Searching for a QCD critical point at finite strangeness densities using a Bayesian analysis in a holographic model

Currently searches are underway for the Quantum Chromodynamics (QCD) critical point, but they are hampered by the range of densities possible from existing lattice QCD calculations. To circumvent this issue, we use a holographic model of a 5-dimentional black hole to describe the QCD phase diagram, which includes hadrons in a gas and deconfined quarks and gluons known as quark gluon plasma (QGP). The QCD phase diagram has four thermodynamic dimensions: temperature, baryon number, electric charge and strangeness chemical potential. This model is constrained to replicate lattice QCD results for the thermodynamics at zero density, but including the susceptibility to a strangeness chemical potential, such that a critical point is predicted along the strangeness axis. In this work, we use a Bayesian analysis to improve the fits of the thermodynamic variables to find the location of this critical end point in the phase diagram at finite strangeness chemical potential.