Probing the Structure of a Perfect Liquid Using Jets and Machine Learning
Aaron Angerami | 20-ERD-041
To improve our understanding of quark–gluon plasma ("the perfect liquid"), we will develop a new particle reconstruction method that employs artificial intelligence and use it to analyze jet quenching data from relativisitic heavy ion collisions. This research addresses Department of Energy goals in nuclear science and will expand our knowledge of the fundamental forces in nature and the properties of the early universe.
Publications, Presentations, and Patents
ATLAS Collaboration, "Two-particle azimuthal correlations in photonuclear ultraperipheral Pb+Pb collisions at 5.02 TeV with ATLAS," Phys. Rev. C 104 (2021) 014903, arXiv:2101.10771 [nucl-ex]. LLNL-JRNL-826352.
ATLAS Collaboration, "Exclusive dimuon production in ultraperipheral Pb+Pb collisions at 5.02 TeV with ATLAS," arXiv:2011.12211 [nucl-ex]. LLNL-JRNL-826353.
ATLAS Collaboration, "Measurement of the nuclear modification factor for muons from charm and bottom hadrons in Pb+Pb collisions at 5.02 TeV with the ATLAS detector," arXiv:2109.00411 [nucl-ex]. LLNL-JRNL-826354.