v1.2.1

What's Changed

• Source-wise interpolation by @hammannr in #46
• Fix source index mismatch by @hammannr in #47

Full Changelog: v1.2.0...v1.2.1

v1.2.0

• Prevent negative rates being passed to Barlow-Beeston equation, and allow per-event weights (#32)
• Add likelihood that takes coupling as shape parameters (#34)
• Patch for tests (#37)
• Use scipy stats for PoissonLL (#40)
• Do not scale mus when livetime_days is 0 (#41)

v1.1.0

• Likelihood sum wrapper (#17)
• emcee bestfit and multicore precomputation (#18)
• LogAncillaryLikelihood for constraint terms (#19)
• HistogramPDFSource simulation, order shape parameter dict (#20)
• Efficiency shape parameter, LogLikelihoodSum enhancements (#23)
• Use scipy as default optimizer (#24)
• Minuit support for bounds and errors (#26, #27)
• Per-source efficiencies, weighted LogLikelihoodSum (#28)
• Use atomicwrites for cache to prevent race conditions (#30)

v1.0.0-beta.2

Several improvements, detailed description to follow

v1.0.0-beta.1

• Binned likelihoods (#7)
• Argument validation for LogLikelihood function (#8)
• Automatic handling of statistical uncertainty due to finite MC/calibration statistics (#9):
  • Adjustment of expected counts per bin using Beeston-Barlow method for one source
  • Generalized to multiple sources, but only one with finite statistics.
  • Only for binned likelihoods.
• iminuit integration, use as default minimizer if installed (#10, #13)
• compute_pdf option to do full likelihood model computation on the fly (#11)
• HistogramPDF to provide just histogram lookup/interpolation from DensityEstimatingSource (#12)
• inference functions -> LogLikelihood methods
• Most-used functions/classes available under blueice (blueice.Source, blueice.UnbinnedLogLikelihood, ...)
• compute_pdf auto-called, consistent handling of events_per_day
• Start of documentation, readthedocs integration

v.0.4.0

• Big internal refactor, some API changes (#5)
• DensityEstimatingSource
• Bugfixes, more tests

v.0.3.0

• Renamed to blueice, XENON stuff renamed to laidbax
• Experimental radial template morphing (#4)
• Tests, several bugfixes (e.g. #3)
• Rate parameters are now rate multipliers
• Linear interpolation of density estimator
• Parallel model initialization