Index

A

ab_magnitudes() (threeML.utils.photometry.filter_set.FilterSet method), [1] abounds (threeML.utils.polarization.binned_polarization.BinnedModulationCurve property), [1] absolute_start (threeML.utils.interval.IntervalSet property), [1] absolute_start_time (threeML.utils.time_interval.TimeIntervalSet property), [1] absolute_stop (threeML.utils.interval.IntervalSet property), [1] absolute_stop_time (threeML.utils.time_interval.TimeIntervalSet property), [1] Accent (threeML.config.plotting_structure.MPLCmap attribute), [1] Accent_r (threeML.config.plotting_structure.MPLCmap attribute), [1] activate_logs() (in module threeML.io.logging), [1] activate_progress_bars() (in module threeML.io.logging), [1] activate_warnings() (in module threeML.io.logging), [1] active_containers (threeML.plugins.experimental.CastroLike.CastroLike property), [1] add_callback() (threeML.minimizer.grid_minimizer.GridMinimizer method), [1] add_data() (threeML.io.plotting.data_residual_plot.ResidualPlot method), [1] add_dimensionless_model() (threeML.io.plotting.model_plot.SpectralContourPlot method), [1] add_inverse_variance_weighted() (threeML.utils.spectrum.binned_spectrum.BinnedSpectrum method), [1] add_method() (in module threeML.minimizer.minuit_minimizer), [1] add_model() (threeML.io.plotting.data_residual_plot.ResidualPlot method), [1] (threeML.io.plotting.model_plot.SpectralContourPlot method), [1] add_model_step() (threeML.io.plotting.data_residual_plot.ResidualPlot method), [1] add_parameter_to_grid() (threeML.minimizer.grid_minimizer.GridMinimizer method), [1] afmhot (threeML.config.plotting_structure.MPLCmap attribute), [1] afmhot_r (threeML.config.plotting_structure.MPLCmap attribute), [1] aic() (in module threeML.utils.statistics.stats_tools), [1] algorithm_name (threeML.minimizer.minimization.Minimizer property), [1] AllFitFailed, [1] alpha (threeML.config.plotting_structure.ContourStyle attribute), [1] (threeML.utils.statistics.stats_tools.Significance property), [1] ANALYSIS_RESULTS (class in threeML.analysis_results), [1] ANALYSIS_RESULTS_HDF (class in threeML.analysis_results), [1] analysis_type (threeML.bayesian.bayesian_analysis.BayesianAnalysis property), [1] (threeML.classicMLE.joint_likelihood.JointLikelihood property), [1] AnalysisResultsFITS (class in threeML.analysis_results), [1] AnalysisResultsSet (class in threeML.analysis_results), [1]

ancillary_file (threeML.utils.spectrum.pha_spectrum.PHASpectrum property), [1] (threeML.utils.spectrum.pha_spectrum.PHASpectrumSet property), [1] ApacheDirectory (class in threeML.io.download_from_http), [1] apply_format() (threeML.catalogs.Fermi.FermiGBMBurstCatalog method), [1] (threeML.catalogs.Fermi.FermiGBMTriggerCatalog method), [1] (threeML.catalogs.Fermi.FermiLATSourceCatalog method), [1] (threeML.catalogs.Fermi.FermiLLEBurstCatalog method), [1] (threeML.catalogs.FermiGBM.FermiGBMBurstCatalog method), [1] (threeML.catalogs.FermiGBM.FermiGBMTriggerCatalog method), [1] (threeML.catalogs.FermiLAT.FermiLATSourceCatalog method), [1] (threeML.catalogs.FermiLLE.FermiLLEBurstCatalog method), [1] (threeML.catalogs.Swift.SwiftGRBCatalog method), [1] (threeML.catalogs.VirtualObservatoryCatalog.VirtualObservatoryCatalog method), [1] area_ratio (threeML.plugins.SpectrumLike.SpectrumLike property), [1] arf (threeML.utils.OGIP.response.OGIPResponse property), [1] arf_filename (threeML.utils.OGIP.response.InstrumentResponse property), [1] (threeML.utils.OGIP.response.OGIPResponse property), [1] arg_median() (in module threeML.bayesian.sampler_base), [1] argsort() (threeML.utils.interval.IntervalSet method), [1] array_to_cmap() (in module threeML.bayesian.tutorial_material), [1] arrival_times (threeML.utils.data_builders.fermi.gbm_data.GBMTTEFile property), [1] (threeML.utils.data_builders.fermi.lat_data.LLEFile property), [1] (threeML.utils.time_series.event_list.EventList property), [1] assign_to_source() (threeML.plugins.SpectrumLike.SpectrumLike method), [1] (threeML.plugins.UnresolvedExtendedXYLike.UnresolvedExtendedXYLike method), [1] (threeML.plugins.XYLike.XYLike method), [1] autoemcee (threeML.config.fitting_structure.Sampler attribute), [1] AutoEmceeSampler (class in threeML.bayesian.autoemcee_sampler), [1] autumn (threeML.config.plotting_structure.MPLCmap attribute), [1] autumn_r (threeML.config.plotting_structure.MPLCmap attribute), [1] average (threeML.random_variates.RandomVariates property), [1] (threeML.utils.fitted_objects.fitted_source_handler.GenericFittedSourceHandler property), [1] (threeML.utils.fitted_objects.fitted_source_handler.VariatesContainer property), [1] axes (threeML.io.plotting.data_residual_plot.ResidualPlot property), [1]

B

background_cmap (threeML.config.plotting_structure.BinnedSpectrumPlot attribute), [1] (threeML.config.plotting_structure.FermiSpectrumPlot attribute), [1] background_color (threeML.config.plotting_structure.BinnedSpectrumPlot attribute), [1] (threeML.config.plotting_structure.DataHistPlot attribute), [1] (threeML.config.plotting_structure.FermiSpectrumPlot attribute), [1] (threeML.config.plugin_structure.TimeSeries attribute), [1] background_count_errors (threeML.plugins.SpectrumLike.SpectrumLike property), [1] background_counts (threeML.plugins.SpectrumLike.SpectrumLike property), [1] background_counts_per_interval (threeML.utils.data_builders.time_series_builder.TimeSeriesBuilder property), [1] (threeML.utils.data_builders.TimeSeriesBuilder property), [1] background_exposure (threeML.plugins.SpectrumLike.SpectrumLike property), [1] background_file (threeML.utils.spectrum.pha_spectrum.PHASpectrum property), [1] (threeML.utils.spectrum.pha_spectrum.PHASpectrumSet property), [1] background_integrate_method (threeML.plugins.SpectrumLike.SpectrumLike property), [1] background_mpl_kwargs (threeML.config.plotting_structure.BinnedSpectrumPlot attribute), [1] (threeML.config.plotting_structure.FermiSpectrumPlot attribute), [1] background_noise_model (threeML.plugins.SpectrumLike.SpectrumLike property), [1] background_plugin (threeML.plugins.SpectrumLike.SpectrumLike property), [1] background_poly_order (threeML.utils.data_builders.time_series_builder.TimeSeriesBuilder property), [1] (threeML.utils.data_builders.TimeSeriesBuilder property), [1] background_scale_factor (threeML.plugins.SpectrumLike.SpectrumLike property), [1] background_selection_color (threeML.config.plugin_structure.TimeSeries attribute), [1] background_spectrum (threeML.plugins.SpectrumLike.SpectrumLike property), [1] bad (threeML.utils.spectrum.binned_spectrum.Quality property), [1] bad_channels_color (threeML.config.plotting_structure.DataHistPlot attribute), [1] BadCovariance, [1] BandNode (class in threeML.plugins.PhotometryLike), [1] base_plugin_key (threeML.utils.spectrum.share_spectrum.ShareSpectrum property), [1] bayes (threeML.config.plugin_structure.TimeSeriesFit attribute), [1] bayes_cmap (threeML.config.plotting_structure.PointSourcePlot attribute), [1] bayesian (threeML.config.config_structure.Config attribute), [1] bayesian_blocks() (in module threeML.utils.bayesian_blocks), [1] bayesian_blocks_not_unique() (in module threeML.utils.bayesian_blocks), [1] BayesianAnalysis (class in threeML.bayesian.bayesian_analysis), [1] BayesianAnalysisWrap (class in threeML.bayesian.tutorial_material), [1] BayesianDefault (class in threeML.config.fitting_structure), [1] BayesianResults (class in threeML.analysis_results), [1] BetterMinimumDuringProfiling, [1] bic() (in module threeML.utils.statistics.stats_tools), [1] bin_by_bayesian_blocks() (threeML.utils.binner.TemporalBinner class method), [1] (threeML.utils.time_series.event_list.EventList method), [1] bin_by_constant() (threeML.utils.binner.TemporalBinner class method), [1] (threeML.utils.time_series.event_list.EventList method), [1]

