JoXSZ: Joint X-ray and SZ fitting for galaxy clusters in Python

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Ada Coda
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JoXSZ: Joint X-ray and SZ fitting for galaxy clusters in Python

Post by Ada Coda » Tue Jun 30, 2020 10:32 pm

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.

Credit: Castagna, Fabio; Andreon, Stefano

Site: https://github.com/fcastagna/JoXSZ
https://ui.adsabs.harvard.edu/abs/2020arXiv200512315C

Bibcode: 2020ascl.soft06013C

ID: ascl:2006.013

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