English

XENONnT Analysis: Signal Reconstruction, Calibration and Event Selection

High Energy Physics - Experiment 2024-09-16 v1 Data Analysis, Statistics and Probability

Abstract

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\cdotyear\cdotkeV) 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.

Keywords

Cite

@article{arxiv.2409.08778,
  title  = {XENONnT Analysis: Signal Reconstruction, Calibration and Event Selection},
  author = {XENON Collaboration and E. Aprile and J. Aalbers and K. Abe and S. Ahmed Maouloud and L. Althueser and B. Andrieu and E. Angelino and J. R. Angevaare and D. Antón Martin and F. Arneodo and L. Baudis and M. Bazyk and L. Bellagamba and R. Biondi and A. Bismark and K. Boese and A. Brown and G. Bruno and R. Budnik and J. M. R. Cardoso and A. P. Cimental Chávez and A. P. Colijn and J. Conrad and J. J. Cuenca-García and V. D'Andrea and L. C. Daniel Garcia and M. P. Decowski and A. Deisting and C. Di Donato and P. Di Gangi and S. Diglio and K. Eitel and A. Elykov and A. D. Ferella and C. Ferrari and H. Fischer and T. Flehmke and M. Flierman and W. Fulgione and C. Fuselli and P. Gaemers and R. Gaior and M. Galloway and F. Gao and S. Ghosh and R. Giacomobono and R. Glade-Beucke and L. Grandi and J. Grigat and H. Guan and M. Guida and P. Gyoergy and R. Hammann and A. Higuera and C. Hils and L. Hoetzsch and N. F. Hood and M. Iacovacci and Y. Itow and J. Jakob and F. Joerg and Y. Kaminaga and M. Kara and P. Kavrigin and S. Kazama and M. Kobayashi and D. Koke and A. Kopec and F. Kuger and H. Landsman and R. F. Lang and L. Levinson and I. Li and S. Li and S. Liang and Y. -T. Lin and S. Lindemann and M. Lindner and K. Liu and J. Loizeau and F. Lombardi and J. Long and J. A. M. Lopes and T. Luce and Y. Ma and C. Macolino and J. Mahlstedt and A. Mancuso and L. Manenti and F. Marignetti and T. Marrodán Undagoitia and K. Martens and J. Masbou and E. Masson and S. Mastroianni and A. Melchiorre and J. Merz and M. Messina and A. Michael and K. Miuchi and A. Molinario and S. Moriyama and K. Morå and Y. Mosbacher and M. Murra and J. Müller and K. Ni and U. Oberlack and B. Paetsch and Y. Pan and Q. Pellegrini and R. Peres and C. Peters and J. Pienaar and M. Pierre and G. Plante and T. R. Pollmann and L. Principe and J. Qi and J. Qin and D. Ramírez García and M. Rajado and R. Singh and L. Sanchez and J. M. F. dos Santos and I. Sarnoff and G. Sartorelli and J. Schreiner and D. Schulte and P. Schulte and H. Schulze Eißing and M. Schumann and L. Scotto Lavina and M. Selvi and F. Semeria and P. Shagin and S. Shi and J. Shi and M. Silva and H. Simgen and A. Takeda and P. -L. Tan and A. Terliuk and D. Thers and F. Toschi and G. Trinchero and C. D. Tunnell and F. Tönnies and K. Valerius and S. Vecchi and S. Vetter and F. I. Villazon Solar and G. Volta and C. Weinheimer and M. Weiss and D. Wenz and C. Wittweg and V. H. S. Wu and Y. Xing and D. Xu and Z. Xu and M. Yamashita and L. Yang and J. Ye and L. Yuan and G. Zavattini and M. Zhong},
  journal= {arXiv preprint arXiv:2409.08778},
  year   = {2024}
}

Comments

27 pages, 23 figures