Skip to Main content Skip to Navigation
Journal articles

Low energy electron/recoil discrimination for directional Dark Matter detection

Abstract : Directional detection is a promising Dark Matter search strategy. Even though it could accommodate to a sizeable background contamination, electron/recoil discrimination remains a key and challenging issue as for direction-insensitive detectors. The measurement of the 3D track may be used to discriminate electrons from nuclear recoils. While a high rejection power is expected above 20 keV ionization, a dedicated data analysis is needed at low energy. After identifying discriminant observables, a multivariate analysis, namely a Boosted Decision Tree, is proposed, enabling an efficient event tagging for Dark Matter search. We show that it allows us to optimize rejection while keeping a rather high efficiency which is compulsory for rare event search.With respect to a sequential analysis, the rejection is about 20 times higher with a multivariate analysis, for the same Dark Matter exclusion limit.
Complete list of metadatas
Contributor : Emmanuelle Vernay <>
Submitted on : Monday, May 7, 2012 - 8:11:36 AM
Last modification on : Monday, July 20, 2020 - 9:18:29 AM

Links full text





J. Billard, F. Mayet, D. Santos. Low energy electron/recoil discrimination for directional Dark Matter detection. Journal of Cosmology and Astroparticle Physics, Institute of Physics (IOP), 2012, 07, pp.020. ⟨10.1088/1475-7516/2012/07/020⟩. ⟨in2p3-00694886⟩



Record views