Hadronic Event-Shape Variables at CMS

TL;DR

This paper analyzes hadronic event-shape variables at the LHC using calorimetric jet data, demonstrating their robustness for early data analysis and Monte Carlo tuning.

Contribution

It introduces a method to study hadronic event shapes at the LHC and shows their stability under calibration variations, aiding early data interpretation.

Findings

Event-shape distributions are robust against jet energy scale variations.

Event-shape variables are suitable for early LHC data analysis.

These variables help tune Monte Carlo models effectively.

Abstract

In this note a study of hadronic event shapes in QCD events at the Large Hadron Collider (LHC) is presented. Calorimetric jet momenta, determined by various jet clustering algorithms, are used as input for calculating various event-shape variables which probe the structure of the hadronic final state. It is shown that the normalized event-shape distributions are robust under variations of the jet energy scale and resolution effects, which makes them particularly suitable for early data analysis and tuning of Monte Carlo models.