{ "cells": [ { "cell_type": "markdown", "id": "7968866b-24b8-4ed6-bc13-6035310cb4f5", "metadata": {}, "source": [ "[![View notebook](https://img.shields.io/static/v1?label=render%20on&logo=github&color=87ce3e&message=GitHub)](https://github.com/open-atmos/PyPartMC/blob/main/examples/chamber.ipynb) \n", "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/open-atmos/PyPartMC/blob/main/examples/chamber.ipynb) \n", "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/open-atmos/PyPartMC.git/main?urlpath=lab/tree/examples/chamber.ipynb) \n", "[![ARM JupyterHub](https://img.shields.io/static/v1?label=launch%20in&logo=jupyter&color=lightblue&message=ARM+JupyterHub)](https://jupyterhub.arm.gov/hub/user-redirect/git-pull?repo=https%3A//github.com/open-atmos/PyPartMC&branch=main&urlPath=) (requires [logging in with ARM account](https://www.arm.gov/capabilities/computing-resources) and directing Jupyter to a notebook within the cloned repo)" ] }, { "cell_type": "code", "execution_count": 1, "id": "159edeb4", "metadata": { "ExecuteTime": { "end_time": "2024-11-26T04:57:47.303697Z", "start_time": "2024-11-26T04:57:47.300966Z" } }, "outputs": [], "source": [ "# This file is a part of PyPartMC licensed under the GNU General Public License v3\n", "# Copyright (C) 2023 University of Illinois Urbana-Champaign\n", "# Authors:\n", "# - https://github.com/compdyn/partmc/graphs/contributors\n", "# - https://github.com/open-atmos/PyPartMC/graphs/contributors" ] }, { "cell_type": "markdown", "id": "491fc802", "metadata": {}, "source": [ "#### Chamber Simulation Example from Barrel Study, refer to [Tian el al., 2017 (Aerosol Science and Technology)](https://doi.org/10.1080/02786826.2017.1311988)" ] }, { "cell_type": "markdown", "id": "f4df6740", "metadata": {}, "source": [ "#### Equations and parameters in this notebook\n", "1. **Wall-loss treatment**\n", "* Diffusional wall-loss\n", " ##### $\\alpha^{D}_{\\mu}$ = $\\frac{D(R_{me,\\mu})A_D}{\\delta_DV}$\n", "\n", "* Sedimental wall-loss\n", " ##### $\\alpha^{S}_{\\mu}$ = $\\frac{4\\pi \\rho R^{3}_{m, \\mu}D(R_{me,\\mu})A_S}{3kTV}$\n", "\n", "* Parameters:\n", " - $D(R_{me,\\mu})$ $\\rm (m^2s^{-1})$: Diffusion coefficient for particle $\\mu$\n", " - $A_D$ $\\rm (m^2)$: Diffusional depostion area\n", " - Variable name: \"area_diffuse\"\n", " - $A_S$ $\\rm (m^2)$: Sedimentation area\n", " - Variable name: \"area_sedi\"\n", " - V $\\rm (m^3)$: Volume of the chamber\n", " - Variable name: \"chamber_vol\"\n", " - $\\delta_D$ $(\\rm m)$: Diffusional boundary layer thickness\n", " \n", " - $\\delta_D$ = $k_D$ $\\left(\\frac{D}{D_0}\\right)^a$\n", " - $k_D$: Chamber-specific parameter.\n", " - Variable name: \"prefactor_BL\"\n", " - Can be determined for each experimental setup\n", " - $a$: 0.25, Theoretically determined coefficient, [Fuchs, N. A. (1964). Mechanics of Aerosols.Pergamon, New York].\n", " - Variable name: \"exponent_BL\"\n", " - It should be in the range of (1, 3).\n", "\n", "2. **Fractal Treatment**\n", "\n", " ##### $ N$ = $\\frac{1}{f}$ $\\left(\\frac{R_{\\rm geo}}{R_0}\\right)^{d_{\\rm f}}$\n", "\n", "* Parameters:\n", " - $N$: Number of monomers in a fractal-like agglomerate\n", " - $R_{\\rm geo}$ $(\\rm m)$: Particle geometric radius\n", " - $f$: Volume filling factor\n", " - Variable name: \"aero_data.vol_fill_factor\"\n", " - For spherical primary particles, this can occupy as much as 74% of the available volume\n", " - $R_0$ $(\\rm m)$: Radius of primary particles\n", " - Variable name: \"aero_data.prime_radius\"\n", " - $d_{\\rm f}$: Fractal dimension\n", " - Variable name: \"aero_data.frac_dim\"\n", "\n", "* Note on Fractal Parameters:\n", " - $f$, $R_0$ $(\\rm m)$: Can be estimated by SEM images\n", " - $d_{\\rm f}$: Needs to be specified\n", "\n" ] }, { "cell_type": "code", "execution_count": 2, "id": "4f8359c2", "metadata": { "ExecuteTime": { "end_time": "2024-11-26T04:57:47.331171Z", "start_time": "2024-11-26T04:57:47.325296Z" } }, "outputs": [], "source": [ "import sys\n", "import os\n", "if 'google.colab' in sys.modules:\n", " !pip --quiet install open-atmos-jupyter-utils\n", " from open_atmos_jupyter_utils import pip_install_on_colab\n", " pip_install_on_colab('PyPartMC')\n", "elif 'JUPYTER_IMAGE' in os.environ and '.arm.gov' in os.environ['JUPYTER_IMAGE']:\n", " !pip --quiet install PyPartMC open_atmos_jupyter_utils\n", " _pypartmc_path = !pip show PyPartMC | fgrep Location | cut -f2 -d' '\n", " sys.path.extend(_pypartmc_path if _pypartmc_path[0] not in sys.path else [])" ] }, { "cell_type": "code", "execution_count": 3, "id": "b494ea6e", "metadata": { "ExecuteTime": { "end_time": "2024-11-26T04:57:48.195912Z", "start_time": "2024-11-26T04:57:47.390641Z" } }, "outputs": [], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "from open_atmos_jupyter_utils import show_plot\n", "import PyPartMC as ppmc\n", "from PyPartMC import si" ] }, { "cell_type": "code", "execution_count": null, "id": "aa2c0567-2b75-47ba-bf6d-d5a0c22b5b83", "metadata": { "ExecuteTime": { "end_time": "2024-11-26T04:57:48.214894Z", "start_time": "2024-11-26T04:57:48.213477Z" } }, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 4, "id": "df8d1a84", "metadata": { "ExecuteTime": { "end_time": "2024-11-26T04:57:48.224403Z", "start_time": "2024-11-26T04:57:48.221378Z" } }, "outputs": [], "source": [ "gas_data = ppmc.GasData((\"H2SO4\",\"HNO3\",\"HCl\",\"NH3\",\"NO\",\"NO2\", \"NO3\",\n", " \"N2O5\", \"HONO\", \"HNO4\", \"O3\", \"O1D\", \"O3P\", \"OH\",\n", " \"HO2\", \"H2O2\", \"CO\", \"SO2\", \"CH4\", \"C2H6\", \"CH3O2\", \n", " \"ETHP\", \"HCHO\", \"CH3OH\", \"ANOL\", \"CH3OOH\", \"ETHOOH\",\n", " \"ALD2\", \"HCOOH\", \"RCOOH\", \"C2O3\", \"PAN\", \"ARO1\", \"ARO2\",\n", " \"ALK1\", \"OLE1\", \"API1\", \"API2\", \"LIM1\", \"LIM2\", \"PAR\", \"AONE\",\n", " \"MGLY\", \"ETH\", \"OLET\", \"OLEI\", \"TOL\", \"XYL\", \"CRES\", \"TO2\",\n", " \"CRO\", \"OPEN\", \"ONIT\", \"ROOH\", \"RO2\", \"ANO2\", \"NAP\", \"XO2\",\n", " \"XPAR\", \"ISOP\", \"ISOPRD\", \"ISOPP\", \"ISOPN\", \"ISOPO2\", \"API\",\n", " \"LIM\", \"DMS\", \"MSA\", \"DMSO\", \"DMSO2\", \"CH3SO2H\", \"CH3SCH2OO\", \n", " \"CH3SO2\", \"CH3SO3\", \"CH3SO2OO\", \"CH3SO2CH2OO\", \"SULFHOX\"\n", " ))" ] }, { "cell_type": "code", "execution_count": 5, "id": "a2d7bad8", "metadata": { "ExecuteTime": { "end_time": "2024-11-26T04:57:48.232295Z", "start_time": "2024-11-26T04:57:48.230550Z" } }, "outputs": [], "source": [ "env_state = ppmc.EnvState(\n", " {\n", " \"rel_humidity\": 0.00,\n", " \"latitude\": 0,\n", " \"longitude\": 0,\n", " \"altitude\": 0 * si.m,\n", " \"start_time\": 21600 * si.s,\n", " \"start_day\": 200,\n", " }\n", ")" ] }, { "cell_type": "code", "execution_count": 6, "id": "815283a0", "metadata": { "ExecuteTime": { "end_time": "2024-11-26T04:57:48.245408Z", "start_time": "2024-11-26T04:57:48.237835Z" } }, "outputs": [], "source": [ "aero_data = ppmc.AeroData(\n", " (\n", " # density ions in soln (1) molecular weight kappa (1)\n", " # | | | |\n", " {\"SO4\": [1760 * si.kg / si.m**3, 1, 96.0 * si.g / si.mol, 0.00]},\n", " {\"NO3\": [1800 * si.kg / si.m**3, 1, 62.0 * si.g / si.mol, 0.00]},\n", " {\"Cl\": [2200 * si.kg / si.m**3, 1, 35.5 * si.g / si.mol, 0.00]},\n", " {\"NH4\": [1760 * si.kg / si.m**3, 1, 18.0 * si.g / si.mol, 0.00]},\n", " {\"MSA\": [1800 * si.kg / si.m**3, 0, 95.0 * si.g / si.mol, 0.53]},\n", " {\"ARO1\": [1400 * si.kg / si.m**3, 0, 150.0 * si.g / si.mol, 0.10]},\n", " {\"ARO2\": [1400 * si.kg / si.m**3, 0, 150.0 * si.g / si.mol, 0.10]},\n", " {\"ALK1\": [1400 * si.kg / si.m**3, 0, 140.0 * si.g / si.mol, 0.10]},\n", " {\"OLE1\": [1400 * si.kg / si.m**3, 0, 140.0 * si.g / si.mol, 0.10]},\n", " {\"API1\": [1400 * si.kg / si.m**3, 0, 184.0 * si.g / si.mol, 0.10]},\n", " {\"API2\": [1400 * si.kg / si.m**3, 0, 184.0 * si.g / si.mol, 0.10]},\n", " {\"LIM1\": [1400 * si.kg / si.m**3, 0, 200.0 * si.g / si.mol, 0.10]},\n", " {\"LIM2\": [1400 * si.kg / si.m**3, 0, 200.0 * si.g / si.mol, 0.10]},\n", " {\"CO3\": [2600 * si.kg / si.m**3, 1, 60.0 * si.g / si.mol, 0.00]},\n", " {\"Na\": [2200 * si.kg / si.m**3, 1, 23.0 * si.g / si.mol, 0.00]},\n", " {\"Ca\": [2600 * si.kg / si.m**3, 1, 40.0 * si.g / si.mol, 0.00]},\n", " {\"OIN\": [2600 * si.kg / si.m**3, 0, 1.0 * si.g / si.mol, 0.10]},\n", " {\"OC\": [1566 * si.kg / si.m**3, 0, 1.0 * si.g / si.mol, 0.001]},\n", " {\"BC\": [1700 * si.kg / si.m**3, 0, 1.0 * si.g / si.mol, 0.00]},\n", " {\"H2O\": [1000 * si.kg / si.m**3, 0, 18.0 * si.g / si.mol, 0.00]},\n", " )\n", ")\n", "\n", "#Adjust the following variables for fractal treatment: \n", "#For spherical particles, comment out the variables.\n", "#aero_data.frac_dim: Should be in the range of (1,3). \n", "#aero_data.vol_fill_factor: Set this as 1/(percent of the available volume).\n", "aero_data.frac_dim = 2.3\n", "aero_data.vol_fill_factor = 1.43\n", "aero_data.prime_radius = 4.5e-8" ] }, { "cell_type": "code", "execution_count": 7, "id": "c822823d", "metadata": { "ExecuteTime": { "end_time": "2024-11-26T04:57:48.257813Z", "start_time": "2024-11-26T04:57:48.254697Z" } }, "outputs": [], "source": [ "gas_state = ppmc.GasState(gas_data)\n", "\n", "input_gas_state = (\n", " {\"NO\": [0.1E+00]},\n", ")\n", "\n", "gas_state.mix_rats = input_gas_state" ] }, { "cell_type": "code", "execution_count": 8, "id": "58706963", "metadata": { "jupyter": { "is_executing": true } }, "outputs": [], "source": [ "times = [0 * si.s]\n", "back_gas = [{\"time\": times},\n", " {\"rate\": [0 / si.s]},\n", " {\"NO\": [0.1E+00]},\n", " ]\n", "\n", "gas_emit_times = [0]\n", "gas_emit_rates = np.zeros(len(gas_emit_times))\n", "SO2 = [4.234E-09]\n", "\n", "emit_gas = [\n", " {\"time\": gas_emit_times},\n", " {\"rate\": list(gas_emit_rates)},\n", " {\"SO2\": SO2},\n", "]\n", "\n", "AERO_DIST_BACKGROUND = {\n", " \"back_small\": {\n", " \"mass_frac\": [{\"SO4\": [1]}, {\"OC\": [1.375]}, {\"NH4\": [0.375]}],\n", " \"diam_type\": \"geometric\",\n", " \"mode_type\": \"log_normal\",\n", " \"num_conc\": 0 / si.m**3,\n", " \"geom_mean_diam\": 0.02 * si.um,\n", " \"log10_geom_std_dev\": 0.161,\n", " },\n", "}\n", "\n", "AERO_DIST_EMIT = {\n", " \"gasoline\": {\n", " \"mass_frac\": [{\"OC\": [0.8]}, {\"BC\": [0.2]}],\n", " \"diam_type\": \"geometric\",\n", " \"mode_type\": \"log_normal\",\n", " \"num_conc\": 0 / si.m**3,\n", " \"geom_mean_diam\": 5e-8 * si.m,\n", " \"log10_geom_std_dev\": 0.24,\n", " },\n", "}" ] }, { "cell_type": "code", "execution_count": 9, "id": "c6a96b7d", "metadata": {}, "outputs": [], "source": [ "time_timeseries = [0]\n", "pressure_timeseries = list(np.ones(1) * 1e5)\n", "temp_timeseries = [293.4]\n", "height_timeseries = [1000]" ] }, { "cell_type": "code", "execution_count": 10, "id": "920e41e3", "metadata": {}, "outputs": [], "source": [ "scenario = ppmc.Scenario(\n", " gas_data,\n", " aero_data,\n", " {\n", " \"temp_profile\": [{\"time\": time_timeseries}, {\"temp\": temp_timeseries}],\n", " \"pressure_profile\": [\n", " {\"time\": time_timeseries},\n", " {\"pressure\": pressure_timeseries},\n", " ],\n", " \"height_profile\": [{\"time\": time_timeseries}, {\"height\": height_timeseries}],\n", " \"gas_emissions\": emit_gas,\n", " \"gas_background\": back_gas,\n", " \"aero_emissions\": [\n", " {\"time\": [0 * si.s]},\n", " {\"rate\": [0 / si.s]},\n", " {\"dist\": [[AERO_DIST_EMIT]]},\n", " ],\n", " \"aero_background\": [\n", " {\"time\": [0 * si.s]},\n", " {\"rate\": [2.293e-5 / si.s]},\n", " {\"dist\": [[AERO_DIST_BACKGROUND]]},\n", " ],\n", " \n", " #Adjust the following variables for wall-loss treatment.