Compatibility of DAMA/LIBRA dark matter detection with other searches
Christopher Savage, Graciela Gelmini, Paolo Gondolo, Katherine Freese

TL;DR
This paper evaluates DAMA/LIBRA dark matter signals against other experimental results, finding some low-mass WIMP parameter regions compatible with all data, especially when considering channeling and certain interaction types.
Contribution
It provides a comprehensive statistical analysis of DAMA/LIBRA data in light of null results, identifying viable low-mass WIMP parameter regions for both spin-independent and spin-dependent interactions.
Findings
Low-mass (~8 GeV) WIMPs can fit DAMA data and other constraints with channeling.
Spin-independent WIMP regions are largely excluded at 3σ, but some low-mass solutions remain.
Certain spin-dependent couplings, especially proton-only, are compatible with all experiments when including indirect detection constraints.
Abstract
The DAMA/NaI and DAMA/LIBRA annual modulation data, which may be interpreted as a signal for the existence of weakly interacting dark matter (WIMPs) in our galactic halo, are examined in light of null results from other experiments. We use the energy spectrum of the combined DAMA modulation data given in 36 bins, and include the effect of channeling. Several statistical tools are implemented in our study: likelihood ratio with a global fit and with raster scans in the WIMP mass and goodness-of-fit (g.o.f.). These approaches allow us to differentiate between the preferred (global best fit) and allowed (g.o.f.) parameter regions. It is hard to find WIMP masses and couplings consistent with all existing data sets. For spin-independent (SI) interactions, the best fit DAMA regions are ruled out to the 3 C.L., even with channeling taken into account. However, for WIMP masses of ~8 GeV…
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.
