Track and Vertex Reconstruction with the ATLAS Inner Detector

TL;DR

This paper details the algorithms and software used for charged-particle and primary vertex reconstruction in the ATLAS Inner Detector, demonstrating high efficiency and accuracy across multiple data-taking runs.

Contribution

It presents the latest software configuration and performance results for track and vertex reconstruction in the ATLAS detector during Run 2 and Run 3.

Findings

High reconstruction efficiency maintained across multiple interactions

Good resolution for key parameters achieved

Low mis-reconstruction rates for Run 2 and Run 3 data

Abstract

Charged-particle reconstruction is a fundamental part of the event reconstruction in modern multi-purpose high-energy physics detectors. This paper describes the algorithms used to reconstruct charged particles and primary vertices with the ATLAS Inner Detector. The most recent software configuration deployed for data-taking is described, and the performance obtained when this software is used to process Run 2 (2015-2018) data, a subset (from 2022) of Run 3 (2022-2026) data, and corresponding simulated data is presented. The ATLAS track and vertex reconstruction performance is shown for up to 80 simultaneous proton-proton interaction. It maintains a high efficiency, good resolution for key parameters, and low rates of mis-reconstructed candidates for Run 2 and Run 3 conditions.