\n", " \n", " \"loss_function\": \"chamber\",\n", " \"chamber_vol\": 0.2093,\n", " \"area_diffuse\": 1.988,\n", " \"area_sedi\": 0.2463,\n", " \"prefactor_BL\": 0.06, \n", " \"exponent_BL\": 0.26, \n", " },\n", ")" ] }, { "cell_type": "code", "execution_count": 11, "id": "6722ba83", "metadata": {}, "outputs": [], "source": [ "T_INITIAL = 0.0\n", "scenario.init_env_state(env_state, T_INITIAL)" ] }, { "cell_type": "code", "execution_count": 12, "id": "9781ca2f", "metadata": {}, "outputs": [], "source": [ "diams = [1.33567e-08, 1.38477e-08, 1.43478e-08, 1.48479e-08, 1.53971e-08,\n", " 1.59972e-08, 1.65481e-08, 1.71464e-08, 1.77975e-08, 1.84467e-08,\n", " 1.91468e-08, 1.98469e-08, 2.05470e-08, 2.12962e-08, 2.20964e-08,\n", " 2.28965e-08, 2.36966e-08, 2.45459e-08, 2.54460e-08, 2.63953e-08,\n", " 2.73954e-08, 2.83956e-08, 2.94449e-08, 3.05450e-08, 3.16452e-08,\n", " 3.27945e-08, 3.39947e-08, 3.52440e-08, 3.65442e-08, 3.78444e-08,\n", " 3.92428e-08, 4.06940e-08, 4.21433e-08, 4.36927e-08, 4.52929e-08,\n", " 4.69423e-08, 4.86917e-08, 5.04920e-08, 5.23414e-08, 5.42417e-08,\n", " 5.62402e-08, 5.83406e-08, 6.04409e-08, 6.26394e-08, 6.49398e-08,\n", " 6.72893e-08, 6.97388e-08, 7.23374e-08, 7.50379e-08, 7.77383e-08,\n", " 8.05369e-08, 8.35356e-08, 8.66361e-08, 8.97857e-08, 9.30354e-08,\n", " 9.64341e-08, 9.99838e-08, 1.03633e-07, 1.07432e-07, 1.11382e-07,\n", " 1.15481e-07, 1.19731e-07, 1.24080e-07, 1.28629e-07, 1.33378e-07,\n", " 1.38228e-07, 1.43276e-07, 1.48526e-07, 1.53975e-07, 1.59625e-07,\n", " 1.65473e-07, 1.71572e-07, 1.77871e-07, 1.84370e-07, 1.91119e-07,\n", " 1.98118e-07, 2.05367e-07, 2.12866e-07, 2.20664e-07, 2.28763e-07,\n", " 2.37112e-07, 2.45810e-07, 2.54858e-07, 2.64207e-07, 2.73856e-07,\n", " 2.83854e-07, 2.94252e-07, 3.05050e-07, 3.16249e-07, 3.27847e-07,\n", " 3.39845e-07, 3.52293e-07, 3.65191e-07, 3.78539e-07, 3.92387e-07,\n", " 4.06784e-07, 4.21732e-07, 4.37180e-07, 4.53177e-07, 4.69774e-07,\n", " 4.86971e-07, 5.04818e-07, 5.23316e-07, 5.42462e-07, 5.62309e-07,\n", " 5.82905e-07, 6.04302e-07, 6.26449e-07, 6.49395e-07, 6.73191e-07,\n", " 6.97837e-07, 7.23383e-07, 7.49878e-07, 7.77374e-07, 8.05870e-07,\n", " 8.35396e-07]\n", "\n", "concs = [1.03e+07, 1.04e+07, 4.39e+06, 4.44e+06, 8.03e+06, 7.53e+06,\n", " 3.77e+06, 9.10e+06, 9.77e+06, 1.32e+07, 1.54e+07, 2.26e+07,\n", " 2.14e+07, 3.20e+07, 2.68e+07, 3.36e+07, 4.62e+07, 6.90e+07,\n", " 8.63e+07, 9.12e+07, 1.11e+08, 1.50e+08, 1.57e+08, 1.96e+08,\n", " 2.44e+08, 2.83e+08, 3.48e+08, 3.99e+08, 4.47e+08, 5.42e+08,\n", " 5.91e+08, 6.37e+08, 7.77e+08, 8.68e+08, 9.50e+08, 1.13e+09,\n", " 1.25e+09, 1.36e+09, 1.47e+09, 1.66e+09, 1.90e+09, 1.94e+09,\n", " 2.14e+09, 2.38e+09, 2.40e+09, 2.58e+09, 2.81e+09, 2.87e+09,\n", " 2.96e+09, 3.13e+09, 3.27e+09, 3.53e+09, 3.51e+09, 3.60e+09,\n", " 3.81e+09, 3.90e+09, 3.87e+09, 3.89e+09, 3.91e+09, 3.94e+09,\n", " 3.94e+09, 3.76e+09, 3.76e+09, 3.74e+09, 3.53e+09, 3.38e+09,\n", " 3.34e+09, 3.19e+09, 3.00e+09, 2.81e+09, 2.56e+09, 2.42e+09,\n", " 2.18e+09, 1.96e+09, 1.74e+09, 1.52e+09, 1.36e+09, 1.15e+09,\n", " 9.86e+08, 8.00e+08, 6.91e+08, 5.82e+08, 4.58e+08, 3.65e+08,\n", " 2.80e+08, 2.08e+08, 1.64e+08, 1.25e+08, 8.43e+07, 6.77e+07,\n", " 6.23e+07, 3.54e+07, 3.59e+07, 3.04e+07, 1.90e+07, 1.31e+07,\n", " 1.23e+07, 1.26e+07, 9.70e+06, 1.12e+07, 1.25e+07, 6.67e+06,\n", " 8.67e+06, 8.51e+06, 6.23e+06, 5.12e+06, 5.63e+06, 5.36e+06,\n", " 4.29e+06, 5.55e+06, 4.83e+06, 4.47e+06, 2.90e+06, 2.11e+06,\n", " 3.86e+06]\n", "\n", "# Update \"mass_frac:\" with the desired aerosol type\n", "# If \"mode_type\" is \"sampled\", use the data input in \"size_dist\"\n", "# If \"mode_type\" is \"log_normal\", replace \"size_dist\" with the following:\n", "# \"num_conc\": your_number concentration_data / ppmc.si.m**3,\n", "# \"geom_mean_diam\": your_geomean_diam_data* ppmc.si.m,\n", "# \"log10_geom_std_dev\": your_log10_geometric_std_dev_data,\n", "\n", "AERO_DIST_INIT = [\n", " {\n", " \"test_mode\": {\n", " \"mass_frac\": [{\"SO4\": [96]}, {\"NH4\": [36]}],\n", " \"diam_type\": \"geometric\",\n", " \"mode_type\": \"sampled\",\n", " \"size_dist\": [\n", " {\"diam\": diams},\n", " {\"num_conc\": concs},\n", " ],\n", " }\n", " }\n", "]\n", "\n", "aero_dist_init = ppmc.AeroDist(aero_data, AERO_DIST_INIT)" ] }, { "cell_type": "code", "execution_count": 13, "id": "d8d9c8fd", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "33273" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "run_part_opt = ppmc.RunPartOpt(\n", " {\n", " \"output_prefix\": \"chamber\",\n", " \"do_coagulation\": True,\n", " \"coag_kernel\": \"brown\",\n", " \"t_max\": 20160 * si.s,\n", " \"del_t\": 60 * si.s,\n", " }\n", ")\n", "\n", "N_PART = 100000\n", "aero_state = ppmc.AeroState(aero_data, N_PART, 'nummass_source')\n", "aero_state.dist_sample(\n", " aero_dist_init,\n", " sample_prop=1.0,\n", " create_time=0.0,\n", " allow_doubling=True,\n", " allow_halving=True,\n", ")" ] }, { "cell_type": "code", "execution_count": 