Documentation and examples: Added Irina Espejo to author list Updated installations instructions in README Updates and fixes in the tutorials and examples Bug fixes: MadMiner correctly reads parameters that are not formatted as LHA block in param_card Fixed bug in LHE parsing Fixed bug in smearing with pt_resolution = None extract_samples_train_ratio() does not crash when morphing is not set up Fixed bug in project_fisher_information() with covariance matrix Fixed bug in plot_distributions() with n_events=None Internal changes: Sped up LHE parsing, user can choose between XML and test parsin
New features: Nuisance parameters for ratio-based methods! This required a major refactoring of mad...
New features: DelphesProcessor supports a "generator truth" analysis. With this option, observables...
New features: Expanded systematics system. Users now declare systematics with MadMiner.add_systemat...
Documentation: New systematics example. Bug fixes: Fixed multiple issues in the parsing and editi...
Bug fixes: Fixed Cut LHE parsing after the introduction of data classes in v0.9.0 (https://github.c...
New features: New python2_override keyword in MadMiner.run() and MadMiner.run_multiple() to allow u...
Bug fixes: Fixed wrong results and crazy run time in AsymptoticLimits when more than one parameter ...
New features: Smearing functions in LHEProcessor More powerful observable definitions and cuts in L...
New features: b and tau tags, can be used for cuts and observables New plot_uncertainty() function ...
New features: Fisher information uncertainties for ensembles in "score" mode Bug fixes: Fixed Ma...
New features: 'tau' object for LHEProcessor observables / cuts. Breaking / API changes: New verbo...
New features: Nuisance parameters to model systematic uncertainties, currently only from PDF / scal...
New features: Smarter sampling: MadMiner now keeps track of which events where generated (sampled) ...
New features: Fisher information in histograms can be calculated for a custom binning MET noise in ...
New features More options for some plotting functions Bug fixes Fixed AsymptoticLimits functions ...
New features: Nuisance parameters for ratio-based methods! This required a major refactoring of mad...
New features: DelphesProcessor supports a "generator truth" analysis. With this option, observables...
New features: Expanded systematics system. Users now declare systematics with MadMiner.add_systemat...
Documentation: New systematics example. Bug fixes: Fixed multiple issues in the parsing and editi...
Bug fixes: Fixed Cut LHE parsing after the introduction of data classes in v0.9.0 (https://github.c...
New features: New python2_override keyword in MadMiner.run() and MadMiner.run_multiple() to allow u...
Bug fixes: Fixed wrong results and crazy run time in AsymptoticLimits when more than one parameter ...
New features: Smearing functions in LHEProcessor More powerful observable definitions and cuts in L...
New features: b and tau tags, can be used for cuts and observables New plot_uncertainty() function ...
New features: Fisher information uncertainties for ensembles in "score" mode Bug fixes: Fixed Ma...
New features: 'tau' object for LHEProcessor observables / cuts. Breaking / API changes: New verbo...
New features: Nuisance parameters to model systematic uncertainties, currently only from PDF / scal...
New features: Smarter sampling: MadMiner now keeps track of which events where generated (sampled) ...
New features: Fisher information in histograms can be calculated for a custom binning MET noise in ...
New features More options for some plotting functions Bug fixes Fixed AsymptoticLimits functions ...
New features: Nuisance parameters for ratio-based methods! This required a major refactoring of mad...
New features: DelphesProcessor supports a "generator truth" analysis. With this option, observables...
New features: Expanded systematics system. Users now declare systematics with MadMiner.add_systemat...