2019/10/18 by Izaac Sanderswood, Sanderswood, Izaac · 3 citations
Medicine · Physics and Astronomy · #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #Medical Imaging Techniques and Applications #Particle Detector Development and Performance #Particle physics theoretical and experimental studies #hep-ex
paper · pdf · doi:10.48550/arxiv.1910.08405
Submitted to the proceedings of "Connecting the Dots and Workshop on Intelligent Tracks (CTD/WIT 2019)"; 6 pages, 10 figures
arxiv created 2019/10/18 · openalex publication_date 2019/10/18 · arxiv updated 2019/10/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Increasing luminosity at the Large Hadron Collider (LHC) poses a challenge for primary vertex reconstruction in the ATLAS experiment. A rate of 70 or more inelastic proton-proton collisions per beam crossing was observed during the recently-completed Run 2 and even higher vertex density, or pile-up, is expected in Run 3. To meet this challenge, ATLAS has developed new tools: a Gaussian track density seed finder and an adaptive multi-vertex finder. The former constructs a simple but powerful analytic model of the track density along the beam axis to locate candidate vertices, and the latter applies a global approach to vertex finding and fitting, allowing vertices to compete for nearby tracks. These proceedings document the strategy, optimization and preliminary performance of this new vertex reconstruction software, highlighting improvements in vertex finding efficiency, purity and spatial resolution under Run 3 pile-up conditions.