Bayesian analysis in a holographic model used to find the QCD critical point at finite strangeness.

Current work is being done for the Quantum Chromodynamics (QCD) critical point, but they are restricted by the range of densities possible from existing lattice QCD calculations. In order to circumvent this problem, 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 chemical potential, electric charge chemical potential and strangeness chemical potential. This model is constrained to replicate lattice QCD results for the thermodynamics at zero density, including the strangeness susceptibility, such that a critical point is predicted along the strangeness chemical potential axis. In this work, we use a Bayesian analysis to improve the fits of the thermodynamic variables to predict the location of this critical end point in the phase diagram at finite strangeness chemical potential.