Index

A

add_filter() (fiesta.inference.analytical_models.base.AnalyticalModel method) (fiesta.inference.analytical_models.phenomenological_models.PhenomenologicalModel method) (fiesta.inference.lightcurve_model.CombinedSurrogate method) (fiesta.inference.lightcurve_model.SurrogateModel method) add_name() (fiesta.inference.lightcurve_model.SurrogateModel method) (fiesta.inference.prior.Prior method) AfterglowData (class in fiesta.train.AfterglowData)

AfterglowFlux (class in fiesta.inference.lightcurve_model) AfterglowModel (class in fiesta.inference.analytical_models.phenomenological_models) AfterglowpyData (class in fiesta.train.AfterglowData) AnalyticalModel (class in fiesta.inference.analytical_models.base) append_training_data_file() (in module fiesta.utils) apply_redshift() (in module fiesta.conversions) ArnettModel (class in fiesta.inference.analytical_models.supernova_models) array_mask_from_interval() (in module fiesta.train.DataManager)

B

bandpass_AB_mag() (in module fiesta.conversions) BaseNeuralnet (class in fiesta.train.nn_architectures) batch_size (fiesta.train.neuralnets.NeuralnetConfig attribute) BazinModel (class in fiesta.inference.analytical_models.phenomenological_models) bce() (in module fiesta.train.neuralnets)

benchmark() (fiesta.train.Benchmarker.Benchmarker method) Benchmarker (class in fiesta.train.Benchmarker) BlastwaveData (class in fiesta.train.AfterglowData) BlastwaveRSData (class in fiesta.train.AfterglowData) BullaFlux (class in fiesta.inference.lightcurve_model) BullaLightcurveModel (class in fiesta.inference.lightcurve_model)

C

calculate_error() (fiesta.train.Benchmarker.Benchmarker method) check_filter_compatability() (in module fiesta.inference.systematic) CNN (class in fiesta.train.nn_architectures) CombinedSurrogate (class in fiesta.inference.lightcurve_model) CompositePrior (class in fiesta.inference.prior) compute_gaussian_likelihood() (fiesta.inference.likelihood.LikelihoodBase static method) compute_gaussian_survival() (fiesta.inference.likelihood.LikelihoodBase static method) compute_log10_lbol_rphot() (fiesta.inference.analytical_models.base.AnalyticalModel method) (fiesta.inference.analytical_models.kilonova_models.MagnetarBoostedKilonovaModel method) (fiesta.inference.analytical_models.kilonova_models.MetzgerFullModel method) (fiesta.inference.analytical_models.kilonova_models.MetzgerModel method) (fiesta.inference.analytical_models.kilonova_models.OneComponentKilonovaModel method) (fiesta.inference.analytical_models.phenomenological_models.EvolvingBlackbodyModel method) (fiesta.inference.analytical_models.shock_powered_models.ShockCoolingModel method) (fiesta.inference.analytical_models.shock_powered_models.ShockedCocoonModel method) (fiesta.inference.analytical_models.supernova_models.ArnettModel method) (fiesta.inference.analytical_models.supernova_models.CSMInteractionModel method) (fiesta.inference.analytical_models.supernova_models.MagnetarPoweredSNModel method) (fiesta.inference.analytical_models.supernova_models.NickelCobaltModel method) (fiesta.inference.analytical_models.tde_models.TDEAnalyticalModel method) compute_output() (fiesta.inference.lightcurve_model.FluxModel method) (fiesta.inference.lightcurve_model.LightcurveModel method) (fiesta.inference.lightcurve_model.SurrogateModel method) compute_shape() (fiesta.inference.analytical_models.phenomenological_models.AfterglowModel method) (fiesta.inference.analytical_models.phenomenological_models.BazinModel method) (fiesta.inference.analytical_models.phenomenological_models.PhenomenologicalModel method) (fiesta.inference.analytical_models.phenomenological_models.PhenomenologicalTDEModel method) (fiesta.inference.analytical_models.phenomenological_models.VillarModel method)