14, "id": "5c8aef2b", "metadata": {}, "outputs": [], "source": [ "camp_core = ppmc.CampCore()\n", "photolysis = ppmc.Photolysis()" ] }, { "cell_type": "code", "execution_count": 15, "id": "0f7c29fe", "metadata": {}, "outputs": [], "source": [ "N_STEPS = int(run_part_opt.t_max / run_part_opt.del_t)\n", "num_conc = np.zeros(N_STEPS + 1)\n", "num_conc[0] = aero_state.total_num_conc\n", "mass_conc = np.zeros(N_STEPS + 1)\n", "mass_conc[0] = aero_state.total_mass_conc\n", "time = np.zeros(N_STEPS + 1)\n", "gas_mix_rat = np.zeros((N_STEPS + 1, gas_state.n_spec))\n", "gas_mix_rat[0, :] = gas_state.mix_rats\n", "\n", "height = np.zeros((N_STEPS + 1))\n", "temperature = np.zeros((N_STEPS + 1))\n", "rh = np.zeros((N_STEPS + 1))\n", "\n", "height[0] = env_state.height\n", "temperature[0] = env_state.temp\n", "rh[0] = env_state.rh\n", "\n", "diam_grid = ppmc.BinGrid(30, \"log\", 1e-9, 1e-6)\n", "dists = []\n", "dry_diameters = aero_state.dry_diameters\n", "num_concs = aero_state.num_concs\n", "dists.append(ppmc.histogram_1d(diam_grid, dry_diameters, num_concs))\n", "dist_times = [0]\n", "\n", "last_output_time = 0.\n", "last_progress_time = 0.\n", "i_output = 1\n", "\n", "for i_time in range(1,N_STEPS + 1):\n", " (last_output_time, last_progress_time, i_output) = ppmc.run_part_timestep(\n", " scenario,\n", " env_state,\n", " aero_data,\n", " aero_state,\n", " gas_data,\n", " gas_state,\n", " run_part_opt,\n", " camp_core,\n", " photolysis,\n", " i_time,\n", " T_INITIAL,\n", " last_output_time,\n", " last_progress_time,\n", " i_output\n", " )\n", "\n", " num_conc[i_time] = aero_state.total_num_conc\n", " mass_conc[i_time] = aero_state.total_mass_conc\n", " time[i_time] = env_state.elapsed_time\n", " gas_mix_rat[i_time, :] = gas_state.mix_rats\n", " height[i_time] = env_state.height\n", " temperature[i_time] = env_state.temp\n", " rh[i_time] = env_state.rh\n", " if np.mod(i_time * run_part_opt.del_t, 420.0) == 0:\n", " dry_diameters = aero_state.dry_diameters\n", " mobility_diameters = aero_state.mobility_diameters(env_state)\n", " num_concs = aero_state.num_concs\n", " dists.append(ppmc.histogram_1d(diam_grid, dry_diameters, num_concs))\n", " dist_times.append(env_state.elapsed_time)" ] }, { "cell_type": "code", "execution_count": 16, "id": "82c0cebb", "metadata": {}, "outputs": [], "source": [ "plt.rcParams.update({'font.size': 9})\n", "plt.rcParams.update({'figure.figsize': (3.08,2.5)})\n", "plt.rcParams.update({\"axes.grid\" : True})" ] }, { "cell_type": "code", "execution_count": 17, "id": "9ab2aeed-c8f3-4683-82f0-2837d7191372", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Writing ref_aero_time.txt\n" ] } ], "source": [ "%%file ref_aero_time.txt\n", "0\t1.30898E+11\t3.25738E-07\n", "420\t1.19515E+11\t3.21076E-07\n", "840\t1.09495E+11\t3.18544E-07\n", "1260\t1.01068E+11\t3.1369E-07\n", "1680\t94134900000\t3.1467E-07\n", "2100\t87897200000\t3.10829E-07\n", "2520\t82551400000\t3.08678E-07\n", "2940\t77647400000\t3.04676E-07\n", "3360\t73623800000\t3.01067E-07\n", "3780\t67930500000\t2.95461E-07\n", "4200\t65888100000\t2.90071E-07\n", "4620\t62582400000\t2.84073E-07\n", "5040\t59765600000\t2.80337E-07\n", "5460\t57719900000\t2.8295E-07\n", "5880\t54980200000\t2.83708E-07\n", "6300\t52876900000\t2.78871E-07\n", "6720\t51163400000\t2.76975E-07\n", "7140\t49071700000\t2.75866E-07\n", "7560\t46814100000\t2.71413E-07\n", "7980\t45264200000\t2.67989E-07\n", "8400\t43484200000\t2.6377E-07\n", "8820\t42400400000\t2.64128E-07\n", "9240\t40871900000\t2.58219E-07\n", "9660\t39407200000\t2.53514E-07\n", "10080\t38229100000\t2.52278E-07\n", "10500\t37014700000\t2.4769E-07\n", "10920\t35644000000\t2.42154E-07\n", "11340\t34410900000\t2.40518E-07\n", "11760\t33681200000\t2.43037E-07\n", "12180\t32030300000\t2.40009E-07\n", "12600\t31212500000\t2.38165E-07\n", "13020\t30291900000\t2.34896E-07\n", "13440\t29387600000\t2.30355E-07\n", "13860\t28567600000\t2.30407E-07\n", "14280\t27855500000\t2.28884E-07\n", "14700\t26997800000\t2.23884E-07\n", "15120\t26348700000\t2.21466E-07\n", "15540\t25458700000\t2.15623E-07\n", "15960\t24840600000\t2.14156E-07\n", "16380\t24219400000\t2.09616E-07\n", "16800\t23710900000\t2.05986E-07\n", "17220\t23038300000\t2.05518E-07\n", "17640\t22625600000\t2.02444E-07\n", "18060\t22069200000\t2.03548E-07\n", "18480\t21447500000\t1.99564E-07\n", "18900\t20930500000\t1.98804E-07\n", "19320\t20511200000\t1.98153E-07\n", "19740\t20020700000\t1.95232E-07\n", "20160\t19622600000\t1.90199E-07" ] }, { "cell_type": "code", "execution_count": 18, "id": "72077383-7d47-4265-ae8c-a1dcd10db293", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Writing ref_aero_size_num.txt\n" ] } ], "source": [ "%%file ref_aero_size_num.txt\n", "1.36E-08\t6.60E+08\t6.53E+07\t1.50E+08\t2.61E+08\t6.53E+07\t6.53E+07\t1.96E+08\t9.09E+07\t1.31E+08\t1.31E+08\t6.53E+07\t0\t6.53E+07\t6.53E+07\t0\t1.96E+08\t6.53E+07\t1.31E+08\t6.53E+07\t0\t0\t1.96E+08\t0\t6.58E+06\t0\t0\t0\t1.96E+08\t1.31E+08\t0\t1.31E+08\t0\t6.53E+07\t6.53E+07\t6.53E+07\t0\t0\t0\t0\t0\t0\t0\t0\t0\t0\t0\t0\t0\t0\n", "1.41E-08\t6.76E+08\t4.34E+08\t1.24E+08\t6.21E+07\t0\t6.21E+07\t1.24E+08\t5.58E+07\t0\t0\t0\t0\t0\t1.24E+08\t6.21E+07\t1.24E+08\t6.21E+07\t0\t0\t0\t0\t0\t6.21E+07\t5.58E+07\t0\t0\t0\t6.21E+07\t6.21E+07\t0\t0\t0\t0\t6.21E+07\t0\t0\t0\t0\t6.21E+07\t0\t2.94E+07\t6.21E+07\t6.21E+07\t6.21E+07\t0\t6.21E+07\t0\t0\t6.21E+07\n", "1.46E-08\t2.95E+08\t1.18E+08\t1.77E+08\t4.87E+07\t0\t5.90E+07\t5.90E+07\t1.77E+08\t0\t5.90E+07\t0\t0\t0\t5.90E+07\t5.90E+07\t1.18E+08\t0\t5.90E+07\t0\t0\t0\t0\t0\t0\t4.87E+07\t0\t0\t0\t0\t0\t0\t0\t0\t0\t0\t5.90E+07\t0\t0\t5.90E+07\t0\t1.49E+08\t5.90E+07\t0\t5.90E+07\t0\t0\t5.90E+07\t0\t0\n", "1.51E-08\t2.82E+08\t3.38E+08\t2.82E+08\t9.82E+06\t5.63E+07\t0\t8.81E+06\t0\t1.13E+08\t0\t0\t0\t0\t0\t0\t0\t1.13E+08\t0\t0\t0\t0\t1.13E+08\t5.63E+07\t0\t9.82E+06\t0\t0\t5.63E+07\t0\t0\t0\t0\t0\t0\t0\t0\t0\t5.63E+07\t0\t0\t0\t0\t0\t0\t0\t0\t0\t0\t0\n", 