Quantifying properties of hot and dense QCD matter through systematic model-to-data comparison
This repository contains all relevant code and data for the above paper. In principle, anyone can completely reproduce the results:
- Requirements: Python 3 with numpy, scipy, matplotlib, emcee, george, and my custom library mtd.
- Run the
- Run the emulator+MCMC analysis.
Unless you have a very fast CPU, a lot of memory, and scipy compiled with Intel MKL, it will probably take prohibitively long to reproduce the level of statistics in the paper.
mcmc/train-and-calibrateon line 163 to reduce the number of MCMC steps; try
nwalkers=100, nsteps=1000, nburnsteps=500. Then run
./train-and-calibrate glbto perform the analysis for the Glauber model and once again
./train-and-calibrate klnfor KLN.
- Generate plots and tables with
- Compile the PDF normally.
Alternatively, feel free to contact me for the original high-statistics MCMC data.