compute_trunc_gaussian_likelihood() (fiesta.inference.likelihood.LikelihoodBase static method) concatenate_redshift() (in module fiesta.train.DataManager) ConstrainedPrior (class in fiesta.inference.prior) Constraint (class in fiesta.inference.prior) constraint_penalty() (fiesta.inference.analytical_models.phenomenological_models.VillarModel method) constraints (fiesta.inference.prior.ConstrainedPrior attribute) conv_layer_sizes (fiesta.train.nn_architectures.CNN attribute) conversion (fiesta.inference.prior.ConstrainedPrior attribute) convert_gwemopt_to_h5() (in module fiesta.utils) convert_POSSIS_outputs_to_h5() (in module fiesta.utils) convert_to_mag() (fiesta.inference.lightcurve_model.FluxModel method) (fiesta.inference.lightcurve_model.LightcurveModel method) (fiesta.inference.lightcurve_model.SurrogateModel method) corner_plot() (in module fiesta.inference.plot) create_injection() (fiesta.inference.injection.InjectionBase method) create_injection_from_mags() (fiesta.inference.injection.InjectionBase method) create_raw_data() (fiesta.train.AfterglowData.AfterglowData method) (fiesta.train.AfterglowData.BlastwaveData method) (fiesta.train.AfterglowData.BlastwaveRSData method) create_special_data() (fiesta.train.AfterglowData.AfterglowData method) create_t_detect() (fiesta.inference.injection.InjectionBase method) CSMInteractionModel (class in fiesta.inference.analytical_models.supernova_models) cut_data_to_time_range() (fiesta.inference.likelihood.LikelihoodBase method) CVAE (class in fiesta.train.neuralnets) (class in fiesta.train.nn_architectures) CVAETrainer (class in fiesta.train.FluxTrainer)

D

data_tmax (fiesta.inference.likelihood.LikelihoodBase attribute) data_tmin (fiesta.inference.likelihood.LikelihoodBase attribute) DataManager (class in fiesta.train.DataManager) datapoints_det (fiesta.inference.likelihood.EMLikelihood attribute) (fiesta.inference.likelihood.FluxLikelihood attribute) (fiesta.inference.likelihood.LikelihoodBase attribute) datapoints_err (fiesta.inference.likelihood.EMLikelihood attribute) (fiesta.inference.likelihood.FluxLikelihood attribute) (fiesta.inference.likelihood.LikelihoodBase attribute)

datapoints_nondet (fiesta.inference.likelihood.EMLikelihood attribute) (fiesta.inference.likelihood.FluxLikelihood attribute) (fiesta.inference.likelihood.LikelihoodBase attribute) DataScaler (class in fiesta.scalers) Decoder (class in fiesta.train.nn_architectures) dense_layer_sizes (fiesta.train.nn_architectures.CNN attribute) detection_limit (fiesta.inference.likelihood.LikelihoodBase attribute) directory (fiesta.inference.lightcurve_model.LightcurveModel attribute) (fiesta.inference.lightcurve_model.SurrogateModel attribute) dropout_rate (fiesta.train.nn_architectures.MLP attribute)

E

EMLikelihood (class in fiesta.inference.likelihood) Encoder (class in fiesta.train.nn_architectures) error_budget (fiesta.inference.likelihood.LikelihoodBase attribute) eval_step() (fiesta.train.neuralnets.MLP static method) evaluate() (fiesta.inference.likelihood.EMLikelihood method) (fiesta.inference.likelihood.FluxLikelihood method) (fiesta.inference.likelihood.LikelihoodBase method)

evaluate_constraints() (fiesta.inference.prior.ConstrainedPrior method) EvolvingBlackbodyModel (class in fiesta.inference.analytical_models.phenomenological_models) extinctionFactorP92SMC() (in module fiesta.extinction)