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"6.85E-08\t1.66E+11\t1.46E+11\t1.28E+11\t1.09E+11\t9.68E+10\t8.52E+10\t7.52E+10\t6.83E+10\t6.04E+10\t5.31E+10\t5.11E+10\t4.48E+10\t4.25E+10\t4.06E+10\t3.59E+10\t3.37E+10\t3.08E+10\t2.95E+10\t2.63E+10\t2.35E+10\t2.24E+10\t2.18E+10\t1.96E+10\t1.72E+10\t1.54E+10\t1.56E+10\t1.51E+10\t1.49E+10\t1.45E+10\t1.15E+10\t1.03E+10\t9.68E+09\t8.72E+09\t9.50E+09\t7.98E+09\t8.06E+09\t7.31E+09\t6.68E+09\t7.05E+09\t6.33E+09\t6.63E+09\t5.60E+09\t5.33E+09\t5.29E+09\t4.95E+09\t4.60E+09\t5.08E+09\t4.55E+09\t4.85E+09\n", 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"7.64E-08\t1.93E+11\t1.70E+11\t1.43E+11\t1.30E+11\t1.09E+11\t1.03E+11\t8.94E+10\t8.41E+10\t7.30E+10\t6.76E+10\t6.32E+10\t5.82E+10\t5.31E+10\t4.91E+10\t4.39E+10\t4.30E+10\t3.92E+10\t3.64E+10\t3.42E+10\t3.05E+10\t3.07E+10\t2.72E+10\t2.69E+10\t2.39E+10\t2.31E+10\t2.17E+10\t1.94E+10\t2.03E+10\t1.79E+10\t1.45E+10\t1.59E+10\t1.31E+10\t1.29E+10\t1.24E+10\t1.11E+10\t1.01E+10\t9.88E+09\t9.61E+09\t8.53E+09\t9.21E+09\t8.04E+09\t7.45E+09\t7.83E+09\t7.82E+09\t5.81E+09\t7.10E+09\t6.62E+09\t5.45E+09\t5.35E+09\n", "7.91E-08\t2.04E+11\t1.81E+11\t1.54E+11\t1.34E+11\t1.23E+11\t1.12E+11\t9.97E+10\t8.81E+10\t8.14E+10\t7.19E+10\t6.71E+10\t6.27E+10\t5.92E+10\t5.46E+10\t4.92E+10\t4.65E+10\t4.40E+10\t3.82E+10\t3.90E+10\t3.55E+10\t3.23E+10\t3.04E+10\t2.85E+10\t2.76E+10\t2.60E+10\t2.36E+10\t2.28E+10\t1.95E+10\t2.04E+10\t1.83E+10\t1.65E+10\t1.51E+10\t1.39E+10\t1.42E+10\t1.21E+10\t1.28E+10\t1.19E+10\t1.19E+10\t1.00E+10\t1.11E+10\t9.97E+09\t8.76E+09\t8.23E+09\t8.29E+09\t8.38E+09\t8.83E+09\t7.51E+09\t7.10E+09\t7.80E+09\n", 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"1.22E-07\t2.43E+11\t2.28E+11\t2.18E+11\t2.07E+11\t1.90E+11\t1.81E+11\t1.69E+11\t1.58E+11\t1.51E+11\t1.35E+11\t1.28E+11\t1.20E+11\t1.13E+11\t1.08E+11\t1.04E+11\t9.66E+10\t9.72E+10\t9.01E+10\t7.99E+10\t7.94E+10\t8.12E+10\t7.62E+10\t7.19E+10\t6.97E+10\t6.58E+10\t6.29E+10\t5.86E+10\t5.50E+10\t5.66E+10\t5.39E+10\t5.03E+10\t5.00E+10\t4.48E+10\t4.57E+10\t4.37E+10\t4.26E+10\t4.00E+10\t3.70E+10\t3.57E+10\t3.47E+10\t3.65E+10\t3.40E+10\t3.49E+10\t3.14E+10\t3.19E+10\t2.93E+10\t3.05E+10\t2.78E+10\t2.85E+10\n", "1.26E-07\t2.40E+11\t2.30E+11\t2.13E+11\t2.00E+11\t1.97E+11\t1.78E+11\t1.64E+11\t1.59E+11\t1.52E+11\t1.40E+11\t1.26E+11\t1.25E+11\t1.19E+11\t1.10E+11\t1.07E+11\t1.05E+11\t9.49E+10\t9.31E+10\t8.93E+10\t8.60E+10\t8.16E+10\t8.09E+10\t7.71E+10\t7.15E+10\t6.51E+10\t6.53E+10\t6.41E+10\t6.28E+10\t5.74E+10\t5.67E+10\t5.28E+10\t4.81E+10\t4.87E+10\t4.68E+10\t4.69E+10\t4.49E+10\t4.26E+10\t3.90E+10\t3.96E+10\t3.71E+10\t3.78E+10\t3.72E+10\t3.53E+10\t3.20E+10\t3.22E+10\t3.07E+10\t3.07E+10\t3.05E+10\t2.95E+10\n", "1.31E-07\t2.38E+11\t2.24E+11\t2.09E+11\t1.99E+11\t1.91E+11\t1.77E+11\t1.67E+11\t1.55E+11\t1.48E+11\t1.41E+11\t1.34E+11\t1.27E+11\t1.18E+11\t1.16E+11\t1.11E+11\t1.06E+11\t9.71E+10\t9.57E+10\t9.06E+10\t8.83E+10\t8.60E+10\t8.08E+10\t7.65E+10\t7.38E+10\t7.21E+10\t6.92E+10\t6.50E+10\t6.25E+10\t6.07E+10\t5.66E+10\t5.95E+10\t5.43E+10\t5.25E+10\t5.01E+10\t4.83E+10\t4.57E+10\t4.45E+10\t4.46E+10\t4.31E+10\t3.99E+10\t4.12E+10\t3.68E+10\t3.85E+10\t3.70E+10\t3.55E+10\t3.51E+10\t3.08E+10\t3.20E+10\t3.06E+10\n", "1.36E-07\t2.28E+11\t2.13E+11\t2.09E+11\t1.94E+11\t1.87E+11\t1.73E+11\t1.68E+11\t1.60E+11\t1.54E+11\t1.44E+11\t1.38E+11\t1.23E+11\t1.23E+11\t1.19E+11\t1.10E+11\t1.06E+11\t1.04E+11\t1.00E+11\t9.72E+10\t8.91E+10\t8.84E+10\t8.24E+10\t8.08E+10\t7.48E+10\t7.55E+10\t7.32E+10\t6.87E+10\t6.66E+10\t6.36E+10\t6.10E+10\t5.86E+10\t5.80E+10\t5.54E+10\t5.15E+10\t5.00E+10\t4.67E+10\t4.60E+10\t4.67E+10\t4.24E+10\t4.19E+10\t4.26E+10\t4.08E+10\t3.93E+10\t3.99E+10\t3.65E+10\t3.61E+10\t3.45E+10\t3.54E+10\t3.21E+10\n", "1.41E-07\t2.17E+11\t2.07E+11\t2.02E+11\t1.96E+11\t1.84E+11\t1.75E+11\t1.68E+11\t1.62E+11\t1.54E+11\t1.44E+11\t1.37E+11\t1.31E+11\t1.22E+11\t1.20E+11\t1.15E+11\t1.07E+11\t1.04E+11\t1.00E+11\t9.42E+10\t9.00E+10\t9.04E+10\t8.51E+10\t8.06E+10\t8.15E+10\t7.47E+10\t7.24E+10\t6.66E+10\t6.88E+10\t6.67E+10\t6.52E+10\t6.02E+10\t5.98E+10\t5.58E+10\t5.37E+10\t5.66E+10\t5.17E+10\t5.04E+10\t4.95E+10\t4.70E+10\t4.43E+10\t4.45E+10\t4.35E+10\t4.31E+10\t4.06E+10\t4.04E+10\t3.66E+10\t3.92E+10\t3.51E+10\t3.51E+10\n", "1.46E-07\t2.13E+11\t2.01E+11\t1.95E+11\t1.86E+11\t1.77E+11\t1.69E+11\t1.61E+11\t1.59E+11\t1.53E+11\t1.45E+11\t1.37E+11\t1.30E+11\t1.26E+11\t1.22E+11\t1.13E+11\t1.12E+11\t1.05E+11\t1.02E+11\t9.63E+10\t9.78E+10\t8.99E+10\t8.70E+10\t8.40E+10\t8.08E+10\t7.81E+10\t7.83E+10\t7.54E+10\t7.08E+10\t6.76E+10\t6.66E+10\t6.36E+10\t6.11E+10\t5.87E+10\t5.61E+10\t5.56E+10\t5.26E+10\t5.28E+10\t5.03E+10\t4.78E+10\t4.75E+10\t4.65E+10\t4.47E+10\t4.40E+10\t4.50E+10\t4.25E+10\t3.97E+10\t3.84E+10\t3.58E+10\t3.70E+10\n", "1.51E-07\t2.04E+11\t1.92E+11\t1.90E+11\t1.84E+11\t1.73E+11\t1.61E+11\t1.60E+11\t1.56E+11\t1.44E+11\t1.41E+11\t1.33E+11\t1.29E+11\t1.26E+11\t1.21E+11\t1.13E+11\t1.11E+11\t1.06E+11\t9.93E+10\t9.81E+10\t9.36E+10\t9.15E+10\t8.96E+10\t8.74E+10\t8.28E+10\t8.14E+10\t7.72E+10\t7.33E+10\t6.82E+10\t6.90E+10\t6.