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ML4EFT documentation
Code
Installation
Tutorial
ml4eft
ml4eft.analyse
ml4eft.analyse.analyse
ml4eft.analyse.analyse.Analyse
ml4eft.analyse.animate
ml4eft.analyse.animate.Animate
ml4eft.core
ml4eft.core.classifier
ml4eft.core.classifier.Classifier
ml4eft.core.classifier.ConstraintActivation
ml4eft.core.classifier.CustomActivationFunction
ml4eft.core.classifier.EventDataset
ml4eft.core.classifier.Fitter
ml4eft.core.classifier.MLP
ml4eft.core.classifier.PreProcessing
ml4eft.core.th_predictions
ml4eft.core.th_predictions.TheoryPred
ml4eft.core.truth
ml4eft.core.truth.tt_prod
ml4eft.limits
ml4eft.limits.optimize_ns
ml4eft.limits.optimize_ns.Optimize
ml4eft.plotting
ml4eft.plotting.features
ml4eft.plotting.features.plot_features
ml4eft.preproc
ml4eft.preproc.lhe_reader
ml4eft.preproc.lhe_reader.get_deta
ml4eft.preproc.lhe_reader.get_dphi
ml4eft.preproc.lhe_reader.Kinematics
Results
Unbinned multivariate observables for global SMEFT analyses from machine learning
Inclusive top pair production at the parton level
Pseudo-data generation and benchmarking
Neural network training
Constraints on the SMEFT
Inclusive top pair production at the particle level
Kinematic features used as inputs to the neural network
Results from the ML model vs binning in two features,
\(O(\Lambda^{-2})\)
Results from the ML model trained on two features vs all features,
\(O(\Lambda^{-2})\)
Results from the ML model vs binning in two features,
\(O(\Lambda^{-4})\)
Results from the ML model training on two features vs all features,
\(O(Λ^{-4})\)
Impact of methodological uncertainties
Higgs production in association with a Z boson
Kinematic features used as inputs to the neural network
Results from the ML model vs binning in
\(p_{T}^{Z}\)
,
\(O(\Lambda^{-2})\)
, pair-wise fit
Results from the ML model vs binning in
\(p_{T}^{Z}\)
,
\(O(\Lambda^{-4})\)
, pair-wise fit
Results from the ML model vs binning in
\(p_{T}^{Z}\)
,
\(O(\Lambda^{-4})\)
, fully marginalised
Impact of methodological uncertainties
Bibliography
Bibliography
Index
_
|
A
|
B
|
C
|
D
|
E
|
F
|
G
|
H
|
K
|
L
|
M
|
N
|
O
|
P
|
R
|
S
|
T
|
W
|
Z
_
__init__() (ml4eft.analyse.analyse.Analyse method)
(ml4eft.analyse.animate.Animate method)
(ml4eft.core.classifier.Classifier method)
(ml4eft.core.classifier.ConstraintActivation method)
(ml4eft.core.classifier.CustomActivationFunction method)
(ml4eft.core.classifier.EventDataset method)
(ml4eft.core.classifier.Fitter method)
(ml4eft.core.classifier.MLP method)
(ml4eft.core.classifier.PreProcessing method)
(ml4eft.core.th_predictions.TheoryPred method)
(ml4eft.core.truth.tt_prod.crossSectionSMEFT method)
(ml4eft.limits.optimize_ns.Optimize method)
(ml4eft.preproc.lhe_reader.Kinematics method)
A
accuracy_heatmap() (ml4eft.analyse.analyse.Analyse method)
add_module() (ml4eft.core.classifier.Classifier method)
(ml4eft.core.classifier.ConstraintActivation method)
(ml4eft.core.classifier.CustomActivationFunction method)
(ml4eft.core.classifier.MLP method)
add_system() (ml4eft.preproc.lhe_reader.Kinematics class method)
Analyse (class in ml4eft.analyse.analyse)
Animate (class in ml4eft.analyse.animate)
apply() (ml4eft.core.classifier.Classifier method)
(ml4eft.core.classifier.ConstraintActivation method)
(ml4eft.core.classifier.CustomActivationFunction method)
(ml4eft.core.classifier.MLP method)
B
bfloat16() (ml4eft.core.classifier.Classifier method)
(ml4eft.core.classifier.ConstraintActivation method)
(ml4eft.core.classifier.CustomActivationFunction method)
(ml4eft.core.classifier.MLP method)