F

factor (fiesta.inference.prior.ConstrainedPrior attribute) fetch_prior_params() (in module fiesta.inference.systematic) fiesta.constants module fiesta.conversions module fiesta.extinction module fiesta.filters module fiesta.inference.analytical_models.base module fiesta.inference.analytical_models.kilonova_models module fiesta.inference.analytical_models.phenomenological_models module fiesta.inference.analytical_models.salt3_models module fiesta.inference.analytical_models.shock_powered_models module fiesta.inference.analytical_models.supernova_models module fiesta.inference.analytical_models.tde_models module fiesta.inference.injection module fiesta.inference.lightcurve_model module fiesta.inference.likelihood module fiesta.inference.plot module fiesta.inference.prior module fiesta.inference.samplers module fiesta.inference.systematic module fiesta.scalers module fiesta.train.AfterglowData module

fiesta.train.Benchmarker module fiesta.train.DataManager module fiesta.train.FluxTrainer module fiesta.train.LightcurveTrainer module fiesta.train.neuralnets module fiesta.train.nn_architectures module fiesta.utils module Filter (class in fiesta.filters) filters (fiesta.inference.analytical_models.base.AnalyticalModel attribute) (fiesta.inference.analytical_models.salt3_models.SALT3Model attribute) (fiesta.inference.lightcurve_model.SurrogateModel attribute) (fiesta.inference.likelihood.LikelihoodBase attribute) (fiesta.train.LightcurveTrainer.LightcurveTrainer attribute) fit() (fiesta.scalers.DataScaler method) (fiesta.scalers.ImageScaler method) (fiesta.scalers.MinMaxScalerJax method) (fiesta.scalers.ParameterScaler method) (fiesta.scalers.PCADecomposer method) (fiesta.scalers.Scaler method) (fiesta.scalers.StandardScalerJax method) (fiesta.scalers.SVDDecomposer method) (fiesta.train.FluxTrainer.CVAETrainer method) (fiesta.train.FluxTrainer.FluxTrainer method) (fiesta.train.FluxTrainer.PCATrainer method) (fiesta.train.LightcurveTrainer.LightcurveTrainer method) fit_transform() (fiesta.scalers.Scaler method) fix_edges() (fiesta.scalers.ImageScaler static method) fix_nans() (fiesta.train.AfterglowData.AfterglowData method) Flambda_to_Fnu() (in module fiesta.conversions) FluxLikelihood (class in fiesta.inference.likelihood) FluxModel (class in fiesta.inference.lightcurve_model) FluxTrainer (class in fiesta.train.FluxTrainer) Fnu_to_Flambda() (in module fiesta.conversions)

G

get_chisquared() (fiesta.inference.plot.LightcurvePlotter method) get_data() (fiesta.train.Benchmarker.Benchmarker method) get_default_directory() (in module fiesta.inference.lightcurve_model) get_error_distribution() (fiesta.train.Benchmarker.Benchmarker method)

get_gaussprob_det() (fiesta.inference.likelihood.LikelihoodBase method) get_gaussprob_nondet() (fiesta.inference.likelihood.LikelihoodBase method) get_mags() (fiesta.filters.Filter method) get_parser() (in module fiesta.inference.injection) get_raw_data() (fiesta.train.AfterglowData.AfterglowData method)

H

has_baseline (fiesta.inference.analytical_models.phenomenological_models.AfterglowModel attribute) (fiesta.inference.analytical_models.phenomenological_models.BazinModel attribute) (fiesta.inference.analytical_models.phenomenological_models.PhenomenologicalModel attribute) (fiesta.inference.analytical_models.phenomenological_models.PhenomenologicalTDEModel attribute) (fiesta.inference.analytical_models.phenomenological_models.VillarModel attribute)

hidden_layer_sizes (fiesta.train.neuralnets.NeuralnetConfig attribute) (fiesta.train.nn_architectures.CVAE attribute)