84E+10\t6.64E+10\t6.59E+10\t6.25E+10\t5.98E+10\t5.68E+10\t5.40E+10\t5.45E+10\t5.10E+10\t5.05E+10\t4.72E+10\t4.87E+10\t4.59E+10\t4.56E+10\t4.44E+10\t4.20E+10\t4.27E+10\t4.21E+10\t3.90E+10\t3.78E+10\n", "1.57E-07\t1.92E+11\t1.87E+11\t1.80E+11\t1.73E+11\t1.69E+11\t1.65E+11\t1.54E+11\t1.52E+11\t1.44E+11\t1.35E+11\t1.32E+11\t1.28E+11\t1.25E+11\t1.16E+11\t1.15E+11\t1.10E+11\t1.11E+11\t1.05E+11\t9.91E+10\t9.45E+10\t9.16E+10\t8.97E+10\t8.60E+10\t8.36E+10\t8.25E+10\t7.83E+10\t7.46E+10\t6.98E+10\t7.00E+10\t6.71E+10\t6.88E+10\t6.35E+10\t6.16E+10\t6.07E+10\t6.12E+10\t5.75E+10\t5.57E+10\t5.48E+10\t5.27E+10\t5.07E+10\t4.99E+10\t4.67E+10\t4.71E+10\t4.49E+10\t4.32E+10\t4.35E+10\t4.13E+10\t4.10E+10\t4.11E+10\n", "1.63E-07\t1.80E+11\t1.74E+11\t1.77E+11\t1.68E+11\t1.64E+11\t1.58E+11\t1.49E+11\t1.48E+11\t1.45E+11\t1.32E+11\t1.32E+11\t1.24E+11\t1.19E+11\t1.19E+11\t1.12E+11\t1.13E+11\t1.10E+11\t1.01E+11\t9.85E+10\t9.80E+10\t9.10E+10\t9.05E+10\t8.69E+10\t8.49E+10\t8.05E+10\t7.88E+10\t7.56E+10\t7.30E+10\t7.25E+10\t6.96E+10\t6.93E+10\t6.69E+10\t6.57E+10\t6.16E+10\t5.92E+10\t5.85E+10\t5.77E+10\t5.49E+10\t5.33E+10\t5.12E+10\t5.18E+10\t4.97E+10\t4.93E+10\t4.78E+10\t4.73E+10\t4.28E+10\t4.25E+10\t4.13E+10\t4.25E+10\n", "1.69E-07\t1.63E+11\t1.63E+11\t1.59E+11\t1.58E+11\t1.51E+11\t1.49E+11\t1.46E+11\t1.42E+11\t1.37E+11\t1.29E+11\t1.25E+11\t1.23E+11\t1.19E+11\t1.15E+11\t1.09E+11\t1.08E+11\t1.04E+11\t1.01E+11\t9.79E+10\t9.54E+10\t9.13E+10\t9.06E+10\t8.56E+10\t8.68E+10\t8.17E+10\t8.20E+10\t7.88E+10\t7.43E+10\t7.04E+10\t7.09E+10\t6.91E+10\t6.70E+10\t6.66E+10\t6.26E+10\t6.10E+10\t5.83E+10\t5.90E+10\t5.63E+10\t5.56E+10\t5.32E+10\t5.12E+10\t5.17E+10\t4.99E+10\t4.96E+10\t4.70E+10\t4.50E+10\t4.47E+10\t4.08E+10\t4.03E+10\n", "1.75E-07\t1.55E+11\t1.50E+11\t1.50E+11\t1.48E+11\t1.46E+11\t1.40E+11\t1.37E+11\t1.36E+11\t1.26E+11\t1.28E+11\t1.25E+11\t1.18E+11\t1.17E+11\t1.16E+11\t1.13E+11\t1.07E+11\t1.03E+11\t1.02E+11\t9.63E+10\t9.38E+10\t9.07E+10\t8.85E+10\t8.62E+10\t8.12E+10\t8.06E+10\t7.86E+10\t8.12E+10\t7.39E+10\t7.25E+10\t7.11E+10\t7.18E+10\t6.64E+10\t6.58E+10\t6.30E+10\t6.25E+10\t6.17E+10\t5.72E+10\t5.55E+10\t5.78E+10\t5.62E+10\t5.23E+10\t5.06E+10\t5.08E+10\t4.98E+10\t4.61E+10\t4.75E+10\t4.43E+10\t4.20E+10\t4.28E+10\n", "1.81E-07\t1.40E+11\t1.37E+11\t1.38E+11\t1.35E+11\t1.37E+11\t1.35E+11\t1.30E+11\t1.23E+11\t1.25E+11\t1.21E+11\t1.18E+11\t1.16E+11\t1.11E+11\t1.08E+11\t1.05E+11\t1.03E+11\t1.02E+11\t9.85E+10\t9.29E+10\t9.32E+10\t8.92E+10\t8.54E+10\t8.58E+10\t8.26E+10\t8.09E+10\t7.89E+10\t7.99E+10\t7.31E+10\t7.40E+10\t7.09E+10\t7.09E+10\t6.86E+10\t6.45E+10\t6.26E+10\t6.07E+10\t6.13E+10\t5.95E+10\t5.71E+10\t5.50E+10\t5.53E+10\t5.22E+10\t5.31E+10\t4.95E+10\t4.84E+10\t4.83E+10\t4.81E+10\t4.43E+10\t4.69E+10\t4.46E+10\n", "1.88E-07\t1.25E+11\t1.26E+11\t1.26E+11\t1.24E+11\t1.26E+11\t1.22E+11\t1.22E+11\t1.19E+11\t1.21E+11\t1.15E+11\t1.14E+11\t1.12E+11\t1.05E+11\t1.07E+11\t1.04E+11\t1.02E+11\t9.85E+10\t9.40E+10\t9.22E+10\t9.13E+10\t8.45E+10\t8.44E+10\t8.32E+10\t8.09E+10\t7.97E+10\t7.55E+10\t7.59E+10\t7.56E+10\t7.58E+10\t6.80E+10\t6.93E+10\t6.71E+10\t6.76E+10\t6.23E+10\t6.25E+10\t6.17E+10\t6.10E+10\t5.93E+10\t5.62E+10\t5.60E+10\t5.42E+10\t5.36E+10\t5.11E+10\t5.13E+10\t4.76E+10\t4.71E+10\t4.48E+10\t4.50E+10\t4.74E+10\n", 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"2.02E-07\t9.77E+10\t1.01E+11\t1.02E+11\t1.02E+11\t1.03E+11\t1.04E+11\t1.00E+11\t1.04E+11\t1.00E+11\t9.95E+10\t9.61E+10\t9.73E+10\t9.40E+10\t9.20E+10\t8.84E+10\t9.08E+10\t8.94E+10\t9.00E+10\t8.29E+10\t8.26E+10\t7.90E+10\t8.06E+10\t7.88E+10\t7.54E+10\t7.29E+10\t7.30E+10\t7.10E+10\t6.89E+10\t6.81E+10\t6.80E+10\t6.54E+10\t6.45E+10\t6.10E+10\t6.09E+10\t6.07E+10\t5.70E+10\t5.80E+10\t5.64E+10\t5.26E+10\t5.59E+10\t5.27E+10\t5.25E+10\t4.93E+10\t4.94E+10\t4.84E+10\t4.52E+10\t4.67E+10\t4.59E+10\t4.32E+10\n", "2.09E-07\t8.74E+10\t8.83E+10\t9.14E+10\t9.19E+10\t9.26E+10\t9.21E+10\t9.38E+10\t9.27E+10\t9.26E+10\t9.19E+10\t9.08E+10\t9.10E+10\t8.81E+10\t8.61E+10\t8.46E+10\t8.35E+10\t8.23E+10\t8.00E+10\t8.24E+10\t7.69E+10\t7.49E+10\t7.67E+10\t7.51E+10\t7.16E+10\t7.03E+10\t7.06E+10\t6.94E+10\t6.38E+10\t6.57E+10\t6.35E+10\t6.37E+10\t6.15E+10\t6.03E+10\t6.07E+10\t5.85E+10\t5.71E+10\t5.72E+10\t5.44E+10\t5.34E+10\t5.31E+10\t5.17E+10\t4.97E+10\t4.95E+10\t4.88E+10\t4.81E+10\t4.45E+10\t4.67E+10\t4.53E+10\t4.46E+10\n", "2.17E-07\t7.35E+10\t7.61E+10\t8.09E+10\t7.94E+10\t8.34E+10\t8.41E+10\t8.45E+10\t8.35E+10\t8.05E+10\t8.05E+10\t8.09E+10\t8.16E+10\t8.12E+10\t8.06E+10\t7.94E+10\t7.77E+10\t7.56E+10\t7.36E+10\t7.26E+10\t7.42E+10\t7.22E+10\t7.03E+10\t7.01E+10\t6.76E+10\t6.73E+10\t6.61E+10\t6.60E+10\t6.34E+10\t6.44E+10\t6.40E+10\t6.02E+10\t5.97E+10\t5.97E+10\t5.70E+10\t5.36E+10\t5.67E+10\t5.19E+10\t5.20E+10\t5.11E+10\t5.11E+10\t4.98E+10\t4.84E+10\t4.90E+10\t4.65E+10\t4.52E+10\t4.48E+10\t4.57E+10\t4.27E+10\t4.40E+10\n", "2.25E-07\t6.30E+10\t6.52E+10\t6.90E+10\t7.03E+10\t7.22E+10\t7.19E+10\t7.47E+10\t7.40E+10\t7.52E+10\t7.38E+10\t7.46E+10\t7.31E+10\t7.14E+10\t7.43E+10\t7.08E+10\t6.95E+10\t7.04E+10\t6.88E+10\t6.76E+10\t6.52E+10\t6.58E+10\t6.39E+10\t6.58E+10\t6.46E+10\t6.46E+10\t6.16E+10\t6.35E+10\t6.02E+10\t5.89E+10\t5.78E+10\t5.66E+10\t5.62E+10\t5.72E+10\t5.28E+10\t5.13E+10\t5.22E+10\t5.14E+10\t5.12E+10\t4.87E+10\t4.69E+10\t4.85E+10\t4.58E+10\t4.53E+10\t4.61E+10\t4.30E+10\t4.40E+10\t4.36E+10\t4.36E+10\t4.16E+10\n", "2.33E-07\t5.14E+10\t5.74E+10\t5.74E+10\t5.96E+10\t6.14E+10\t6.49E+10\t6.36E+10\t6.33E+10\t6.54E+10\t6.63E+10\t6.37E+10\t6.58E+10\t6.52E+10\t6.35E+10\t6.47E+10\t6.53E+10\t6.58E