Integrating Out Astrophysical Uncertainties
Patrick J. Fox (Fermilab, IAS), Jia Liu (CCPP NYU), Neal Weiner (CCPP, NYU, IAS)

TL;DR
This paper develops a method to compare dark matter detection experiments by removing astrophysical uncertainties, focusing on integral quantities in velocity space, and applies it to analyze signals from CoGeNT, DAMA, CRESST, XENON10, and CDMS-Si.
Contribution
It introduces a model-independent approach to relate experimental signals by mapping observed data into velocity space integrals, reducing astrophysical uncertainties.
Findings
Expected CoGeNT rate in XENON10 is higher than observed unless scintillation is low.
S2-only analyses constrain charge yield Q_y<2.4 electrons/keV.
XENON10 and CDMS-Si would detect signals if CRESST excess is due to WIMPs.
Abstract
Underground searches for dark matter involve a complicated interplay of particle physics, nuclear physics, atomic physics and astrophysics. We attempt to remove the uncertainties associated with astrophysics by developing the means to map the observed signal in one experiment directly into a predicted rate at another. We argue that it is possible to make experimental comparisons that are completely free of astrophysical uncertainties by focusing on {\em integral} quantities, such as and . Direct comparisons are possible when the space probed by different experiments overlap. As examples, we consider the possible dark matter signals at CoGeNT, DAMA and CRESST-Oxygen. We find that expected rate from CoGeNT in the XENON10 experiment is higher than observed, unless scintillation light output is low. Moreover,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
