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

A Snakemake workflow for Chandra data reduction

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.

Chandra X-ray Observatory ray-trace simulator

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

Like reproject_image but resamples counts instead

Various adaptive binning routines for use in CIAO

Position-Dependent Richardson-Lucy deconvolution

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.

Package to coordinate Chandra x-ray data reduction

This is my personal website to showcase my professional skills. It is conceptualized, designed and built completely by me.

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

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

Compute statistics for events in mapped regions

Make Color Color diagrams for X-ray data analysis

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

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

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

Chandra ACIS analysis tools and documents