2012/08/07 by G. O. V. de Barros, Bo Fenton-Olsen, de Barros, G. O. V. +5
Computer Science · Physics and Astronomy · #Advanced Data Storage Technologies #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High-Energy Particle Collisions Research #Nuclear Experiment (nucl-ex) #Particle physics theoretical and experimental studies
paper · pdf · doi:10.48550/arxiv.1208.1518
openalex publication_date 2012/08/07 · openalex created_date 2022/09/25 · openalex updated_date 2026/07/28
We present data-driven methods for the full reconstruction of jets in heavy\nion collisions, for inclusive and co-incidence jet measurements at both RHIC\nand LHC. The complex structure of heavy ion events generates a large background\nof combinatorial jets, and smears the measured energy of the true hard jet\nsignal. Techniques to correct for these background effects can induce biases in\nthe reported jet distributions, which must be well controlled for accurate\nmeasurement of jet quenching. Using model studies, we evaluate the proposed\nmethods for measuring jet distributions accurately while minimizing the\nfragmentation bias of the measured population.\n