Model Unspecific Search for New Physics in CMS with 2010 LHC Data
Paul Papacz (for the CMS Collaboration)

TL;DR
This paper introduces MUSiC, a broad, model-independent search method applied to 2010 CMS data, systematically scanning for deviations from the Standard Model across various event classes and kinematic distributions.
Contribution
The paper presents a novel, minimally biased search strategy for new physics using CMS data, capable of detecting a wide range of potential deviations from the Standard Model.
Findings
No significant deviations found in the 2010 CMS data
Method demonstrates sensitivity to various new physics models
Framework can be applied to future larger datasets
Abstract
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.
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Taxonomy
TopicsParticle physics theoretical and experimental studies · Distributed and Parallel Computing Systems · Computational Physics and Python Applications
