Python repository to reproduce figures in Badman+ "Prediction and Verification of Parker Solar Probe Solar Wind Sources at 13.3 $π
_\odot$ " - submitted to JGR Space Physics 2023/1/31
This repository contains :
CSV/- a directory containing archived CSV files from the PSP footpoint prediction campaigns which are the subject of this work- submodules
kent_distribution- forked from https://github.com/edfraenkel/kent_distribution and updated to work in python 3.0. This module can fit a Kent distribution (https://en.wikipedia.org/wiki/Kent_distribution) to an input set of points on the unit sphere.solarsynoptic- cloned from https://github.com/dstansby/solarsynoptic. This module downloads EUV full disk images of the Sun, reprojects them into the Carrington frame (longitude vs latitude bins) and can combine multiple days of images into a full-sun map.- IMPORTANT : In order to correctly pull these submodules into your local cloned copy, please navigate to this directory in your terminal and run:
$> git submodule update --init
.gitignore- this stops git tracking ancillary data and output plots generated by running the main notebook.gitmodules- metadata which allows the submodules to be properly trackedREADME.md- this readmeSourcesPaperFigures.ipynb- a jupyter notebook which runs through each figure, downloading the data it needs along the way. "Fig#.png" files will appear in the directory.helpers.py- useful python utility functions used in the main notebookrequirements.txt- a listing of the packages and versions for which this repository has been tested. You can install them all at once withpip install -r requirements.txt. Windows Users : You may need to install the v2.0.0 pre-release of streamtracer :pip install streamtracer --pre(See https://github.com/dstansby/streamtracer/issues/61)
Thank you to @jlverniero and @kpaulson for testing this out!