Bayesian Parameter Estimates for Relativistic Heavy-Ion Collisions

Data supporting Bayesian parameter estimation of a computational model for relativistic heavy-ion collisions, as described in the author's dissertation. The repository contains parameter design files, model calculations, experimental data, and posterior distribution samples. It is intended for use with the associated analysis code from Duke University.

Use Cases

• Bayesian parameter estimation of the specific shear and bulk viscosity based on the provided computational model and experimental data.
• Reproducing the MCMC sampling results for the quark-gluon plasma model using the included posterior chain.
• Analyzing relativistic heavy-ion collision simulations using the parameter design and model calculation files.

Strengths

• Data is directly linked to a peer-reviewed dissertation (arXiv:1804.06469) for verification.
• Includes both raw model outputs and processed posterior distribution samples from MCMC.
• Provided in multiple formats (joblib pickle and HDF5) for different use cases.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Jonah E. Bernhard, associated with Duke University.

Collection Method

Generated by a computational collision model (hic-eventgen) and post-processed with Bayesian analysis code (hic-param-est).