Dataset of tau neutrino interactions recorded by the OPERA experiment

Giovanni De Lellis; Sergey Dmitrievsky; Giuliana Galati; Artemis Lavasa; Tibor Šimko; Ioannis Tsanaktsidis; Andrey Ustyuzhanin

doi:10.1051/epjconf/202024508013

All issues

Volume 245 (2020)

EPJ Web Conf., 245 (2020) 08013

Abstract

Open Access

Issue		EPJ Web Conf. Volume 245, 2020 24^th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)


Article Number		08013
Number of page(s)		7
Section		8 - Collaboration, Education, Training and Outreach
DOI		https://doi.org/10.1051/epjconf/202024508013
Published online		16 November 2020

EPJ Web of Conferences 245, 08013 (2020)
https://doi.org/10.1051/epjconf/202024508013

Dataset of tau neutrino interactions recorded by the OPERA experiment

Giovanni De Lellis¹^,2^,3, Sergey Dmitrievsky⁴, Giuliana Galati², Artemis Lavasa³, Tibor Šimko³^*, Ioannis Tsanaktsidis³ and Andrey Ustyuzhanin⁵^,6^,2

¹ Dipartimento di Fisica dell’Università Federico II di Napoli, I-80126 Napoli, Italy
² INFN - Sezione di Napoli, I-80126 Napoli, Italy
³ CERN - European Organization for Nuclear Research, Geneva, Switzerland
⁴ JINR - Joint Institute for Nuclear Research, RUS-141980 Dubna, Russia
⁵ HSE - National Research University Higher School of Economics, RUS-101000 Moscow, Russia
⁶ MISiS - National University of Science and Technology, RUS-119049 Moscow, Russia

^* e-mail: tibor.simko@cern.ch

Published online: 16 November 2020

Abstract

We describe the dataset of very rare events recorded by the OPERA experiment. The events represent tracks of particles associated with tau neutrino interactions coming from the transformation of muon neutrinos due to a process known as neutrino oscillations. The events have been published on the CERN Open Data Portal. We describe the dataset semantics and the interactive event display visualisation tool accompanying the data release.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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