O3 Published presentation
Improving Bayesian parameter estimation with the latest RHIC and LHC data including a new initial conditions model (2023)


Kim, D. J., Virta, M., & Parkkila, J. (2023). Improving Bayesian parameter estimation with the latest RHIC and LHC data including a new initial conditions model. In The 38th Winter Workshop on Nuclear Dynamics. https://indico.cern.ch/event/1196342/contributions/5228296/


JYU authors or editors


Publication details

All authors or editors: Kim, Dong Jo; Virta, Maxim; Parkkila, Jasper

Parent publication: The 38th Winter Workshop on Nuclear Dynamics

Place and date of conference: Puerto Vallarta, Mexico, 5.-11.2.2023

Publication year: 2023

Publication date: 08/02/2023

Publication language: English

Persistent website address: https://indico.cern.ch/event/1196342/contributions/5228296/

Publication open access: Openly available

Publication channel open access: Open Access channel

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/86151


Keywords: particle physics; quark-gluon plasma; quantum chromodynamics


Contributing organizations


Ministry reporting: Won't be reported


Last updated on 2024-02-07 at 23:26