Abstract

One of the first measurements that will be made at the LHC by ATLAS deals with the properties of inelastic collisions, namely the central charged particle density and transverse momentum distributions. Current predictions of these distributions have large uncertainties in the LHC energy range. We describe the ATLAS minimum bias triggers, designed to select all kind of inelastic interactions, and the performance of the track reconstruction software which was adapted to soft particle track reconstruction. The precision with which the minimum bias distributions can be measured with early data is presented and the uncertainties on the inelastic distributions due to trigger bias is discussed.

Highlights

  • ATLAS is one of the four major experiments at the Large Hadron Collider (LHC)

  • Searches for Higgs bosons of masses up to the electroweak energy scale of 1 TeV, possible deviations from the Standard Model and unknown signatures are the objectives of the ATLAS physics program

  • This paper focuses on early measurements of the properties of inelastic interactions

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Summary

Introduction

ATLAS is one of the four major experiments at the Large Hadron Collider (LHC). The machine operation has successfully re-started in November 2009, providing proton-proton collisions to the four experiments. Searches for Higgs bosons of masses up to the electroweak energy scale of 1 TeV, possible deviations from the Standard Model and unknown signatures are the objectives of the ATLAS physics program. Their studies and expectations can be found in ref.[1]. ATLAS √has the potential already at initial lower energies of s = 7 and 10 TeV and luminosities of L = 1031 cm−2s−1, to improve the knowledge of the inelastic scattering processes and of the multi-parton interactions by performing measurements of interactions with a small momentum transfer. Analyses are the main hadron studies of soft interactions with early data. The studies of the kinematic spectra of charged particle distributions dNch/dpT and dNch/dη are presented

Minimum Bias Analysis
Monte Carlo Predictions
Analysis Procedure
Minimum Bias Trigger
Event and Track Selection
Corrections
Underlying Event
Analysis Goals
Conclusion
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