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XENONnT Analysis: Signal Reconstruction, Calibration and Event Selection

Fuente: arXiv

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Auteurs principaux:	XENON Collaboration, Aprile, E., Aalbers, J., Abe, K., Maouloud, S. Ahmed, Althueser, L., Andrieu, B., Angelino, E., Angevaare, J. R., Martin, D. Antón, Arneodo, F., Baudis, L., Bazyk, M., Bellagamba, L., Biondi, R., Bismark, A., Boese, K., Brown, A., Bruno, G., Budnik, R., Cardoso, J. M. R., Chávez, A. P. Cimental, Colijn, A. P., Conrad, J., Cuenca-García, J. J., D'Andrea, V., Garcia, L. C. Daniel, Decowski, M. P., Deisting, A., Di Donato, C., Di Gangi, P., Diglio, S., Eitel, K., Elykov, A., Ferella, A. D., Ferrari, C., Fischer, H., Flehmke, T., Flierman, M., Fulgione, W., Fuselli, C., Gaemers, P., Gaior, R., Galloway, M., Gao, F., Ghosh, S., Giacomobono, R., Glade-Beucke, R., Grandi, L., Grigat, J., Guan, H., Guida, M., Gyoergy, P., Hammann, R., Higuera, A., Hils, C., Hoetzsch, L., Hood, N. F., Iacovacci, M., Itow, Y., Jakob, J., Joerg, F., Kaminaga, Y., Kara, M., Kavrigin, P., Kazama, S., Kobayashi, M., Koke, D., Kopec, A., Kuger, F., Landsman, H., Lang, R. F., Levinson, L., Li, I., Li, S., Liang, S., Lin, Y. -T., Lindemann, S., Lindner, M., Liu, K., Loizeau, J., Lombardi, F., Long, J., Lopes, J. A. M., Luce, T., Ma, Y., Macolino, C., Mahlstedt, J., Mancuso, A., Manenti, L., Marignetti, F., Undagoitia, T. Marrodán, Martens, K., Masbou, J., Masson, E., Mastroianni, S., Melchiorre, A., Merz, J., Messina, M., Michael, A., Miuchi, K., Molinario, A., Moriyama, S., Morå, K., Mosbacher, Y., Murra, M., Müller, J., Ni, K., Oberlack, U., Paetsch, B., Pan, Y., Pellegrini, Q., Peres, R., Peters, C., Pienaar, J., Pierre, M., Plante, G., Pollmann, T. R., Principe, L., Qi, J., Qin, J., García, D. Ramírez, Rajado, M., Singh, R., Sanchez, L., Santos, J. M. F. dos, Sarnoff, I., Sartorelli, G., Schreiner, J., Schulte, D., Schulte, P., Eißing, H. Schulze, Schumann, M., Lavina, L. Scotto, Selvi, M., Semeria, F., Shagin, P., Shi, S., Shi, J., Silva, M., Simgen, H., Takeda, A., Tan, P. -L., Terliuk, A., Thers, D., Toschi, F., Trinchero, G., Tunnell, C. D., Tönnies, F., Valerius, K., Vecchi, S., Vetter, S., Solar, F. I. Villazon, Volta, G., Weinheimer, C., Weiss, M., Wenz, D., Wittweg, C., Wu, V. H. S., Xing, Y., Xu, D., Xu, Z., Yamashita, M., Yang, L., Ye, J., Yuan, L., Zavattini, G., Zhong, M.
