P

python

High-performance density-based weighted clustering library developed at CERN

Framework for manipulating, analyzing, and visualizing data and Monte Carlo simulations in processes involving two leptons in the final state. Includes examples and descriptions for each component.

Code to run after a .sim file from Simulation is produced to

emulate digitisation, track fits, pattern recognition and performance, vertexing, generic studies and inspection of simulated files.

All code is python based and ship the LHCb event into pandas dataframe for processing.

A NanoAOD to Analysis NTuple Framework, based on RDataFrame, C++ and Python

AvailSim4 is a software to predict estimated reliability and availability of modern particle accelerators and related technical systems.

Docker image for a Dashboard ETL worker - contains software performing NXCALS extractions and ETL transformations (using SciPy, Pandas etc...)

Adapter between pyJAPC-Accessible devices and a PostgreSQL / TimescaleDB database, to facilitate and ease the continuous monitoring of LHC devices via Grafana and other systems.

Manual of the VLDB+ control toolkit

Track reconstruction in the Velo, using the tools of Exa.TrkX

Fast Calorimeter Shower Simulation with Diffusion Models