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Cited by 241

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Projected WIMP sensitivity of the XENONnT dark matter experiment

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Aprile, E., Aalbers, J., Agostini, F., Alfonsi, M., Althueser, L., Amaro, F.D., Antochi, V.C., Angelino, E., Angevaare, J.R., Arneodo, F., Barge, D., Baudis, L., Bauermeister, B., Bellagamba, L., Benabderrahmane, M.L., Berger, T., Brown, A., Brown, E., Bruenner, S., Bruno, G., Budnik, R., Capelli, C., Cardoso, J.M.R., Cichon, D., Cimmino, B., Clark, M., Coderre, D., Colijn, A.P., Conrad, J., Cussonneau, J.P., Decowski, M.P., Depoian, A., Gangi, P. Di, Giovanni, A. Di, Stefano, R. Di, Diglio, S., Elykov, A., Eurin, G., Ferella, A.D., Fulgione, W., Gaemers, P., Gaior, R., Galloway, M., Gao, F., Grandi, L., Hasterok, C., Hils, C., Hiraide, K., Hoetzsch, L., Howlett, J., Iacovacci, M., Itow, Y., Joerg, F., Kato, N., Kazama, S., Kobayashi, M., Koltman, G., Kopec, A., Landsman, H., Lang, R.F., Levinson, L., Lin, Q., Lindemann, S., Lindner, M., Lombardi, F., Long, J., Lopes, J.A.M., Fune, E. López, Macolino, C., Mahlstedt, J., Mancuso, A., Manenti, L., Manfredini, A., Marignetti, F., Undagoitia, T. Marrodán, Martens, K., Masbou, J., Masson, D., Mastroianni, S., Messina, M., Miuchi, K., Mizukoshi, K., Molinario, A., Morå, K., Moriyama, S., Mosbacher, Y., Murra, M., Naganoma, J., Ni, K., Oberlack, U., Odgers, K., Palacio, J., Pelssers, B., Peres, R., Pienaar, J., Pizzella, V., Plante, G., Qin, J., Qiu, H., García, D. Ramírez, Reichard, S., Rocchetti, A., Rupp, N., Santos, J.M.F. dos, Sartorelli, G., Šarčević, N., Scheibelhut, M., Schreiner, J., Schulte, D., Schumann, M., Lavina, L. Scotto, Selvi, M., Semeria, F., Shagin, P., Shockley, E., Silva, M., Simgen, H., Takeda, A., Therreau, C., Thers, D., Toschi, F., Trinchero, G., Tunnell, C., Valerius, K., Vargas, M., Volta, G., Wang, H., Wei, Y., Weinheimer, C., Weiss, M., Wenz, D., Wittweg, C., Xu, Z., Yamashita, M., Ye, J., Zavattini, G., Zhang, Y., Zhu, T., Zopounidis, J.P.·2020·Journal of Cosmology and Astroparticle Physics

Abstract

XENONnT is a dark matter direct detection experiment, utilizing 5.9 t of instrumented liquid xenon, located at the INFN Laboratori Nazionali del Gran Sasso. In this work, we predict the experimental background and project the sensitivity of XENONnT to the detection of weakly interacting massive particles (WIMPs). The expected average differential background rate in the energy region of interest, corresponding to (1, 13) keV and (4, 50) keV for electronic and nuclear recoils, amounts to 12.3 ± 0.6 (keV t y)-1 and (2.2± 0.5)× 10−3(keV t y)-1, respectively, in a 4 t fiducial mass. We compute unified confidence intervals using the profile construction method, in order to ensure proper coverage. With the exposure goal of 20 t y, the expected sensitivity to spin-independent WIMP-nucleon interactions reaches a cross-section of 1.4×10−48 cm 2 for a 50 GeV/c 2 mass WIMP at 90% confidence level, more than one order of magnitude beyond the current best limit, set by XENON1T . In addition, we show that for a 50 GeV/c 2 WIMP with cross-sections above 2.6×10−48 cm 2(5.0×10−48 cm 2) the median XENONnT discovery significance exceeds 3σ (5σ). The expected sensitivity to the spin-dependent WIMP coupling to neutrons (protons) reaches 2.2×10−43 cm 2(6.0×10−42 cm 2).