buffers() (ml4eft.core.classifier.Classifier method)
(ml4eft.core.classifier.ConstraintActivation method)
(ml4eft.core.classifier.CustomActivationFunction method)
(ml4eft.core.classifier.MLP method)
build_model_dict() (ml4eft.analyse.analyse.Analyse method)
build_path_dict() (ml4eft.analyse.analyse.Analyse static method)
build_theory_pred_df() (ml4eft.core.th_predictions.TheoryPred method)
C
children() (ml4eft.core.classifier.Classifier method)
(ml4eft.core.classifier.ConstraintActivation method)
(ml4eft.core.classifier.CustomActivationFunction method)
(ml4eft.core.classifier.MLP method)
Classifier (class in ml4eft.core.classifier)
Classifier.to() (in module ml4eft.core.classifier)
,
[1]
,
[2]
,
[3]
clean() (ml4eft.limits.optimize_ns.Optimize method)
coeff_function_truth() (ml4eft.analyse.analyse.Analyse method)
compute_diff_coefficients() (ml4eft.core.th_predictions.TheoryPred method)
compute_th_pred() (ml4eft.core.th_predictions.TheoryPred method)
ConstraintActivation (class in ml4eft.core.classifier)
ConstraintActivation.to() (in module ml4eft.core.classifier)
,
[1]
,
[2]
,
[3]
cpu() (ml4eft.core.classifier.Classifier method)
(ml4eft.core.classifier.ConstraintActivation method)
(ml4eft.core.classifier.CustomActivationFunction method)
(ml4eft.core.classifier.MLP method)
crossSectionSMEFT (class in ml4eft.core.truth.tt_prod)
cube_to_dict() (ml4eft.limits.optimize_ns.Optimize method)
cuda() (ml4eft.core.classifier.Classifier method)
(ml4eft.core.classifier.ConstraintActivation method)
(ml4eft.core.classifier.CustomActivationFunction method)
(ml4eft.core.classifier.MLP method)
CustomActivationFunction (class in ml4eft.core.classifier)
CustomActivationFunction.to() (in module ml4eft.core.classifier)
,
[1]
,
[2]
,
[3]
D
decision_function_nn() (ml4eft.analyse.analyse.Analyse method)
decision_function_truth() (ml4eft.analyse.analyse.Analyse method)
double() (ml4eft.core.classifier.Classifier method)
(ml4eft.core.classifier.ConstraintActivation method)
(ml4eft.core.classifier.CustomActivationFunction method)
(ml4eft.core.classifier.MLP method)
dsigma_dmtt() (in module ml4eft.core.truth.tt_prod)
dsigma_dmtt_dy() (in module ml4eft.core.truth.tt_prod)
dsigma_part_qq_dpt() (ml4eft.core.truth.tt_prod.crossSectionSMEFT method)
E
eval() (ml4eft.core.classifier.Classifier method)
(ml4eft.core.classifier.ConstraintActivation method)
(ml4eft.core.classifier.CustomActivationFunction method)
(ml4eft.core.classifier.MLP method)
evaluate_models() (ml4eft.analyse.analyse.Analyse method)
event_loader() (ml4eft.core.classifier.EventDataset method)
EventDataset (class in ml4eft.core.classifier)
extra_repr() (ml4eft.core.classifier.Classifier method)
(ml4eft.core.classifier.ConstraintActivation method)
(ml4eft.core.classifier.CustomActivationFunction method)
(ml4eft.core.classifier.MLP method)
F
feature_scaling() (ml4eft.core.classifier.PreProcessing method)
filter_out_models() (ml4eft.analyse.analyse.Analyse method)
Fitter (class in ml4eft.core.classifier)
float() (ml4eft.core.classifier.Classifier method)
(ml4eft.core.classifier.ConstraintActivation method)
(ml4eft.core.classifier.CustomActivationFunction method)
(ml4eft.core.classifier.MLP method)
forward() (ml4eft.core.classifier.Classifier method)
(ml4eft.core.classifier.MLP method)
G
get_c_names_unique() (ml4eft.core.th_predictions.TheoryPred method)
get_deta() (in module ml4eft.preproc.lhe_reader)
get_dphi() (in module ml4eft.preproc.lhe_reader)
get_event_paths() (ml4eft.analyse.analyse.Analyse static method)
get_inv_mass() (ml4eft.preproc.lhe_reader.Kinematics method)
