WIMP physics with ensembles of direct-detection experiments

Peter, Annika H.G. and Glusevic, Vera and Green, Anne M. and Kavanagh, Bradley J. and Lee, Samuel L. (2014) WIMP physics with ensembles of direct-detection experiments. Physics of the Dark Universe, 5-6 . pp. 45-74. ISSN 2212-6864

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The search for weakly-interacting massive particle (WIMP) dark matter is multi-pronged. Ulti- mately, the WIMP-dark-matter picture will only be confirmed if different classes of experiments see consistent signals and infer the same WIMP properties. In this work, we review the ideas, meth- ods, and status of direct-detection searches. We focus in particular on extracting WIMP physics (WIMP interactions and phase-space distribution) from direct-detection data in the early discov- ery days when multiple experiments see of order dozens to hundreds of events. To demonstrate the essential complementarity of different direct-detection experiments in this context, we create mock data intended to represent the data from the near-future Generation 2 experiments. We consider both conventional supersymmetry-inspired benchmark points (with spin-independent and -dependent elastic cross sections just below current limits), as well as benchmark points for other classes of models (inelastic and effective-operator paradigms). We also investigate the effect on parameter estimation of loosening or dropping the assumptions about the local WIMP phase-space distribution. We arrive at two main conclusions. Firstly, teasing out WIMP physics with experi- ments depends critically on having a wide set of detector target materials, spanning a large range of target nuclear masses and spin-dependent sensitivity. It is also highly desirable to obtain data from low-threshold experiments. Secondly, a general reconstruction of the local WIMP velocity distribu- tion, which will only be achieved if there are multiple experiments using different target materials, is critical to obtaining a robust and unbiased estimate of the WIMP mass.

Item Type: Article
Keywords: Dark matter; Direct detection; Statistical methods
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Physics and Astronomy
Identification Number: 10.1016/j.dark.2014.10.006
Depositing User: Green, Anne
Date Deposited: 30 Jun 2016 08:49
Last Modified: 14 Oct 2017 08:57
URI: http://eprints.nottingham.ac.uk/id/eprint/34500

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