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.

SModelS

ALICE environment in a container 🐳

Smooth inference for reinterpretation studies

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.

BU HEP analysis code based on the coffea framework.

Additional tools for particle accelerator data analysis and machine information

D<ee>p Learning [dev library]

Simple CERN vistars viewer

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

Using Machine Learning to Simulate Distributions of Observables at the Large Hadron Collider

ALICE jet-hadron analysis code

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

Bruteforce the LHC's BLM headers.

(hopefully) correct LHC BLM headers throughout the ages.

Trigger menu HTML report generator

L1 Trigger menu VHDL producer

A package to handle cross-section grid data

Signal processing techniques to find accelerator's tune and test how this tune changes due to some parameters. FFT and NAFF algorithms were used.