We are a particle physics research group in the Brown University Department of Physics, making contributions to the CMS Experiment at CERN, and developing tools for future particle physics experiments.
Our research involves making precision measurements that test cutting-edge theoretical predictions, developing advanced techniques for reconstructing and calibrating hadronic objects in CMS, and leveraging AI to improve computational workflows at the LHC and beyond.
A julia-based OT solver for high-energy particle physics, inspired by the EnergyFlow package.
Julia 3
Forked from JuliaHEP/JetReconstruction.jl
Jet reconstruction (reclustering) with Julia
Julia 1
Module on optimal transport for Brown AI Winter School.
Jupyter Notebook 1
A julia-based OT solver for high-energy particle physics, inspired by the EnergyFlow package.
Fork of rivet-bootstrap, modified to get a coherent environment that functions with apprentice for MC tuning.
Jet reconstruction (reclustering) with Julia
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