MadMiner
v0.7.0
Sites
Introduction to MadMiner
Getting started
Using MadMiner
Trouble shooting
References
Reference
madminer.analysis module
madminer.core module
madminer.delphes module
madminer.fisherinformation module
madminer.lhe module
madminer.likelihood module
madminer.limits module
madminer.ml module
madminer.morphing module
madminer.plotting module
madminer.sampling module
MadMiner
Docs
»
Index
Edit on GitHub
Index
A
|
B
|
C
|
D
|
E
|
F
|
H
|
I
|
L
|
M
|
N
|
O
|
P
|
R
|
S
|
T
|
W
|
X
A
add_benchmark() (madminer.core.MadMiner method)
add_cut() (madminer.delphes.DelphesReader method)
(madminer.lhe.LHEReader method)
add_default_observables() (madminer.delphes.DelphesReader method)
(madminer.lhe.LHEReader method)
add_efficiency() (madminer.lhe.LHEReader method)
add_estimator() (madminer.ml.Ensemble method)
add_observable() (madminer.delphes.DelphesReader method)
(madminer.lhe.LHEReader method)
add_observable_from_function() (madminer.delphes.DelphesReader method)
(madminer.lhe.LHEReader method)
add_parameter() (madminer.core.MadMiner method)
add_sample() (madminer.delphes.DelphesReader method)
(madminer.lhe.LHEReader method)
add_systematics() (madminer.core.MadMiner method)
analyse_delphes_samples() (madminer.delphes.DelphesReader method)
analyse_samples() (madminer.lhe.LHEReader method)
asymptotic_p_value() (madminer.limits.AsymptoticLimits method)
AsymptoticLimits (class in madminer.limits)
B
BaseLikelihood (class in madminer.likelihood)
benchmark() (in module madminer.sampling)
benchmarks() (in module madminer.sampling)
C
calculate_fisher_information() (madminer.ml.DoubleParameterizedRatioEstimator method)
(madminer.ml.Ensemble method)
(madminer.ml.Estimator method)
(madminer.ml.LikelihoodEstimator method)
(madminer.ml.ParameterizedRatioEstimator method)
(madminer.ml.ScoreEstimator method)
calculate_fisher_information_full_detector() (madminer.fisherinformation.FisherInformation method)
calculate_fisher_information_full_truth() (madminer.fisherinformation.FisherInformation method)
calculate_fisher_information_hist1d() (madminer.fisherinformation.FisherInformation method)
calculate_fisher_information_hist2d() (madminer.fisherinformation.FisherInformation method)
calculate_fisher_information_nuisance_constraints() (madminer.fisherinformation.FisherInformation method)
calculate_fisher_information_rate() (madminer.fisherinformation.FisherInformation method)
combine_and_shuffle() (in module madminer.sampling)
ConditionalEstimator (class in madminer.ml)
create_expected_negative_log_likelihood() (madminer.likelihood.BaseLikelihood method)
(madminer.likelihood.HistoLikelihood method)
(madminer.likelihood.NeuralLikelihood method)
create_negative_log_likelihood() (madminer.likelihood.BaseLikelihood method)
(madminer.likelihood.HistoLikelihood method)
(madminer.likelihood.NeuralLikelihood method)
cross_sections() (madminer.sampling.SampleAugmenter method)
D
DataAnalyzer (class in madminer.analysis)
DelphesReader (class in madminer.delphes)
distance_contours() (madminer.fisherinformation.InformationGeometry method)
DoubleParameterizedRatioEstimator (class in madminer.ml)
E
Ensemble (class in madminer.ml)
Estimator (class in madminer.ml)
evaluate() (madminer.ml.DoubleParameterizedRatioEstimator method)
(madminer.ml.Estimator method)
(madminer.ml.LikelihoodEstimator method)
(madminer.ml.ParameterizedRatioEstimator method)
