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Improving PyROOT for better productivity.

Project description

PyrootCK

package version pipeline status coverage report License: GPL v3 Documentation Status python version

Improving PyROOT for better productivity.

Collection of utilities are organized into subpackages::

  • mathutils:

    • asymvar: class for variable with asymmetric-error, inspired from uncertainties.ufloat.
    • Eff, EffU, EffU_unguard: functions to compute efficiencies with Clopper-Pearson uncertainty.
    • weighted_average, weighted_harmonic_average: when a simple average is not enough.
    • combine_fully_correlated, combine_uncorrelated, combine_BLUE: for combining multiple observables with uncertainty into one, given choices of correlation. For BLUE (Best Linear Unbiased Estimator), see Valassi, 2013.
  • iouils

    • import_tree to quickly load TTree from (multiple) TFile overloaded for different source types (local, ganga, eos, xrootd, ...).
  • tmvautils

    • TMVA_Adapter to help setup TMVA.Reader variables, and return TTree of mva-response weights.

As well as miscellaneous monkey-patching on ROOT and uncertainties for more methods::

  • ROOT:

    • Misc conversion to/from ROOT (TH,TGraph,RooWorkspace,RooFitResult,...) and pandas (Series, DataFrame).
    • TFile.slice_tree to extract TTree into smaller one.
    • TTree.drop to make index-unique TTree.
    • TH1.vlookup, TH2.vlookup: like in Microsoft Excel, to retrive value in a bin given point(s) on the axis.
    • TMultiGraph.brazillian: for the upper limits plot.
  • uncertainties:

    • class var, based on ufloat but ready-made for statistical (Poisson) error.
    • Additional methods on ufloat: rerr, upperlim, low, high, interval, rounding_PDG
    • More methods involving error tag: tags, get_error, get_rerr

See the docstring from module index for more details.

Installation

It's available on pip: pip install pyrootck

Dependency: uncertainties, pandas, root_numpy, pyroot_zen, PythonCK

Disclaimer

This packacge was written and used during my PhD in 2013-2017 at EPFL (Lausanne) and LHCb collaboration (CERN), for the work in Z->tau tau cross-section measurement and H->mu tau searches at LHCb (8TeV).

I hope it can be of a good use for future analysis...

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Filename, size & hash SHA256 hash help File type Python version Upload date
PyrootCK-1.0.1-py2.py3-none-any.whl (54.6 kB) Copy SHA256 hash SHA256 Wheel py2.py3 Apr 14, 2018
PyrootCK-1.0.1.tar.gz (1.2 MB) Copy SHA256 hash SHA256 Source None Apr 14, 2018

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