{ "cells": [ { "cell_type": "markdown", "id": "d28a03d2", "metadata": {}, "source": [ "## Computing Cross Sections for a Grid of Pressures and Temperatures\n", "\n", "Often, a user will want to compute a cross section at multiple pressure and temperatures. In this tutorial, we demonstrate how to do just that, along with plotting all the cross sections on the same graph. We assume the user has read the [Cross Sections for Beginners](https://cthulhu.readthedocs.io/en/latest/content/notebooks/.html) tutorial already. \n" ] }, { "cell_type": "markdown", "id": "989df22c", "metadata": {}, "source": [ "### Pressure Grid\n", "\n", "To compute the cross section for a grid, simply enter an array instead of a single number for either the pressure, temperature, or both. Everything else remains the same. In this section, we'll compute over a grid of pressures, and in the next section we'll compute over a grid of temperatures." ] }, { "cell_type": "code", "execution_count": 1, "id": "ba55d26b", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", " ***** Downloading requested data from ExoMol. You have chosen the following parameters: ***** \n", "\n", "Molecule: CO \n", "Isotopologue: 12C-16O \n", "Line List: Li2015\n", "\n", "Starting by downloading the .broad, .pf, and .states files...\n", "Fetched the broadening coefficients, partition functions, and energy levels.\n", "Now downloading the Li2015 line list...\n", "\n", "Downloading .trans file 1 of 2\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 1.40M/1.40M [00:00<00:00, 1.68MiB/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Converting this .trans file to HDF to save storage space...\n", "This file took 0.3 seconds to reformat to HDF.\n", "\n", "Downloading .trans file 2 of 2\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 63.5k/63.5k [00:00<00:00, 283kiB/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Converting this .trans file to HDF to save storage space...\n", "This file took 0.1 seconds to reformat to HDF.\n", "\n", "Line list ready.\n", "\n", "Beginning cross-section computations...\n", "Loading ExoMol format\n", "Loading partition function\n", "Pre-computing Voigt profiles...\n", "Voigt profiles computed in 5.459220441996877 s\n", "Pre-computation steps complete\n", "Generating cross section for CO at P = 0.01 bar, T = 1000.0 K [1 of 3]\n", "Computing transitions from E2.h5 | 0.0% complete\n", "Completed 6474 transitions in 1.660071459999017 s\n", "Computing transitions from Li2015.h5 | 50.0% complete\n", "Completed 125496 transitions in 0.5521966680025798 s\n", "Calculation complete!\n", "Completed 131970 transitions in 2.213538334995974 s\n", "\n", "Pre-computing Voigt profiles...\n", "Voigt profiles computed in 4.45014415300102 s\n", "Pre-computation steps complete\n", "Generating cross section for CO at P = 0.1 bar, T = 1000.0 K [2 of 3]\n", "Computing transitions from E2.h5 | 0.0% complete\n", "Completed 6474 transitions in 0.033792235000873916 s\n", "Computing transitions from Li2015.h5 | 50.0% complete\n", "Completed 125496 transitions in 0.5599274929991225 s\n", "Calculation complete!\n", "Completed 131970 transitions in 0.5946834560018033 s\n", "\n", "Pre-computing Voigt profiles...\n", "Voigt profiles computed in 4.073088478005957 s\n", "Pre-computation steps complete\n", "Generating cross section for CO at P = 1.0 bar, T = 1000.0 K [3 of 3]\n", "Computing transitions from E2.h5 | 0.0% complete\n", "Completed 6474 transitions in 0.05859716499981005 s\n", "Computing transitions from Li2015.h5 | 50.0% complete\n", "Completed 125496 transitions in 1.0286980919991038 s\n", "Calculation complete!\n", "Completed 131970 transitions in 1.088124058995163 s\n", "\n", "Total runtime: 24.200665153002774 s\n" ] } ], "source": [ "from Cthulhu.core import summon, compute_cross_section\n", "\n", "species = 'CO'\n", "database = 'ExoMol'\n", "\n", "# Download line list\n", "summon(database=database, species = species)\n", "\n", "P = [0.01, 0.1, 1.0] # Pressure in bars\n", "T = [1000.0] # Temperature in Kelvin\n", "input_directory = './input/' # Top level directory containing line lists\n", "\n", "# Calculate the cross section\n", "compute_cross_section(species = species, database = database, temperature = T, \n", " pressure = P, input_dir = input_directory, \n", " )" ] }, { "cell_type": "markdown", "id": "a70fc563", "metadata": {}, "source": [ "Next, we need to parse the cross section files and extract the cross section data. As usual, we first import the relevant functions from `cthulhu.plot`.