Release Notes

0.4.0

Breaking changes

• To instantiate a RealVar requires a initial value to deduce the T or to specify the parameter T with RealVar{Float64} for example.
• Removed function RooFit.generateBinned. The data is generated binned if nbins > 0 in the observable variable.
• The function RooFi.generate returns a DataSet

Fixes

• Issue #15. Minhit API: Added keyword arguments for limits and fixed.
• Issue #17. use_pdf=:approximate math regarding binwidth
• Issue #23. Extra CxxWrap.CxxWrapCore.ConstCxxRef{} when calling array-input FCN?
• Fix the parameter names for vector FCN without names argument

Additions

• Added error in the definition of RealVar
• Added roofit_basics tutorial
• Plotting is done by using macro @recipe of module RecipesBase
• Support for non-uniform binned cost functions
• Added protection in global state (callback array) for multi-threading

0.3.0 (04-04-2025)

Additions

• Extended cost functions ExtendedBinnedNLL and ExtendedUnbinnedNLL.
  • Added examples in costfunctions example
  • Added unit tests
• Added CostSum to combine cost functions
  • Added unit test
  • Added combined tutorial
• Extended Distributions with a Chebyshev polynomial distribution
• Added elapsed time of the minuit printout
• Added module RooFit with some very simple elements to build models
  • Added tutorial roofit and unit tests

0.2.1 (5-03-2025)

Fixes

• Keyword argument for gradient in cost functions is grad
• Fixed convergence for BinnedNLL with gradient
• Fix for making assignments of properties with : such as m.values[:] = [...]

Additions

• Two notebooks for execution performance (julia, python)
• Added docstring for all properties of Minuit type
• Added ndof function and property to get the number of degrees of freedom
• Added extension module Minuit2HistExt to accept FHist histograms as input for BinnedNLL
• Added simplex! and scan! functions to perform minimization with other methods

0.2.0 (18-02-2025)

• Initial release that includes the wrapper to all major C++ classes available in Minuit2
• The currently offered API is minimalistic. It allows to run some introductory tutorials:
  • Introduction to Minuit2.jl
  • Cost Functions
• The currently available cost functions are:
  • UnbinnedNLL - Unbinned negative log-likelihood cost function.
  • BinnedNLL - Binned negative log-likelihood.
  • LeastSquares - Least-squares cost function (aka chisquare function).
• The package provides a extension module (if Plots and FHist are loaded) for plotting the data and results of the fit.
• Documentation is generated using Documenter