Measurement of the Underlying Event and Minimum Bias at LHC

TL;DR

This paper investigates the underlying event and minimum bias phenomena at the LHC using CMS and ATLAS data, aiming to differentiate QCD models and improve Monte Carlo simulations for proton-proton collisions at 14 TeV.

Contribution

It provides a comparative analysis of QCD models with different multiple parton interaction schemes using early LHC data.

Findings

Discriminates between QCD models based on charged particle data

Highlights differences in model predictions when extrapolated to LHC energies

Supports tuning of Monte Carlo models for accurate LHC simulations

Abstract

A study of Underlying Events (UE) and Minimum Bias (MB) at Large Hadron Collider (LHC)with CMS and ATLAS detector under nominal conditions is discussed. Using charged particle and charged particle jets, it will be possible to discriminate between various QCD models with different multiple parton interaction schemes, which correctly reproduce Tevatron data but give different predictions when extrapolated to the LHC energy. This will permit improving and tuning Monte Carlo models at LHC start-up, and opens prospects for exploring QCD dynamics in proton-proton collisions at 14TeV.