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XENON1T dark matter data analysis: Signal and background models and statistical inference

Authors :
Aprile, E
Aprile, E
Aalbers, J
Agostini, F
Alfonsi, M
Althueser, L
Amaro, FD
Antochi, VC
Arneodo, F
Baudis, L
Bauermeister, B
Benabderrahmane, ML
Berger, T
Breur, PA
Brown, A
Brown, E
Bruenner, S
Bruno, G
Budnik, R
Capelli, C
Cardoso, JMR
Cichon, D
Coderre, D
Colijn, AP
Conrad, J
Cussonneau, JP
Decowski, MP
de Perio, P
Di Gangi, P
Di Giovanni, A
Diglio, S
Elykov, A
Eurin, G
Fei, J
Ferella, AD
Fieguth, A
Fulgione, W
Rosso, A Gallo
Galloway, M
Gao, F
Garbini, M
Grandi, L
Greene, Z
Hasterok, C
Hogenbirk, E
Howlett, J
Iacovacci, M
Itay, R
Joerg, F
Kazama, S
Kish, A
Koltman, G
Kopec, A
Landsman, H
Lang, RF
Levinson, L
Lin, Q
Lindemann, S
Lindner, M
Lombardi, F
Lopes, JAM
Fune, E Lopez
Macolino, C
Mahlstedt, J
Manfredini, A
Marignetti, F
Undagoitia, T Marrodan
Masbou, J
Masson, D
Mastroianni, S
Messina, M
Micheneau, K
Miller, K
Molinario, A
Mora, K
Mosbacher, Y
Murra, M
Naganoma, J
Ni, K
Oberlack, U
Odgers, K
Pelssers, B
Peres, R
Piastra, F
Pienaar, J
Pizzella, V
Plante, G
Podviianiuk, R
Qiu, H
Garcia, D Ramirez
Reichard, S
Riedel, B
Rizzo, A
Rocchetti, A
Rupp, N
dos Santos, JMF
Sartorelli, G
Sarcevic, N
Scheibelhut, M
Schindler, S
Schreiner, J
Aprile, E
Aprile, E
Aalbers, J
Agostini, F
Alfonsi, M
Althueser, L
Amaro, FD
Antochi, VC
Arneodo, F
Baudis, L
Bauermeister, B
Benabderrahmane, ML
Berger, T
Breur, PA
Brown, A
Brown, E
Bruenner, S
Bruno, G
Budnik, R
Capelli, C
Cardoso, JMR
Cichon, D
Coderre, D
Colijn, AP
Conrad, J
Cussonneau, JP
Decowski, MP
de Perio, P
Di Gangi, P
Di Giovanni, A
Diglio, S
Elykov, A
Eurin, G
Fei, J
Ferella, AD
Fieguth, A
Fulgione, W
Rosso, A Gallo
Galloway, M
Gao, F
Garbini, M
Grandi, L
Greene, Z
Hasterok, C
Hogenbirk, E
Howlett, J
Iacovacci, M
Itay, R
Joerg, F
Kazama, S
Kish, A
Koltman, G
Kopec, A
Landsman, H
Lang, RF
Levinson, L
Lin, Q
Lindemann, S
Lindner, M
Lombardi, F
Lopes, JAM
Fune, E Lopez
Macolino, C
Mahlstedt, J
Manfredini, A
Marignetti, F
Undagoitia, T Marrodan
Masbou, J
Masson, D
Mastroianni, S
Messina, M
Micheneau, K
Miller, K
Molinario, A
Mora, K
Mosbacher, Y
Murra, M
Naganoma, J
Ni, K
Oberlack, U
Odgers, K
Pelssers, B
Peres, R
Piastra, F
Pienaar, J
Pizzella, V
Plante, G
Podviianiuk, R
Qiu, H
Garcia, D Ramirez
Reichard, S
Riedel, B
Rizzo, A
Rocchetti, A
Rupp, N
dos Santos, JMF
Sartorelli, G
Sarcevic, N
Scheibelhut, M
Schindler, S
Schreiner, J
Source :
PHYSICAL REVIEW D; vol 99, iss 11, 112009; 2470-0010
Publication Year :
2019

Abstract

The XENON1T experiment searches for dark matter particles through their scattering off xenon atoms in a 2 tonne liquid xenon target. The detector is a dual-phase time projection chamber, which measures simultaneously the scintillation and ionization signals produced by interactions in target volume, to reconstruct energy and position, as well as the type of the interaction. The background rate in the central volume of XENON1T detector is the lowest achieved so far with a liquid xenon-based direct detection experiment. In this work we describe the response model of the detector, the background and signal models, and the statistical inference procedures used in the dark matter searches with a 1 tonne$\times$year exposure of XENON1T data, that leaded to the best limit to date on WIMP-nucleon spin-independent elastic scatter cross-section for WIMP masses above 6 GeV/c$^2$.

Details

Database :
OAIster
Journal :
PHYSICAL REVIEW D; vol 99, iss 11, 112009; 2470-0010
Notes :
application/pdf, PHYSICAL REVIEW D vol 99, iss 11, 112009 2470-0010
Publication Type :
Electronic Resource
Accession number :
edsoai.on1287413219
Document Type :
Electronic Resource