fast-carpenter 0.14.1

F.A.S.T. package for summarizing ROOT TTrees

fast-carpenter

Turns your trees into tables (ie. reads ROOT TTrees, writes summary Pandas DataFrames)

fast-carpenter can:

• Be controlled using YAML-based config files

• Define new variables

• Cut out events or define phase-space “regions”

• Produce histograms stored as CSV files using multiple weighting schemes

• Make use of user-defined stages to manipulate the data

Powered by:

• AlphaTwirl (presently): to run the dataset splitting

• Atuproot: to adapt AlphaTwirl to use uproot

• uproot: to load ROOT Trees into memory as numpy arrays

• fast-flow: to manage the processing config files

• fast-curator: to orchestrate the lists of datasets to be processed

• coffee: to help the developer(s) write code

A tool from the Faster Analysis Software Taskforce: http://fast-hep.web.cern.ch/

Installation and usage

Visit the documentation for full details.