I

identity() (in module fiesta.scalers) ImageScaler (class in fiesta.scalers) initialize_nus() (fiesta.train.AfterglowData.AfterglowData method) initialize_times() (fiesta.train.AfterglowData.AfterglowData method) InjectionAfterglowpy (class in fiesta.inference.injection) InjectionBase (class in fiesta.inference.injection) InjectionKN (class in fiesta.inference.injection) InjectionPyblastafterglow (class in fiesta.inference.injection) InjectionSurrogate (class in fiesta.inference.injection)

integrated_AB_mag() (in module fiesta.conversions) InterpedPrior (class in fiesta.inference.prior) interpolate_nans() (in module fiesta.utils) inverse_transform() (fiesta.scalers.DataScaler method) (fiesta.scalers.MinMaxScalerJax method) (fiesta.scalers.PCADecomposer method) (fiesta.scalers.Scaler method) (fiesta.scalers.StandardScalerJax method) (fiesta.scalers.SVDDecomposer method)

J

JetsimpyData (in module fiesta.train.AfterglowData)

K

kernel_sizes (fiesta.train.nn_architectures.CNN attribute)

kld() (in module fiesta.train.neuralnets)

L

latent_dim (fiesta.train.neuralnets.NeuralnetConfig attribute) (fiesta.train.nn_architectures.CVAE attribute) layer_sizes (fiesta.train.neuralnets.NeuralnetConfig attribute) (fiesta.train.nn_architectures.BaseNeuralnet attribute) (fiesta.train.nn_architectures.Encoder attribute) learning_rate (fiesta.train.neuralnets.NeuralnetConfig attribute) LightcurveModel (class in fiesta.inference.lightcurve_model) LightcurvePlotter (class in fiesta.inference.plot) LightcurveTrainer (class in fiesta.train.LightcurveTrainer) LikelihoodBase (class in fiesta.inference.likelihood) load_event_data() (in module fiesta.utils) load_filters() (fiesta.inference.lightcurve_model.FluxModel method) (fiesta.inference.lightcurve_model.LightcurveModel method) (fiesta.train.LightcurveTrainer.SVDTrainer method) load_full_model() (fiesta.train.neuralnets.CVAE static method) load_metadata() (fiesta.inference.lightcurve_model.SurrogateModel method) load_model() (fiesta.train.neuralnets.CVAE static method) (fiesta.train.neuralnets.MLP static method)

load_networks() (fiesta.inference.lightcurve_model.FluxModel method) (fiesta.inference.lightcurve_model.LightcurveModel method) load_raw_data_from_file() (fiesta.train.DataManager.DataManager method) log_prob() (fiesta.inference.prior.CompositePrior method) (fiesta.inference.prior.ConstrainedPrior method) (fiesta.inference.prior.Constraint method) (fiesta.inference.prior.InterpedPrior method) (fiesta.inference.prior.LogUniform method) (fiesta.inference.prior.Normal method) (fiesta.inference.prior.Prior method) (fiesta.inference.prior.Sine method) (fiesta.inference.prior.TruncatedNormal method) (fiesta.inference.prior.Uniform method) (fiesta.inference.prior.UniformVolume method) LogUniform (class in fiesta.inference.prior) luminosity_distance_to_redshift() (in module fiesta.conversions)

