activity
20172026
most citedTheoretical and Experimental Constraints for the Equation of State of Dense and Hot Matter

87 citations · 290 across the 38 of their papers we have counts for

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32 papers · 1 filter

nucl-th2026

MUSES workflows for pQCD constraints on dense matter with finite quark masses

Isabella Danhoni, Mateus Reinke Pelicer, Débora Mroczek +3

We present a modular implementation of next-to-leading order (NLO) perturbative QCD (pQCD) thermodynamics with finite strange quark mass in the MUSES Calculation Engine, enabling r…

nucl-th2026

Thermodynamically Consistent Merging of Multidimensional QCD Equations of State

Prachi Garella, Yumu Yang, Musa R. Khan +7

We present a thermodynamically consistent framework for merging complementary models into a multidimensional QCD equation of state. An internal mixing variable is determined by min…

nucl-th2026

QCD critical surface from constant entropy contours

Hitansh Shah, Tristan Gyure, Anabella Leon +4

We provide the first mapping of the critical surface in (2+1)-flavor QCD in the full space, anchored on lattice QCD results at vanishing chemical potentials and o…

nucl-th2026

Studying the QCD Matter produced in Heavy-Ion Collisions using the MUSES Calculation Engine

Johannes Jahan, Kevin P. Pala, Yumu Yang +42

The equation of state of hot and dense matter is essential for describing heavy-ion collisions at all collision energies. Here, we explore the capabilities of the latest version of…

nucl-th2026

Uncertainty quantification of holographic transport and energy loss for the hot and baryon-dense QGP

Musa R. Khan, Ayrton Nascimento, Yumu Yang +5

We investigate several transport coefficients across the phase diagram of a holographic Einstein-Maxwell-Dilaton (EMD) model of hot and dense QCD with flavors. Our result…

nucl-th2026

Merging multidimensional equations of state of strongly interacting matter via a statistical mixture

Yumu Yang, Prachi Garella, Musa R. Khan +7

We introduce a general method to merge multidimensional equations of state (EoSs) by combining them in a two-fluid equilibrium statistical mixture in the grand canonical ensemble.…