bin_by_custom() (threeML.utils.binner.TemporalBinner class method), [1] (threeML.utils.time_series.event_list.EventList method), [1] bin_by_significance() (threeML.utils.binner.TemporalBinner class method), [1] (threeML.utils.time_series.event_list.EventList method), [1] bin_entries() (threeML.utils.histogram.Histogram method), [1] bin_stack (threeML.utils.interval.IntervalSet property), [1] binary (threeML.config.plotting_structure.MPLCmap attribute), [1] binary_r (threeML.config.plotting_structure.MPLCmap attribute), [1] binned_light_curve_plot() (in module threeML.io.plotting.light_curve_plots), [1] binned_spectrum_set (threeML.utils.time_series.binned_spectrum_series.BinnedSpectrumSeries property), [1] BinnedModulationCurve (class in threeML.utils.polarization.binned_polarization), [1] BinnedSpectrum (class in threeML.utils.spectrum.binned_spectrum), [1] BinnedSpectrumPlot (class in threeML.config.plotting_structure), [1] BinnedSpectrumSeries (class in threeML.utils.time_series.binned_spectrum_series), [1] BinnedSpectrumSet (class in threeML.utils.spectrum.binned_spectrum_set), [1] BinnedSpectrumWithDispersion (class in threeML.utils.spectrum.binned_spectrum), [1] BinnedStatistic (class in threeML.utils.spectrum.spectrum_likelihood), [1] BinningMethodError, [1] bins (threeML.config.plotting_structure.CornerStyle attribute), [1] (threeML.utils.data_builders.time_series_builder.TimeSeriesBuilder property), [1] (threeML.utils.data_builders.TimeSeriesBuilder property), [1] (threeML.utils.time_series.binned_spectrum_series.BinnedSpectrumSeries property), [1] (threeML.utils.time_series.event_list.EventList property), [1] (threeML.utils.time_series.time_series.TimeSeries property), [1] bkg_intervals (threeML.utils.time_series.time_series.TimeSeries property), [1] Blues (threeML.config.plotting_structure.MPLCmap attribute), [1] Blues_r (threeML.config.plotting_structure.MPLCmap attribute), [1] bone (threeML.config.plotting_structure.MPLCmap attribute), [1] bone_r (threeML.config.plotting_structure.MPLCmap attribute), [1] BrBG (threeML.config.plotting_structure.MPLCmap attribute), [1] BrBG_r (threeML.config.plotting_structure.MPLCmap attribute), [1] brg (threeML.config.plotting_structure.MPLCmap attribute), [1] brg_r (threeML.config.plotting_structure.MPLCmap attribute), [1] BuGn (threeML.config.plotting_structure.MPLCmap attribute), [1] BuGn_r (threeML.config.plotting_structure.MPLCmap attribute), [1] BuPu (threeML.config.plotting_structure.MPLCmap attribute), [1] BuPu_r (threeML.config.plotting_structure.MPLCmap attribute), [1] bwr (threeML.config.plotting_structure.MPLCmap attribute), [1] bwr_r (threeML.config.plotting_structure.MPLCmap attribute), [1] by_mc() (threeML.classicMLE.goodness_of_fit.GoodnessOfFit method), [1] (threeML.classicMLE.likelihood_ratio_test.LikelihoodRatioTest method), [1]

C

calculate_point_source_flux() (in module threeML.io.calculate_flux), [1] CannotComputeCovariance, [1] CannotComputeErrors, [1] CannotComputeHessian, [1] CannotImportPlugin, [1] capture_arguments() (in module threeML.bayesian.nautilus_sampler), [1] CastroLike (class in threeML.plugins.experimental.CastroLike), [1] Catalogs (class in threeML.config.catalog_structure), [1] catalogs (threeML.config.catalog_structure.InstrumentCatalog attribute), [1] (threeML.config.config_structure.Config attribute), [1] CatalogServer (class in threeML.config.catalog_structure), [1] ceildiv() (in module threeML.utils.time_series.event_list), [1] (in module threeML.utils.time_series.time_series), [1] Channel (class in threeML.utils.spectrum.binned_spectrum), [1] channel_plot() (in module threeML.io.plotting.light_curve_plots), [1] channel_width (threeML.utils.polarization.binned_polarization.ScatteringChannel property), [1] (threeML.utils.spectrum.binned_spectrum.Channel property), [1] channels_widths (threeML.utils.polarization.binned_polarization.ScatteringChannelSet property), [1] (threeML.utils.spectrum.binned_spectrum.ChannelSet property), [1] ChannelSet (class in threeML.utils.spectrum.binned_spectrum), [1] characterize_sequence() (threeML.analysis_results.AnalysisResultsSet method), [1] cividis (threeML.config.plotting_structure.MPLCmap attribute), [1] cividis_r (threeML.config.plotting_structure.MPLCmap attribute), [1] cleanup_downloaded_GBM_data() (in module threeML.utils.data_download.Fermi_GBM.download_GBM_data), [1] cleanup_downloaded_LLE_data() (in module threeML.utils.data_download.Fermi_LAT.download_LLE_data), [1] clone() (threeML.utils.OGIP.response.InstrumentResponse method), [1] (threeML.utils.polarization.binned_polarization.BinnedModulationCurve method), [1] (threeML.utils.spectrum.binned_spectrum.BinnedSpectrum method), [1] (threeML.utils.spectrum.binned_spectrum.BinnedSpectrumWithDispersion method), [1] (threeML.utils.spectrum.pha_spectrum.PHASpectrum method), [1] (threeML.utils.spectrum.pha_spectrum.PHASpectrumSet method), [1] cmap (threeML.config.plotting_structure.CornerStyle attribute), [1] cmap_intervals() (in module threeML.io.plotting.cmap_cycle), [1] CMRmap (threeML.config.plotting_structure.MPLCmap attribute), [1] CMRmap_r (threeML.config.plotting_structure.MPLCmap attribute), [1] coefficients (threeML.utils.time_series.polynomial.Polynomial property), [1] comparison_corner_plot() (threeML.analysis_results.BayesianResults method), [1] Complex (class in threeML.minimizer.tutorial_material), [1] components (threeML.utils.fitted_objects.fitted_point_sources.FittedPointSourceSpectralHandler property), [1] compute_fermi_relative_mission_times() (in module threeML.utils.fermi_relative_mission_time), [1] compute_TS() (threeML.classicMLE.joint_likelihood.JointLikelihood method), [1] cone_search() (threeML.catalogs.FermiLAT.FermiPySourceCatalog method), [1] (threeML.catalogs.VirtualObservatoryCatalog.VirtualObservatoryCatalog method), [1] ConeSearchFailed, [1] Config (class in threeML.config.config_structure), [1] configuration (threeML.plugins.FermipyLike.FermipyLike property), [1] ConfigurationFileCorrupt, [1] console (threeML.config.config_structure.Logging attribute), [1] containing_bin() (threeML.utils.interval.IntervalSet method), [1] containing_interval() (threeML.utils.interval.IntervalSet method), [1] contents (threeML.utils.histogram.Histogram property), [1] contour_background (threeML.config.fitting_structure.MLEDefault attribute), [1] contour_cmap (threeML.config.fitting_structure.MLEDefault attribute), [1] (threeML.config.plotting_structure.PointSourcePlot attribute), [1]