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  • Recent developments in Geant4

    Allison, J., Amako, K., Apostolakis, J., Arce, P., Asai, M., Aso, T., Bagli, E., Bagulya, A., Banerjee, S., Barrand, G., et al. (2016) · Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment · doi:10.1016/j.nima.2016.06.125 · Cited by 4,194

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Authors
Aprile, E., Aalbers, J., Agostini, F., Alfonsi, M., Althueser, L., Amaro, F. D., Antochi, V. C., Angelino, E., Angevaare, J. R., Arneodo, F., Barge, D., Baudis, L., Bauermeister, B., Bellagamba, L., Benabderrahmane, M. L., Berger, T., Brown, A., Brown, E., Bruenner, S., Bruno, G., Budnik, R., Capelli, C., Cardoso, J. M. R., Cichon, D., Cimmino, B., Clark, M., Coderre, D., Colijn, A. P., Conrad, J., Cussonneau, J. P., Decowski, M. P., Depoian, A., Gangi, P. D., Giovanni, A. D., Stefano, R. D., Diglio, S., Elykov, A., Eurin, G., Ferella, A. D., Fulgione, W., Gaemers, P., Gaior, R., Galloway, M., Gao, F., Grandi, L., Hasterok, C., Hils, C., Hiraide, K., Hoetzsch, L., Howlett, J., Iacovacci, M., Itow, Y., Joerg, F., Kato, N., Kazama, S., Kobayashi, M., Koltman, G., Kopec, A., Landsman, H., Lang, R. F., Levinson, L., Lin, Q., Lindemann, S., Lindner, M., Lombardi, F., Long, J., Lopes, J. A. M., Fune, E. L., Macolino, C., Mahlstedt, J., Mancuso, A., Manenti, L., Manfredini, A., Marignetti, F., Undagoitia, T. M., Martens, K., Masbou, J., Masson, D., Mastroianni, S., Messina, M., Miuchi, K., Mizukoshi, K., Molinario, A., Morå, K., Moriyama, S., Mosbacher, Y., Murra, M., Naganoma, J., Ni, K., Oberlack, U., Odgers, K., Palacio, J., Pelssers, B., Peres, R., Pienaar, J., Pizzella, V., Plante, G., Qin, J., Qiu, H., García, D. R., Reichard, S., Rocchetti, A., Rupp, N., Santos, J. M. F. D., Sartorelli, G., Šarčević, N., Scheibelhut, M., Schreiner, J., Schulte, D., Schumann, M., Lavina, L. S., Selvi, M., Semeria, F., Shagin, P., Shockley, E., Silva, M., Simgen, H., Takeda, A., Therreau, C., Thers, D., Toschi, F., Trinchero, G., Tunnell, C., Valerius, K., Vargas, M., Volta, G., Wang, H., Wei, Y., Weinheimer, C., Weiss, M., Wenz, D., Wittweg, C., Xu, Z., Yamashita, M., Ye, J., Zavattini, G., Zhang, Y., Zhu, T., & Zopounidis, J. P.
Venue
Journal of Cosmology and Astroparticle Physics
Published
2020-11-01
Volume
2020
Issue
11
Pages
031-031
ISSN
  • 1475-7508 (ISSN-L)
  • 1475-7516
OpenAlex
W3043242682
Cited by
241
References
1
FWCI
18.44
Type
journal article
Language
en
Open access
bronze

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Aprile, E., Aalbers, J., Agostini, F., Alfonsi, M., Althueser, L., Amaro, F. D., Antochi, V. C., Angelino, E., Angevaare, J. R., Arneodo, F., Barge, D., Baudis, L., Bauermeister, B., Bellagamba, L., Benabderrahmane, M. L., Berger, T., Brown, A., Brown, E., Bruenner, S., . . . Zopounidis, J. P. (2020). Projected WIMP sensitivity of the XENONnT dark matter experiment. Journal of Cosmology and Astroparticle Physics. https://doi.org/10.1088/1475-7516/2020/11/031

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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