M

mag_app_from_mag_abs() (in module fiesta.conversions) mag_to_flux() (fiesta.inference.likelihood.FluxLikelihood method) MagnetarBoostedKilonovaModel (class in fiesta.inference.analytical_models.kilonova_models) MagnetarPoweredSNModel (class in fiesta.inference.analytical_models.supernova_models) metadata (fiesta.inference.lightcurve_model.LightcurveModel attribute) MetzgerFullModel (class in fiesta.inference.analytical_models.kilonova_models) MetzgerModel (class in fiesta.inference.analytical_models.kilonova_models) MinMaxScalerJax (class in fiesta.scalers) mJys_to_mag_jnp() (in module fiesta.conversions) mJys_to_mag_np() (in module fiesta.conversions) MLP (class in fiesta.train.neuralnets) (class in fiesta.train.nn_architectures) model (fiesta.inference.likelihood.LikelihoodBase attribute) models (fiesta.inference.lightcurve_model.LightcurveModel attribute) module fiesta.constants fiesta.conversions fiesta.extinction fiesta.filters fiesta.inference.analytical_models.base fiesta.inference.analytical_models.kilonova_models fiesta.inference.analytical_models.phenomenological_models fiesta.inference.analytical_models.salt3_models fiesta.inference.analytical_models.shock_powered_models fiesta.inference.analytical_models.supernova_models fiesta.inference.analytical_models.tde_models fiesta.inference.injection fiesta.inference.lightcurve_model fiesta.inference.likelihood fiesta.inference.plot fiesta.inference.prior fiesta.inference.samplers fiesta.inference.systematic fiesta.scalers fiesta.train.AfterglowData fiesta.train.Benchmarker fiesta.train.DataManager fiesta.train.FluxTrainer fiesta.train.LightcurveTrainer fiesta.train.neuralnets fiesta.train.nn_architectures fiesta.utils

monochromatic_AB_mag() (in module fiesta.conversions) Mpc_to_cm() (in module fiesta.conversions) mse() (in module fiesta.train.neuralnets) mu (fiesta.inference.prior.Normal attribute) (fiesta.inference.prior.TruncatedNormal attribute)

N

n_dim (fiesta.inference.prior.Prior property) name (fiesta.inference.lightcurve_model.SurrogateModel attribute) (fiesta.train.FluxTrainer.FluxTrainer attribute) (fiesta.train.LightcurveTrainer.LightcurveTrainer attribute) (fiesta.train.neuralnets.NeuralnetConfig attribute) (fiesta.train.nn_architectures.BaseNeuralnet attribute) (fiesta.train.nn_architectures.CNN attribute) (fiesta.train.nn_architectures.CVAE attribute) (fiesta.train.nn_architectures.Decoder attribute) (fiesta.train.nn_architectures.Encoder attribute) (fiesta.train.nn_architectures.MLP attribute)

naming (fiesta.inference.prior.Prior attribute) nb_epochs (fiesta.train.neuralnets.NeuralnetConfig attribute) nb_report (fiesta.train.neuralnets.NeuralnetConfig attribute) NeuralnetConfig (class in fiesta.train.neuralnets) NickelCobaltModel (class in fiesta.inference.analytical_models.supernova_models) Normal (class in fiesta.inference.prior)

O

OneComponentKilonovaModel (class in fiesta.inference.analytical_models.kilonova_models) outdir (fiesta.train.FluxTrainer.FluxTrainer attribute) (fiesta.train.LightcurveTrainer.LightcurveTrainer attribute)

output_shape (fiesta.train.nn_architectures.CNN attribute) output_size (fiesta.train.neuralnets.NeuralnetConfig attribute) (fiesta.train.nn_architectures.CVAE attribute)