contour_level_1 (threeML.config.fitting_structure.MLEDefault attribute), [1] contour_level_2 (threeML.config.fitting_structure.MLEDefault attribute), [1] contour_level_3 (threeML.config.fitting_structure.MLEDefault attribute), [1] contour_style (threeML.config.plotting_structure.PointSourcePlot attribute), [1] contourf_kwargs (threeML.config.plotting_structure.CornerStyle attribute), [1] contours() (threeML.minimizer.minimization.Minimizer method), [1] ContourStyle (class in threeML.config.plotting_structure), [1] convergence_plots() (threeML.analysis_results.BayesianResults method), [1] (threeML.bayesian.bayesian_analysis.BayesianAnalysis method), [1] conversion_factor (threeML.utils.fitted_objects.fitted_point_sources.FluxConversion property), [1] convert_fits_analysis_result_to_hdf() (in module threeML.analysis_results), [1] convolve() (threeML.utils.OGIP.response.InstrumentResponse method), [1] cool (threeML.config.plotting_structure.MPLCmap attribute), [1] cool_r (threeML.config.plotting_structure.MPLCmap attribute), [1] coolwarm (threeML.config.plotting_structure.MPLCmap attribute), [1] coolwarm_r (threeML.config.plotting_structure.MPLCmap attribute), [1] copper (threeML.config.plotting_structure.MPLCmap attribute), [1] copper_r (threeML.config.plotting_structure.MPLCmap attribute), [1] corner_plot() (threeML.analysis_results.BayesianResults method), [1] corner_plot_cc() (threeML.analysis_results.BayesianResults method), [1] corner_style (threeML.config.fitting_structure.BayesianDefault attribute), [1] CornerStyle (class in threeML.config.plotting_structure), [1] correlation_matrix (threeML.classicMLE.joint_likelihood.JointLikelihood property), [1] (threeML.minimizer.minimization.Minimizer property), [1] count_errors (threeML.utils.spectrum.binned_spectrum.BinnedSpectrum property), [1] count_errors_per_bin (threeML.utils.spectrum.binned_spectrum_set.BinnedSpectrumSet property), [1] count_per_channel_over_interval() (threeML.utils.time_series.binned_spectrum_series.BinnedSpectrumSeries method), [1] (threeML.utils.time_series.event_list.EventList method), [1] (threeML.utils.time_series.time_series.TimeSeries method), [1] counts (threeML.utils.spectrum.binned_spectrum.BinnedSpectrum property), [1] counts_color (threeML.config.plotting_structure.DataHistPlot attribute), [1] counts_over_interval() (threeML.utils.time_series.binned_spectrum_series.BinnedSpectrumSeries method), [1] (threeML.utils.time_series.event_list.EventList method), [1] (threeML.utils.time_series.time_series.TimeSeries method), [1] counts_per_bin (threeML.utils.spectrum.binned_spectrum_set.BinnedSpectrumSet property), [1] covariance_matrix (threeML.analysis_results.MLEResults property), [1] (threeML.classicMLE.joint_likelihood.JointLikelihood property), [1] (threeML.minimizer.minimization.Minimizer property), [1] (threeML.utils.time_series.polynomial.Polynomial property), [1] coverage_interval (threeML.utils.OGIP.response.InstrumentResponse property), [1] CppInterfaceNotAvailable, [1] create_all_good() (threeML.utils.spectrum.binned_spectrum.Quality class method), [1] create_dummy_response() (threeML.utils.OGIP.response.InstrumentResponse class method), [1] create_time_bins() (threeML.utils.data_builders.time_series_builder.TimeSeriesBuilder method), [1] (threeML.utils.data_builders.TimeSeriesBuilder method), [1] CRITICAL (threeML.config.config_structure.LoggingLevel attribute), [1] cubehelix (threeML.config.plotting_structure.MPLCmap attribute), [1] cubehelix_r (threeML.config.plotting_structure.MPLCmap attribute), [1] current_background_count_errors (threeML.plugins.SpectrumLike.SpectrumLike property), [1] current_background_counts (threeML.plugins.SpectrumLike.SpectrumLike property), [1] current_minimum (threeML.classicMLE.joint_likelihood.JointLikelihood property), [1] current_observed_count_errors (threeML.plugins.SpectrumLike.SpectrumLike property), [1] current_observed_counts (threeML.plugins.SpectrumLike.SpectrumLike property), [1] current_scaled_background_counts (threeML.plugins.SpectrumLike.SpectrumLike property), [1] CustomLikelihoodLike (class in threeML.minimizer.tutorial_material), [1]

D

Dark2 (threeML.config.plotting_structure.MPLCmap attribute), [1] Dark2_r (threeML.config.plotting_structure.MPLCmap attribute), [1] dash_separated_string_to_tuple() (in module threeML.utils.string_utils), [1] data_axis (threeML.io.plotting.data_residual_plot.ResidualPlot property), [1] data_cmap (threeML.config.plotting_structure.BinnedSpectrumPlot attribute), [1] (threeML.config.plotting_structure.FermiSpectrumPlot attribute), [1] data_color (threeML.config.plotting_structure.BinnedSpectrumPlot attribute), [1] (threeML.config.plotting_structure.FermiSpectrumPlot attribute), [1] data_ebin_connect (threeML.utils.spectrum.share_spectrum.ShareSpectrum property), [1] data_ein_edges (threeML.utils.spectrum.share_spectrum.ShareSpectrum property), [1] data_list (threeML.bayesian.bayesian_analysis.BayesianAnalysis property), [1] (threeML.classicMLE.joint_likelihood.JointLikelihood property), [1] data_mpl_kwargs (threeML.config.plotting_structure.BinnedSpectrumPlot attribute), [1] (threeML.config.plotting_structure.FermiSpectrumPlot attribute), [1] data_plot (threeML.config.plugin_structure.OGIP attribute), [1] DataHistPlot (class in threeML.config.plotting_structure), [1] DataList (class in threeML.data_list), [1] dead_time_over_interval() (threeML.utils.time_series.binned_spectrum_series.BinnedSpectrumSeries method), [1] deadtime (threeML.utils.data_builders.fermi.gbm_data.GBMTTEFile property), [1] DEBUG (threeML.config.config_structure.LoggingLevel attribute), [1] debug_logs() (threeML.io.logging.LoggingState method), [1] debug_mode() (in module threeML.io.logging), [1] dec_center (threeML.catalogs.VirtualObservatoryCatalog.VirtualObservatoryCatalog property), [1] default_minimizer (threeML.config.fitting_structure.MLEDefault attribute), [1] default_minimizer_algorithm (threeML.config.fitting_structure.MLEDefault attribute), [1] default_minimizer_callback (threeML.config.fitting_structure.MLEDefault attribute), [1] default_sampler (threeML.config.fitting_structure.BayesianDefault attribute), [1] degree (threeML.utils.time_series.polynomial.Polynomial property), [1] deprecated (class in threeML.exceptions.custom_exceptions), [1] det_name (threeML.utils.data_builders.fermi.gbm_data.GBMCdata property), [1] (threeML.utils.data_builders.fermi.gbm_data.GBMTTEFile property), [1] DetDoesNotExist, [1] developer (threeML.config.config_structure.Logging attribute), [1] dic() (in module threeML.utils.statistics.stats_tools), [1] DictWithPrettyPrint (class in threeML.io.dict_with_pretty_print), [1] DifferentialFluxConversion (class in threeML.utils.fitted_objects.fitted_point_sources), [1]

