학술논문
3D Multi-system Bayesian Calibration with Energy Conservation to Study Rapidity-dependent Dynamics of Nuclear Collisions
Document Type
Working Paper
Author
Mankolli, Andi; Angerami, Aaron; Arora, Ritu; Bass, Steffen; Cao, Shanshan; Chen, Yi; Du, Lipei; Ehlers, Raymond; Elfner, Hannah; Fan, Wenkai; Fries, Rainer J.; Gale, Charles; He, Yayun; Heinz, Ulrich; Jacak, Barbara; Jacobs, Peter; Jeon, Sangyong; Ji, Yi; Kasper, Lauren; Kordell II, Michael; Kumar, Amit; Kunnawalkam-Elayavalli, R.; Latessa, Joseph; Lee, Sook H.; Lee, Yen-Jie; Liyanage, Dananjaya; Luzum, Matt; Majumder, Abhijit; Mak, Simon; Martin, Christal; Mehryar, Haydar; Mengel, Tanner; Mulligan, James; Nattrass, Christine; Paquet, Jean-Francois; Parker, Cameron; Putschke, Joern H.; Roland, Gunther; Schenke, Bjoern; Schwiebert, Loren; Sengupta, Arjun; Shen, Chun; Sirimanna, Chathuranga; Soltz, Ron A.; Soudi, Ismail; Strickland, Michael; Tachibana, Yasuki; Velkovska, Julia; Vujanovic, Gojko; Wang, Xin-Nian; Zhao, Wenbin
Source
Subject
Language
Abstract
Considerable information about the early-stage dynamics of heavy-ion collisions is encoded in the rapidity dependence of measurements. To leverage the large amount of experimental data, we perform a systematic analysis using three-dimensional hydrodynamic simulations of multiple collision systems -- large and small, symmetric and asymmetric. Specifically, we perform fully 3D multi-stage hydrodynamic simulations initialized by a parameterized model for rapidity-dependent energy deposition, which we calibrate on the hadron multiplicity and anisotropic flow coefficients. We utilize Bayesian inference to constrain properties of the early- and late- time dynamics of the system, and highlight the impact of enforcing global energy conservation in our 3D model.