P

parameter_names (fiesta.inference.analytical_models.base.AnalyticalModel attribute) (fiesta.inference.analytical_models.kilonova_models.MagnetarBoostedKilonovaModel attribute) (fiesta.inference.analytical_models.kilonova_models.MetzgerFullModel attribute) (fiesta.inference.analytical_models.kilonova_models.MetzgerModel attribute) (fiesta.inference.analytical_models.kilonova_models.OneComponentKilonovaModel attribute) (fiesta.inference.analytical_models.phenomenological_models.EvolvingBlackbodyModel attribute) (fiesta.inference.analytical_models.salt3_models.SALT3Model attribute) (fiesta.inference.analytical_models.shock_powered_models.ShockCoolingModel attribute) (fiesta.inference.analytical_models.shock_powered_models.ShockedCocoonModel attribute) (fiesta.inference.analytical_models.supernova_models.ArnettModel attribute) (fiesta.inference.analytical_models.supernova_models.CSMInteractionModel attribute) (fiesta.inference.analytical_models.supernova_models.MagnetarPoweredSNModel attribute) (fiesta.inference.analytical_models.supernova_models.NickelCobaltModel attribute) (fiesta.inference.analytical_models.tde_models.TDEAnalyticalModel attribute) (fiesta.inference.lightcurve_model.SurrogateModel attribute) (fiesta.train.FluxTrainer.FluxTrainer attribute) (fiesta.train.LightcurveTrainer.LightcurveTrainer attribute) ParameterScaler (class in fiesta.scalers) parent (fiesta.train.nn_architectures.BaseNeuralnet attribute) (fiesta.train.nn_architectures.CNN attribute) (fiesta.train.nn_architectures.CVAE attribute) (fiesta.train.nn_architectures.Decoder attribute) (fiesta.train.nn_architectures.Encoder attribute) (fiesta.train.nn_architectures.MLP attribute) pass_meta_data() (fiesta.train.DataManager.DataManager method) PCADecomposer (class in fiesta.scalers) PCATrainer (class in fiesta.train.FluxTrainer) PhenomenologicalModel (class in fiesta.inference.analytical_models.phenomenological_models) PhenomenologicalTDEModel (class in fiesta.inference.analytical_models.phenomenological_models) plot_best_fit_lc() (fiesta.inference.plot.LightcurvePlotter method) plot_data() (fiesta.inference.plot.LightcurvePlotter method) plot_error_distribution() (fiesta.train.Benchmarker.Benchmarker method) plot_error_over_time() (fiesta.train.Benchmarker.Benchmarker method)

plot_example_lc() (fiesta.train.FluxTrainer.FluxTrainer method) (fiesta.train.LightcurveTrainer.LightcurveTrainer method) plot_learning_curve() (fiesta.train.FluxTrainer.FluxTrainer method) plot_lightcurves_mismatch() (fiesta.train.Benchmarker.Benchmarker method) plot_sample_lc() (fiesta.inference.plot.LightcurvePlotter method) plot_sys_uncertainty_band() (fiesta.inference.plot.LightcurvePlotter method) plot_worst_lightcurves() (fiesta.train.Benchmarker.Benchmarker method) predict() (fiesta.inference.analytical_models.base.AnalyticalModel method) (fiesta.inference.analytical_models.phenomenological_models.PhenomenologicalModel method) (fiesta.inference.analytical_models.salt3_models.SALT3Model method) (fiesta.inference.lightcurve_model.CombinedSurrogate method) (fiesta.inference.lightcurve_model.SurrogateModel method) predict_abs_mag() (fiesta.inference.lightcurve_model.SurrogateModel method) predict_log_flux() (fiesta.inference.lightcurve_model.FluxModel method) preprocess() (fiesta.train.FluxTrainer.CVAETrainer method) (fiesta.train.FluxTrainer.FluxTrainer method) (fiesta.train.FluxTrainer.PCATrainer method) (fiesta.train.LightcurveTrainer.LightcurveTrainer method) (fiesta.train.LightcurveTrainer.SVDTrainer method) preprocess_cVAE() (fiesta.train.DataManager.DataManager method) preprocess_pca() (fiesta.train.DataManager.DataManager method) preprocess_svd() (fiesta.train.DataManager.DataManager method) print_correlations() (fiesta.train.Benchmarker.Benchmarker method) print_file_info() (fiesta.train.DataManager.DataManager method) Prior (class in fiesta.inference.prior) priors (fiesta.inference.prior.CompositePrior attribute) process_file() (in module fiesta.inference.systematic) project_input() (fiesta.inference.lightcurve_model.FluxModel method) (fiesta.inference.lightcurve_model.LightcurveModel method) (fiesta.inference.lightcurve_model.SurrogateModel method) project_output() (fiesta.inference.lightcurve_model.FluxModel method) (fiesta.inference.lightcurve_model.LightcurveModel method) (fiesta.inference.lightcurve_model.SurrogateModel method) PyblastafterglowData (class in fiesta.train.AfterglowData)

