MadMiner
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Introduction to MadMiner
Getting started
Using MadMiner
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References
API
madminer.analysis package
madminer.core package
madminer.delphes package
madminer.fisherinformation package
madminer.lhe package
madminer.likelihood package
madminer.limits package
madminer.ml package
madminer.plotting package
madminer.sampling package
MadMiner
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Index
A
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B
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C
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D
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E
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F
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H
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I
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L
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M
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N
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O
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P
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R
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S
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T
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W
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X
A
add_benchmark() (madminer.core.madminer.MadMiner method)
add_cut() (madminer.delphes.delphes_reader.DelphesReader method)
(madminer.lhe.lhe_reader.LHEReader method)
add_default_observables() (madminer.delphes.delphes_reader.DelphesReader method)
(madminer.lhe.lhe_reader.LHEReader method)
add_efficiency() (madminer.lhe.lhe_reader.LHEReader method)
add_estimator() (madminer.ml.ensemble.Ensemble method)
add_observable() (madminer.delphes.delphes_reader.DelphesReader method)
(madminer.lhe.lhe_reader.LHEReader method)
add_observable_from_function() (madminer.delphes.delphes_reader.DelphesReader method)
(madminer.lhe.lhe_reader.LHEReader method)
add_parameter() (madminer.core.madminer.MadMiner method)
add_sample() (madminer.delphes.delphes_reader.DelphesReader method)
(madminer.lhe.lhe_reader.LHEReader method)
add_systematics() (madminer.core.madminer.MadMiner method)
analyse_delphes_samples() (madminer.delphes.delphes_reader.DelphesReader method)
analyse_samples() (madminer.lhe.lhe_reader.LHEReader method)
asymptotic_p_value() (madminer.limits.asymptotic_limits.AsymptoticLimits method)
AsymptoticLimits (class in madminer.limits.asymptotic_limits)
B
BaseLikelihood (class in madminer.likelihood.base)
benchmark() (in module madminer.sampling.parameters)
benchmarks() (in module madminer.sampling.parameters)
C
calculate_fisher_information() (madminer.ml.base.Estimator method)
(madminer.ml.double_parameterized_ratio.DoubleParameterizedRatioEstimator method)
(madminer.ml.ensemble.Ensemble method)
(madminer.ml.likelihood.LikelihoodEstimator method)
(madminer.ml.parameterized_ratio.ParameterizedRatioEstimator method)
(madminer.ml.score.ScoreEstimator method)
calculate_fisher_information_full_detector() (madminer.fisherinformation.information.FisherInformation method)
calculate_fisher_information_full_truth() (madminer.fisherinformation.information.FisherInformation method)
calculate_fisher_information_hist1d() (madminer.fisherinformation.information.FisherInformation method)
calculate_fisher_information_hist2d() (madminer.fisherinformation.information.FisherInformation method)
calculate_fisher_information_nuisance_constraints() (madminer.fisherinformation.information.FisherInformation method)
calculate_fisher_information_rate() (madminer.fisherinformation.information.FisherInformation method)
combine_and_shuffle() (in module madminer.sampling.combine)
ConditionalEstimator (class in madminer.ml.base)
create_expected_negative_log_likelihood() (madminer.likelihood.base.BaseLikelihood method)
(madminer.likelihood.histo.HistoLikelihood method)
(madminer.likelihood.neural.NeuralLikelihood method)
create_negative_log_likelihood() (madminer.likelihood.base.BaseLikelihood method)
(madminer.likelihood.histo.HistoLikelihood method)
(madminer.likelihood.neural.NeuralLikelihood method)
cross_sections() (madminer.sampling.sampleaugmenter.SampleAugmenter method)
D
DataAnalyzer (class in madminer.analysis.dataanalyzer)
DelphesReader (class in madminer.delphes.delphes_reader)
distance_contours() (madminer.fisherinformation.geometry.InformationGeometry method)
DoubleParameterizedRatioEstimator (class in madminer.ml.double_parameterized_ratio)
