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

Project description

pypi package pipeline status coverage report Documentation Status Gitter 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

  • Espresso: to keep the developer(s) writing code

A tool from the Faster Analysis Software Taskforce:

Installation and usage

Visit the documentation for full details.

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