(madminer.ml.ScoreEstimator method)
evaluate_log_likelihood() (madminer.ml.DoubleParameterizedRatioEstimator method)
(madminer.ml.Ensemble method)
(madminer.ml.Estimator method)
(madminer.ml.LikelihoodEstimator method)
(madminer.ml.ParameterizedRatioEstimator method)
(madminer.ml.ScoreEstimator method)
evaluate_log_likelihood_ratio() (madminer.ml.DoubleParameterizedRatioEstimator method)
(madminer.ml.Ensemble method)
(madminer.ml.Estimator method)
(madminer.ml.LikelihoodEstimator method)
(madminer.ml.ParameterizedRatioEstimator method)
(madminer.ml.ScoreEstimator method)
evaluate_log_likelihood_ratio_torch() (madminer.ml.ParameterizedRatioEstimator method)
evaluate_score() (madminer.ml.DoubleParameterizedRatioEstimator method)
(madminer.ml.Ensemble method)
(madminer.ml.Estimator method)
(madminer.ml.LikelihoodEstimator method)
(madminer.ml.ParameterizedRatioEstimator method)
(madminer.ml.ScoreEstimator method)
event_loader() (madminer.analysis.DataAnalyzer method)
expected_limits() (madminer.limits.AsymptoticLimits method)
F
find_trajectory() (madminer.fisherinformation.InformationGeometry method)
FisherInformation (class in madminer.fisherinformation)
fix_params() (in module madminer.likelihood)
full_information() (madminer.fisherinformation.FisherInformation method)
H
histo_information() (madminer.fisherinformation.FisherInformation method)
histo_information_2d() (madminer.fisherinformation.FisherInformation method)
histogram_of_fisher_information() (madminer.fisherinformation.FisherInformation method)
histogram_of_information() (madminer.fisherinformation.FisherInformation method)
histogram_of_sigma_dsigma() (madminer.fisherinformation.FisherInformation method)
HistoLikelihood (class in madminer.likelihood)
I
iid_nuisance_parameters() (in module madminer.sampling)
information_from_formula() (madminer.fisherinformation.InformationGeometry method)
information_from_grid() (madminer.fisherinformation.InformationGeometry method)
InformationGeometry (class in madminer.fisherinformation)
initialize_input_transform() (madminer.ml.Estimator method)
initialize_parameter_transform() (madminer.ml.ConditionalEstimator method)
L
LHEReader (class in madminer.lhe)
LikelihoodEstimator (class in madminer.ml)
load() (madminer.core.MadMiner method)
(madminer.ml.ConditionalEstimator method)
(madminer.ml.Ensemble method)
(madminer.ml.Estimator method)
(madminer.ml.ScoreEstimator method)
load_estimator() (in module madminer.ml)
M
MadMiner (class in madminer.core)
madminer (module)
madminer.analysis (module)
madminer.core (module)
madminer.delphes (module)
madminer.fisherinformation (module)
madminer.lhe (module)
madminer.likelihood (module)
madminer.limits (module)
madminer.ml (module)
madminer.plotting (module)
madminer.sampling (module)
morphing_point() (in module madminer.sampling)
morphing_points() (in module madminer.sampling)
MorphingAwareRatioEstimator (class in madminer.ml)
N
NeuralLikelihood (class in madminer.likelihood)
nominal_nuisance_parameters() (in module madminer.sampling)
nuisance_constraint_information() (madminer.fisherinformation.FisherInformation method)
O
observed_limits() (madminer.limits.AsymptoticLimits method)
P
ParameterizedRatioEstimator (class in madminer.ml)
plot_2d_morphing_basis() (in module madminer.plotting)
plot_distribution_of_information() (in module madminer.plotting)
plot_distributions() (in module madminer.plotting)
