XENON1T Dark Matter Data Analysis: Signal & Background Models, and Statistical Inference
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 tonneyear 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.
Cite
@article{arxiv.1902.11297,
title = {XENON1T Dark Matter Data Analysis: Signal & Background Models, and Statistical Inference},
author = {E. Aprile and J. Aalbers and F. Agostini and M. Alfonsi and L. Althueser and F. D. Amaro and V. C. Antochi and F. Arneodo and L. Baudis and B. Bauermeister and M. L. Benabderrahmane and T. Berger and P. A. Breur and A. Brown and E. Brown and S. Bruenner and G. Bruno and R. Budnik and C. Capelli and J. M. R. Cardoso and D. Cichon and D. Coderre and A. P. Colijn and J. Conrad and J. P. Cussonneau and M. P. Decowski and P. de Perio and P. Di Gangi and A. Di Giovanni and S. Diglio and A. Elykov and G. Eurin and J. Fei and A. D. Ferella and A. Fieguth and W. Fulgione and A. Gallo Rosso and M. Galloway and F. Gao and M. Garbini and L. Grandi and Z. Greene and C. Hasterok and E. Hogenbirk and J. Howlett and M. Iacovacci and R. Itay and F. Joerg and S. Kazama and A. Kish and G. Koltman and A. Kopec and H. Landsman and R. F. Lang and L. Levinson and Q. Lin and S. Lindemann and M. Lindner and F. Lombardi and J. A. M. Lopes and E. López Fune and C. Macolino and J. Mahlstedt and A. Manfredini and F. Marignetti and T. Marrodán Undagoitia and J. Masbou and D. Masson and S. Mastroianni and M. Messina and K. Micheneau and K. Miller and A. Molinario and K. Morå and Y. Mosbacher and M. Murra and J. Naganoma and K. Ni and U. Oberlack and K. Odgers and B. Pelssers and F. Piastra and J. Pienaar and V. Pizzella and G. Plante and R. Podviianiuk and H. Qiu and D. Ramírez García and S. Reichard and B. Riedel and A. Rizzo and A. Rocchetti and N. Rupp and J. M. F. dos Santos and G. Sartorelli and N. Šarčević and M. Scheibelhut and S. Schindler and J. Schreiner and D. Schulte and M. Schumann and L. Scotto Lavina and M. Selvi and P. Shagin and E. Shockley and M. Silva and H. Simgen and C. Therreau and D. Thers and F. Toschi and G. Trinchero and C. Tunnell and N. Upole and M. Vargas and O. Wack and H. Wang and Z. Wang and Y. Wei and C. Weinheimer and D. Wenz and C. Wittweg and J. Wulf and J. Ye and Y. Zhang and T. Zhu and J. P. Zopounidis},
journal= {arXiv preprint arXiv:1902.11297},
year = {2019}
}