{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Plotting Wind Properties\n", "As described under [Models](../output/model.rst), SIROCCO saves wind properties in binary wind_save files. This notebook explains how to read and plot wind variables for the ```cv_standard``` file found in the examples. Before running the python commands, you need to run the model from the command line. I suggest running the following commands, after you have compiled python:\n", "\n", " mkdir cv_test\n", " cd cv_test\n", " cp $SIROCCO/examples/basic/cv_standard.pf .\n", " sirocco cv_standard \n", "\n", "The model will take about 5 minutes to run on a single core. It will not converge, but will give us a model to use as an example. You should then run ```windsave2table``` on the output\n", "\n", " windsave2table cv_standard\n", "\n", "which will create a series of ascii files containing key variables in the wind cells. We will use these ascii files for our plots. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Making wind plots using PySi\n", "\n", "We will start by demonstrating how to use PySi to plot data from the wind files. In particular we will plot some key variables in the wind, followed by some ion fractions. \n", "\n", "PySi works by setting up a ```Wind``` class which reads in and stores all the useful data and attributes from the model. This class can be used to inspect data or to plot it directly. " ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Version: UNKNOWN\n" ] } ], "source": [ "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import pysi \n", "from pysi.wind import Wind\n", "root = \"cv_standard\"\n", "directory = \"cv_test/\"\n", "wind = Wind(root = root, directory = directory)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The data can be plotted easily using the ```plot_parameter``` method. This method returns Figure and Axes objects so the plot can be modified easily. " ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/matthewsj/.virtualenvs/sirocco/lib/python3.10/site-packages/pysi/wind/model/plot.py:484: RuntimeWarning: divide by zero encountered in log10\n", " parameter_points = numpy.log10(parameter_points)\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = wind.plot_parameter(\"t_e\")" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot = wind.plot_parameter(\"t_e\", \"linlin\")\n", "plt.xlim(0,2e11)\n", "_ = plt.ylim(0,2e11)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The ```get_windsave_descriptions``` method in the wind class comes provides a handy guide to the main columns in the .master.txt file, which can be plotted using the above methods, or accessed directly as, e.g., ```wind[\"ne\"]```" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "x -- left-hand lower cell corner x-coordinate, cm\n", "z -- left-hand lower cell corner z-coordinate, cm\n", "xcen -- cell centre x-coordinate, cm\n", "zcen -- cell centre z-coordinate, cm\n", "i -- cell index (column)\n", "j -- cell index (row)\n", "inwind -- is the cell in wind (0), partially in wind (1) or out of wind (<0)\n", "converge -- how many convergence criteria is the cell failing?