# XENON1T Dark Matter Data Analysis: Signal & Background Models, and   Statistical Inference

**Authors:** E. Aprile, J. Aalbers, F. Agostini, M. Alfonsi, L. Althueser, F. D., Amaro, V. C. Antochi, F. Arneodo, L. Baudis, B. Bauermeister, M. L., Benabderrahmane, T. Berger, P. A. Breur, A. Brown, E. Brown, S. Bruenner, G., Bruno, R. Budnik, C. Capelli, J. M. R. Cardoso, D. Cichon, D. Coderre, A. P., Colijn, J. Conrad, J. P. Cussonneau, M. P. Decowski, P. de Perio, P. Di, Gangi, A. Di Giovanni, S. Diglio, A. Elykov, G. Eurin, J. Fei, A. D. Ferella,, A. Fieguth, W. Fulgione, A. Gallo Rosso, M. Galloway, F. Gao, M. Garbini, L., Grandi, Z. Greene, C. Hasterok, E. Hogenbirk, J. Howlett, M. Iacovacci, R., Itay, F. Joerg, S. Kazama, A. Kish, G. Koltman, A. Kopec, H. Landsman, R. F., Lang, L. Levinson, Q. Lin, S. Lindemann, M. Lindner, F. Lombardi, J. A. M., Lopes, E. L\'opez Fune, C. Macolino, J. Mahlstedt, A. Manfredini, F., Marignetti, T. Marrod\'an Undagoitia, J. Masbou, D. Masson, S. Mastroianni,, M. Messina, K. Micheneau, K. Miller, A. Molinario, K. Mor{\aa}, Y. Mosbacher,, M. Murra, J. Naganoma, K. Ni, U. Oberlack, K. Odgers, B. Pelssers, F., Piastra, J. Pienaar, V. Pizzella, G. Plante, R. Podviianiuk, H. Qiu, D., Ram\'irez Garc\'ia, S. Reichard, B. Riedel, A. Rizzo, A. Rocchetti, N. Rupp,, J. M. F. dos Santos, G. Sartorelli, N. \v{S}ar\v{c}evi\'c, M. Scheibelhut, S., Schindler, J. Schreiner, D. Schulte, M. Schumann, L. Scotto Lavina, M. Selvi,, P. Shagin, E. Shockley, M. Silva, H. Simgen, C. Therreau, D. Thers, F., Toschi, G. Trinchero, C. Tunnell, N. Upole, M. Vargas, O. Wack, H. Wang, Z., Wang, Y. Wei, C. Weinheimer, D. Wenz, C. Wittweg, J. Wulf, J. Ye, Y. Zhang,, T. Zhu, J. P. Zopounidis

arXiv: 1902.11297 · 2019-07-03

## TL;DR

This paper details the XENON1T experiment's detector response, background and signal models, and statistical methods, leading to the most stringent limits on WIMP-nucleon interactions for certain dark matter masses.

## Contribution

It provides a comprehensive description of the detector response, background, and signal models, along with statistical inference procedures, advancing dark matter search techniques with XENON1T data.

## Key findings

- Achieved the lowest background rate in liquid xenon detectors
- Set the best limit on WIMP-nucleon cross-section for masses above 6 GeV/c^2
- Developed detailed models and inference methods for dark matter detection

## 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$^2$.

## Full text

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## Figures

15 figures with captions in the complete paper: https://tomesphere.com/paper/1902.11297/full.md

## References

54 references — full list in the complete paper: https://tomesphere.com/paper/1902.11297/full.md

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Source: https://tomesphere.com/paper/1902.11297