PyrootCK
========
[](https://pypi.org/project/PyrootCK)
[](https://gitlab.com/ckhurewa/PyrootCK/commits/master)
[](https://ckhurewa.gitlab.io/PyrootCK)
[](https://www.gnu.org/licenses/gpl-3.0)
[](http://PyrootCK.readthedocs.io/en/latest/?badge=latest)
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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...
