An intuitive visualization of vector fields.
- Updated
Dec 16, 2022 - Python
An intuitive visualization of vector fields.
We present a novel reverse reconstruction method that predicts the QCD critical point at $T = 151$ MeV, $\mu_B = 364$ MeV from fundamental physical constants. Our approach shows excellent agreement with LHC data and provides testable predictions for CERN's recent oxygen-proton collision program.
Reproducible implementation of pure-compound and mixture critical point, and composition-dependent binary critical loci calculations with PC-SAFT EOS using Newton–Raphson (NR) and Global Optimization (GO) methods.
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