Release notes v0.1

Release notes v0.1#

Specific upgrades for the latest release can be found here.

New features since the last release#

  • The exclusion limit calculator has been extended to include p-value computation from chi-square. (#17)

  • \(\chi^2\) function has been extended to compute background + signal vs background only model. (#17)

  • A Poisson-based likelihood constructor without uncertainties has been added (Request by Veronica Sanz for EFT studies). (#22)

  • Normal and multivariate normal distributions have been added (for integration to Contur, requested by Jon Butterworth and Joe Egan). (#40)

Improvements#

  • Backend inspection has been added for the models that act like intermediate functions. (#15)

  • Backend inspection has been converted to inheritance property via ConverterBase. (#17)

  • During POI upper limit computation, sigma_mu will be computed from Hessian, if available before approximating through \(q_{\mu,A}\). #25

  • Update clarification on text-based keyword arguments. (#30)

  • Adding logging across the software and implementing tools to silence them. (#32)

  • Spey will automatically look for updates during initiation. (#32)

  • Utilities to retrieve BibTeX information for third-party plug-ins. (#32)

  • Add math utilities for users to extract gradient and hessian of negative log-likelihood (#31)

  • Improve gradient execution for default_pdf. (#31)

  • Add more tests for code coverage. (#33)

Bug Fixes#

  • In accordance with the latest updates, UnCorrStatisticsCombiner has been updated with a chi-square computer. See issue #19. (#20)

  • Execution error fix during likelihood computation for models with single nuisance parameter. (#22)

  • The numeric problem rising from == which has been updated to np.isclose see issue #23. (#25)

  • Typofix during computation of \(\sigma_\mu\). (#29)

  • Bug fix in signal uncertainty synthesizer (#34)

  • Signal uncertainties were causing a narrower \(\chi^2\) distribution due to the weight of the constraint term. (#38)

  • Scipy and Autograd version limitations have been relieved. But there is a clash with numpy v2.0 so numpy version has been limited to less than 2.0. (#40)

  • Compatibility issues have been fixed in Python 3.12 (#39)

Contributors#

This release contains contributions from (in alphabetical order):

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