directories (threeML.io.download_from_http.ApacheDirectory property), [1] disjoint_patch_plot() (in module threeML.io.plotting.light_curve_plots), [1] DispersionSpectrumLike (class in threeML.plugins.DispersionSpectrumLike), [1] display() (threeML.analysis_results.BayesianResults method), [1] (threeML.analysis_results.MLEResults method), [1] (threeML.io.dict_with_pretty_print.DictWithPrettyPrint method), [1] (threeML.io.results_table.ResultsTable method), [1] (threeML.plugins.SpectrumLike.SpectrumLike method), [1] (threeML.utils.data_builders.fermi.lat_transient_builder.LATLikelihoodParameter method), [1] (threeML.utils.data_builders.fermi.lat_transient_builder.TransientLATDataBuilder method), [1] (threeML.utils.data_builders.TransientLATDataBuilder method), [1] (threeML.utils.histogram.Histogram method), [1] (threeML.utils.time_interval.TimeIntervalSet method), [1] display_filters() (threeML.plugins.PhotometryLike.PhotometryLike method), [1] display_model() (threeML.plugins.FermipyLike.FermipyLike method), [1] (threeML.plugins.SpectrumLike.SpectrumLike method), [1] display_photometry_model_magnitudes() (in module threeML.io.plotting.post_process_data_plots), [1] display_rsp() (threeML.plugins.DispersionSpectrumLike.DispersionSpectrumLike method), [1] display_spectrum_model_counts() (in module threeML.io.plotting.post_process_data_plots), [1] DivParser (class in threeML.utils.data_download.Fermi_LAT.download_LAT_data), [1] download() (threeML.io.download_from_http.ApacheDirectory method), [1] download_all_files() (threeML.io.download_from_http.ApacheDirectory method), [1] download_file_from_ftp() (in module threeML.io.download_from_ftp), [1] download_files_from_directory_ftp() (in module threeML.io.download_from_ftp), [1] download_GBM_daily_data() (in module threeML.utils.data_download.Fermi_GBM.download_GBM_data), [1] download_GBM_trigger_data() (in module threeML.utils.data_download.Fermi_GBM.download_GBM_data), [1] download_LAT_data() (in module threeML.utils.data_download.Fermi_LAT.download_LAT_data), [1] download_LLE_trigger_data() (in module threeML.utils.data_download.Fermi_LAT.download_LLE_data), [1] duration (threeML.utils.time_interval.TimeInterval property), [1] dynesty_dynamic (threeML.config.fitting_structure.Sampler attribute), [1] dynesty_dynmaic_setup (threeML.config.fitting_structure.BayesianDefault attribute), [1] dynesty_nested (threeML.config.fitting_structure.Sampler attribute), [1] dynesty_nested_setup (threeML.config.fitting_structure.BayesianDefault attribute), [1] DynestyDynamicSampler (class in threeML.bayesian.dynesty_sampler), [1] DynestyNestedSampler (class in threeML.bayesian.dynesty_sampler), [1] DynestyPool (class in threeML.bayesian.dynesty_sampler), [1]

E

EBOUNDS (class in threeML.utils.OGIP.response), [1] ebounds (threeML.utils.OGIP.response.InstrumentResponse property), [1] (threeML.utils.OGIP.response.InstrumentResponseSet property), [1] edges (threeML.utils.interval.IntervalSet property), [1] effective_wavelength (threeML.utils.photometry.filter_set.FilterSet property), [1] emax (threeML.config.plotting_structure.PointSourcePlot attribute), [1] emcee (threeML.config.fitting_structure.Sampler attribute), [1] emcee_setup (threeML.config.fitting_structure.BayesianDefault attribute), [1] EmceeSampler (class in threeML.bayesian.emcee_sampler), [1] emin (threeML.config.plotting_structure.PointSourcePlot attribute), [1] ene_unit (threeML.config.plotting_structure.PointSourcePlot attribute), [1] energies (threeML.utils.data_builders.fermi.gbm_data.GBMCdata property), [1] (threeML.utils.data_builders.fermi.gbm_data.GBMTTEFile property), [1] (threeML.utils.data_builders.fermi.lat_data.LLEFile property), [1] energy_boundaries (threeML.plugins.SpectrumLike.SpectrumLike property), [1] energy_edges (threeML.utils.data_builders.fermi.lat_data.LLEFile property), [1] energy_to_channel() (threeML.utils.OGIP.response.InstrumentResponse method), [1] equal_tail_interval() (threeML.random_variates.RandomVariates method), [1] ERROR (threeML.config.config_structure.LoggingLevel attribute), [1] error (threeML.utils.time_series.polynomial.Polynomial property), [1] errors (threeML.utils.histogram.Histogram property), [1] evaluate() (threeML.minimizer.tutorial_material.Complex method), [1] (threeML.minimizer.tutorial_material.Simple method), [1] event_file (threeML.utils.data_builders.fermi.lat_transient_builder.LATObservation property), [1]

EventList (class in threeML.utils.time_series.event_list), [1] EventListWithDeadTime (class in threeML.utils.time_series.event_list), [1] EventListWithDeadTimeFraction (class in threeML.utils.time_series.event_list), [1] EventListWithLiveTime (class in threeML.utils.time_series.event_list), [1] EventObservation (class in threeML.plugins.UnbinnedPoissonLike), [1] events (threeML.plugins.UnbinnedPoissonLike.EventObservation property), [1] exclude_from_fit() (threeML.plugin_prototype.PluginPrototype method), [1] execute_with_progress_bar() (threeML.parallel.parallel_client.ParallelClient method), [1] expected (threeML.utils.statistics.stats_tools.Significance property), [1] expected_model_rate (threeML.plugins.SpectrumLike.SpectrumLike property), [1] exposure (threeML.plugins.SpectrumLike.SpectrumLike property), [1] (threeML.plugins.UnbinnedPoissonLike.EventObservation property), [1] (threeML.utils.spectrum.binned_spectrum.BinnedSpectrum property), [1] exposure_map (threeML.utils.data_builders.fermi.lat_transient_builder.LATObservation property), [1] exposure_over_interval() (threeML.utils.time_series.binned_spectrum_series.BinnedSpectrumSeries method), [1] (threeML.utils.time_series.event_list.EventListWithDeadTime method), [1] (threeML.utils.time_series.event_list.EventListWithDeadTimeFraction method), [1] (threeML.utils.time_series.event_list.EventListWithLiveTime method), [1] (threeML.utils.time_series.time_series.TimeSeries method), [1] exposure_per_bin (threeML.utils.spectrum.binned_spectrum_set.BinnedSpectrumSet property), [1] exposure_ratio (threeML.plugins.SpectrumLike.SpectrumLike property), [1] extend() (threeML.utils.interval.IntervalSet method), [1] extract_events() (threeML.utils.data_download.Fermi_LAT.download_LAT_data.LAT_dataset method), [1] extremes (threeML.config.plotting_structure.CornerStyle attribute), [1]

