Model Unspecific Search in CMS

TL;DR

This paper introduces a model-independent analysis method for CMS data, systematically searching for deviations from Standard Model predictions across various event classes and kinematic distributions, with minimal theoretical bias.

Contribution

It presents a broad, systematic scan approach that is sensitive to diverse new physics models by analyzing multiple event classes and distributions with minimal theoretical assumptions.

Findings

Identified deviations from Standard Model in certain event classes.

Demonstrated the effectiveness of a model-independent search strategy.

Provided constraints on potential new physics signals.

Abstract

We present the results of a model independent analysis, which systematically scans the data taken by CMS 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 with 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.