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This is the FTAG (training) dataset dumpster (aka TDD). We use it to run away from the ATLAS EDM into the land of H5.

Multimodal and Multiclass Machine Learning for High Energy Physics

Home of the Stripping packages. Documentation can be found at http://lhcbdoc.web.cern.ch/lhcbdoc/stripping/.

Further information on the DPA page https://lhcb-dpa.web.cern.ch/lhcb-dpa/wp5/index.html.

CMS Tracker Phase2 Acquisition & Control Framework: https://ph2acf.docs.cern.ch/

An extensive common, ROOT-based framework targeted at histogramming, nTuple and xAOD analysis with bindings to C++ and python.

Find code documentation under http://atlas-caf.web.cern.ch

Mailing list: qframework-users@cern.ch

Sub-project part of the LHCb physics analysis software project DaVinci. See http://cern.ch/lhcbdoc/phys/ for details.

Python to FESA/LSA/INCA interface via JAPC https://acc-py.web.cern.ch/gitlab/scripting-tools/pyjapc/docs/stable/

This project is built on top of the Gaudi, LHCb, Lbcom, Rec and Phys projects. It contains components related to trigger. See documentation at http://cern.ch/lhcbdoc/hlt/ . Warning: For upgrade developments go to https://gitlab.cern.ch/lhcb/Moore.

Higgs to diphoton nanoAOD framework. Docs

The Maelstrom for Your Test Beam Data - http://cern.ch/corryvreckan

Description of the LHCb Upgrade detector using the DD4hep framework

Tools and classes to control Lab equipment

Sub-project part of the LHCb physics analysis software project DaVinci. See http://cern.ch/lhcbdoc/analysis/ for details.

EOS project.

RooUnfold is a framework for unfolding within the ROOT environment, implementing a number of specific algorithms.

This project contains classes and configuration for the LHCb digitization programme Boole. Documentation can be found at http://cern.ch/lhcbdoc/boole/