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Published July 3, 2020 | Version 0.5.3
Software Open

zfit/zfit: Gaussian KDE, BreitWigner and correlation

Creators

  • 1. University of Zurich
  • 2. EPFL, @CERN, @LHCb
  • 3. @lhcb
  • 4. CERN
  • 5. Princeton University

Description

Add Kernel density estimation for 1 dimension.

Major Features and Improvements
  • add correlation method to FitResult
  • Gaussian (Truncated) Kernel Density Estimation in one dimension zfit.pdf.GaussianKDE1DimV1 implementation with fixed and adaptive bandwidth added as V1. This is a feature that needs to be improved and feedback is welcome
  • Non-relativistic Breit-Wigner PDF, called Cauchy, implementation added.
Breaking changes
  • change human-readable name of Gauss, Uniform and TruncatedGauss to remove the '_tfp' at the end of the name
Bug fixes and small changes
  • fix color wrong in printout of results, params
  • packaging: moved to pyproject.toml and a setup.cfg mainly, development requirements can be installed with the dev extra as (e.g.) pip install zfit[dev]
  • Fix shape issue in TFP distributions for partial integration
  • change zfit internal algorithm (zfit_error) to compute error/intervals from the profile likelihood, which is 2-3 times faster than previous algorithm.
  • add from_minuit constructor to FitResult allowing to create it when using directly iminuit
  • fix possible bias with sampling using accept-reject
Requirement changes
  • pin down cloudpickle version (upstream bug with pip install) and TF, TFP versions

Files

zfit/zfit-0.5.3.zip

Files (918.4 kB)

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md5:6182887fd7c9c8910567a42e85b8b7c5
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Additional details

Related works

Is supplement to
https://github.com/zfit/zfit/tree/0.5.3 (URL)