Halo-independent tests of dark matter annual modulation signals

Abstract

I derive new halo-independent lower bounds on the product of the dark matter-nucleon scattering cross section and the local dark matter density that are valid for annual modulations of dark matter direct detection signals. They are obtained by making use of halo-independent bounds based on an expansion of the rate on the Earth's velocity that were derived in previous works. In combination with astrophysical measurements of the local energy density, an observed annual modulation implies a lower bound on the cross section that is independent of the velocity distribution and that must be fulfilled by any particle physics model. In order to illustrate the power of the bounds we apply them to DAMA/LIBRA data and obtain quite strong results when compared to the standard halo model predictions. We also extend the bounds to the case of multi-target detectors.

23 pages, 5 figures, 1 table. Extended discussion on the phase, one figure added, minor changes, results unchanged. Matches published version in JCAP

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• The DAMA/LIBRA apparatus
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• Halo-independent tests of dark matter direct detection signals: local DM density, LHC, and thermal freeze-out
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• What is the probability that direct detection experiments have observed Dark Matter?
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Cited by in corpus (9)

• First results on dark matter annual modulation from ANAIS-112 experiment
• Annual modulation results from three-year exposure of ANAIS-112
• Performance of ANAIS-112 experiment after the first year of data taking
• On the direct detection of multi-component dark matter: sensitivity studies and parameter estimation
• Model-independent comparison of annual modulation and total rate with direct detection experiments
• The Metal-Poor Stellar Halo in RAVE-TGAS and its Implications for the Velocity Distribution of Dark Matter
• Time-dependent rate of multicomponent dark matter: Reproducing the DAMA/LIBRA phase-2 results
• Pinning down inelastic dark matter in the Sun and in direct detection
• The effect of hydrodynamical simulation inspired dark matter velocity profile on directional detection of dark matter