P

python

A NanoAOD to Analysis NTuple Framework, based on RDataFrame, C++ and 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 Python library for evaluating the performance of track reconstruction algorithms

This project has 2 basic python files to measure data on the SCB and study the results (data analysis). In addition, the project has an Arduino code used to control the multiplexer address in the VRB

Python wrapper for COOL which does not depend on PyROOT.

Previous home of this project was at https://gitlab.cern.ch/atlas-online-lumi/coldpie, migrated to atlas-tdaq-software on May 2, 2019.