Improved EDELWEISS-III sensitivity for low-mass WIMPs using a profile likelihood approach
EDELWEISS Collaboration: L. Hehn, E. Armengaud, Q. Arnaud, C. Augier,, A. Beno\^it, L. Berg\'e, J. Billard, J. Bl\"umer, T. de Boissi\`ere, A., Broniatowski, P. Camus, A. Cazes, M. Chapellier, F. Charlieux, M. De J\'esus,, L. Dumoulin, K. Eitel, N. Foerster, J. Gascon

TL;DR
This paper enhances the sensitivity of the EDELWEISS-III experiment to low-mass WIMPs by applying a profile likelihood analysis, leading to improved exclusion limits without detecting a dark matter signal.
Contribution
It introduces a profile likelihood approach to analyze EDELWEISS-III data, improving sensitivity and setting stronger exclusion limits for low-mass WIMPs compared to previous methods.
Findings
No significant WIMP signal detected.
Set new upper limits on WIMP-nucleon cross section, especially at 4 GeV/c^2.
Achieved a sevenfold improvement over previous analysis at 4 GeV/c^2.
Abstract
We report on a dark matter search for a Weakly Interacting Massive Particle (WIMP) in the mass range with the EDELWEISS-III experiment. A 2D profile likelihood analysis is performed on data from eight selected detectors with the lowest energy thresholds leading to a combined fiducial exposure of 496 kg-days. External backgrounds from - and -radiation, recoils from Pb and neutrons as well as detector intrinsic backgrounds were modelled from data outside the region of interest and constrained in the analysis. The basic data selection and most of the background models are the same as those used in a previously published analysis based on Boosted Decision Trees (BDT). For the likelihood approach applied in the analysis presented here, a larger signal efficiency and a subtraction of the expected background lead to a higher…
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