F

fallback_display() (in module threeML.io.rich_display), [1] fancybox (threeML.config.plotting_structure.LegendStyle attribute), [1] Fermi (threeML.config.catalog_structure.Catalogs attribute), [1] FermiGBMBurstCatalog (class in threeML.catalogs.Fermi), [1] (class in threeML.catalogs.FermiGBM), [1] FermiGBMTriggerCatalog (class in threeML.catalogs.Fermi), [1] (class in threeML.catalogs.FermiGBM), [1] FermiLATSourceCatalog (class in threeML.catalogs.Fermi), [1] (class in threeML.catalogs.FermiLAT), [1] FermiLLEBurstCatalog (class in threeML.catalogs.Fermi), [1] (class in threeML.catalogs.FermiLLE), [1] Fermipy (class in threeML.config.plugin_structure), [1] fermipy (threeML.config.plugin_structure.Plugins attribute), [1] FermipyLike (class in threeML.plugins.FermipyLike), [1] FermiPySourceCatalog (class in threeML.catalogs.FermiLAT), [1] FermiSpectrumPlot (class in threeML.config.plotting_structure), [1] figure (threeML.io.plotting.data_residual_plot.ResidualPlot property), [1] file_existing_and_readable() (in module threeML.io.file_utils), [1] filename (threeML.utils.spectrum.pha_spectrum.PHASpectrum property), [1] (threeML.utils.spectrum.pha_spectrum.PHASpectrumSet property), [1] files (threeML.io.download_from_http.ApacheDirectory property), [1] fill_contours (threeML.config.plotting_structure.CornerStyle attribute), [1] filter_names (threeML.utils.photometry.filter_set.FilterSet property), [1] FilterLibrary (class in threeML.utils.photometry.filter_library), [1] FilterSet (class in threeML.utils.photometry.filter_set), [1] finalize() (threeML.io.plotting.data_residual_plot.ResidualPlot method), [1] (threeML.io.plotting.model_plot.SpectralContourPlot method), [1] first_channel (threeML.utils.OGIP.response.InstrumentResponse property), [1] (threeML.utils.OGIP.response.OGIPResponse property), [1] fit (threeML.config.plugin_structure.TimeSeries attribute), [1] fit() (threeML.classicMLE.joint_likelihood.JointLikelihood method), [1] (threeML.minimizer.tutorial_material.JointLikelihoodWrap method), [1] (threeML.plugins.XYLike.XYLike method), [1] fit_cmap (threeML.config.plotting_structure.PointSourcePlot attribute), [1] fit_plot (threeML.config.plugin_structure.Fermipy attribute), [1] (threeML.config.plugin_structure.OGIP attribute), [1] (threeML.config.plugin_structure.Photo attribute), [1] fit_poly (threeML.config.plugin_structure.TimeSeriesFit attribute), [1] fit_polynomial() (threeML.utils.data_builders.time_series_builder.TimeSeriesBuilder method), [1] (threeML.utils.data_builders.TimeSeriesBuilder method), [1] (threeML.utils.time_series.time_series.TimeSeries method), [1] fit_results (threeML.minimizer.minimization.Minimizer property), [1] fit_trace (threeML.classicMLE.joint_likelihood.JointLikelihood property), [1] FitFailed, [1], [2], [3] fits_file_existing_and_readable() (in module threeML.io.file_utils), [1] FITSExtension (class in threeML.io.fits_file), [1] FITSFile (class in threeML.io.fits_file), [1] FittedPointSourceSpectralHandler (class in threeML.utils.fitted_objects.fitted_point_sources), [1] fix_effective_area_correction() (threeML.plugins.SpectrumLike.SpectrumLike method), [1] fix_extended_sources_within_radius() (threeML.catalogs.catalog_utils.ModelFromFGL method), [1] fix_point_sources_within_radius() (threeML.catalogs.catalog_utils.ModelFromFGL method), [1] (threeML.catalogs.Fermi.ModelFrom3FGL method), [1] fixed_sources_color (threeML.config.plotting_structure.FermiSpectrumPlot attribute), [1] flag (threeML.config.plotting_structure.MPLCmap attribute), [1] flag_r (threeML.config.plotting_structure.MPLCmap attribute), [1] flux_unit (threeML.config.plotting_structure.PointSourcePlot attribute), [1] FluxConversion (class in threeML.utils.fitted_objects.fitted_point_sources), [1]

for_timeseries (threeML.plugins.UnbinnedPoissonLike.EventObservation property), [1] ForbiddenRegionOfParameterSpace, [1] frame (threeML.io.results_table.ResultsTable property), [1] free_extended_sources_within_radius() (threeML.catalogs.catalog_utils.ModelFromFGL method), [1] free_point_sources_within_radius() (threeML.catalogs.catalog_utils.ModelFromFGL method), [1] (threeML.catalogs.Fermi.ModelFrom3FGL method), [1] freedman_diaconis_rule() (threeML.analysis_results.BayesianResults static method), [1] from_background() (threeML.plugins.SpectrumLike.SpectrumLike class method), [1] from_dataframe() (threeML.plugins.XYLike.XYLike class method), [1] from_dict() (threeML.utils.photometry.photometric_observation.PhotometericObservation class method), [1] from_dispersion_spectrum() (threeML.utils.spectrum.pha_spectrum.PHASpectrum class method), [1] (threeML.utils.spectrum.pha_spectrum.PHASpectrumSet class method), [1] from_entries() (threeML.utils.histogram.Histogram class method), [1] from_file() (threeML.plugins.PhotometryLike.PhotometryLike class method), [1] from_fits_file() (threeML.utils.OGIP.pha.PHAII class method), [1] from_fits_file_extension() (threeML.io.fits_file.FITSExtension class method), [1] from_function() (threeML.plugins.DispersionSpectrumLike.DispersionSpectrumLike class method), [1] (threeML.plugins.SpectrumLike.SpectrumLike class method), [1] (threeML.plugins.XYLike.XYLike class method), [1] from_gbm_cspec_or_ctime() (threeML.utils.data_builders.time_series_builder.TimeSeriesBuilder class method), [1] (threeML.utils.data_builders.TimeSeriesBuilder class method), [1] from_gbm_tte() (threeML.utils.data_builders.time_series_builder.TimeSeriesBuilder class method), [1] (threeML.utils.data_builders.TimeSeriesBuilder class method), [1] from_general_dispersion_spectrum() (threeML.plugins.OGIPLike.OGIPLike class method), [1] from_hdf5() (threeML.utils.photometry.photometric_observation.PhotometericObservation class method), [1] from_instrument_response() (threeML.utils.polarization.binned_polarization.ScatteringChannelSet class method), [1] (threeML.utils.spectrum.binned_spectrum.ChannelSet class method), [1] from_konus_pha() (threeML.utils.data_builders.time_series_builder.TimeSeriesBuilder class method), [1] (threeML.utils.data_builders.TimeSeriesBuilder class method), [1] from_kwargs() (threeML.plugins.PhotometryLike.PhotometryLike class method), [1] (threeML.utils.photometry.photometric_observation.PhotometericObservation class method), [1] from_lat_lle() (threeML.utils.data_builders.time_series_builder.TimeSeriesBuilder class method), [1] (threeML.utils.data_builders.TimeSeriesBuilder class method), [1] from_list_of_edges() (threeML.utils.interval.IntervalSet class method), [1] from_numpy_histogram() (threeML.utils.histogram.Histogram class method), [1] from_ogip() (threeML.utils.spectrum.binned_spectrum.Quality class method), [1] from_pandas() (threeML.utils.spectrum.binned_spectrum.BinnedSpectrum class method), [1] from_phaII() (threeML.utils.data_builders.time_series_builder.TimeSeriesBuilder class method), [1] (threeML.utils.data_builders.TimeSeriesBuilder class method), [1] from_polar_polarization() (threeML.utils.data_builders.time_series_builder.TimeSeriesBuilder class method), [1] (threeML.utils.data_builders.TimeSeriesBuilder class method), [1] from_polar_spectrum() (threeML.utils.data_builders.time_series_builder.TimeSeriesBuilder class method), [1] (threeML.utils.data_builders.TimeSeriesBuilder class method), [1] from_previous_fit() (threeML.utils.time_series.polynomial.Polynomial class method), [1] from_rsp2_file() (threeML.utils.OGIP.response.InstrumentResponseSet class method), [1] from_saved_configuration() (threeML.utils.data_builders.fermi.lat_transient_builder.TransientLATDataBuilder class method), [1] (threeML.utils.data_builders.TransientLATDataBuilder class method), [1] from_starts_and_stops() (threeML.utils.interval.IntervalSet class method), [1] from_strings() (threeML.utils.interval.IntervalSet class method), [1] from_text_file() (threeML.plugins.XYLike.XYLike class method), [1] from_time_series() (threeML.utils.OGIP.pha.PHAII class method), [1] (threeML.utils.polarization.binned_polarization.BinnedModulationCurve class method), [1] (threeML.utils.spectrum.binned_spectrum.BinnedSpectrum class method), [1] (threeML.utils.spectrum.binned_spectrum.BinnedSpectrumWithDispersion class method), [1] ft2_file (threeML.utils.data_builders.fermi.lat_transient_builder.LATObservation property), [1] function (threeML.minimizer.minimization.Minimizer property), [1] FunctionWrapper (class in threeML.minimizer.minimization), [1]

