalactic team often found it useful to refer to development versions of GCRCatalogs (gcr-catalogs). Here's how one would do this. If one had a private checkout of the GCRCatalogs repository, e.g., one had run\n", "```\n", "git clone https://github/com/LSSTDESC/gcr-catalogs /global/u1/k/kovacs/gcr-catalogs_v4x\n", "```\n", "\n", "Then you can explicitly manipulate your Python path to include this particular version as:\n", "\n", "```\n", "import sys\n", "sys.path.insert(0, '/global/u1/k/kovacs/gcr-catalogs_v4x')\n", "```\n", "\n", "If you had a specific custom configuration file that you had written, called, 'proto-dc2_v4.15_test', you could load that configuration instead with\n", "\n", "```\n", "gc = GCRCatalogs.load_catalog('proto-dc2_v4.15_test')\n", "```" ] } ], "metadata": { "kernelspec": { "display_name": "desc-python", "language": "python", "name": "desc-python" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.6" } }, "nbformat": 4, "nbformat_minor": 2 }