WIMP Dark Matter Search Using a 3.1 Tonne-Year Exposure of the XENONnT Experiment
E. Aprile, J. Aalbers, K. Abe, S. Ahmed Maouloud, L. Althueser, B. Andrieu, E. Angelino, D. Antón Martin, S. Armbruster, F. Arneodo, L. Baudis, M. Bazyk, L. Bellagamba, R. Biondi, A. Bismark, K. Boese, A. Brown, G. Bruno, R. Budnik, C. Cai, C. Capelli, J. M. R. Cardoso, A. P. Cimental Chávez, A. P. Colijn, J. Conrad, J. J. Cuenca-García, V. D’Andrea, L. C. Daniel Garcia, M. P. Decowski, A. Deisting, C Di Donato, P. Di Gangi, S. Diglio, K. Eitel, S. el Morabit, A. Elykov, A. D. Ferella, C. Ferrari, H. Fischer, T Flehmke, M. Flierman, D. Fuchs, W. Fulgione, C. Fuselli, P. Gaemers, R. Gaïor, F. Gao, S. Ghosh, R Giacomobono, F. Girard, R. Glade-Beucke, L. Grandi, J. Grigat, H. Guan, M. Guida, P Gyorgy, R. Hammann, A. Higuera, C. Hils, Luisa Hötzsch, N. F. Hood, M. Iacovacci, Y. Itow, J. Jakob, Florian Jörg, Y Kaminaga, M. Kara, P. Kavrigin, S. Kazama, P Kharbanda, M. Kobayashi, D Koke, K Kooshkjalali, A. Kopec, H. Landsman, R. F. Lang, L. J. Levinson, I. Li, S. Li, S. Liang, Zhenhao Liang, Y.-T. Lin, S. Lindemann, M. Lindner, K. Liu, K. Liu, J. Loizeau, F. Lombardi, J. Long, J. A. M. Lopes, Gianluca Lucchetti, T.C. Luce, Y. Ma, C. Macolino, J. Mahlstedt, A. Mancuso, L. Manenti, Fabrizio Marignetti, T. Marrodán Undagoitia, K. Martens
Abstract
We report on a search for weakly interacting massive particle (WIMP) dark matter (DM) via elastic DM-xenon-nucleus interactions in the XENONnT experiment. We combine datasets from the first and second science campaigns resulting in a total exposure of 3.1 tonne-years. In a blind analysis of nuclear recoil events with energies above 3.8 keV_{NR}, we find no significant excess above background. We set new upper limits on the spin-independent WIMP-nucleon scattering cross section for WIMP masses above 10 GeV/c^{2} with a minimum of 1.7×10^{-47} cm^{2} at 90% confidence level for a WIMP mass of 30 GeV/c^{2}. We achieve a best median sensitivity of 1.4×10^{-47} cm^{2} for a 41 GeV/c^{2} WIMP. Compared to the result from the first XENONnT science dataset, we improve our sensitivity by a factor of up to 1.8.