Chasing a consistent picture for dark matter direct searches
Chiara Arina

TL;DR
This study uses Bayesian statistics to evaluate the consistency of dark matter direct detection experiments, finding that most models are inconsistent except for inelastic scattering, which shows some agreement.
Contribution
It provides a rigorous Bayesian analysis of dark matter models against experimental data, quantifying inconsistencies and comparing model plausibility.
Findings
XENON100 challenges DAMA, CoGeNT, CRESST results
Inelastic scattering shows less inconsistency, at about 1 sigma
Elastic scattering remains the most plausible model given current data
Abstract
In this paper we assess the present status of dark matter direct searches by means of Bayesian statistics. We consider three particle physics models for spin-independent dark matter interaction with nuclei: elastic, inelastic and isospin violating scattering. We shortly present the state of the art for the three models, marginalising over experimental systematics and astrophysical uncertainties. Whatever the scenario is, XENON100 appears to challenge the detection region of DAMA, CoGeNT and CRESST. The first aim of this study is to rigorously quantify the significance of the inconsistency between XENON100 data and the combined set of detection (DAMA, CoGeNT and CRESST together), performing two statistical tests based on the Bayesian evidence. We show that XENON100 and the combined set are inconsistent at least at 2 sigma level in all scenarios but inelastic scattering, for which the…
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