Python code for manipulating high resolution X-ray spectra
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README.md

pyxsis

Python X-ray Spectral Interpretation System

Toy python code for manipulating high resolution X-ray spectra

Acknowledgements: This python library owes it's inspiration to the Interactive Spectral Interpretation System written by J. Houck and J. Davis (creator of S-lang), as well as long-time users and contributors M. Nowak, J. Wilms, and the group at Remeis Observatory. Thank you also to the entire Chandra HETG group at MIT for personal help throughout the years with interpreting high resolution X-ray spectra.

Install instructions

First download my version of clarsach from Github and install it:

git clone https://github.com/eblur/clarsach.git
cd clarsach
python setup.py install
cd ..

Next, download the pyxsis repository from Github and install it:

git clone https://github.com/eblur/pyxsis.git
cd pyxsis
python setup.py install

Dependencies

  • Numpy Version 1.1 or later
  • Astropy Version 2.0 or later
  • Clarsach Version 0.0 or later

Quick start

import pyxsis
my_spectrum = pyxsis.Spectrum('my_Chandra_HETG_file.pha', telescope='HETG')

import matplotlib.pyplot as plt
ax = plt.subplot(111)
pyxsis.plot_counts(ax, my_spectrum, xunit='kev')

Installing a development version of pyXsis

These instructions teach you how to create an Anaconda environment for pyXsis development.

conda create -n pyxsis-dev python=3
source activate pyxsis-dev
conda install numpy scipy matplotlib astropy

Go to the folder where you would like to keep your libraries. Then install Clarsach.

git clone git@github.com:eblur/clarsach.git
cd clarsach
python setup.py install
cd ..

Now clone and install pyXsis.

git clone git@github.com:eblur/pyxsis.git
cd pyxsis
python setup.py develop

If you use Jupyter notebooks, you can install the conda environment as a separate kernel, using the ipykernel package.

conda install ipykernel
python -m ipykernel install --user --name pyxsis-dev --display-name "pyxsis-dev"

When you are done playing with pyXsis, you can exit out the conda environment with:

source deactivate