get_p() (ml4eft.preproc.lhe_reader.Kinematics method)
get_phi() (ml4eft.preproc.lhe_reader.Kinematics method)
get_pseudorapidity() (ml4eft.preproc.lhe_reader.Kinematics method)
get_pt() (ml4eft.preproc.lhe_reader.Kinematics method)
get_rapidity() (ml4eft.preproc.lhe_reader.Kinematics method)
get_theta() (ml4eft.preproc.lhe_reader.Kinematics method)
H
half() (ml4eft.core.classifier.Classifier method)
(ml4eft.core.classifier.ConstraintActivation method)
(ml4eft.core.classifier.CustomActivationFunction method)
(ml4eft.core.classifier.MLP method)
K
Kinematics (class in ml4eft.preproc.lhe_reader)
L
likelihood_ratio_nn() (ml4eft.analyse.analyse.Analyse method)
likelihood_ratio_truth() (ml4eft.analyse.analyse.Analyse static method)
load_data() (ml4eft.core.classifier.Fitter method)
(ml4eft.core.classifier.PreProcessing method)
load_events() (ml4eft.analyse.analyse.Analyse static method)
load_loss() (ml4eft.analyse.analyse.Analyse static method)
load_models() (ml4eft.analyse.analyse.Analyse method)
load_run_card() (ml4eft.analyse.analyse.Analyse static method)
load_state_dict() (ml4eft.core.classifier.Classifier method)
(ml4eft.core.classifier.ConstraintActivation method)
(ml4eft.core.classifier.CustomActivationFunction method)
(ml4eft.core.classifier.MLP method)
log_like_binned() (ml4eft.limits.optimize_ns.Optimize method)
log_like_nn() (ml4eft.limits.optimize_ns.Optimize method)
log_like_truth() (ml4eft.limits.optimize_ns.Optimize method)
loss_fn() (ml4eft.core.classifier.Fitter method)
M
make_animation_1d() (ml4eft.analyse.animate.Animate method)
make_animation_2d() (ml4eft.analyse.animate.Animate method)
ml4eft
module
ml4eft.analyse
module
ml4eft.analyse.analyse
module
ml4eft.analyse.animate
module
ml4eft.core
module
ml4eft.core.classifier
module
ml4eft.core.th_predictions
module
ml4eft.core.truth
module
ml4eft.core.truth.tt_prod
module
ml4eft.limits
module
ml4eft.limits.optimize_ns
module
ml4eft.plotting
module
ml4eft.plotting.features
module
ml4eft.preproc
module
ml4eft.preproc.lhe_reader
module
MLP (class in ml4eft.core.classifier)
MLP.to() (in module ml4eft.core.classifier)
,
[1]
,
[2]
,
[3]
module
ml4eft
ml4eft.analyse
ml4eft.analyse.analyse
ml4eft.analyse.animate
ml4eft.core
ml4eft.core.classifier
ml4eft.core.th_predictions
ml4eft.core.truth
ml4eft.core.truth.tt_prod
ml4eft.limits
ml4eft.limits.optimize_ns
ml4eft.plotting
ml4eft.plotting.features
ml4eft.preproc
ml4eft.preproc.lhe_reader
modules() (ml4eft.core.classifier.Classifier method)
(ml4eft.core.classifier.ConstraintActivation method)
(ml4eft.core.classifier.CustomActivationFunction method)
(ml4eft.core.classifier.MLP method)
my_prior() (ml4eft.limits.optimize_ns.Optimize method)
N
named_buffers() (ml4eft.core.classifier.Classifier method)
(ml4eft.core.classifier.ConstraintActivation method)
(ml4eft.core.classifier.CustomActivationFunction method)
(ml4eft.core.classifier.MLP method)
named_children() (ml4eft.core.classifier.Classifier method)
(ml4eft.core.classifier.ConstraintActivation method)
(ml4eft.core.classifier.CustomActivationFunction method)
(ml4eft.core.classifier.MLP method)
named_modules() (ml4eft.core.classifier.Classifier method)
(ml4eft.core.classifier.ConstraintActivation method)
(ml4eft.core.classifier.CustomActivationFunction method)
(ml4eft.core.classifier.MLP method)
named_parameters() (ml4eft.core.classifier.Classifier method)
(ml4eft.core.classifier.ConstraintActivation method)
(ml4eft.core.classifier.CustomActivationFunction method)
(ml4eft.core.classifier.MLP method)
O
Optimize (class in ml4eft.limits.optimize_ns)
P
