The Jet reconstruction Algorithm and the Jupyter Notebooks for plotting and comparing results with the data from the ATLAS Detector,CERN(PLB 790 108 (2019)).

In medium gluon evolution equations to study jet quenching in heavy ion collisions.

Rafelski, J., Birrell, J., Grayson, C. et al. Quarks to Cosmos:. Eur. Phys. J. Spec. Top. 234, 1125–1329 (2025).

Rafelski, J., Birrell, J., Steinmetz, A. and Yang, C.T. A short survey of matter-antimatter evolution in the primordial universe. Universe 9.7 (2023): 309.

Steinmetz, A., Rafelski, J. Short note on spin magnetization in QGP. Eur. Phys. J. Spec. Top. 234, 2919–2929 (2025).

Machine Learning Applied to Relativistic Heavy Ion Collision

Code used in analysis of uncorrelated double quarkonioum production.

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.

DongJo Kim's GitHub page

Toolkit for thermal/femtoscopic heavy-ion calculations in modern C++