E
Ensemble (class in madminer.ml.ensemble)
Estimator (class in madminer.ml.base)
evaluate() (madminer.ml.base.Estimator method)
(madminer.ml.double_parameterized_ratio.DoubleParameterizedRatioEstimator method)
(madminer.ml.likelihood.LikelihoodEstimator method)
(madminer.ml.parameterized_ratio.ParameterizedRatioEstimator method)
(madminer.ml.score.ScoreEstimator method)
evaluate_log_likelihood() (madminer.ml.base.Estimator method)
(madminer.ml.double_parameterized_ratio.DoubleParameterizedRatioEstimator method)
(madminer.ml.ensemble.Ensemble method)
(madminer.ml.likelihood.LikelihoodEstimator method)
(madminer.ml.parameterized_ratio.ParameterizedRatioEstimator method)
(madminer.ml.score.ScoreEstimator method)
evaluate_log_likelihood_ratio() (madminer.ml.base.Estimator method)
(madminer.ml.double_parameterized_ratio.DoubleParameterizedRatioEstimator method)
(madminer.ml.ensemble.Ensemble method)
(madminer.ml.likelihood.LikelihoodEstimator method)
(madminer.ml.parameterized_ratio.ParameterizedRatioEstimator method)
(madminer.ml.score.ScoreEstimator method)
evaluate_log_likelihood_ratio_torch() (madminer.ml.parameterized_ratio.ParameterizedRatioEstimator method)
evaluate_score() (madminer.ml.base.Estimator method)
(madminer.ml.double_parameterized_ratio.DoubleParameterizedRatioEstimator method)
(madminer.ml.ensemble.Ensemble method)
(madminer.ml.likelihood.LikelihoodEstimator method)
(madminer.ml.parameterized_ratio.ParameterizedRatioEstimator method)
(madminer.ml.score.ScoreEstimator method)
event_loader() (madminer.analysis.dataanalyzer.DataAnalyzer method)
expected_limits() (madminer.limits.asymptotic_limits.AsymptoticLimits method)
F
find_trajectory() (madminer.fisherinformation.geometry.InformationGeometry method)
FisherInformation (class in madminer.fisherinformation.information)
fix_params() (in module madminer.likelihood.manipulate)
full_information() (madminer.fisherinformation.information.FisherInformation method)
H
histo_information() (madminer.fisherinformation.information.FisherInformation method)
histo_information_2d() (madminer.fisherinformation.information.FisherInformation method)
histogram_of_fisher_information() (madminer.fisherinformation.information.FisherInformation method)
histogram_of_information() (madminer.fisherinformation.information.FisherInformation method)
histogram_of_sigma_dsigma() (madminer.fisherinformation.information.FisherInformation method)
HistoLikelihood (class in madminer.likelihood.histo)
I
iid_nuisance_parameters() (in module madminer.sampling.parameters)
information_from_formula() (madminer.fisherinformation.geometry.InformationGeometry method)
information_from_grid() (madminer.fisherinformation.geometry.InformationGeometry method)
InformationGeometry (class in madminer.fisherinformation.geometry)
initialize_input_transform() (madminer.ml.base.Estimator method)
initialize_parameter_transform() (madminer.ml.base.ConditionalEstimator method)
L
LHEReader (class in madminer.lhe.lhe_reader)
LikelihoodEstimator (class in madminer.ml.likelihood)
load() (madminer.core.madminer.MadMiner method)
(madminer.ml.base.ConditionalEstimator method)
(madminer.ml.base.Estimator method)
(madminer.ml.ensemble.Ensemble method)
(madminer.ml.score.ScoreEstimator method)
load_estimator() (in module madminer.ml.lookup)
M
MadMiner (class in madminer.core.madminer)
madminer (module)
madminer.analysis (module)
madminer.analysis.dataanalyzer (module)
madminer.core (module)
madminer.core.madminer (module)
madminer.delphes (module)
madminer.delphes.delphes_reader (module)
madminer.fisherinformation (module)
madminer.fisherinformation.geometry (module)
madminer.fisherinformation.information (module)
madminer.fisherinformation.manipulate (module)
madminer.lhe (module)
madminer.lhe.lhe_reader (module)
madminer.likelihood (module)
madminer.likelihood.base (module)
madminer.likelihood.histo (module)
madminer.likelihood.manipulate (module)
madminer.likelihood.neural (module)
madminer.limits (module)
madminer.limits.asymptotic_limits (module)
madminer.ml (module)
madminer.ml.base (module)
madminer.ml.double_parameterized_ratio (module)
madminer.ml.ensemble (module)
madminer.ml.likelihood (module)
madminer.ml.lookup (module)
madminer.ml.morphing_aware (module)
madminer.ml.parameterized_ratio (module)
madminer.ml.score (module)
madminer.plotting (module)
madminer.plotting.distributions (module)
madminer.plotting.fisherinformation (module)
madminer.plotting.limits (module)
madminer.plotting.morphing (module)
madminer.plotting.uncertainties (module)
madminer.sampling (module)
madminer.sampling.combine (module)