+10\t6.31E+10\t6.18E+10\t6.36E+10\t6.21E+10\t6.04E+10\t6.09E+10\t5.85E+10\t5.72E+10\t5.77E+10\t5.60E+10\t5.56E+10\t5.53E+10\t5.45E+10\t5.33E+10\t5.28E+10\t5.08E+10\t5.04E+10\t5.10E+10\t5.08E+10\t4.95E+10\t4.91E+10\t4.75E+10\t4.72E+10\t4.73E+10\t4.49E+10\t4.41E+10\t4.29E+10\t4.18E+10\t4.11E+10\t3.93E+10\t3.93E+10\t3.95E+10\n", "2.41E-07\t4.41E+10\t4.78E+10\t4.87E+10\t4.93E+10\t5.31E+10\t5.44E+10\t5.43E+10\t5.55E+10\t5.69E+10\t5.95E+10\t5.58E+10\t5.86E+10\t5.74E+10\t5.69E+10\t5.64E+10\t5.76E+10\t5.71E+10\t5.67E+10\t5.52E+10\t5.48E+10\t5.63E+10\t5.67E+10\t5.29E+10\t5.43E+10\t5.27E+10\t5.34E+10\t5.21E+10\t5.16E+10\t5.23E+10\t5.09E+10\t5.01E+10\t4.76E+10\t4.97E+10\t4.81E+10\t4.55E+10\t4.64E+10\t4.76E+10\t4.53E+10\t4.46E+10\t4.39E+10\t4.32E+10\t4.30E+10\t4.10E+10\t4.14E+10\t4.15E+10\t3.98E+10\t3.96E+10\t3.77E+10\t3.74E+10\n", "2.50E-07\t3.71E+10\t3.87E+10\t4.12E+10\t4.11E+10\t4.41E+10\t4.65E+10\t4.83E+10\t4.66E+10\t4.96E+10\t5.11E+10\t4.94E+10\t4.92E+10\t4.94E+10\t4.96E+10\t5.11E+10\t5.01E+10\t4.78E+10\t5.08E+10\t5.14E+10\t4.96E+10\t4.98E+10\t4.99E+10\t4.95E+10\t4.84E+10\t4.90E+10\t4.61E+10\t4.58E+10\t4.61E+10\t4.62E+10\t4.79E+10\t4.62E+10\t4.58E+10\t4.33E+10\t4.46E+10\t4.22E+10\t4.21E+10\t4.11E+10\t3.98E+10\t4.10E+10\t4.07E+10\t3.85E+10\t3.81E+10\t3.79E+10\t3.72E+10\t3.69E+10\t3.69E+10\t3.81E+10\t3.65E+10\t3.60E+10\n", "2.60E-07\t2.93E+10\t3.05E+10\t3.16E+10\t3.43E+10\t3.44E+10\t3.73E+10\t3.89E+10\t3.96E+10\t3.89E+10\t4.16E+10\t4.19E+10\t4.02E+10\t4.38E+10\t4.22E+10\t4.27E+10\t4.18E+10\t4.35E+10\t4.20E+10\t4.41E+10\t4.22E+10\t4.27E+10\t4.25E+10\t4.29E+10\t3.99E+10\t4.39E+10\t4.22E+10\t4.13E+10\t4.13E+10\t4.20E+10\t4.00E+10\t3.90E+10\t3.99E+10\t3.94E+10\t3.82E+10\t3.96E+10\t3.86E+10\t3.78E+10\t3.70E+10\t3.73E+10\t3.63E+10\t3.51E+10\t3.50E+10\t3.49E+10\t3.37E+10\t3.35E+10\t3.22E+10\t3.37E+10\t3.37E+10\t3.33E+10\n", "2.69E-07\t2.34E+10\t2.43E+10\t2.68E+10\t2.60E+10\t3.06E+10\t2.99E+10\t3.16E+10\t3.31E+10\t3.45E+10\t3.45E+10\t3.49E+10\t3.45E+10\t3.51E+10\t3.65E+10\t3.54E+10\t3.66E+10\t3.75E+10\t3.70E+10\t3.78E+10\t3.66E+10\t3.70E+10\t3.79E+10\t3.72E+10\t3.82E+10\t3.78E+10\t3.72E+10\t3.67E+10\t3.68E+10\t3.69E+10\t3.48E+10\t3.51E+10\t3.44E+10\t3.43E+10\t3.67E+10\t3.58E+10\t3.47E+10\t3.51E+10\t3.30E+10\t3.40E+10\t3.38E+10\t3.18E+10\t3.15E+10\t3.11E+10\t3.08E+10\t3.04E+10\t3.04E+10\t3.07E+10\t3.13E+10\t2.84E+10\n", "2.79E-07\t1.80E+10\t1.83E+10\t1.98E+10\t2.12E+10\t2.26E+10\t2.30E+10\t2.56E+10\t2.77E+10\t2.73E+10\t2.67E+10\t2.90E+10\t3.00E+10\t3.01E+10\t2.93E+10\t2.92E+10\t2.98E+10\t3.04E+10\t2.99E+10\t3.08E+10\t3.11E+10\t3.17E+10\t3.19E+10\t3.16E+10\t2.97E+10\t3.24E+10\t3.24E+10\t3.10E+10\t3.04E+10\t3.30E+10\t3.15E+10\t3.07E+10\t3.00E+10\t2.89E+10\t3.03E+10\t3.11E+10\t3.00E+10\t3.11E+10\t2.87E+10\t2.93E+10\t2.82E+10\t2.74E+10\t2.81E+10\t2.74E+10\t2.77E+10\t2.75E+10\t2.71E+10\t2.60E+10\t2.77E+10\t2.61E+10\n", "2.89E-07\t1.33E+10\t1.48E+10\t1.71E+10\t1.63E+10\t1.79E+10\t1.94E+10\t1.97E+10\t2.09E+10\t2.23E+10\t2.24E+10\t2.21E+10\t2.36E+10\t2.50E+10\t2.34E+10\t2.46E+10\t2.39E+10\t2.48E+10\t2.47E+10\t2.62E+10\t2.68E+10\t2.53E+10\t2.70E+10\t2.68E+10\t2.70E+10\t2.65E+10\t2.68E+10\t2.53E+10\t2.53E+10\t2.68E+10\t2.58E+10\t2.66E+10\t2.72E+10\t2.62E+10\t2.70E+10\t2.56E+10\t2.60E+10\t2.77E+10\t2.59E+10\t2.57E+10\t2.50E+10\t2.39E+10\t2.39E+10\t2.52E+10\t2.46E+10\t2.30E+10\t2.47E+10\t2.46E+10\t2.31E+10\t2.33E+10\n", "3.00E-07\t1.05E+10\t1.15E+10\t1.22E+10\t1.34E+10\t1.36E+10\t1.39E+10\t1.63E+10\t1.50E+10\t1.65E+10\t1.70E+10\t1.76E+10\t1.80E+10\t1.89E+10\t1.76E+10\t1.89E+10\t1.99E+10\t1.93E+10\t2.01E+10\t2.13E+10\t2.17E+10\t1.98E+10\t2.09E+10\t2.12E+10\t2.17E+10\t2.16E+10\t2.16E+10\t2.10E+10\t2.10E+10\t2.26E+10\t2.23E+10\t2.24E+10\t2.17E+10\t2.09E+10\t2.19E+10\t2.37E+10\t2.22E+10\t2.26E+10\t2.01E+10\t2.25E+10\t2.10E+10\t2.08E+10\t2.11E+10\t2.11E+10\t2.10E+10\t2.00E+10\t2.01E+10\t2.03E+10\t2.06E+10\t1.92E+10\n", "3.11E-07\t7.95E+09\t9.03E+09\t9.09E+09\t9.62E+09\t1.04E+10\t1.07E+10\t1.13E+10\t1.21E+10\t1.28E+10\t1.33E+10\t1.38E+10\t1.42E+10\t1.57E+10\t1.46E+10\t1.51E+10\t1.49E+10\t1.52E+10\t1.59E+10\t1.64E+10\t1.70E+10\t1.63E+10\t1.74E+10\t1.81E+10\t1.66E+10\t1.80E+10\t1.82E+10\t1.83E+10\t1.81E+10\t1.70E+10\t1.86E+10\t1.82E+10\t1.88E+10\t1.91E+10\t1.81E+10\t1.81E+10\t1.84E+10\t1.86E+10\t1.81E+10\t1.77E+10\t1.85E+10\t1.71E+10\t1.85E+10\t1.74E+10\t1.74E+10\t1.69E+10\t1.60E+10\t1.73E+10\t1.78E+10\t1.68E+10\n", "3.22E-07\t5.39E+09\t6.75E+09\t7.41E+09\t7.49E+09\t8.71E+09\t8.81E+09\t9.03E+09\t8.83E+09\t9.89E+09\t1.04E+10\t1.03E+10\t1.16E+10\t1.07E+10\t1.16E+10\t1.21E+10\t1.17E+10\t1.28E+10\t1.36E+10\t1.28E+10\t1.37E+10\t1.40E+10\t1.42E+10\t1.33E+10\t1.41E+10\t1.50E+10\t1.49E+10\t1.36E+10\t1.38E+10\t1.41E+10\t1.48E+10\t1.48E+10\t1.49E+10\t1.53E+10\t1.46E+10\t1.57E+10\t1.45E+10\t1.59E+10\t1.43E+10\t1.56E+10\t1.47E+10\t1.53E+10\t1.39E+10\t1.39E+10\t1.42E+10\t1.35E+10\t1.47E+10\t1.42E+10\t1.44E+10\t1.48E+10\n", "3.34E-07\t4.33E+09\t5.00E+09\t5.53E+09\t5.65E+09\t6.14E+09\t6.81E+09\t7.10E+09\t6.65E+09\t7.80E+09\t7.96E+09\t8.33E+09\t8.64E+09\t8.36E+09\t7.87E+09\t9.38E+09\t8.90E+09\t9.33E+09\t9.55E+09\t1.07E+10\t1.11E+10\t1.18E+10\t1.11E+10\t1.06E+10\t1.13E+10\t1.15E+10\t1.16E+10\t1.08E+10\t1.10E+10\t1.16E+10\t1.20E+10\t1.15E+10\t1.20E+10\t1.16E+10\t1.24E+10\t1.24E+10\t1.24E+10\t1.22E+10\t1.27E+10\t1.22E+10\t1.22E+10\t1.24E+10\t1.17E+10\t1.16E+10\t1.24E+10\t1.10E+10\t1.22E+10\t1.22E+10\t1.16E+10\t1.12E+10\n", "3.46E-07\t3.99E+09\t3.58E+09\t3.88E+09\t4.54E+09\t4.51E+09\t4.71E+09\t5.30E+09\t5.70E+09\t5.42E+09\t6.26E+09\t5.85E+09\t5.86E+09\t6.72E+09\t6.34E+09\t6.63E+09\t6.74E+09\t7.27E+09\t7.29E+09\t7.74E+09\t7.92E+09\t8.54E+09\t8.42E+09\t8.75E+09\t8.43E+09\t9.65E+09\t8.57E+09\t8.20E+09\t8.83E+09\t9.52E+09\t9.11E+09\t9.37E+09\t9.26E+09\t9.39E+09\t9.02E+09\t1.04E+10\t9.51E+09\t9.72E+09\t1.04E+10\t9.79E+09\t1.02E+10\t1.03E+10\t9.10E+09\t9.64E+09\t9.82E+09\t9.86E+09\t1.06E+10\t9.66E+09\t9.75E+09\t9.56E+09\n", 