2012/01/26 by P. Papacz, Paul Papacz, Papacz, Paul
Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #Distributed and Parallel Computing Systems #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #Particle physics theoretical and experimental studies #hep-ex
paper · pdf · doi:10.48550/arxiv.1201.5577
arxiv created 2012/01/26 · openalex publication_date 2012/01/26 · arxiv updated 2019/08/13 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We present the results of the Model Unspecific Search in CMS (MUSiC), which systematically scans the data taken by the CMS detector for deviations from the Standard Model predictions. Due to the minimal theoretical bias this approach is sensitive to a variety of models for new physics. Events containing at least one electron or muon are classified according to their content of reconstructed objects (muons, electrons, photons, jets and missing transverse energy). A broad scan of three kinematic distributions in those classes is performed by identifying deviations from Standard Model expectations, accounting for systematic uncertainties. In this particular search data taken by CMS in the year 2010, corresponding to an integrated luminosity of 36.1/pb, have been analysed.