7.8. Advanced Topics#
- 7.8.3. Flavor Tagger
- Flavor Tagging Principle
- Flavor Tagger Algorithm
- Using the FlavorTagger
- Saving to nTuples
- Efficiency Calculation and Validation Plots
- Tutorials
- Functions
FTCategoryParametersFillParticleLists()add_default_FlavorTagger_aliases()combinerLevel()combinerLevelTeacher()eventLevel()eventLevelTeacher()flavorTagger()getBelleOrBelle2()getEventLevelParticleLists()getFastBDTCategories()getFastBDTCombiner()getMlpFANNCombiner()getTrainingVariables()setInputVariablesWithMask()setInteractionWithDatabase()set_FlavorTagger_pid_aliases()set_FlavorTagger_pid_aliases_legacy()set_GNNFlavorTagger_aliases()
- 7.8.5. Full event interpretation
- Algorithm overview
- Applying the FEI
- FEI and the conditions database
- Sphinx documentation
- Code structure
- Training the FEI
- FEI Training on the Grid
- Troubleshooting
- Resources, Publications etc.
- 7.8.6. Graph-based Full Event Interpretation
- Model training
- Applying the model to data
- Code documentation
- Core modules
- Other modules and functions
load_config()GraFEIIgniteTrainercreate_dataloader_mode_tags()populate_avail_samples()preload_root_data()compute_cosTheta()compute_doca()compute_edge_features()GraphDataSetEdgeLayerGlobalLayerNodeLayerGraFEIModelInvalidLCAMatrixNodelca_to_adjacency()select_good_decay()PerfectEventPerfectLCAPerfectMassesMultiTrainLossnormalize_features()is_valid_tree()masses_to_classes()LCASaverModuleget_object_list()pdg_to_lca_converter()write_hist()GraFEIModule
- 7.8.12. PID Calibration Weights
- Preparing Data Samples for Training
- Training the Weights
- Applying Weights to Data for Performance Analysis
- PID calibration weights on the basf2 path
- pidDataUtils Functions
apply_weights()compute_abl_lrs()compute_contrib()compute_det_lrs()cut_particles()make_binary_lrs()make_bins()make_columns()make_contrib()make_h5()make_labels()make_lrs()make_pid()make_pid_abl()make_pid_det()merge_h5s()produce_analysis_df()read_h5()read_npz()read_root()root_column()softmax()split_h5()