Particle track reconstruction is the most computationally intensive process in nuclear physics experiments. Traditional algorithms use a combinatorial approach that exhaustively tests measurements (“hits”) to identify those form an actual particle trajectory . In this article, we describe development of four machine learning (ML) models assist tracking algorithm by identifying valid candidates ...

Efficient charged particle tracking and high momentum resolution are central performance requirements of the CBM Silicon Tracking System (STS). The aim of the ongoing layout studies is to design a highly granular and lowmass detector system which can track up to 1000 charged particles that are typically generated in one central Au+Au collision at 25 GeV/u projectile energy. A low-mass detector ...

The ATLAS Pixel Detector is the innermost layer of the ATLAS tracking system and will contribute significantly to the ATLAS track and vertex reconstruction. The detector consists of identical sensor-chip-hybrid modules, arranged in three barrels in the centre and three disks on either side for the forward region. The position of the Pixel Detector near the interaction point requires excellent r...

Neutron detectors are an essential tool for the development of many research fields, as nuclear, particle and astroparticle physics well radiotherapy radiation safety. Since neutrons cannot directly ionize, their detection is only possible via nuclear reactions. Consequently, neutron-based experimental techniques related to charged or electromagnetic originating from neutron-induced The study f...

This document summarises the main changes to ATLAS experiment’s Inner Detector Track reconstruction software chain in preparation of LHC Run 3 (2022-2024). The work was carried out ensure that expected high-activity collisions with on average 50 simultaneous proton-proton interactions per bunch crossing (pile-up) can be reconstructed promptly using available computing resources. Performance fig...