Abstract

Two-phase noble liquid detectors, with large target masses and effective background reduction, are currently leading the dark matter direct detection for WIMP masses above a few GeV. Due to their sensitivity to single ionized electron signals, these detectors were shown to also have strong constraints for sub-GeV dark matter via their scattering on electrons. In fact, the most stringent direct detection constraints for sub-GeV dark matter down to as low as 5 MeV come from noble liquid detectors, namely XENON10, DarkSide-50, XENON100 and XENON1T, although these experiments still suffer from high background at single or a few electron level. LBECA is a planned 100-kg scale liquid xenon detector with significant reduction of the single and a few electron background. The experiment will improve the sensitivity to sub-GeV dark matter by three orders of magnitude compared to the current best constraints.

Details

Title
LBECA: A Low Background Electron Counting Apparatus for Sub-GeV Dark Matter Detection
Author
Bernstein, A 1 ; Clark, M 2 ; Essig, R 3 ; Fernandez-Serra, M 4 ; Kopec, A 2 ; Lang, R F 2 ; Long, J 5 ; K Ni 5 ; Pereverzev, S 1 ; J Qi 5 ; Sorensen, P 6 ; J Xu 1 ; J Ye 5 ; Zhen, C 7 

 Lawrence Livermore National Laboratory (LLNL), Livermore, CA 94550-9698, USA 
 Department of Physics and Astronomy, Purdue University, West Lafayette, IN 47907, USA 
 C.N. Yang Institute for Theoretical Physics, Stony Brook University, Stony Brook, NY 11794, USA 
 Department of Physics and Astronomy, Stony Brook University, Stony Brook, NY 11794, USA 
 Department of Physics, University of California San Diego, La Jolla, CA 92093, USA 
 Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA 94720-8099, USA 
 C.N. Yang Institute for Theoretical Physics, Stony Brook University, Stony Brook, NY 11794, USA; Department of Physics and Astronomy, Stony Brook University, Stony Brook, NY 11794, USA 
Publication year
2020
Publication date
Feb 2020
Publisher
IOP Publishing
ISSN
17426588
e-ISSN
17426596
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2618602892
Copyright
© 2020. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.