G

GapInCoverageIntervals, [1] gaussian_background() (threeML.utils.statistics.stats_tools.Significance method), [1] GaussianObservedGaussianBackgroundStatistic (in module threeML.utils.spectrum.spectrum_likelihood), [1] GaussianObservedStatistic (class in threeML.utils.spectrum.spectrum_likelihood), [1] GBM (threeML.config.config_structure.Config attribute), [1] GBMCdata (class in threeML.utils.data_builders.fermi.gbm_data), [1] GBMTTEFile (class in threeML.utils.data_builders.fermi.gbm_data), [1] GenericFittedSourceHandler (class in threeML.utils.fitted_objects.fitted_source_handler), [1] GenericPlotting (class in threeML.config.plotting_structure), [1] get_available_plugins() (in module threeML), [1] get_background_model() (threeML.plugins.SpectrumLike.SpectrumLike method), [1] get_background_parameters() (threeML.utils.data_builders.time_series_builder.TimeSeriesBuilder method), [1] (threeML.utils.data_builders.TimeSeriesBuilder method), [1] get_base_prefix_compat() (in module threeML.parallel.parallel_client), [1] get_basic_config() (threeML.plugins.FermipyLike.FermipyLike static method), [1] get_bayesian_analysis_object_complex_likelihood() (in module threeML.bayesian.tutorial_material), [1] get_bayesian_analysis_object_simple_likelihood() (in module threeML.bayesian.tutorial_material), [1] get_callback() (in module threeML.minimizer.tutorial_material), [1] get_contours() (threeML.classicMLE.joint_likelihood.JointLikelihood method), [1] get_correlation_matrix() (threeML.analysis_results.BayesianResults method), [1] (threeML.analysis_results.MLEResults method), [1] get_current_configuration_copy() (in module threeML.config.config_utils), [1] get_current_value() (threeML.utils.spectrum.spectrum_likelihood.BinnedStatistic method), [1] (threeML.utils.spectrum.spectrum_likelihood.GaussianObservedStatistic method), [1] (threeML.utils.spectrum.spectrum_likelihood.PoissonObservedGaussianBackgroundStatistic method), [1] (threeML.utils.spectrum.spectrum_likelihood.PoissonObservedIdealBackgroundStatistic method), [1] (threeML.utils.spectrum.spectrum_likelihood.PoissonObservedModeledBackgroundStatistic method), [1] (threeML.utils.spectrum.spectrum_likelihood.PoissonObservedNoBackgroundStatistic method), [1] (threeML.utils.spectrum.spectrum_likelihood.PoissonObservedPoissonBackgroundStatistic method), [1] get_detector_information() (threeML.catalogs.Fermi.FermiGBMBurstCatalog method), [1] (threeML.catalogs.FermiGBM.FermiGBMBurstCatalog method), [1] get_disp_value() (threeML.utils.data_builders.fermi.lat_transient_builder.LATLikelihoodParameter method), [1] get_errors() (threeML.classicMLE.joint_likelihood.JointLikelihood method), [1] (threeML.minimizer.minimization.Minimizer method), [1] (threeML.minimizer.minuit_minimizer.MinuitMinimizer method), [1] get_heasarc_table_as_pandas() (in module threeML.io.get_heasarc_table_as_pandas), [1] get_hessian() (in module threeML.utils.differentiation), [1] get_highest_density_posterior_interval() (threeML.analysis_results.BayesianResults method), [1] get_information_dict() (threeML.utils.time_series.time_series.TimeSeries method), [1] get_instance() (threeML.minimizer.minimization.GlobalMinimization method), [1] (threeML.minimizer.minimization.LocalMinimization method), [1] get_jacobian() (in module threeML.utils.differentiation), [1] get_joint_likelihood_object_complex_likelihood() (in module threeML.minimizer.tutorial_material), [1] get_joint_likelihood_object_simple_likelihood() (in module threeML.minimizer.tutorial_material), [1] get_log_like() (threeML.minimizer.tutorial_material.CustomLikelihoodLike method), [1] (threeML.plugin_prototype.PluginPrototype method), [1] (threeML.plugins.experimental.CastroLike.CastroLike method), [1] (threeML.plugins.FermipyLike.FermipyLike method), [1] (threeML.plugins.SpectrumLike.SpectrumLike method), [1] (threeML.plugins.UnbinnedPoissonLike.UnbinnedPoissonLike method), [1] (threeML.plugins.XYLike.XYLike method), [1] get_mask_from_filter_sequence() (threeML.utils.photometry.photometric_observation.PhotometericObservation method), [1] get_measurement() (threeML.plugins.experimental.CastroLike.IntervalContainer method), [1] get_median_fit_model() (threeML.analysis_results.BayesianResults method), [1] get_minimizer() (in module threeML.minimizer.minimization), [1] get_model() (threeML.catalogs.Fermi.FermiGBMBurstCatalog method), [1] (threeML.catalogs.Fermi.FermiLATSourceCatalog method), [1] (threeML.catalogs.FermiGBM.FermiGBMBurstCatalog method), [1] (threeML.catalogs.FermiLAT.FermiLATSourceCatalog method), [1] (threeML.catalogs.VirtualObservatoryCatalog.VirtualObservatoryCatalog method), [1] (threeML.classicMLE.goodness_of_fit.GoodnessOfFit method), [1] (threeML.plugins.SpectrumLike.SpectrumLike method), [1] (threeML.plugins.XYLike.XYLike method), [1] get_models() (threeML.classicMLE.likelihood_ratio_test.LikelihoodRatioTest method), [1] get_name() (threeML.plugin_prototype.PluginPrototype method), [1] get_new_start_and_stop() (threeML.utils.binner.Rebinner method), [1] get_number_of_data_points() (threeML.minimizer.tutorial_material.CustomLikelihoodLike method), [1] (threeML.plugin_prototype.PluginPrototype method), [1] (threeML.plugins.FermipyLike.FermipyLike method), [1] (threeML.plugins.SpectrumLike.SpectrumLike method), [1] (threeML.plugins.UnbinnedPoissonLike.UnbinnedPoissonLike method), [1] (threeML.plugins.XYLike.XYLike method), [1] get_number_of_engines() (threeML.parallel.parallel_client.ParallelClient method), [1] get_observation_duration() (threeML.plugins.FermipyLike.FermipyLike method), [1] get_other_instrument_information() (threeML.catalogs.Swift.SwiftGRBCatalog method), [1] get_other_observation_information() (threeML.catalogs.Swift.SwiftGRBCatalog method), [1] get_path_of_data_dir() (in module threeML.io.package_data), [1] get_path_of_data_file() (in module threeML.io.package_data), [1] get_path_of_log_dir() (in module threeML.io.logging), [1] get_path_of_log_file() (in module threeML.io.logging), [1] get_path_of_user_config() (in module threeML.io.package_data), [1] get_path_of_user_dir() (in module threeML.io.package_data), [1] get_pha_files() (threeML.plugins.DispersionSpectrumLike.DispersionSpectrumLike method), [1] (threeML.plugins.SpectrumLike.SpectrumLike method), [1]

