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XENONnT WIMP Search: Signal & Background Modeling and Statistical Inference

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	XENON Collaboration, Aprile, E., Aalbers, J., Abe, K., Maouloud, S. Ahmed, Althueser, L., Andrieu, B., Angelino, E., 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., 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., 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., 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.
Formato:	Preprint
Publicado:	2024
Materias:	Data Analysis, Statistics and Probability Instrumentation and Methods for Astrophysics High Energy Physics - Experiment Instrumentation and Detectors
Acceso en línea:	Acceder al recurso
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_version_	1866913871450603520
author	XENON Collaboration Aprile, E. Aalbers, J. Abe, K. Maouloud, S. Ahmed Althueser, L. Andrieu, B. Angelino, E. 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. 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. 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. 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. 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. 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. 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. 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 searches for weakly-interacting massive particle (WIMP) dark matter scattering off a xenon nucleus. In particular, XENONnT uses a dual-phase time projection chamber with a 5.9-tonne liquid xenon target, detecting both scintillation and ionization signals to reconstruct the energy, position, and type of recoil. A blind search for nuclear recoil WIMPs with an exposure of 1.1 tonne-years (4.18 t fiducial mass) yielded no signal excess over background expectations, from which competitive exclusion limits were derived on WIMP-nucleon elastic scatter cross sections, for WIMP masses ranging from 6 GeV/$c^2$ up to the TeV/$c^2$ scale. This work details the modeling and statistical methods employed in this search. By means of calibration data, we model the detector response, which is then used to derive background and signal models. The construction and validation of these models is discussed, alongside additional purely data-driven backgrounds. We also describe the statistical inference framework, including the definition of the likelihood function and the construction of confidence intervals.
format	Preprint
id	arxiv_https___arxiv_org_abs_2406_13638
institution	arXiv
publishDate	2024
record_format	arxiv
spellingShingle	XENONnT WIMP Search: Signal & Background Modeling and Statistical Inference XENON Collaboration Aprile, E. Aalbers, J. Abe, K. Maouloud, S. Ahmed Althueser, L. Andrieu, B. Angelino, E. 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. 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. 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. 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. Data Analysis, Statistics and Probability Instrumentation and Methods for Astrophysics High Energy Physics - Experiment Instrumentation and Detectors The XENONnT experiment searches for weakly-interacting massive particle (WIMP) dark matter scattering off a xenon nucleus. In particular, XENONnT uses a dual-phase time projection chamber with a 5.9-tonne liquid xenon target, detecting both scintillation and ionization signals to reconstruct the energy, position, and type of recoil. A blind search for nuclear recoil WIMPs with an exposure of 1.1 tonne-years (4.18 t fiducial mass) yielded no signal excess over background expectations, from which competitive exclusion limits were derived on WIMP-nucleon elastic scatter cross sections, for WIMP masses ranging from 6 GeV/$c^2$ up to the TeV/$c^2$ scale. This work details the modeling and statistical methods employed in this search. By means of calibration data, we model the detector response, which is then used to derive background and signal models. The construction and validation of these models is discussed, alongside additional purely data-driven backgrounds. We also describe the statistical inference framework, including the definition of the likelihood function and the construction of confidence intervals.
title	XENONnT WIMP Search: Signal & Background Modeling and Statistical Inference
topic	Data Analysis, Statistics and Probability Instrumentation and Methods for Astrophysics High Energy Physics - Experiment Instrumentation and Detectors
url	https://arxiv.org/abs/2406.13638