An open-source machine learning framework for global analyses of parton distributions.

Backend for columnar, fully orchestrated HEP analyses with pure Python, law and order.

Colibri is an adaptable, open-source platform for flexible Parton Distribution Function (PDF) fitting. It is a reportengine app that performs PDF fits with any given parametrisation.

Additional tools for particle accelerator data analysis and machine information

LHC Run 3 Particle Physics Analysis — Relativistic kinematics, Higgs analysis, cross-section computation. ORION ecosystem.

Real-time LHC data streaming pipeline: C++ event generation, Apache Kafka streaming, Python physics triggers, and a live monitoring dashboard.

Smooth inference for reinterpretation studies

L1 Trigger menu VHDL producer

CMS Level-1 Trigger Menu Editor (TME)

SModelS

Trigger menu HTML report generator

Convenient data comparison for XML trigger menus

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.

Revolutionary method to derive fundamental physics parameters from observed constants using iterative backward-forward reconstruction. Predicting 31% Higgs coupling anomalies and new physics beyond Standard Model.

We present a **reverse reconstruction method**, which the 18 fundamental constants of the Standard Model from just 5 primordial parameters with 1-3% accuracy.

Semantic Search for LHCb papers on arxiv

PyTorch MLP for boosted W/Z→qq̄ jet tagging on ATLAS Open Data; compares to cuts and outputs ROC/purity plots.

Helper Functions for cpymad to run LHC optics

D<ee>p Learning [dev library]

A package to handle cross-section grid data