get_photometric_filter_library() (in module threeML.utils.photometry.filter_library), [1] get_poly_info() (threeML.utils.time_series.time_series.TimeSeries method), [1] get_posterior() (threeML.bayesian.sampler_base.SamplerBase method), [1] get_random_unique_name() (in module threeML.io.file_utils), [1] get_randomized_background_counts() (threeML.utils.spectrum.spectrum_likelihood.BinnedStatistic method), [1] (threeML.utils.spectrum.spectrum_likelihood.PoissonObservedGaussianBackgroundStatistic method), [1] (threeML.utils.spectrum.spectrum_likelihood.PoissonObservedIdealBackgroundStatistic method), [1] (threeML.utils.spectrum.spectrum_likelihood.PoissonObservedPoissonBackgroundStatistic method), [1] get_randomized_background_errors() (threeML.utils.spectrum.spectrum_likelihood.BinnedStatistic method), [1] (threeML.utils.spectrum.spectrum_likelihood.PoissonObservedGaussianBackgroundStatistic method), [1] (threeML.utils.spectrum.spectrum_likelihood.PoissonObservedModeledBackgroundStatistic method), [1] get_randomized_source_counts() (threeML.utils.spectrum.spectrum_likelihood.BinnedStatistic method), [1] (threeML.utils.spectrum.spectrum_likelihood.GaussianObservedStatistic method), [1] (threeML.utils.spectrum.spectrum_likelihood.PoissonObservedGaussianBackgroundStatistic method), [1] (threeML.utils.spectrum.spectrum_likelihood.PoissonObservedIdealBackgroundStatistic method), [1] (threeML.utils.spectrum.spectrum_likelihood.PoissonObservedModeledBackgroundStatistic method), [1] (threeML.utils.spectrum.spectrum_likelihood.PoissonObservedNoBackgroundStatistic method), [1] (threeML.utils.spectrum.spectrum_likelihood.PoissonObservedPoissonBackgroundStatistic method), [1] get_randomized_source_errors() (threeML.utils.spectrum.spectrum_likelihood.BinnedStatistic method), [1] (threeML.utils.spectrum.spectrum_likelihood.GaussianObservedStatistic method), [1] get_redshift() (threeML.catalogs.Swift.SwiftGRBCatalog method), [1] get_second_minimization_instance() (threeML.minimizer.minimization.GlobalMinimization method), [1] get_signal() (in module threeML.test.test_UnresolvedExtendedXYLike), [1] (in module threeML.test.test_XYLike), [1] get_simulated_data() (threeML.classicMLE.goodness_of_fit.GoodnessOfFit method), [1] (threeML.classicMLE.likelihood_ratio_test.LikelihoodRatioTest method), [1] get_simulated_dataset() (threeML.plugins.DispersionSpectrumLike.DispersionSpectrumLike method), [1] (threeML.plugins.OGIPLike.OGIPLike method), [1] (threeML.plugins.SpectrumLike.SpectrumLike method), [1] (threeML.plugins.XYLike.XYLike method), [1] get_slice() (threeML.utils.spectrum.binned_spectrum.Quality method), [1] get_speclite_filter_library() (in module threeML.utils.photometry.filter_library), [1] get_speclite_filter_path() (in module threeML.utils.photometry.filter_library), [1] get_statistic_frame() (threeML.analysis_results.BayesianResults method), [1] (threeML.analysis_results.MLEResults method), [1] get_threeML_style() (in module threeML.io.plotting.get_style), [1] get_total_poly_count() (threeML.utils.time_series.time_series.TimeSeries method), [1] get_total_poly_error() (threeML.utils.time_series.time_series.TimeSeries method), [1] get_uncertainty_tokens() (in module threeML.io.uncertainty_formatter), [1] get_unique_deterministic_tag() (in module threeML.utils.unique_deterministic_tag), [1] get_user_data_path() (in module threeML.io.configuration), [1] get_value() (in module threeML.config.config_utils), [1] get_value_kwargs() (in module threeML.config.config_utils), [1] gist_earth (threeML.config.plotting_structure.MPLCmap attribute), [1] gist_earth_r (threeML.config.plotting_structure.MPLCmap attribute), [1] gist_gray (threeML.config.plotting_structure.MPLCmap attribute), [1] gist_gray_r (threeML.config.plotting_structure.MPLCmap attribute), [1] gist_grey (threeML.config.plotting_structure.MPLCmap attribute), [1] gist_heat (threeML.config.plotting_structure.MPLCmap attribute), [1] gist_heat_r (threeML.config.plotting_structure.MPLCmap attribute), [1] gist_ncar (threeML.config.plotting_structure.MPLCmap attribute), [1] gist_ncar_r (threeML.config.plotting_structure.MPLCmap attribute), [1] gist_rainbow (threeML.config.plotting_structure.MPLCmap attribute), [1] gist_rainbow_r (threeML.config.plotting_structure.MPLCmap attribute), [1] gist_stern (threeML.config.plotting_structure.MPLCmap attribute), [1] gist_stern_r (threeML.config.plotting_structure.MPLCmap attribute), [1] gist_yarg (threeML.config.plotting_structure.MPLCmap attribute), [1] gist_yarg_r (threeML.config.plotting_structure.MPLCmap attribute), [1] gist_yerg (threeML.config.plotting_structure.MPLCmap attribute), [1] GlobalMinimization (class in threeML.minimizer.minimization), [1] GlobalMinimizer (class in threeML.minimizer.minimization), [1] GnBu (threeML.config.plotting_structure.MPLCmap attribute), [1] GnBu_r (threeML.config.plotting_structure.MPLCmap attribute), [1] gnuplot (threeML.config.plotting_structure.MPLCmap attribute), [1] gnuplot2 (threeML.config.plotting_structure.MPLCmap attribute), [1] gnuplot2_r (threeML.config.plotting_structure.MPLCmap attribute), [1] gnuplot_r (threeML.config.plotting_structure.MPLCmap attribute), [1] go() (threeML.classicMLE.joint_likelihood_set.JointLikelihoodSet method), [1] good (threeML.utils.spectrum.binned_spectrum.Quality property), [1] goodness_of_fit() (threeML.plugins.XYLike.XYLike method), [1] GoodnessOfFit (class in threeML.classicMLE.goodness_of_fit), [1] gray (threeML.config.plotting_structure.MPLCmap attribute), [1] gray_r (threeML.config.plotting_structure.MPLCmap attribute), [1] Grays (threeML.config.plotting_structure.MPLCmap attribute), [1] Greens (threeML.config.plotting_structure.MPLCmap attribute), [1] Greens_r (threeML.config.plotting_structure.MPLCmap attribute), [1] grey (threeML.config.plotting_structure.MPLCmap attribute), [1] Greys (threeML.config.plotting_structure.MPLCmap attribute), [1] Greys_r (threeML.config.plotting_structure.MPLCmap attribute), [1] GridMinimizer (class in threeML.minimizer.grid_minimizer), [1] grouping (threeML.plugins.OGIPLike.OGIPLike property), [1] (threeML.utils.binner.Rebinner property), [1] (threeML.utils.spectrum.pha_spectrum.PHASpectrum property), [1] (threeML.utils.spectrum.pha_spectrum.PHASpectrumSet property), [1] gta (threeML.plugins.FermipyLike.FermipyLike property), [1]