parameters() (ml4eft.core.classifier.Classifier method)
(ml4eft.core.classifier.ConstraintActivation method)
(ml4eft.core.classifier.CustomActivationFunction method)
(ml4eft.core.classifier.MLP method)
plot_accuracy_1d() (ml4eft.analyse.analyse.Analyse method)
plot_features() (in module ml4eft.plotting.features)
plot_heatmap() (ml4eft.analyse.analyse.Analyse static method)
plot_heatmap_overview() (ml4eft.analyse.analyse.Analyse method)
plot_loss_overview() (ml4eft.analyse.analyse.Analyse method)
point_by_point_comp() (ml4eft.analyse.analyse.Analyse method)
point_by_point_comp_med() (ml4eft.analyse.analyse.Analyse method)
posterior_loader() (ml4eft.analyse.analyse.Analyse static method)
PreProcessing (class in ml4eft.core.classifier)
R
register_backward_hook() (ml4eft.core.classifier.Classifier method)
(ml4eft.core.classifier.ConstraintActivation method)
(ml4eft.core.classifier.CustomActivationFunction method)
(ml4eft.core.classifier.MLP method)
register_buffer() (ml4eft.core.classifier.Classifier method)
(ml4eft.core.classifier.ConstraintActivation method)
(ml4eft.core.classifier.CustomActivationFunction method)
(ml4eft.core.classifier.MLP method)
register_forward_hook() (ml4eft.core.classifier.Classifier method)
(ml4eft.core.classifier.ConstraintActivation method)
(ml4eft.core.classifier.CustomActivationFunction method)
(ml4eft.core.classifier.MLP method)
register_forward_pre_hook() (ml4eft.core.classifier.Classifier method)
(ml4eft.core.classifier.ConstraintActivation method)
(ml4eft.core.classifier.CustomActivationFunction method)
(ml4eft.core.classifier.MLP method)
register_parameter() (ml4eft.core.classifier.Classifier method)
(ml4eft.core.classifier.ConstraintActivation method)
(ml4eft.core.classifier.CustomActivationFunction method)
(ml4eft.core.classifier.MLP method)
requires_grad_() (ml4eft.core.classifier.Classifier method)
(ml4eft.core.classifier.ConstraintActivation method)
(ml4eft.core.classifier.CustomActivationFunction method)
(ml4eft.core.classifier.MLP method)
run_sampling() (ml4eft.limits.optimize_ns.Optimize method)
S
save() (ml4eft.limits.optimize_ns.Optimize method)
sigma_part_gg() (ml4eft.core.truth.tt_prod.crossSectionSMEFT method)
sigma_part_qq() (ml4eft.core.truth.tt_prod.crossSectionSMEFT method)
state_dict() (ml4eft.core.classifier.Classifier method)
(ml4eft.core.classifier.ConstraintActivation method)
(ml4eft.core.classifier.CustomActivationFunction method)
(ml4eft.core.classifier.MLP method)
T
TheoryPred (class in ml4eft.core.th_predictions)
to() (ml4eft.core.classifier.Classifier method)
(ml4eft.core.classifier.ConstraintActivation method)
(ml4eft.core.classifier.CustomActivationFunction method)
(ml4eft.core.classifier.MLP method)
train() (ml4eft.core.classifier.Classifier method)
(ml4eft.core.classifier.ConstraintActivation method)
(ml4eft.core.classifier.CustomActivationFunction method)
(ml4eft.core.classifier.MLP method)
train_classifier() (ml4eft.core.classifier.Fitter method)
training_loop() (ml4eft.core.classifier.Fitter method)
type() (ml4eft.core.classifier.Classifier method)
(ml4eft.core.classifier.ConstraintActivation method)
(ml4eft.core.classifier.CustomActivationFunction method)
(ml4eft.core.classifier.MLP method)
W
weight() (in module ml4eft.core.truth.tt_prod)
weight_pt() (in module ml4eft.core.truth.tt_prod)
weight_reset() (ml4eft.core.classifier.Fitter method)
Z
zero_grad() (ml4eft.core.classifier.Classifier method)
(ml4eft.core.classifier.ConstraintActivation method)
(ml4eft.core.classifier.CustomActivationFunction method)
(ml4eft.core.classifier.MLP method)