WIMP astronomy and particle physics with liquid-noble and cryogenic direct-detection experiments
Annika H. G. Peter

TL;DR
This paper explores how to accurately infer WIMP properties and their velocity distribution from direct-detection experiments, emphasizing the importance of flexible models and extended energy ranges for improved parameter constraints.
Contribution
It demonstrates that using empirical models for the WIMP speed distribution enhances inference accuracy and discusses Bayesian methods for model selection, impacting the interpretation of experimental data.
Findings
Empirical speed models improve constraints on WIMP parameters.
Extending energy range to ~1 MeV yields better parameter uncertainties.
Model assumptions significantly influence WIMP mass and cross-section estimates.
Abstract
Once weakly-interacting massive particles (WIMPs) are unambiguously detected in direct-detection experiments, the challenge will be to determine what one may infer from the data. Here, I examine the prospects for reconstructing the local speed distribution of WIMPs in addition to WIMP particle-physics properties (mass, cross sections) from next-generation cryogenic and liquid-noble direct-detection experiments. I find that the common method of fixing the form of the velocity distribution when estimating constraints on WIMP mass and cross sections means losing out on the information on the speed distribution contained in the data and may lead to biases in the inferred values of the particle-physics parameters. I show that using a more general, empirical form of the speed distribution can lead to good constraints on the speed distribution. Moreover, one can use Bayesian model-selection…
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