{ "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 $SIROCCO/examples/basic/cv_standard.pf .\n", " sirocco cv_standard \n", "\n", "The model will take about 5 minutes to run on a single core. It will not converge, but will give us a model to use as an example. You should then run ```windsave2table``` on the output\n", "\n", " windsave2table cv_standard\n", "\n", "which will create a series of ascii files containing key variables in the wind cells. We will use these ascii files for our plots. \n", "\n", "## Make A Basic Quick Look Wind Plot\n", "\n", "The simplest way to make a quick look plot of the electron temperature is using the ```plot_wind.py``` routine in ```$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": 1, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'cv_test/cv_standard_log_t_e.png'" ] }, "execution_count": 1, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "%matplotlib inline\n", "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\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## More detailed/customisable plots\n", "\n", "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": 2, "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", "data = io.read(fname)\n", "\n", "print (data.colnames)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ " The ```py_plot_util``` script in py_progs comes with a handy guide to the main columns in the .master.txt file and returns a dictionary containing the description for all variables." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "no description for column x\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" ] } ], "source": [ "import py_plot_util as util\n", "descr = util.get_windsave_descriptions(data)" ] }, { "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": 4, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/matthewsj/.mpi_temp/ipykernel_31972/816639112.py:2: RuntimeWarning: divide by zero encountered in log10\n", " plt.pcolormesh(x,z, np.log10(ne))\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "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. \n", "\n", "To make a simple multi-panel plot of wind properties, you can use some of the routines in ```py_plot_output```. The example below plots all the variables passed in an array and saves the file as ```cv_standard_wind.png```" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/matthewsj/opt/anaconda3/lib/python3.9/site-packages/astropy/table/table.py:3474: FutureWarning: elementwise == comparison failed and returning scalar instead; this will raise an error or perform elementwise comparison in the future.\n", " result = self.as_array() == other\n", "/Users/matthewsj/winds/python/py_progs/py_plot_output.py:301: RuntimeWarning: divide by zero encountered in log10\n", " p.pcolormesh(x,z,np.log10(v))\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "7363719978102.189\n", "12772.992700729927\n", "37305.83941605839\n", "1214.8115635036497\n", "11854.087591240876\n", "145555532.84671533\n", "5.267621167883212e-06\n", "0.41242660718248175\n" ] }, { "data": { "text/plain": [ "0" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import py_plot_output as plot\n", "plot.make_wind_plot(data, \"cv_standard_wind\", var = [\"ne\", \"t_e\", \"t_r\", \"xi\", \"ntot\", \"v_x\", \"h1\", \"c4\"], shape=(4,2) )" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Plotting Ion Populations \n", "\n", "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. \n" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/matthewsj/.mpi_temp/ipykernel_31972/4163463376.py:3: RuntimeWarning: divide by zero encountered in log10\n", " plt.pcolormesh(x,z, np.log10(c3_frac))\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "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()" ] } ], "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": 2 }