期刊
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
卷 -, 期 12, 页码 -出版社
IOP PUBLISHING LTD
DOI: 10.1088/1475-7516/2015/12/057
关键词
dark matter theory; dark matter simulations; dark matter experiments
资金
- Murdock Charitable Trust
- Friends of the Institute for Advanced Study in Princeton
- National Science Foundation [PHY-1066293]
- NSF [PHY1316617]
- DoE [DE-AC02-05CH11231]
- Direct For Mathematical & Physical Scien
- Division Of Physics [1316617] Funding Source: National Science Foundation
Identifying the true theory of dark matter depends crucially on accurately characterizing interactions of dark matter (DM) with other species. In the context of DM direct detection, we present a study of the prospects for correctly identifying the low-energy effective DM-nucleus scattering operators connected to UV-complete models of DM-quark interactions. We take a census of plausible UV-complete interaction models with different low-energy leading-order DM-nuclear responses. For each model (corresponding to different spin, momentum, and velocity-dependent responses), we create a large number of realizations of recoil-energy spectra, and use Bayesian methods to investigate the probability that experiments will be able to select the correct scattering model within a broad set of competing scattering hypotheses. We conclude that agnostic analysis of a strong signal (such as Generation-2 would see if cross sections are just below the current limits) seen on xenon and germanium experiments is likely to correctly identify momentum dependence of the dominant response, ruling out models with either heavy or light mediators, and enabling down-selection of allowed models. However, a unique determination of the correct UV completion will critically depend on the availability of measurements from a wider variety of nuclear targets, including iodine or fluorine. We investigate how model-selection prospects depend on the energy window available for the analysis. In addition, we discuss accuracy of the DM particle mass determination under a wide variety of scattering models, and investigate impact of the specific types of particle-physics uncertainties on prospects for model selection.
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