Disentangling cosmic-ray and dark-matter induced gamma-rays in galaxy clusters?
D. Maurin, C. Combet, E. Nezri, E. Pointecouteau

TL;DR
This paper explores how the analysis of gamma-ray flux distributions and stacking signals from galaxy clusters can distinguish between dark matter decay, annihilation, and cosmic-ray origins, aiding indirect dark matter detection.
Contribution
It introduces a method using the logN-logF slope and stacking analysis to differentiate gamma-ray signals from dark matter decay, annihilation, and cosmic rays in galaxy clusters.
Findings
LogN-logF slope effectively distinguishes decay from cosmic-ray signals.
Stacked signal and flux distribution depend on the dark matter boost factor.
Angular dependence of annihilation signals varies with substructure contributions.
Abstract
Galaxy clusters are among the best targets for indirect dark matter detection in gamma-rays, despite the large astrophysical background expected from these objects. Detection is now within reach of current observatories (Fermi-LAT or Cerenkov telescopes); however, assessing the origin of this signal might be difficult. We investigate whether the behaviour of the number of objects per `flux' bin (logN-logF) and that of the stacked signal could be used as a signature of the dominant process at stake.We use the CLUMPY code to integrate the signal from decaying or annihilating dark matter and cosmic rays along the line of sight. We assume the standard NFW profile for the dark matter density and rely on a parametrised emissivity for the cosmic-ray component. In this context, the consequences of stacking are explored using the MCXC meta-catalogue of galaxy clusters. We find the value of the…
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