Analyzing direct dark matter detection data with unrejected background events by the AMIDAS website

TL;DR

This paper demonstrates that the AMIDAS website can accurately extract properties of halo WIMPs, such as mass and couplings, from direct detection data even with unrejected background events, achieving deviations mostly under 30%.

Contribution

It introduces a method for analyzing dark matter detection data that accounts for unrejected background events without prior assumptions about dark matter distribution.

Findings

WIMP properties reconstructed with ~2% to <30% deviation.

Analysis effective without prior knowledge of local dark matter density.

Method robust against unrejected background events.

Abstract

In this talk I have presented the data analysis results of extracting properties of halo WIMPs: the mass and the (ratios between the) spin-independent and spin-dependent couplings/cross sections on nucleons by the AMIDAS website by taking into account possible unrejected background events in the analyzed data sets. Although non-standard astronomical setup has been used to generate pseudodata sets for our analyses, it has been found that, without prior information/assumption about the local density and velocity distribution of halo Dark Matter, these WIMP properties have been reconstructed with ~ 2% to <~ 30% deviations from the input values.