Format:	Preprint
Publié:	2024
Sujets:	High Energy Physics - Experiment Data Analysis, Statistics and Probability
Accès en ligne:	Acceder al recurso
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author	XENON Collaboration Aprile, E. Aalbers, J. Abe, K. Maouloud, S. Ahmed Althueser, L. Andrieu, B. Angelino, E. Angevaare, J. R. Martin, D. Antón Arneodo, F. Baudis, L. Bazyk, M. Bellagamba, L. Biondi, R. Bismark, A. Boese, K. Brown, A. Bruno, G. Budnik, R. Cardoso, J. M. R. Chávez, A. P. Cimental Colijn, A. P. Conrad, J. Cuenca-García, J. J. D'Andrea, V. Garcia, L. C. Daniel Decowski, M. P. Deisting, A. Di Donato, C. Di Gangi, P. Diglio, S. Eitel, K. Elykov, A. Ferella, A. D. Ferrari, C. Fischer, H. Flehmke, T. Flierman, M. Fulgione, W. Fuselli, C. Gaemers, P. Gaior, R. Galloway, M. Gao, F. Ghosh, S. Giacomobono, R. Glade-Beucke, R. Grandi, L. Grigat, J. Guan, H. Guida, M. Gyoergy, P. Hammann, R. Higuera, A. Hils, C. Hoetzsch, L. Hood, N. F. Iacovacci, M. Itow, Y. Jakob, J. Joerg, F. Kaminaga, Y. Kara, M. Kavrigin, P. Kazama, S. Kobayashi, M. Koke, D. Kopec, A. Kuger, F. Landsman, H. Lang, R. F. Levinson, L. Li, I. Li, S. Liang, S. Lin, Y. -T. Lindemann, S. Lindner, M. Liu, K. Loizeau, J. Lombardi, F. Long, J. Lopes, J. A. M. Luce, T. Ma, Y. Macolino, C. Mahlstedt, J. Mancuso, A. Manenti, L. Marignetti, F. Undagoitia, T. Marrodán Martens, K. Masbou, J. Masson, E. Mastroianni, S. Melchiorre, A. Merz, J. Messina, M. Michael, A. Miuchi, K. Molinario, A. Moriyama, S. Morå, K. Mosbacher, Y. Murra, M. Müller, J. Ni, K. Oberlack, U. Paetsch, B. Pan, Y. Pellegrini, Q. Peres, R. Peters, C. Pienaar, J. Pierre, M. Plante, G. Pollmann, T. R. Principe, L. Qi, J. Qin, J. García, D. Ramírez Rajado, M. Singh, R. Sanchez, L. Santos, J. M. F. dos Sarnoff, I. Sartorelli, G. Schreiner, J. Schulte, D. Schulte, P. Eißing, H. Schulze Schumann, M. Lavina, L. Scotto Selvi, M. Semeria, F. Shagin, P. Shi, S. Shi, J. Silva, M. Simgen, H. Takeda, A. Tan, P. -L. Terliuk, A. Thers, D. Toschi, F. Trinchero, G. Tunnell, C. D. Tönnies, F. Valerius, K. Vecchi, S. Vetter, S. Solar, F. I. Villazon Volta, G. Weinheimer, C. Weiss, M. Wenz, D. Wittweg, C. Wu, V. H. S. Xing, Y. Xu, D. Xu, Z. Yamashita, M. Yang, L. Ye, J. Yuan, L. Zavattini, G. Zhong, M.
