An open-source suite of tools to simplify Chandra X-ray Observatory lightcurve analysis.

Democratising Archival X-ray Astronomy (DAXA) is an easy-to-use Python module for downloading multi-mission X-ray telescope data and processing it into usable archives. Users can acquire entire archives, or filter observations based on ID/positions/time. Supports XMM; partial support eROSITA, Chandra, NuSTAR, Swift, Suzaku, ASCA, ROSAT, INTEGRAL

Final repository for the project "Unsupervised Machine Learning for the Classification of Astrophysical X-ray Sources". V. S. Pérez-Díaz, J. R. Martínez-Galarza, A. Caicedo, R. D'Abrusco.

Build webapps automatically to view and analyze Chandra Lightcurves. All you need are FITS files and a computer.

Various adaptive binning routines for use in CIAO

Chandra X-ray Observatory ray-trace simulator

Development and experimentation repository for the project "Unsupervised Machine Learning for the Classification of Astrophysical X-ray Sources". V. S. Pérez-Díaz, J. R. Martínez-Galarza, A. Caicedo, R. D'Abrusco.

Chandra ACIS analysis tools and documents

Tools to analyze X-ray central emission excess (CEX)

Like reproject_image but resamples counts instead

My galaxy cluster sample analysis code for temperature, entropy, and metallicity radial profiles from PhD thesis in 2012

This is a repository of `bash_kernel` Jupyter notebooks used to demo `ds9` at AAS233.

Code to run tests for marx. Results are included in the normal marx docs

Tugas

Position-Dependent Richardson-Lucy deconvolution

Compute statistics for events in mapped regions

A Snakemake workflow for Chandra data reduction

Make Color Color diagrams for X-ray data analysis

Apply a ranking to roi output files to decide which source gets overlapping area.