Bayesian parameter estimation for PbPb at sqrts= 5 TeV Using an SPH hydrodynamic code

23 Jun 2026, 19:40
20m
Garland 064

Garland 064

Poster presentation Poster session

Speaker

Surkhab Kaur

Description

We present a preliminary Bayesian parameter estimation study of Pb+Pb collisions at √sₙₙ = 5.02 TeV using the NuclearConfectionery framework, which combines Trento initial conditions, CCAKE 2.0 viscous hydrodynamics, BQSSampler particlization, and the SMASH hadronic afterburner. Gaussian Process Emulators trained on 176 design points were used to model charged-particle multiplicities, mean transverse momentum, and flow harmonics. Posterior distributions obtained through MCMC sampling indicate that the shear viscosity η/s and nucleon width are reasonably constrained, while the freeze-out temperature remains weakly constrained. These results provide a baseline for future higher-statistics analyses.

Is this an experimental talk? No
Is this on behalf of a collaboration? No
Are you willing to present as a poster if it is not selected for oral presentation? Yes

Author

Surkhab Kaur

Co-authors

Ms Isabella Danhoni Prof. Jacquelyn Noronha-Hostler (University of Illinois Urbana Champaign) Kevin P. Pala

Presentation materials