Jet Reconstruction in Heavy Ion Collisions

TL;DR

This paper evaluates various jet reconstruction algorithms in heavy-ion collisions, demonstrating that anti-kt and filtered Cambridge/Aachen algorithms outperform others in accuracy and stability using Monte Carlo simulations.

Contribution

It provides a comparative analysis of jet algorithms with background subtraction techniques specifically for heavy-ion collision environments.

Findings

Anti-kt and filtered Cambridge/Aachen algorithms show superior performance.

Most standard algorithms perform well under heavy-ion collision conditions.

The study uses Monte Carlo simulations to assess algorithm effectiveness.

Abstract

We examine the problem of jet reconstruction at heavy-ion colliders using jet-area-based background subtraction tools as provided by FastJet. We use Monte Carlo simulations with and without quenching to study the performance of several jet algorithms, including the option of filtering, under conditions corresponding to RHIC and LHC collisions. We find that most standard algorithms perform well, though the anti-kt and filtered Cambridge/Aachen algorithms have clear advantages in terms of the reconstructed transverse-momentum offset and dispersion.