\n", "\n", "Then, we create an empty array called `cross_sections` that will contain all of our cross sections. We add the first cross section to this empty collection of cross sections. This is done by calling the `cross_section_collection` function with the data of the new cross section (`nu` and `sigma`) along with the `cross sections` parameter. We call this statement a second and third time to add the other temperature-pressure combinations to the collection as well. By passing in the `collection = cross_sections` parameter every time, we ensure that all of our cross sections are added to the same collection, to make the plotting easier in the next part." ] }, { "cell_type": "code", "execution_count": 2, "id": "8f922db7", "metadata": {}, "outputs": [], "source": [ "from Cthulhu.misc import read_cross_section_file, cross_section_collection\n", "\n", "# Read in the 3 cross sections we just computed\n", "nu, sigma = read_cross_section_file(species = species, database = database, \n", " filename = 'CO_T1000K_log_P-2.0_H2-He_sigma.txt')\n", "nu2, sigma2 = read_cross_section_file(species = species, database = database, \n", " filename = 'CO_T1000K_log_P-1.0_H2-He_sigma.txt')\n", "nu3, sigma3 = read_cross_section_file(species = species, database = database, \n", " filename = 'CO_T1000K_log_P0.0_H2-He_sigma.txt')\n", "\n", "# Generate an empty collection object for plotting\n", "cross_sections = []\n", "\n", "# Add first cross section to collection\n", "cross_sections = cross_section_collection(new_x = nu, new_y = sigma, collection = cross_sections)\n", "\n", "# Add second cross section to collection, making sure to specify the previous collection as a parameter\n", "cross_sections = cross_section_collection(new_x = nu2, new_y = sigma2, collection = cross_sections)\n", "\n", "# Add third cross section to collection\n", "cross_sections = cross_section_collection(new_x = nu3, new_y = sigma3, collection = cross_sections)\n" ] }, { "cell_type": "markdown", "id": "54360a9e", "metadata": {}, "source": [ "Let's show all 3 cross sections for different pressures on the same plot" ] }, { "cell_type": "code", "execution_count": 3, "id": "39a9d4aa", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from Cthulhu.plot import plot_cross_section\n", "\n", "plot_cross_section(collection = cross_sections, \n", " labels = ['P = 0.01 bar', 'P = 0.1 bar', 'P = 1 bar'], \n", " filename = 'CO_Cross_Section_at_Diff_Pressures',\n", " y_min = 1.0e-30,\n", " )" ] }, { "cell_type": "markdown", "id": "da2ce953", "metadata": {}, "source": [ "### Temperature Grid\n", "\n", "Now we'll do the same process, but instead of varying the pressure, we'll vary the temperature.\n", "\n", "Since there is only one parameter that changes (`T`), we leave the code below with no intermediary comments, so that the user can see all of Cthulhu in action at once. For clarity, we redefine the parameters and reimport functions." ] }, { "cell_type": "code", "execution_count": 5, "id": "c99343ac", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", " ***** Downloading requested data from ExoMol. You have chosen the following parameters: ***** \n", "\n", "Molecule: CO \n", "Isotopologue: 12C-16O \n", "Line List: Li2015\n", "\n", "Starting by downloading the .broad, .pf, and .states files...\n", "This file is already downloaded. Moving on.\n", "Fetched the broadening coefficients, partition functions, and energy levels.\n", "Now downloading the Li2015 line list...\n", "\n", "Downloading .trans file 1 of 2\n", "This file is already downloaded. Moving on.\n", "\n", "Downloading .trans file 2 of 2\n", "This file is already downloaded. Moving on.