author_facet	XENON Collaboration Aprile, E. Aalbers, J. Abe, K. Maouloud, S. Ahmed Althueser, L. Andrieu, B. Angelino, E. Angevaare, J. R. Martin, D. Antón Arneodo, F. Baudis, L. Bazyk, M. Bellagamba, L. Biondi, R. Bismark, A. Boese, K. Brown, A. Bruno, G. Budnik, R. Cardoso, J. M. R. Chávez, A. P. Cimental Colijn, A. P. Conrad, J. Cuenca-García, J. J. D'Andrea, V. Garcia, L. C. Daniel Decowski, M. P. Deisting, A. Di Donato, C. Di Gangi, P. Diglio, S. Eitel, K. Elykov, A. Ferella, A. D. Ferrari, C. Fischer, H. Flehmke, T. Flierman, M. Fulgione, W. Fuselli, C. Gaemers, P. Gaior, R. Galloway, M. Gao, F. Ghosh, S. Giacomobono, R. Glade-Beucke, R. Grandi, L. Grigat, J. Guan, H. Guida, M. Gyoergy, P. Hammann, R. Higuera, A. Hils, C. Hoetzsch, L. Hood, N. F. Iacovacci, M. Itow, Y. Jakob, J. Joerg, F. Kaminaga, Y. Kara, M. Kavrigin, P. Kazama, S. Kobayashi, M. Koke, D. Kopec, A. Kuger, F. Landsman, H. Lang, R. F. Levinson, L. Li, I. Li, S. Liang, S. Lin, Y. -T. Lindemann, S. Lindner, M. Liu, K. Loizeau, J. Lombardi, F. Long, J. Lopes, J. A. M. Luce, T. Ma, Y. Macolino, C. Mahlstedt, J. Mancuso, A. Manenti, L. Marignetti, F. Undagoitia, T. Marrodán Martens, K. Masbou, J. Masson, E. Mastroianni, S. Melchiorre, A. Merz, J. Messina, M. Michael, A. Miuchi, K. Molinario, A. Moriyama, S. Morå, K. Mosbacher, Y. Murra, M. Müller, J. Ni, K. Oberlack, U. Paetsch, B. Pan, Y. Pellegrini, Q. Peres, R. Peters, C. Pienaar, J. Pierre, M. Plante, G. Pollmann, T. R. Principe, L. Qi, J. Qin, J. García, D. Ramírez Rajado, M. Singh, R. Sanchez, L. Santos, J. M. F. dos Sarnoff, I. Sartorelli, G. Schreiner, J. Schulte, D. Schulte, P. Eißing, H. Schulze Schumann, M. Lavina, L. Scotto Selvi, M. Semeria, F. Shagin, P. Shi, S. Shi, J. Silva, M. Simgen, H. Takeda, A. Tan, P. -L. Terliuk, A. Thers, D. Toschi, F. Trinchero, G. Tunnell, C. D. Tönnies, F. Valerius, K. Vecchi, S. Vetter, S. Solar, F. I. Villazon Volta, G. Weinheimer, C. Weiss, M. Wenz, D. Wittweg, C. Wu, V. H. S. Xing, Y. Xu, D. Xu, Z. Yamashita, M. Yang, L. Ye, J. Yuan, L. Zavattini, G. Zhong, M.
contents	The XENONnT experiment, located at the INFN Laboratori Nazionali del Gran Sasso, Italy, features a 5.9 tonne liquid xenon time projection chamber surrounded by an instrumented neutron veto, all of which is housed within a muon veto water tank. Due to extensive shielding and advanced purification to mitigate natural radioactivity, an exceptionally low background level of (15.8 $\pm$ 1.3) events/(tonne$\cdot$year$\cdot$keV) in the (1, 30) keV region is reached in the inner part of the TPC. XENONnT is thus sensitive to a wide range of rare phenomena related to Dark Matter and Neutrino interactions, both within and beyond the Standard Model of particle physics, with a focus on the direct detection of Dark Matter in the form of weakly interacting massive particles (WIMPs). From May 2021 to December 2021, XENONnT accumulated data in rare-event search mode with a total exposure of one tonne $\cdot$ year. This paper provides a detailed description of the signal reconstruction methods, event selection procedure, and detector response calibration, as well as an overview of the detector performance in this time frame. This work establishes the foundational framework for the `blind analysis' methodology we are using when reporting XENONnT physics results.
