Journal
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
Volume -, Issue 10, Pages -Publisher
IOP Publishing Ltd
DOI: 10.1088/1475-7516/2022/10/004
Keywords
dark matter detectors; dark matter experiments; Bayesian reasoning; dark matter simulations
Funding
- Spanish Agencia Estatal de Investigacion (AEI, Ministerio de Ciencia, Innovacion y Universidades) [MDM-2017-0765]
- Dutch Research Council (NWO)
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In this work, Bayesian inference is used to identify the parameter space where future detectors can detect WIMP Dark Matter through nuclear recoils, Migdal-induced electronic recoils, or a combination of both. The study determines the regions where each detector is best at constraining the Dark Matter mass and spin independent cross-section and infers the complementary nature of two or more detection configurations in constraining these Dark Matter parameters through a combined analysis.
Dark Matter experiments searching for Weakly interacting massive particles (WIMPs) primarily use nuclear recoils (NRs) in their attempt to detect WIMPs. Migdal-induced electronic recoils (ERs) provide additional sensitivity to light Dark Matter with O(GeV/c(2)) masses. In this work, we use Bayesian inference to find the parameter space where future detectors like XENONnT and SuperCDMS SNOLAB will be able to detect WIMP Dark Matter through NRs, Migdal-induced ERs or a combination thereof. We identify regions where each detector is best at constraining the Dark Matter mass and spin independent cross-section and infer where two or more detection configurations are complementary to constraining these Dark Matter parameters through a combined analysis.
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