plot_fisher_information_contours_2d() (in module madminer.plotting)
plot_fisherinfo_barplot() (in module madminer.plotting)
plot_histograms() (in module madminer.plotting)
plot_nd_morphing_basis_scatter() (in module madminer.plotting)
plot_nd_morphing_basis_slices() (in module madminer.plotting)
plot_pvalue_limits() (in module madminer.plotting)
plot_systematics() (in module madminer.plotting)
plot_uncertainty() (in module madminer.plotting)
profile_information() (in module madminer.fisherinformation)
profile_log_likelihood() (in module madminer.likelihood)
project_information() (in module madminer.fisherinformation)
project_log_likelihood() (in module madminer.likelihood)
R
random_morphing_points() (in module madminer.sampling)
rate_information() (madminer.fisherinformation.FisherInformation method)
reset_cuts() (madminer.delphes.DelphesReader method)
(madminer.lhe.LHEReader method)
reset_efficiencies() (madminer.lhe.LHEReader method)
reset_observables() (madminer.delphes.DelphesReader method)
(madminer.lhe.LHEReader method)
reset_systematics() (madminer.core.MadMiner method)
reweight_existing_sample() (madminer.core.MadMiner method)
run() (madminer.core.MadMiner method)
run_delphes() (madminer.delphes.DelphesReader method)
run_multiple() (madminer.core.MadMiner method)
S
sample_test() (madminer.sampling.SampleAugmenter method)
sample_train_density() (madminer.sampling.SampleAugmenter method)
sample_train_local() (madminer.sampling.SampleAugmenter method)
sample_train_more_ratios() (madminer.sampling.SampleAugmenter method)
sample_train_plain() (madminer.sampling.SampleAugmenter method)
sample_train_ratio() (madminer.sampling.SampleAugmenter method)
SampleAugmenter (class in madminer.sampling)
save() (madminer.core.MadMiner method)
(madminer.delphes.DelphesReader method)
(madminer.lhe.LHEReader method)
(madminer.ml.ConditionalEstimator method)
(madminer.ml.Ensemble method)
(madminer.ml.Estimator method)
(madminer.ml.ScoreEstimator method)
ScoreEstimator (class in madminer.ml)
set_acceptance() (madminer.delphes.DelphesReader method)
set_benchmarks() (madminer.core.MadMiner method)
set_met_noise() (madminer.lhe.LHEReader method)
set_morphing() (madminer.core.MadMiner method)
set_nuisance() (madminer.ml.ScoreEstimator method)
set_parameters() (madminer.core.MadMiner method)
set_smearing() (madminer.lhe.LHEReader method)
T
TheresAGoodReasonThisDoesntWork
train() (madminer.ml.DoubleParameterizedRatioEstimator method)
(madminer.ml.Estimator method)
(madminer.ml.LikelihoodEstimator method)
(madminer.ml.MorphingAwareRatioEstimator method)
(madminer.ml.ParameterizedRatioEstimator method)
(madminer.ml.ScoreEstimator method)
train_all() (madminer.ml.Ensemble method)
train_one() (madminer.ml.Ensemble method)
truth_information() (madminer.fisherinformation.FisherInformation method)
W
weighted_events() (madminer.analysis.DataAnalyzer method)
X
xsec_gradients() (madminer.analysis.DataAnalyzer method)
xsecs() (madminer.analysis.DataAnalyzer method)
Read the Docs
v: v0.7.0
Versions
latest
stable
v0.7.0
v0.6.4
v0.6.3
v0.6.2
v0.6.1
v0.6.0
v0.5.1
v0.5.0
v0.4.10
v0.4.9
v0.4.8
v0.4.7
v0.4.6
v0.4.5
v0.4.4
v0.4.3
v0.4.2
v0.4.1
v0.4.0
v0.3.1
v0.3.0
v0.2.8
v0.2.7
v0.2.6
v0.2.5
v0.2.4
v0.2.3
v0.2.2
v0.2.1
v0.2.0
develop
Downloads
On Read the Docs
Project Home
Builds
Free document hosting provided by
Read the Docs
.