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Python package to reconstruct masses of galaxy clusters using an MCMC posterior sampling technique with a Poisson likelihood

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KaeferFlorian/mrec

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mrec

Introduction

Python package to reconstruct masses of galaxy clusters by making use of the self-similar behavior of cluster outskirts (e.g., Zhang et al., 2007; Ghirardini et al., 2018a; Käfer et al., 2019), that is the universality of the shape of the X-ray emission.

Illustrative flow chart to reconstruct the galaxy cluster mass using an MCMC posterior sampling technique with a Poisson likelihood to compare the measured aperture photon counts to the β-model predictions:

Flow chart

Requirements

Requires:

  • Numpy
  • Scipy
  • Astropy
  • emcee
  • PyXspec (optional)

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Python package to reconstruct masses of galaxy clusters using an MCMC posterior sampling technique with a Poisson likelihood

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