JoXSZ: Joint X-ray and SZ fitting for galaxy clusters in Python
Abstract
JoXSZ jointly fits the thermodynamic profiles of galaxy clusters from both SZ and X-ray data using a Markov chain Monte Carlo fitting algorithm. It is an enhanced version of preprofit (ascl:1910.002), which fits only SZ data. JoXSZ parameterizes the pressure and electron density profile of a galaxy cluster with a given center and derives the temperature profile as the ratio of these quantities through the ideal gas law. The X-ray and SZ-based temperatures can be similar or different, which allows study of the cluster elongation along line of sight, gas clumping, or calibration uncertainties.
- Publication:
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Astrophysics Source Code Library
- Pub Date:
- June 2020
- Bibcode:
- 2020ascl.soft06013C
- Keywords:
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- Software