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"5.14E-07\t4.27E+08\t6.43E+08\t5.35E+08\t5.64E+08\t6.65E+08\t4.71E+08\t5.15E+08\t6.67E+08\t4.24E+08\t6.01E+08\t3.46E+08\t3.34E+08\t2.06E+08\t6.62E+08\t4.51E+08\t5.37E+08\t5.35E+08\t6.77E+08\t5.54E+08\t4.69E+08\t5.25E+08\t5.59E+08\t4.24E+08\t6.43E+08\t4.88E+08\t4.02E+08\t6.23E+08\t5.79E+08\t7.53E+08\t6.94E+08\t7.53E+08\t6.53E+08\t5.79E+08\t6.99E+08\t6.11E+08\t7.63E+08\t4.09E+08\t5.83E+08\t4.64E+08\t4.86E+08\t5.99E+08\t6.40E+08\t4.51E+08\t5.79E+08\t7.09E+08\t6.87E+08\t5.62E+08\t3.83E+08\t6.65E+08\n", "5.33E-07\t5.55E+08\t4.03E+08\t4.73E+08\t4.55E+08\t4.90E+08\t3.78E+08\t4.13E+08\t2.98E+08\t5.13E+08\t2.49E+08\t3.18E+08\t2.24E+08\t2.71E+08\t3.41E+08\t4.26E+08\t4.88E+08\t5.20E+08\t4.80E+08\t4.23E+08\t3.01E+08\t5.78E+08\t4.93E+08\t3.98E+08\t3.36E+08\t4.23E+08\t4.68E+08\t4.30E+08\t5.65E+08\t2.91E+08\t5.60E+08\t4.06E+08\t4.55E+08\t5.35E+08\t5.00E+08\t4.90E+08\t4.21E+08\t5.13E+08\t4.43E+08\t3.63E+08\t4.98E+08\t3.14E+08\t5.07E+08\t6.65E+08\t3.38E+08\t4.48E+08\t4.90E+08\t7.37E+08\t5.58E+08\t3.56E+08\n", "5.52E-07\t5.46E+08\t3.00E+08\t3.14E+08\t2.91E+08\t3.00E+08\t3.45E+08\t3.18E+08\t4.50E+08\t2.32E+08\t3.59E+08\t3.36E+08\t2.13E+08\t2.45E+08\t3.41E+08\t4.82E+08\t2.82E+08\t4.32E+08\t4.68E+08\t4.14E+08\t4.77E+08\t3.36E+08\t3.91E+08\t4.59E+08\t5.68E+08\t2.77E+08\t4.36E+08\t3.22E+08\t4.77E+08\t3.41E+08\t5.00E+08\t3.82E+08\t6.50E+08\t3.18E+08\t3.04E+08\t4.09E+08\t3.91E+08\t3.63E+08\t3.68E+08\t2.91E+08\t2.50E+08\t3.41E+08\t4.90E+08\t3.86E+08\t2.23E+08\t5.00E+08\t4.32E+08\t3.59E+08\t4.68E+08\t6.00E+08\n", "5.73E-07\t3.99E+08\t4.60E+08\t1.86E+08\t2.99E+08\t3.91E+08\t4.37E+08\t3.41E+08\t2.99E+08\t2.28E+08\t3.02E+08\t2.51E+08\t2.70E+08\t1.63E+08\t2.55E+08\t3.40E+08\t3.63E+08\t3.44E+08\t2.78E+08\t3.48E+08\t4.09E+08\t2.09E+08\t4.09E+08\t2.53E+08\t3.72E+08\t4.14E+08\t2.53E+08\t3.86E+08\t2.74E+08\t2.33E+08\t2.74E+08\t3.75E+08\t3.04E+08\t2.33E+08\t3.49E+08\t4.14E+08\t3.21E+08\t3.67E+08\t3.40E+08\t3.74E+08\t2.51E+08\t2.34E+08\t3.03E+08\t3.29E+08\t2.33E+08\t4.43E+08\t3.95E+08\t3.04E+08\t5.69E+08\t4.33E+08\n", 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"6.15E-07\t3.60E+08\t3.35E+08\t2.68E+08\t2.92E+08\t1.44E+08\t9.64E+07\t2.71E+08\t2.32E+08\t2.16E+08\t1.96E+08\t5.17E+07\t1.72E+08\t4.80E+07\t3.39E+08\t2.23E+08\t2.40E+08\t3.16E+08\t2.64E+08\t1.48E+08\t2.56E+08\t2.88E+08\t2.44E+08\t2.80E+08\t4.44E+08\t3.04E+08\t1.44E+08\t1.80E+08\t5.35E+08\t2.76E+08\t4.20E+08\t1.68E+08\t1.68E+08\t1.68E+08\t4.20E+08\t3.36E+08\t2.40E+08\t2.64E+08\t1.80E+08\t1.96E+08\t1.44E+08\t2.64E+08\t2.56E+08\t1.68E+08\t3.12E+08\t2.44E+08\t3.76E+08\t2.64E+08\t3.92E+08\t2.88E+08\n", 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\"), HTML(value…" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.xlabel(\"Time (s)\")\n", "plt.plot(time, num_conc, \"g\", label=\"num conc\")\n", "plt.xticks(np.linspace(0, time[-1], 5))\n", "plt.xlim([time[0],time[-1]])\n", "plt.ylabel(r\"Number concentration ($\\#$ m$^{-3}$)\", color='g')\n", "barrel = np.loadtxt('ref_aero_time.txt')\n", "plt.plot(barrel[:,0],barrel[:,1],'k')\n", "show_plot()" ] }, { "cell_type": "code", "execution_count": 20, "id": "faa1de28", "metadata": {}, "outputs": [ { "data": { "image/svg+xml": [ "\n", "\n", "\n", " \n", " \n", " \n", " \n", " 2025-01-28T15:02:35.362787\n", " image/svg+xml\n", " \n", " \n", " Matplotlib v3.8.0, https://matplotlib.org/\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", " \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", " \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", " \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", " \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", " \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", " \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", " \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", " \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", " \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" ], "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "77a425a42eb147d09bf9f2ce1e10495a", "version_major": 2, "version_minor": 0 }, "text/plain": [ "HBox(children=(HTML(value=\"./tmpa4ve8hoy.pdf
\"), HTML(value…" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_times = [0,1,10,30]\n", "barrel = np.loadtxt('ref_aero_size_num.txt')\n", "diams_barrel = barrel[:,0]\n", "\n", "for plot_time in plot_times:\n", " p = plt.plot(diam_grid.centers, np.array(dists[plot_time]) * np.log(10),\n", " label=f'$t = {dist_times[plot_time] / 60:0.0f}$ m', lw=1)\n", " plt.plot(diams_barrel, barrel[:,plot_time+1],'--',c=p[0].get_color(),lw=1)\n", "plt.xscale(\"log\")\n", "plt.xlabel(\"Dry diameter (m)\")\n", "plt.ylabel(r\"Number concentration $n(D)$ ($\\#$ m$^{-3}$)\")\n", "plt.ylim(bottom=0)\n", "plt.legend()\n", "plt.xlim([diam_grid.edges[0],diam_grid.edges[-1]])\n", "show_plot()" ] }, { "cell_type": "code", "execution_count": null, "id": "44475ce8", "metadata": {}, "outputs": [], "source": [] } ], "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": "3.10.13" } }, "nbformat": 4, "nbformat_minor": 5 }