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1.5.0 / 2021-06-29

  • Variable stepping, support for high-energy models (#127)
  • NEST models for post-quanta processes (#136)
  • Configuration system (#140, #147)
  • XENON1T: Fix S2 acceptance (#138) and unused imports (#128)
  • Update block system documentation (#139)

1.4.1 / 2021-04-20

  • Stabilize default optimizer with better parameter scaling (#114)
  • XENONnT: Support reading data from private repository (#115)
  • XENON1T: Variable elife (#118)
  • XENON1T: Npz resource reading (#123)

1.4.0 / 2021-03-05

  • Fix 'sticky defaults' bug (#110)
  • Enable GitHub Actions and Dependabot (#109)
  • Documentation updates (#92, notebooks#3)
  • Likelihood defaults support, simulate argument fixes (#103)
  • SpatialRateEnergySpectrum: Simplify API (#100) and fix draw_positions (#105)
  • WIMPEnergySpectrum: Accept event times slightly out of range (#99)
  • Do not round photons_detected_mle (#91)
  • XENON1T: fix S2 acceptance (#97) and name reconstruction efficiency pivots (#102)

1.3.0 / 2020-08-25

  • Block system (#81)
  • Documentation (#81)
  • Bugfixes (#83, #87, #89)

1.2.0 / 2020-07-21

  • Access BBF data and XENON-utilities (#80)
  • Double photoelectron emission modeling (#78)
  • Optimization improvements (#76)
  • Bugfix (#79)

1.1.0 / 2020-07-09

  • Nonlinear constraint limit setting (experimental) (#70)
  • Dimension scaling inside optimizers (#72)
  • Auto-guess rate multipliers (#74)
  • Python 3.8 builds (#73)
  • Add sanity checks on input and guess (#69)

1.0.0 / 2020-03-26

  • Fiducial volume specification (#64)
  • Added default cS1 cut (#63)
  • Cleanup and optimizations (#63, #64, #65)

0.5.0 / 2020-01-31

  • Autographed Hessian; use Hessian in the optimizer (#62)
  • Check for optimizer failures (#61)
  • Trace single-batch likelihood, but use numpy thereafter (#61)
  • Fix simulation/data discrepancy in recombination fluctuation
  • Adjust optimizer defaults
  • Option to use time-averaged WIMP spectra

0.4.0 / 2020-01-15

  • Many changes to objectives and inference (#59, #60)
  • Add tilt to objective for interval/limit searches
  • one_parameter_interval -> limit and interval methods
  • Optimizers use bounds
  • Tolerance option homogenization (first pass)
  • Auto-guess limits

0.3.1 / 2019-11-26

  • Performance improvements and cleanup (#58)
  • Improve one_parameter_interval arguments (#56)
  • Add Tutorial output to flamedisx-notebooks (#56)
  • Bugfixes (#57)

0.3.0 / 2019-11-19

  • Split off notebook folder to flamedisx-notebooks
  • Pass source specific parameters correctly (#51)
  • Flexible event padding (#54)
  • SciPy optimizer and optimizer settings (#54)
  • one_parameter_interval (#54)
  • Bugfixes (#46, #55, #51)
  • Unify optimizers (#54)

0.2.2 / 2019-10-30

  • Minuit optimizer (#40)
  • Likelihood simulator (#43, #44)
  • Updates to NRSource (#40)

0.2.1 / 2019-10-24

  • Workaround for numerical errors (#38, #39)

0.2.0 / 2019-10-11

  • Spatially dependent rates (#27)
  • Time dependent energy spectra (#24)
  • XENON1T SR1-like model / fixes (#22, #32)
  • Switch optimizer to BFGS + Hessian (#19)
  • Multiple source support (#14)
  • Optimization (#13)
  • Bugfixes / refactor (#18, #20, #21, #28, #30, #31, #35)

0.1.2 / 2019-07-24

  • Speedup ER computation, add tutorial (#11)
  • Optimize lookup-axis1 (#10)

0.1.1 / 2019-07-21

  • 5x speedup for Hessian (#9)
  • Fix pip install

0.1.0 / 2019-07-16

  • Batching (#7)
  • Inference (#6)
  • Ported to tensorflow / GPU support (#1, #2, #3, #5)

0.0.1 / 2019-03-17

  • Initial numpy-based version