\n", "v_x -- x-velocity, cm/s\n", "v_y -- y-velocity, cm/s\n", "v_z -- z-velocity, cm/s\n", "vol -- volume in cm^3\n", "rho -- density in g/cm^3\n", "ne -- electron density in cm^-3\n", "t_e -- electron temperature in K\n", "t_r -- radiation temperature in K\n", "h1 -- H1 ion fraction\n", "he2 -- He2 ion fraction\n", "c4 -- C4 ion fraction\n", "n5 -- N5 ion fraction\n", "o6 -- O6 ion fraction\n", "dmo_dt_x -- momentum rate, x-direction\n", "dmo_dt_y -- momentum rate, y-direction\n", "dmo_dt_z -- momentum rate, z-direction\n", "ip -- U ionization parameter\n", "xi -- xi ionization parameter\n", "ntot -- total photons passing through cell\n", "nrad -- total wind photons produced in cell\n", "nioniz -- total ionizing photons passing through cell\n", "None\n" ] } ], "source": [ "print (wind.get_windsave_descriptions())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can also use the multiplot command to generate multiple plots for specified wind parameters. \n", "This method creates subplots to visualize the specified wind parameters using either 1D or 2D \n", "representation based on the coordinate system." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = wind.multiplot( (\"ne\", \"t_e\", \"v_z\", \"ntot\") , \"loglog\", nrows = 2, ncols = 2)\n", "fig.tight_layout(pad=0.05)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can also check all the possible things to plot, some of which are intuitive and some of which aren't! " ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "dict_keys(['x', 'z', 'xcen', 'zcen', 'i', 'j', 'inwind', 'converge', 'v_x', 'v_y', 'v_z', 'vol', 'rho', 'ne', 't_e', 't_r', 'h1', 'he2', 'c4', 'n5', 'o6', 'dmo_dt_x', 'dmo_dt_y', 'dmo_dt_z', 'ip', 'xi', 'ntot', 'nrad', 'nioniz', 'w', 'ave_freq', 'J', 'J_direct', 'J_scatt', 'lum_tot', 'heat_tot', 'heat_comp', 'heat_line', 'heat_ff', 'heat_phot', 'heat_auge', 'cool_tot', 'cool_comp', 'lum_lines', 'cool_dr', 'lum_ff', 'lum_rr', 'cool_rr', 'cool_adia', 'heat_shoc', 'ht_ln_mac', 'ht_ph_mac', 'dv_x_dx', 'dv_y_dx', 'dv_z_dx', 'dv_x_dy', 'dv_y_dy', 'dv_z_dy', 'dv_x_dz', 'dv_y_dz', 'dv_z_dz', 'div_v', 'dvds_max', 'gamma', 'dfudge', 't_e_old', 'dt_e', 'dt_e_old', 't_r_old', 'heat_tot_', 'gain', 'macro_bf_', 'H_i01_frac', 'H_i02_frac', 'He_i01_frac', 'He_i02_frac', 'He_i03_frac', 'C_i01_frac', 'C_i02_frac', 'C_i03_frac', 'C_i04_frac', 'C_i05_frac', 'C_i06_frac', 'C_i07_frac', 'N_i01_frac', 'N_i02_frac', 'N_i03_frac', 'N_i04_frac', 'N_i05_frac', 'N_i06_frac', 'N_i07_frac', 'N_i08_frac', 'O_i01_frac', 'O_i02_frac', 'O_i03_frac', 'O_i04_frac', 'O_i05_frac', 'O_i06_frac', 'O_i07_frac', 'O_i08_frac', 'O_i09_frac', 'Na_i01_frac', 'Na_i02_frac', 'Na_i03_frac', 'Na_i04_frac', 'Na_i05_frac', 'Na_i06_frac', 'Na_i07_frac', 'Na_i08_frac', 'Na_i09_frac', 'Na_i10_frac', 'Na_i11_frac', 'Na_i12_frac', 'Si_i01_frac', 'Si_i02_frac', 'Si_i03_frac', 'Si_i04_frac', 'Si_i05_frac', 'Si_i06_frac', 'Si_i07_frac', 'Si_i08_frac', 'Si_i09_frac', 'Si_i10_frac', 'Si_i11_frac', 'Si_i12_frac', 'Si_i13_frac', 'Si_i14_frac', 'Si_i15_frac', 'Ca_i01_frac', 'Ca_i02_frac', 'Ca_i03_frac', 'Ca_i04_frac', 'Ca_i05_frac', 'Ca_i06_frac', 'Ca_i07_frac', 'Ca_i08_frac', 'Ca_i09_frac', 'Ca_i10_frac', 'Ca_i11_frac', 'Ca_i12_frac', 'Ca_i13_frac', 'Ca_i14_frac', 'Ca_i15_frac', 'Ca_i16_frac', 'Ca_i17_frac', 'Ca_i18_frac', 'Ca_i19_frac', 'Ca_i20_frac', 'Ca_i21_frac', 'Fe_i01_frac', 'Fe_i02_frac', 'Fe_i03_frac', 'Fe_i04_frac', 'Fe_i05_frac', 'Fe_i06_frac', 'Fe_i07_frac', 'Fe_i08_frac', 'Fe_i09_frac', 'Fe_i10_frac', 'Fe_i11_frac', 'Fe_i12_frac', 'Fe_i13_frac', 'Fe_i14_frac', 'Fe_i15_frac', 'Fe_i16_frac', 'Fe_i17_frac', 