R

randomize_nondetections() (fiesta.inference.injection.InjectionBase method) read_gwemopt_file() (in module fiesta.utils) read_gwemopt_parameters() (in module fiesta.utils) read_metadata_from_file() (fiesta.train.DataManager.DataManager method) read_parameters_POSSIS() (in module fiesta.utils) read_POSSIS_file() (in module fiesta.utils) redshift_to_luminosity_distance() (in module fiesta.conversions) redshifted_magnitude() (in module fiesta.train.DataManager) run_afterglow_model() (fiesta.train.AfterglowData.AfterglowData method) (fiesta.train.AfterglowData.AfterglowpyData method) (fiesta.train.AfterglowData.BlastwaveData method) (fiesta.train.AfterglowData.BlastwaveRSData method) (fiesta.train.AfterglowData.PyblastafterglowData method)

RunAfterglowpy (class in fiesta.train.AfterglowData) RunBlastwave (class in fiesta.train.AfterglowData) RunBlastwaveRS (class in fiesta.train.AfterglowData) RunJetsimpy (in module fiesta.train.AfterglowData) RunPyblastafterglow (class in fiesta.train.AfterglowData)

S

SALT3Model (class in fiesta.inference.analytical_models.salt3_models) sample() (fiesta.inference.prior.CompositePrior method) (fiesta.inference.prior.ConstrainedPrior method) (fiesta.inference.prior.InterpedPrior method) (fiesta.inference.prior.LogUniform method) (fiesta.inference.prior.Normal method) (fiesta.inference.prior.Prior method) (fiesta.inference.prior.Sine method) (fiesta.inference.prior.TruncatedNormal method) (fiesta.inference.prior.Uniform method) (fiesta.inference.prior.UniformVolume method) save() (fiesta.train.FluxTrainer.FluxTrainer method) (fiesta.train.LightcurveTrainer.LightcurveTrainer method) save_model() (fiesta.train.neuralnets.CVAE method) (fiesta.train.neuralnets.MLP method) Scaler (class in fiesta.scalers) scope (fiesta.train.nn_architectures.BaseNeuralnet attribute) (fiesta.train.nn_architectures.CNN attribute) (fiesta.train.nn_architectures.CVAE attribute) (fiesta.train.nn_architectures.Decoder attribute) (fiesta.train.nn_architectures.Encoder attribute) (fiesta.train.nn_architectures.MLP attribute) serialize() (in module fiesta.train.neuralnets) set_up_domain_mask() (fiesta.train.DataManager.DataManager method)

setup() (fiesta.train.nn_architectures.BaseNeuralnet method) (fiesta.train.nn_architectures.CNN method) (fiesta.train.nn_architectures.CVAE method) (fiesta.train.nn_architectures.Encoder method) (fiesta.train.nn_architectures.MLP method) setup_filters_and_data() (fiesta.inference.likelihood.LikelihoodBase method) setup_systematic_from_file() (in module fiesta.inference.systematic) setup_systematics_basic() (in module fiesta.inference.systematic) shape_parameter_names (fiesta.inference.analytical_models.phenomenological_models.AfterglowModel attribute) (fiesta.inference.analytical_models.phenomenological_models.BazinModel attribute) (fiesta.inference.analytical_models.phenomenological_models.PhenomenologicalModel attribute) (fiesta.inference.analytical_models.phenomenological_models.PhenomenologicalTDEModel attribute) (fiesta.inference.analytical_models.phenomenological_models.VillarModel attribute) ShockCoolingModel (class in fiesta.inference.analytical_models.shock_powered_models) ShockedCocoonModel (class in fiesta.inference.analytical_models.shock_powered_models) sigma (fiesta.inference.prior.Normal attribute) (fiesta.inference.prior.TruncatedNormal attribute) Sine (class in fiesta.inference.prior) spatial (fiesta.train.nn_architectures.CNN attribute) StandardScalerJax (class in fiesta.scalers) supplement_time() (fiesta.train.AfterglowData.PyblastafterglowData method) SurrogateModel (class in fiesta.inference.lightcurve_model) SVDDecomposer (class in fiesta.scalers) SVDTrainer (class in fiesta.train.LightcurveTrainer)

