Abstract

Reconstruction of charged particles’ trajectories is a crucial task for most particle physics experiments. The high instantaneous luminosity achieved at the LHC leads to a high number of proton-proton collisions per bunch crossing, which has put the track reconstruction software of the LHC experiments through a thorough test. Preserving track reconstruction performance under increasingly difficult experimental conditions, while keeping the usage of computational resources at a reasonable level, is an inherent problem for many HEP experiments. Exploiting concurrent algorithms and using multivariate techniques for track identification are the primary strategies to achieve that goal.Starting from current ATLAS software, the ACTS project aims to encapsulate track reconstruction software into a generic, framework- and experiment-independent software package. It provides a set of high-level algorithms and data structures for performing track reconstruction tasks as well as fast track simulation. The software is developed with special emphasis on thread-safety to support parallel execution of the code and data structures are optimised for vectorisation to speed up linear algebra operations. The implementation is agnostic to the details of the detection technologies and magnetic field configuration which makes it applicable to many different experiments.

Highlights

  • The reconstruction of trajectories of charged particles, in the following referred to as track reconstruction, is one of the the most complex and CPU consuming parts of event reconstruction in high energy physics experiments

  • The event pileup increased significantly and has put pressure on the CPU consumption of ATLAS [5] and CMS [6]. Both experiments have undergone recent software campaigns in order to optimise their event reconstruction software where a speedup factor of up to 5 could be achieved [7]. Future scenarios such as the High-Luminosity LHC or the Future Circular Collider project will require a shift in paradigm of track reconstruction software in order to cope with event pile-up of up to 1000 instantaneous collisions

  • The A Common Tracking Sofware (ACTS) reconstruction geometry follows the concepts of the ATLAS Tracking Geometry library [9]

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Summary

Introduction

The reconstruction of trajectories of charged particles, in the following referred to as track reconstruction, is one of the the most complex and CPU consuming parts of event reconstruction in high energy physics experiments. The event pileup increased significantly and has put pressure on the CPU consumption of ATLAS [5] and CMS [6] Both experiments have undergone recent software campaigns in order to optimise their event reconstruction software where a speedup factor of up to 5 could be achieved [7]. Future scenarios such as the High-Luminosity LHC or the Future Circular Collider project will require a shift in paradigm of track reconstruction software in order to cope with event pile-up of up to 1000 instantaneous collisions. It is designed to have minimal external dependencies and all modules are tested for thread-safety and code compliance with the C++14 standard

Tracking geometry
Seed finding
Track parameter propagation
Result
Track fitting
Plugins
Summary
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