madminer.sampling.parameters (module)
madminer.sampling.sampleaugmenter (module)
morphing_point() (in module madminer.sampling.parameters)
morphing_points() (in module madminer.sampling.parameters)
MorphingAwareRatioEstimator (class in madminer.ml.morphing_aware)
N
NeuralLikelihood (class in madminer.likelihood.neural)
nominal_nuisance_parameters() (in module madminer.sampling.parameters)
nuisance_constraint_information() (madminer.fisherinformation.information.FisherInformation method)
O
observed_limits() (madminer.limits.asymptotic_limits.AsymptoticLimits method)
P
ParameterizedRatioEstimator (class in madminer.ml.parameterized_ratio)
plot_2d_morphing_basis() (in module madminer.plotting.morphing)
plot_distribution_of_information() (in module madminer.plotting.fisherinformation)
plot_distributions() (in module madminer.plotting.distributions)
plot_fisher_information_contours_2d() (in module madminer.plotting.fisherinformation)
plot_fisherinfo_barplot() (in module madminer.plotting.fisherinformation)
plot_histograms() (in module madminer.plotting.distributions)
plot_nd_morphing_basis_scatter() (in module madminer.plotting.morphing)
plot_nd_morphing_basis_slices() (in module madminer.plotting.morphing)
plot_pvalue_limits() (in module madminer.plotting.limits)
plot_systematics() (in module madminer.plotting.uncertainties)
plot_uncertainty() (in module madminer.plotting.uncertainties)
profile_information() (in module madminer.fisherinformation.manipulate)
profile_log_likelihood() (in module madminer.likelihood.manipulate)
project_information() (in module madminer.fisherinformation.manipulate)
project_log_likelihood() (in module madminer.likelihood.manipulate)
R
random_morphing_points() (in module madminer.sampling.parameters)
rate_information() (madminer.fisherinformation.information.FisherInformation method)
reset_cuts() (madminer.delphes.delphes_reader.DelphesReader method)
(madminer.lhe.lhe_reader.LHEReader method)
reset_efficiencies() (madminer.lhe.lhe_reader.LHEReader method)
reset_observables() (madminer.delphes.delphes_reader.DelphesReader method)
(madminer.lhe.lhe_reader.LHEReader method)
reset_systematics() (madminer.core.madminer.MadMiner method)
reweight_existing_sample() (madminer.core.madminer.MadMiner method)
run() (madminer.core.madminer.MadMiner method)
run_delphes() (madminer.delphes.delphes_reader.DelphesReader method)
run_multiple() (madminer.core.madminer.MadMiner method)
S
sample_test() (madminer.sampling.sampleaugmenter.SampleAugmenter method)
sample_train_density() (madminer.sampling.sampleaugmenter.SampleAugmenter method)
sample_train_local() (madminer.sampling.sampleaugmenter.SampleAugmenter method)
sample_train_more_ratios() (madminer.sampling.sampleaugmenter.SampleAugmenter method)
sample_train_plain() (madminer.sampling.sampleaugmenter.SampleAugmenter method)
sample_train_ratio() (madminer.sampling.sampleaugmenter.SampleAugmenter method)
SampleAugmenter (class in madminer.sampling.sampleaugmenter)
save() (madminer.core.madminer.MadMiner method)
(madminer.delphes.delphes_reader.DelphesReader method)
(madminer.lhe.lhe_reader.LHEReader method)
(madminer.ml.base.ConditionalEstimator method)
(madminer.ml.base.Estimator method)
(madminer.ml.ensemble.Ensemble method)
(madminer.ml.score.ScoreEstimator method)
ScoreEstimator (class in madminer.ml.score)
set_acceptance() (madminer.delphes.delphes_reader.DelphesReader method)
set_benchmarks() (madminer.core.madminer.MadMiner method)
set_met_noise() (madminer.lhe.lhe_reader.LHEReader method)
set_morphing() (madminer.core.madminer.MadMiner method)
set_nuisance() (madminer.ml.score.ScoreEstimator method)
set_parameters() (madminer.core.madminer.MadMiner method)
set_smearing() (madminer.lhe.lhe_reader.LHEReader method)
T
TheresAGoodReasonThisDoesntWork
train() (madminer.ml.base.Estimator method)
(madminer.ml.double_parameterized_ratio.DoubleParameterizedRatioEstimator method)
(madminer.ml.likelihood.LikelihoodEstimator method)
(madminer.ml.morphing_aware.MorphingAwareRatioEstimator method)
(madminer.ml.parameterized_ratio.ParameterizedRatioEstimator method)
(madminer.ml.score.ScoreEstimator method)
train_all() (madminer.ml.ensemble.Ensemble method)
train_one() (madminer.ml.ensemble.Ensemble method)
truth_information() (madminer.fisherinformation.information.FisherInformation method)
W
weighted_events() (madminer.analysis.dataanalyzer.DataAnalyzer method)
X
xsec_gradients() (madminer.analysis.dataanalyzer.DataAnalyzer method)
xsecs() (madminer.analysis.dataanalyzer.DataAnalyzer method)
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