Toward constraining QCD phase transitions in neutron star interiors: Bayesian inference with a Tolman-Oppenheimer-Volkof linear response analysis

• Shuzhe Shi (Tsinghua University)

Room: Room 409

Inferring the Equation of State from Neutron Star Observables via Machine Learning

• NARESH KUMAR PATRA (BITS Pilani K K Birla Goa Campus, NH-B, South Goa, Goa, Pin-757040)

Room: Room 409

Panel discussion Room: Room 409

Bayesian inference in heavy ion collisions

• Wilke Van Der Schee (CERN / Utrecht University)

Room: Room 409

Special Colloquium: From Quarks to Neutron Stars

• Tetsuo Hatsuda (RIKEN iTHEMS)

Room: Room 409

Bayesian and frequentist model comparison for nuclear symmetry energy

• Zhen Zhang (SYSU)

Room: Room 409

Calibration of rapidity dependent mulitplicities using a three-dimensional initial state model

• Andreas Kirchner (Duke University)

Room: Room 409

Hadron-Hadron Interaction from Lattice QCD: Theory meets experiments

• Tetsuo Hatsuda (RIKEN iTHEMS)

Room: Room 409

High-Dimensional Unfolding in Large Backgrounds

• Adam Takacs (Heidelberg University)

Room: Room 409

Quantifying the impact of longitudinal information on ultra-relativistic collision measurement across systems at the RHIC top energy with a 3D Bayesian calibration

• Andi Mankolli (Vanderbilt University)

Room: Room 409

Emergence and quantification of collective effects across collision systems

• Jasper Parkkila (Warsaw University of Technology)

Room: Room 409

Extreme QCD matter exploration with machine learning

• 凯 周 (CUHK-Shenzhen)

Room: Room 409

Quantifying the role of strangeness in baryon production mechanisms through angular correlations in pp collisions at 13.6 TeV with ALICE 2

• Shirajum Monira (Warsaw University of Technology)

Room: Room 409

Deep generative event-by-event heavy-ion simulations for next-generation experiments

• Manjunath Omana Kuttan (Frankfurt Institute for Advanced Studies )

Room: Room 409

High-energy experimental imaging of nuclear shapes for precise constraints on QGP initial conditions

• Chunjian Zhang (Fudan University)

Room: Room 409

Statistical Analysis of Energy Loss Across System Size

• Coleridge Faraday (University of Cape Town)

Room: Room 409

Panel discussion Room: Room 409

Neural network enhanced Bayesian analysis of heavy-ion observables

• Henry Hirvonen (Vanderbilt University)

Room: Room 409

Event-by-event jet-induced hydrodynamic response from machine learning

• Kaiyi Wu (CCNU)

Room: Room 409

Panel discussion Room: Room 409

Extract QCD speed of sound in the presence of quantum fluctuations

• Yushan Mu (Fudan)

Room: Room 409

Resolving the flow puzzle in relativistic heavy ion collisions with detailed nuclear structure

• Haojie Xu (Huzhou University)

Room: Room 409

Shear and bulk viscosities of gluon plasma across the transition temperature

• Zhang Cheng (CCNU)

Room: Room 409

An end-to-end generative diffusion model for high-energy heavy-ion collisions

• Li Yan (复旦大学)

Room: Room 409

Panel discussion Room: Room 409

Open challenges for Bayesian inference in heavy-ion collisions

• Raymond Ehlers (UC Berkeley)

Room: Room 409

Constraining the Vacuum–Medium Transition with Hadron and Jet $R_{AA}$ and Substructure (EEC)

• Lin Li (CCNU)

Room: Room 409