3D Multi-system Bayesian Calibration with Energy Conservation to Study Rapidity-dependent Dynamics of Nuclear Collisions
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arXiv
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| Natura: | Preprint |
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2023
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| 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 |
| author_facet | 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 |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_00402 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | 3D Multi-system Bayesian Calibration with Energy Conservation to Study Rapidity-dependent Dynamics of Nuclear Collisions 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 Nuclear Theory High Energy Physics - Phenomenology Nuclear Experiment 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. |
| title | 3D Multi-system Bayesian Calibration with Energy Conservation to Study Rapidity-dependent Dynamics of Nuclear Collisions |
| topic | Nuclear Theory High Energy Physics - Phenomenology Nuclear Experiment |
| url | https://arxiv.org/abs/2401.00402 |