BibTex format
@article{Akerib:2022:10.1103/PhysRevD.106.072009,
author = {Akerib, DS and Alsum, S and Araujo, HM and Bai, X and Balajthy, J and Bang, J and Baxter, A and Bernard, EP and Bernstein, A and Biesiadzinski, TP and Boulton, EM and Boxer, B and Bras, P and Burdin, S and Byrarn, D and Carrara, N and Carmona-Benitez, MC and Chan, C and Cutter, JE and de, Viveiros L and Druszkiewicz, E and Ernst, J and Fan, A and Fiorucci, S and Gaitskell, RJ and Ghag, C and Gilchriese, MGD and Gwilliam, C and Hall, CR and Haselschwardt, SJ and Herte, SA and Hogan, P and Horn, M and Huang, DQ and Ignarra, CM and Jacobsen, RG and Jahangir, O and Ji, W and Kamdin, K and Kazkaz, K and Khaitan, D and Korolkova, E and Kravitz, S and Kudryavtsev, VA and Leason, E and Lenardo, BG and Lesko, KT and Liao, J and Lin, J and Lindote, A and Lopes, M and Manalaysa, A and Mannino, RL and Marangou, N and McKinsey, DN and Mei, D-M and Morad, JA and Murphy, ASJ and Naylor, A and Nehrkorn, C and Nelson, HN and Neves, F and Nilima, A and Oliver-Mallory, KC and Palladino, KJ and Rhyne, C a},
doi = {10.1103/PhysRevD.106.072009},
journal = {PHYSICAL REVIEW D},
title = {Fast and flexible analysis of direct dark matter search data with machine learning},
url = {http://dx.doi.org/10.1103/PhysRevD.106.072009},
volume = {106},
year = {2022}
}