MUSiC: a model-unspecific search for new physics in proton-proton collisions at √s=13TeV; European Physical Journal C; Vol. 81, iss. 7

MUSiC: a model-unspecific search for new physics in proton-proton collisions at √s=13TeV; European Physical Journal C; Vol. 81, iss. 7

Bibliographic Details
Parent link:European Physical Journal C
Vol. 81, iss. 7.— 2021.— [629, 49 p.]
Corporate Author: Национальный исследовательский Томский политехнический университет Исследовательская школа физики высокоэнергетических процессов
Other Authors: Sirunyan A. M., Tumasyan A. R., Adam W. Wolfgang, Tyurin N. E. Nikolay Evgenjevich, Babaev A. A. Anton Anatoljevich, Okhotnikov V. V. Vitaly Vladimirovich, Sukhikh L. G. Leonid Grigorievich
Summary:Title screen
Results of the Model Unspecific Search in CMS (MUSiC), using proton-proton collision data recorded at the LHC at a centre-of-mass energy of 13TeVTeV, corresponding to an integrated luminosity of 35.9fb−1fb−1, are presented. The MUSiC analysis searches for anomalies that could be signatures of physics beyond the standard model. The analysis is based on the comparison of observed data with the standard model prediction, as determined from simulation, in several hundred final states and multiple kinematic distributions. Events containing at least one electron or muon are classified based on their final state topology, and an automated search algorithm surveys the observed data for deviations from the prediction. The sensitivity of the search is validated using multiple methods. No significant deviations from the predictions have been observed. For a wide range of final state topologies, agreement is found between the data and the standard model simulation. This analysis complements dedicated search analyses by significantly expanding the range of final states covered using a model independent approach with the largest data set to date to probe phase space regions beyond the reach of previous general searches.
Режим доступа: по договору с организацией-держателем ресурса
Language:English
Published: 2021
Subjects:
электронный ресурс
труды учёных ТПУ
Online Access:http://earchive.tpu.ru/handle/11683/72489
https://doi.org/10.1140/epjc/s10052-021-09236-z
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=667012

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