T

TDEAnalyticalModel (class in fiesta.inference.analytical_models.tde_models) thetaCore_inclination() (in module fiesta.scalers) thetaWing_inclination() (in module fiesta.scalers) times (fiesta.inference.analytical_models.base.AnalyticalModel attribute) (fiesta.inference.analytical_models.salt3_models.SALT3Model attribute) (fiesta.inference.lightcurve_model.SurrogateModel attribute) times_det (fiesta.inference.likelihood.EMLikelihood attribute) (fiesta.inference.likelihood.FluxLikelihood attribute) (fiesta.inference.likelihood.LikelihoodBase attribute) times_nondet (fiesta.inference.likelihood.EMLikelihood attribute) (fiesta.inference.likelihood.FluxLikelihood attribute) (fiesta.inference.likelihood.LikelihoodBase attribute) train_loop() (fiesta.train.neuralnets.CVAE method) (fiesta.train.neuralnets.MLP method)

train_step() (fiesta.train.neuralnets.CVAE static method) (fiesta.train.neuralnets.MLP static method) train_test_split() (in module fiesta.utils) transform() (fiesta.inference.prior.Prior method) (fiesta.scalers.DataScaler method) (fiesta.scalers.MinMaxScalerJax method) (fiesta.scalers.ParameterScaler method) (fiesta.scalers.PCADecomposer method) (fiesta.scalers.Scaler method) (fiesta.scalers.StandardScalerJax method) (fiesta.scalers.SVDDecomposer method) transforms (fiesta.inference.prior.Prior attribute) trigger_time (fiesta.inference.likelihood.LikelihoodBase attribute) truncated_gaussian() (in module fiesta.utils) TruncatedNormal (class in fiesta.inference.prior)

U

Uniform (class in fiesta.inference.prior)

UniformSourceFrame (class in fiesta.inference.prior) UniformVolume (class in fiesta.inference.prior)

V

vectorized_evaluate() (fiesta.inference.likelihood.LikelihoodBase method)

VillarModel (class in fiesta.inference.analytical_models.phenomenological_models) vpredict() (fiesta.inference.lightcurve_model.SurrogateModel method)

W

write_event_data() (in module fiesta.utils)

write_to_file() (fiesta.inference.injection.InjectionBase method) write_training_data() (in module fiesta.utils)

X

X_scaler (fiesta.inference.lightcurve_model.LightcurveModel attribute) xmax (fiesta.inference.prior.Constraint attribute) (fiesta.inference.prior.LogUniform attribute) (fiesta.inference.prior.Sine attribute) (fiesta.inference.prior.TruncatedNormal attribute) (fiesta.inference.prior.Uniform attribute) (fiesta.inference.prior.UniformSourceFrame attribute) (fiesta.inference.prior.UniformVolume attribute)

xmin (fiesta.inference.prior.Constraint attribute) (fiesta.inference.prior.LogUniform attribute) (fiesta.inference.prior.Sine attribute) (fiesta.inference.prior.TruncatedNormal attribute) (fiesta.inference.prior.Uniform attribute) (fiesta.inference.prior.UniformSourceFrame attribute) (fiesta.inference.prior.UniformVolume attribute) xx (fiesta.inference.prior.InterpedPrior attribute)

Y

y_scaler (fiesta.inference.lightcurve_model.LightcurveModel attribute)

yy (fiesta.inference.prior.InterpedPrior attribute)