format	Preprint
id	arxiv_https___arxiv_org_abs_2409_08778
institution	arXiv
publishDate	2024
record_format	arxiv
spellingShingle	XENONnT Analysis: Signal Reconstruction, Calibration and Event Selection XENON Collaboration Aprile, E. Aalbers, J. Abe, K. Maouloud, S. Ahmed Althueser, L. Andrieu, B. Angelino, E. Angevaare, J. R. Martin, D. Antón Arneodo, F. Baudis, L. Bazyk, M. Bellagamba, L. Biondi, R. Bismark, A. Boese, K. Brown, A. Bruno, G. Budnik, R. Cardoso, J. M. R. Chávez, A. P. Cimental Colijn, A. P. Conrad, J. Cuenca-García, J. J. D'Andrea, V. Garcia, L. C. Daniel Decowski, M. P. Deisting, A. Di Donato, C. Di Gangi, P. Diglio, S. Eitel, K. Elykov, A. Ferella, A. D. Ferrari, C. Fischer, H. Flehmke, T. Flierman, M. Fulgione, W. Fuselli, C. Gaemers, P. Gaior, R. Galloway, M. Gao, F. Ghosh, S. Giacomobono, R. Glade-Beucke, R. Grandi, L. Grigat, J. Guan, H. Guida, M. Gyoergy, P. Hammann, R. Higuera, A. Hils, C. Hoetzsch, L. Hood, N. F. Iacovacci, M. Itow, Y. Jakob, J. Joerg, F. Kaminaga, Y. Kara, M. Kavrigin, P. Kazama, S. Kobayashi, M. Koke, D. Kopec, A. Kuger, F. Landsman, H. Lang, R. F. Levinson, L. Li, I. Li, S. Liang, S. Lin, Y. -T. Lindemann, S. Lindner, M. Liu, K. Loizeau, J. Lombardi, F. Long, J. Lopes, J. A. M. Luce, T. Ma, Y. Macolino, C. Mahlstedt, J. Mancuso, A. Manenti, L. Marignetti, F. Undagoitia, T. Marrodán Martens, K. Masbou, J. Masson, E. Mastroianni, S. Melchiorre, A. Merz, J. Messina, M. Michael, A. Miuchi, K. Molinario, A. Moriyama, S. Morå, K. Mosbacher, Y. Murra, M. Müller, J. Ni, K. Oberlack, U. Paetsch, B. Pan, Y. Pellegrini, Q. Peres, R. Peters, C. Pienaar, J. Pierre, M. Plante, G. Pollmann, T. R. Principe, L. Qi, J. Qin, J. García, D. Ramírez Rajado, M. Singh, R. Sanchez, L. Santos, J. M. F. dos Sarnoff, I. Sartorelli, G. Schreiner, J. Schulte, D. Schulte, P. Eißing, H. Schulze Schumann, M. Lavina, L. Scotto Selvi, M. Semeria, F. Shagin, P. Shi, S. Shi, J. Silva, M. Simgen, H. Takeda, A. Tan, P. -L. Terliuk, A. Thers, D. Toschi, F. Trinchero, G. Tunnell, C. D. Tönnies, F. Valerius, K. Vecchi, S. Vetter, S. Solar, F. I. Villazon Volta, G. Weinheimer, C. Weiss, M. Wenz, D. Wittweg, C. Wu, V. H. S. Xing, Y. Xu, D. Xu, Z. Yamashita, M. Yang, L. Ye, J. Yuan, L. Zavattini, G. Zhong, M. High Energy Physics - Experiment Data Analysis, Statistics and Probability The XENONnT experiment, located at the INFN Laboratori Nazionali del Gran Sasso, Italy, features a 5.9 tonne liquid xenon time projection chamber surrounded by an instrumented neutron veto, all of which is housed within a muon veto water tank. Due to extensive shielding and advanced purification to mitigate natural radioactivity, an exceptionally low background level of (15.8 $\pm$ 1.3) events/(tonne$\cdot$year$\cdot$keV) in the (1, 30) keV region is reached in the inner part of the TPC. XENONnT is thus sensitive to a wide range of rare phenomena related to Dark Matter and Neutrino interactions, both within and beyond the Standard Model of particle physics, with a focus on the direct detection of Dark Matter in the form of weakly interacting massive particles (WIMPs). From May 2021 to December 2021, XENONnT accumulated data in rare-event search mode with a total exposure of one tonne $\cdot$ year. This paper provides a detailed description of the signal reconstruction methods, event selection procedure, and detector response calibration, as well as an overview of the detector performance in this time frame. This work establishes the foundational framework for the `blind analysis' methodology we are using when reporting XENONnT physics results.
title	XENONnT Analysis: Signal Reconstruction, Calibration and Event Selection
topic	High Energy Physics - Experiment Data Analysis, Statistics and Probability
url	https://arxiv.org/abs/2409.08778