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Search for dark matter with EDELWEISS-III excluding background from muon-induced neutrons

Abstract : The aim of the EDELWEISS-III experiment is to detect the elastic scattering of WIMPs from the galactic dark matter halo on germanium bolometers. The most problematic background arises from neutrons, which can mimic a WIMP interaction in a detector. Neutrons are notably induced by high energy cosmic ray muons reaching the underground laboratory despite the 4800 m w.e. of rock overburdened. Remaining muons are tagged using an active muon-veto system of 46 plastic scintillator modules surrounding the experiment, which allows to reject most of the associated background. The goal of this thesis was to give a precise estimation of the irreducible muon-induced neutron background, needed to identify a potential WIMP signal. The expected background depends on the geometry of the experiment as well as on the used materials, both strongly modified since EDELWEISS-II. Geant4-based simulations of muons through the modified geometry were performed to derive the rate of events induced by muons in the bolometer array. This rate has been shown to be in good agreement with the measured one extracted from the Run308 data. In parallel, a lower limit on the muon-veto efficiency was derived using bolometer data only. A new method based on an AmBe source was developed to extract precisely the detection efficiency of individual modules from the simulation. From these results, it was shown that the expected background is negligible for the WIMP search analyses performed with the Run308 data and won't limit the future sensitivity of the EDELWEISS-III experiment
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Contributor : Abes Star :  Contact
Submitted on : Thursday, September 8, 2016 - 11:39:08 AM
Last modification on : Friday, September 10, 2021 - 1:50:15 PM
Long-term archiving on: : Friday, December 9, 2016 - 12:51:36 PM


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  • HAL Id : tel-01362154, version 1



Cécile Kéfélian. Search for dark matter with EDELWEISS-III excluding background from muon-induced neutrons. Physics [physics]. Université de Lyon, 2016. English. ⟨NNT : 2016LYSE1020⟩. ⟨tel-01362154⟩



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