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Results of a Search for Sub-GeV Dark Matter Using 2013 LUX Data. (2019)

First Author: Akerib DS

Attributed to: Machine Learning in Direct Dark Matter Experiments funded by STFC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1103/physrevlett.122.131301

PubMed Identifier: 31012624

Publication URI: http://europepmc.org/abstract/MED/31012624

Type: Journal Article/Review

Volume: 122

Parent Publication: Physical review letters

Issue: 13

ISSN: 0031-9007