MUSiC: a model-unspecific search for new physics in proton–proton collisions at √s=13TeV
Document Type
Article
Abstract
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 13TeV, corresponding to an integrated luminosity of 35.9fb-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.
Department(s)
Physics and Engineering
Publication Title
European Physical Journal C
Volume
81
Issue
7
Publication Date
7-1-2021
DOI
10.1140/epjc/s10052-021-09236-z
ISSN
14346044
E-ISSN
14346052
Recommended Citation
The CMS Collaboration; Sirunyan, A. M.; Tumasyan, A.; Adam, W.; Ambrogi, F.; Bergauer, T.; and Hogan, Julie M., "MUSiC: a model-unspecific search for new physics in proton–proton collisions at √s=13TeV" (2021). Physics and Engineering Faculty Publications. 88.
https://spark.bethel.edu/physics-faculty/88
Comments
The CMS Collaboration includes over 100 authors. This record includes the Bethel author and the first 5 authors listed. The full list of authors can be viewed on the downloaded document or at the original publisher's website - https://doi.org/10.1140/epjc/s10052-021-09236-z