'Fe_i18_frac', 'Fe_i19_frac', 'Fe_i20_frac', 'Fe_i21_frac', 'Fe_i22_frac', 'Fe_i23_frac', 'Fe_i24_frac', 'Fe_i25_frac', 'Fe_i26_frac', 'Fe_i27_frac', 'spec_freq', 'spec_flux', 'model_freq', 'model_flux', 'v_l', 'v_rot', 'v_r'])\n" ] } ], "source": [ "print (wind.things_read_in)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Plotting ions using PySi \n", "\n", "PySi also allows one to plot ion fractions or densities (fractions by default), which are accessed through strings like ```Fe_i01_frac```, using astronomical notation for the ion stage. An example multiplot of the first six ionic stages of Carbon would be as follows. " ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ions_to_plot = [\"C_i{:02d}_frac\".format(i+1) for i in range(6)] \n", "fig, ax = wind.multiplot(ions_to_plot, \"loglog\", nrows = 3, ncols = 2, figsize=(8,10))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "All the ions in the simulation can be viewed using the ```ions_read_in``` list. " ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['H_i01_frac', 'H_i02_frac', 'He_i01_frac', 'He_i02_frac', 'He_i03_frac', 'C_i01_frac', 'C_i02_frac', 'C_i03_frac', 'C_i04_frac', 'C_i05_frac', 'C_i06_frac', 'C_i07_frac', 'N_i01_frac', 'N_i02_frac', 'N_i03_frac', 'N_i04_frac', 'N_i05_frac', 'N_i06_frac', 'N_i07_frac', 'N_i08_frac', 'O_i01_frac', 'O_i02_frac', 'O_i03_frac', 'O_i04_frac', 'O_i05_frac', 'O_i06_frac', 'O_i07_frac', 'O_i08_frac', 'O_i09_frac', 'Na_i01_frac', 'Na_i02_frac', 'Na_i03_frac', 'Na_i04_frac', 'Na_i05_frac', 'Na_i06_frac', 'Na_i07_frac', 'Na_i08_frac', 'Na_i09_frac', 'Na_i10_frac', 'Na_i11_frac', 'Na_i12_frac', 'Si_i01_frac', 'Si_i02_frac', 'Si_i03_frac', 'Si_i04_frac', 'Si_i05_frac', 'Si_i06_frac', 'Si_i07_frac', 'Si_i08_frac', 'Si_i09_frac', 'Si_i10_frac', 'Si_i11_frac', 'Si_i12_frac', 'Si_i13_frac', 'Si_i14_frac', 'Si_i15_frac', 'Ca_i01_frac', 'Ca_i02_frac', 'Ca_i03_frac', 'Ca_i04_frac', 'Ca_i05_frac', 'Ca_i06_frac', 'Ca_i07_frac', 'Ca_i08_frac', 'Ca_i09_frac', 'Ca_i10_frac', 'Ca_i11_frac', 'Ca_i12_frac', 'Ca_i13_frac', 'Ca_i14_frac', 'Ca_i15_frac', 'Ca_i16_frac', 'Ca_i17_frac', 'Ca_i18_frac', 'Ca_i19_frac', 'Ca_i20_frac', 'Ca_i21_frac', 'Fe_i01_frac', 'Fe_i02_frac', 'Fe_i03_frac', 'Fe_i04_frac', 'Fe_i05_frac', 'Fe_i06_frac', 'Fe_i07_frac', 'Fe_i08_frac', 'Fe_i09_frac', 'Fe_i10_frac', 'Fe_i11_frac', 'Fe_i12_frac', 'Fe_i13_frac', 'Fe_i14_frac', 'Fe_i15_frac', 'Fe_i16_frac', 'Fe_i17_frac', 'Fe_i18_frac', 'Fe_i19_frac', 'Fe_i20_frac', 'Fe_i21_frac', 'Fe_i22_frac', 'Fe_i23_frac', 'Fe_i24_frac', 'Fe_i25_frac', 'Fe_i26_frac', 'Fe_i27_frac']\n" ] } ], "source": [ "print (wind.ions_read_in)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## More direct data access\n", "\n", "We recommend using PySi where possible. You may, however, wish to get more direct access to the data, which can be done easily by reading in the ```cv_standard.master.txt``` file, for example using ```astropy```. In the next code block, we read in the data file and print out the columns." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['x', 'z', 'xcen', 'zcen', 'i', 'j', 'inwind', 'converge', 'v_x', 'v_y', 'v_z', 'vol', 'rho', 'ne', 't_e', 't_r', 'h1', 'he2', 'c4', 'n5', 'o6', 'dmo_dt_x', 'dmo_dt_y', 'dmo_dt_z', 'ip', 'xi', 'ntot', 'nrad', 'nioniz']\n" ] } ], "source": [ "import matplotlib.pyplot as plt\n", "import astropy.io.ascii as io\n", "\n", "fname = f\"{directory}{root}.master.txt\"\n", "data = io.read(fname)\n", "\n", "print (data.colnames)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "```py_plot_util``` also contains some routines for reshaping and masking arrays and so on. One of the most useful for plotting is the ```wind_to_masked``` function which turns the raw 1D flattened data into a masked 2D array with the right shape which can be easily used with ```pcolormesh``` and so on. Here's an example plot of the electron density in the model." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "ename": "NameError", "evalue": "name 'util' is not defined", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", "Cell \u001b[0;32mIn[10], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m x, z, ne, inwind \u001b[38;5;241m=\u001b[39m \u001b[43mutil\u001b[49m\u001b[38;5;241m.\u001b[39mwind_to_masked(data, value_string\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mne\u001b[39m\u001b[38;5;124m\"\u001b[39m, return_inwind\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[1;32m 2\u001b[0m plt\u001b[38;5;241m.\u001b[39mpcolormesh(x,z, np\u001b[38;5;241m.\u001b[39mlog10(ne))\n\u001b[1;32m 3\u001b[0m plt\u001b[38;5;241m.\u001b[39mloglog()\n", "\u001b[0;31mNameError\u001b[0m: name 'util' is not defined" ] } ], "source": [ "x, z, ne, inwind = util.wind_to_masked(data, value_string=\"ne\", return_inwind=True)\n", "plt.pcolormesh(x,z, np.log10(ne))\n", "plt.loglog()\n", "plt.xlim(1e9,1e12)\n", "plt.ylim(1e8,1e12)\n", "cbar = plt.colorbar()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This procedure can be used to plot any of the variables in the masterfile and is a good starting point for delving into the properties of the wind if not using PySi. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Ion populations outputted from ```windsave2table``` are stored in files like ```cv_standard.C.frac.txt```, where the letter before frac denotes the element. Plots of the C III ion fraction can thus be made through commands like the following, where strings like ```i05``` index the ion for each file. " ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "carbon_ion = io.read(\"cv_test/cv_standard.C.frac.txt\")\n", "x, z, c3_frac, inwind = util.wind_to_masked(carbon_ion, value_string=\"i03\", return_inwind=True)\n", "plt.pcolormesh(x,z, np.log10(c3_frac))\n", "plt.loglog()\n", "plt.xlim(1e9,1e12)\n", "plt.ylim(1e8,1e12)\n", "cbar = plt.colorbar()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Make A Basic Quick Look Wind Plot\n", "\n", "The simplest way to make a quick look plot of the electron temperature is using the ```plot_wind.py``` routine in ```$SIROCCO/py_progs```. In this example, I will assume py_progs has been added to ```$PATH``` and to ```$PYTHONPATH```. ```plot_wind.py``` can be run from the command line using\n", "\n", " plot_wind.py cv_standard t_e\n", " \n", "where the second argument is the variable to plot. Alternatively, it can be run from within a python script by doing (where we are now assuming you are running this code from one directory above cv_test):" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import plot_wind\n", "fname = \"cv_test/cv_standard.master.txt\"\n", "plot_wind.doit(fname, var=\"t_e\")" ] } ], "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": "3.10.9" } }, "nbformat": 4, "nbformat_minor": 4 }