MadMiner
v0.9.0
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Introduction to MadMiner
Getting started
Using MadMiner
Trouble-shooting
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
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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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Q
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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)
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)
finite_differences() (madminer.core.madminer.MadMiner 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.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
module
madminer.analysis
madminer.analysis.dataanalyzer
madminer.core
madminer.core.madminer
madminer.delphes
madminer.delphes.delphes_reader
madminer.fisherinformation
madminer.fisherinformation.geometry
madminer.fisherinformation.information
madminer.fisherinformation.manipulate
madminer.lhe
madminer.lhe.lhe_reader
madminer.likelihood
madminer.likelihood.base
madminer.likelihood.histo
madminer.likelihood.manipulate
madminer.likelihood.neural
madminer.limits
madminer.limits.asymptotic_limits
madminer.ml
madminer.ml.base
madminer.ml.double_parameterized_ratio
madminer.ml.ensemble
madminer.ml.likelihood
madminer.ml.lookup
madminer.ml.morphing_aware
madminer.ml.parameterized_ratio
madminer.ml.score
madminer.plotting
madminer.plotting.distributions
madminer.plotting.fisherinformation
madminer.plotting.limits
madminer.plotting.morphing
madminer.plotting.uncertainties
madminer.sampling
madminer.sampling.combine
madminer.sampling.parameters
madminer.sampling.sampleaugmenter
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_1d_morphing_basis() (in module madminer.plotting.morphing)
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)
Q
QuadraticMorphingAwareRatioEstimator (class in madminer.ml.morphing_aware)
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)
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.morphing_aware.QuadraticMorphingAwareRatioEstimator 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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