Göttingen 2025 – wissenschaftliches Programm
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T: Fachverband Teilchenphysik
T 61: Methods in Particle Physics III (Tracking)
T 61.5: Vortrag
Mittwoch, 2. April 2025, 17:15–17:30, VG 4.101
Studies of a New Track Fitting Algorithm for the ATLAS Event Filter — Abhirikshma Nandi1, •André Schöning1, Sebastian Dittmeier1, and Christof Sauer2 — 1Physikalisches Institut, Universität Heidelberg, Heidelberg, Germany — 2CERN, Geneva, Switzerland
The ATLAS experiment is going through a comprehensive set of upgrades in preparation for data taking at the High-Luminosity Large Hadron Collider. The Trigger and Data Acquisition (TDAQ) systems are being upgraded to handle an increased trigger rate and run more sophisticated algorithms online to retain performance in the face of increased event complexity.
The ATLAS Event Filter (EF) - running on commercial, potentially heterogeneous computing hardware - has to provide the second level of filtering, reducing the Level-0 trigger rate of 1 MHz to 10 KHz for storage. To this end, it is required to perform track reconstruction (EF Tracking) for the entire Inner Tracker (ITk) at a maximum rate of 150 kHz.
A new, parallelizable track fit, based on triplets of hits, is being studied for EF Tracking - with the aim to gain from parallel hardware, like GPUs. The General Triplet Track Fit (GTTF) is a generalization of the Multiple Scattering-only triplet fit, developed originally for the Mu3e experiment, by including hit uncertainties. The results from the studies of the GTTF will be summarized along with an overview of the work in the broader context of the EF Tracking project.
Keywords: Track reconstruction; Track fitting; Trigger & Data Acquisition; Parallel algorithms; Graphics Processing Units (GPUs)