\n", "\n", "Line list ready.\n", "\n", "Beginning cross-section computations...\n", "Loading ExoMol format\n", "Loading partition function\n", "Pre-computing Voigt profiles...\n", "Voigt profiles computed in 4.007787078997353 s\n", "Pre-computation steps complete\n", "Generating cross section for CO at P = 1.0 bar, T = 1000.0 K [1 of 3]\n", "Computing transitions from E2.h5 | 0.0% complete\n", "Completed 6474 transitions in 0.05898992100264877 s\n", "Computing transitions from Li2015.h5 | 50.0% complete\n", "Completed 125496 transitions in 1.052203617997293 s\n", "Calculation complete!\n", "Completed 131970 transitions in 1.1123167639962048 s\n", "\n", "Pre-computing Voigt profiles...\n", "Voigt profiles computed in 4.575220471000648 s\n", "Pre-computation steps complete\n", "Generating cross section for CO at P = 1.0 bar, T = 2000.0 K [2 of 3]\n", "Computing transitions from E2.h5 | 0.0% complete\n", "Completed 6474 transitions in 0.05450546000065515 s\n", "Computing transitions from Li2015.h5 | 50.0% complete\n", "Completed 125496 transitions in 1.040411749992927 s\n", "Calculation complete!\n", "Completed 131970 transitions in 1.09579663999466 s\n", "\n", "Pre-computing Voigt profiles...\n", "Voigt profiles computed in 4.652520743999048 s\n", "Pre-computation steps complete\n", "Generating cross section for CO at P = 1.0 bar, T = 3000.0 K [3 of 3]\n", "Computing transitions from E2.h5 | 0.0% complete\n", "Completed 6474 transitions in 0.05505319999792846 s\n", "Computing transitions from Li2015.h5 | 50.0% complete\n", "Completed 125496 transitions in 1.0762401559986756 s\n", "Calculation complete!\n", "Completed 131970 transitions in 1.1322044289991027 s\n", "\n", "Total runtime: 23.23582079899643 s\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from Cthulhu.core import summon, compute_cross_section\n", "\n", "species = 'CO'\n", "database = 'ExoMol'\n", "\n", "# Download the line list\n", "summon(database=database, species = species) # Already done above, so Cthulhu doesn't need to be summoned!\n", "\n", "# Specify pressure and temperature range\n", "P = [1.0] # Pressure in bars\n", "T = [1000.0, 2000.0, 3000.0] # Temperature in Kelvin\n", "input_directory = './input/' # Top level directory containing line lists\n", "\n", "# Calculate cross section\n", "compute_cross_section(species = species, database = database, temperature = T, \n", " pressure = P, input_dir = input_directory, \n", " )\n", "\n", "# Read in the 3 cross sections we just computed\n", "nu, sigma = read_cross_section_file(species = species, database = database, \n", " filename = 'CO_T1000.0K_log_P0.0_H2-He_sigma.txt')\n", "nu2, sigma2 = read_cross_section_file(species = species, database = database,\n", " filename = 'CO_T2000.0K_log_P0.0_H2-He_sigma.txt')\n", "nu3, sigma3 = read_cross_section_file(species = species, database = database,\n", " filename = 'CO_T3000.0K_log_P0.0_H2-He_sigma.txt')\n", "\n", "# Generate an empty collection object for plotting\n", "cross_sections = []\n", "\n", "# Add first cross section to collection\n", "cross_sections = cross_section_collection(new_x = nu, new_y = sigma, collection = cross_sections)\n", "\n", "# Add second cross section to collection, making sure to specify the previous collection as a parameter\n", "cross_sections = cross_section_collection(new_x = nu2, new_y = sigma2, collection = cross_sections)\n", "\n", "# Add third cross section to collection\n", "cross_sections = cross_section_collection(new_x = nu3, new_y = sigma3, collection = cross_sections)\n", "\n", "# Plot all 3 cross sections on the same plot'''\n", "plot_cross_section(collection = cross_sections, \n", " labels = ['P = 0.01 bar', 'P = 0.1 bar', 'P = 1 bar'], \n", " filename = 'CO_Cross_Section_at_Diff_Pressures',\n", " y_min = 1.0e-30,\n", " )\n" ] }, { "cell_type": "code", "execution_count": null, "id": "6f2c82d9", "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": "3.9.19" }, "vscode": { "interpreter": { "hash": "5f7defddde1abfac0269c8c847bc53f3d7179ce483b0f295025c7fc1e5b0d9d7" } } }, "nbformat": 4, "nbformat_minor": 5 }