Journal article
Improved EDELWEISS-III sensitivity for low-mass WIMPs using a profile likelihood approach
- Abstract:
- We report on a dark matter search for a Weakly Interacting Massive Particle (WIMP) in the mass range mx ∈ [4; 30] GeV/c^2 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 γ-and β-radiation, recoils from 206Pb 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) [1]. 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 sensitivity, especially for the lowest WIMP masses probed. No statistically significant signal was found and upper limits on the spin-independent WIMP-nucleon scattering cross section can be set with a hypothesis test based on the profile likelihood test statistics. The 90% C.L. exclusion limit set for WIMPs with mx = 4 GeV=c^2 is 1:6 X 10^-39 cm2, which is an improvement of a factor of seven with respect to the BDT-based analysis. For WIMP masses above 15 GeV/c^2 the exclusion limits found with both analyses are in good agreement.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 1.3MB, Terms of use)
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- Publisher copy:
- 10.1140/epjc/s10052-016-4388-y
Authors
- Publisher:
- Springer
- Journal:
- European Physical Journal C More from this journal
- Volume:
- 76
- Issue:
- 10
- Pages:
- 548
- Publication date:
- 2016-10-06
- Acceptance date:
- 2016-09-19
- DOI:
- ISSN:
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1434-6044 and 1434-6052
- Keywords:
- Pubs id:
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pubs:657714
- UUID:
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uuid:42393d39-2b75-45f9-8ed7-22fe2086c77b
- Local pid:
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pubs:657714
- Source identifiers:
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657714
- Deposit date:
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2016-11-29
Terms of use
- Copyright holder:
- Kraus et al
- Copyright date:
- 2016
- Notes:
- © The Author(s) 2016 This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Funded by SCOAP3.
- Licence:
- CC Attribution (CC BY)
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