jbernhard/mtd-paper
Quantifying properties of hot and dense QCD matter through systematic model-to-data comparison
Helper classes for Bayesian model-to-data comparison.
This repository is cataloged as part of our automated global GitHub synchronization. Full telemetry, velocity snapshots, and code summaries are scheduled for continuous enrichment.
Quantifying properties of hot and dense QCD matter through systematic model-to-data comparison
Simple UrQMD postprocessor.
Fast Gaussian Processes for regression
Anisotropic flow cumulants in Python.