H

half_chi2() (in module threeML.utils.statistics.likelihood_functions), [1] half_time (threeML.utils.time_interval.TimeInterval property), [1] handle_data() (threeML.utils.data_download.Fermi_LAT.download_LAT_data.DivParser method), [1] handle_endtag() (threeML.utils.data_download.Fermi_LAT.download_LAT_data.DivParser method), [1] handle_starttag() (threeML.utils.data_download.Fermi_LAT.download_LAT_data.DivParser method), [1] has_errors (threeML.plugins.XYLike.XYLike property), [1] hdu (threeML.io.fits_file.FITSExtension property), [1]

highest_posterior_density_interval() (threeML.random_variates.RandomVariates method), [1] Histogram (class in threeML.utils.histogram), [1] hot (threeML.config.plotting_structure.MPLCmap attribute), [1] hot_r (threeML.config.plotting_structure.MPLCmap attribute), [1] hsv (threeML.config.plotting_structure.MPLCmap attribute), [1] hsv_r (threeML.config.plotting_structure.MPLCmap attribute), [1] HTTPError, [1]

I

if_directory_not_existing_then_make() (in module threeML.io.file_utils), [1] in_virtualenv() (in module threeML.parallel.parallel_client), [1] index_of() (threeML.io.fits_file.FITSFile method), [1] inferno (threeML.config.plotting_structure.MPLCmap attribute), [1] inferno_r (threeML.config.plotting_structure.MPLCmap attribute), [1] INFO (threeML.config.config_structure.LoggingLevel attribute), [1] info() (threeML.io.fits_file.FITSFile method), [1] (threeML.minimizer.tutorial_material.Complex static method), [1] (threeML.minimizer.tutorial_material.Simple static method), [1] inner_fit() (threeML.minimizer.tutorial_material.CustomLikelihoodLike method), [1] (threeML.plugin_prototype.PluginPrototype method), [1] (threeML.plugins.experimental.CastroLike.CastroLike method), [1] (threeML.plugins.FermipyLike.FermipyLike method), [1] (threeML.plugins.SpectrumLike.SpectrumLike method), [1] (threeML.plugins.UnbinnedPoissonLike.UnbinnedPoissonLike method), [1] (threeML.plugins.XYLike.XYLike method), [1] insert() (threeML.data_list.DataList method), [1] instrument (threeML.utils.data_builders.fermi.lat_data.LLEFile property), [1] (threeML.utils.OGIP.pha.PHAII property), [1] (threeML.utils.spectrum.binned_spectrum.BinnedSpectrum property), [1] InstrumentCatalog (class in threeML.config.catalog_structure), [1] InstrumentResponse (class in threeML.utils.OGIP.response), [1] InstrumentResponseSet (class in threeML.utils.OGIP.response), [1] instruments (threeML.utils.photometry.filter_library.FilterLibrary property), [1] integral() (threeML.utils.time_series.polynomial.Polynomial method), [1] integral_error() (threeML.utils.time_series.polynomial.Polynomial method), [1] IntegralFluxConversion (class in threeML.utils.fitted_objects.fitted_point_sources), [1] integrate_flux_method (threeML.config.point_source_structure.PointSourceDefaults attribute), [1] IntegrateMethod (class in threeML.config.point_source_structure), [1] Interface (class in threeML.config.config_structure), [1] interface (threeML.config.config_structure.Config attribute), [1] internet_connection_is_active() (in module threeML.io.network), [1] intersect() (threeML.utils.interval.Interval method), [1]

Interval (class in threeML.utils.interval), [1] interval_to_errors() (in module threeML.io.uncertainty_formatter), [1] INTERVAL_TYPE (threeML.utils.histogram.Histogram attribute), [1] (threeML.utils.interval.IntervalSet attribute), [1] (threeML.utils.polarization.binned_polarization.BinnedModulationCurve attribute), [1] (threeML.utils.polarization.binned_polarization.ScatteringChannelSet attribute), [1] (threeML.utils.spectrum.binned_spectrum.BinnedSpectrum attribute), [1] (threeML.utils.spectrum.binned_spectrum.ChannelSet attribute), [1] (threeML.utils.time_interval.TimeIntervalSet attribute), [1] IntervalContainer (class in threeML.plugins.experimental.CastroLike), [1] IntervalOfInterestNotCovered, [1] IntervalsDoNotOverlap, [1] IntervalSet (class in threeML.utils.interval), [1] IntervalsNotContiguous, [1] invalid_plugin_name() (in module threeML.io.logging), [1] InvalidUnitError, [1] is_compatible_with_filter_set() (threeML.utils.photometry.photometric_observation.PhotometericObservation method), [1] is_contiguous() (threeML.utils.interval.IntervalSet method), [1] is_dimensionless (threeML.utils.fitted_objects.fitted_point_sources.FittedPointSourceSpectralHandler property), [1] (threeML.utils.fitted_objects.fitted_point_sources.FluxConversion property), [1] is_in_gti() (threeML.utils.data_builders.fermi.lat_data.LLEFile method), [1] is_inside_notebook() (in module threeML.io.detect_notebook), [1] is_module_importable() (in module threeML), [1] is_multi_interval (threeML.plugins.UnbinnedPoissonLike.EventObservation property), [1] is_parallel_computation_active() (in module threeML.parallel.parallel_client), [1] is_plugin_available() (in module threeML), [1] is_poisson (threeML.plugins.XYLike.XYLike property), [1] (threeML.utils.histogram.Histogram property), [1] (threeML.utils.spectrum.binned_spectrum.BinnedSpectrum property), [1] is_power_of_2() (in module threeML.utils.power_of_two_utils), [1] is_set (threeML.utils.data_builders.fermi.lat_transient_builder.LATLikelihoodParameter property), [1] is_sorted (threeML.utils.interval.IntervalSet property), [1] items() (threeML.utils.photometry.photometric_observation.PhotometericObservation method), [1]

J

jet (threeML.config.plotting_structure.MPLCmap attribute), [1] jet_r (threeML.config.plotting_structure.MPLCmap attribute), [1] JointLikelihood (class in threeML.classicMLE.joint_likelihood), [1]

JointLikelihoodSet (class in threeML.classicMLE.joint_likelihood_set), [1] JointLikelihoodSetAnalyzer (class in threeML.classicMLE.joint_likelihood_set), [1] JointLikelihoodWrap (class in threeML.minimizer.tutorial_material), [1] jump_tracking() (threeML.minimizer.tutorial_material.Simple method), [1]

K

keys() (threeML.data_list.DataList method), [1] (threeML.utils.photometry.photometric_observation.PhotometericObservation method), [1]

known_background() (threeML.utils.statistics.stats_tools.Significance method), [1]

L

LAT (threeML.config.config_structure.Config attribute), [1] LAT_dataset (class in threeML.utils.data_download.Fermi_LAT.download_LAT_data), [1] LATLikelihoodParameter (class in threeML.utils.data_builders.fermi.lat_transient_builder), [1] LATObservation (class in threeML.utils.data_builders.fermi.lat_transient_builder), [1] legend_font_size (threeML.config.plotting_structure.ResidualPlot attribute), [1] legend_style (threeML.config.plotting_structure.PointSourcePlot attribute), [1] LegendStyle (class in threeML.config.plotting_structure), [1] level (threeML.config.config_structure.Logging attribute), [1] levels (threeML.config.plotting_structure.CornerStyle attribute), [1] li_and_ma() (threeML.utils.statistics.stats_tools.Significance method), [1] li_and_ma_equivalent_for_gaussian_background() (threeML.utils.statistics.stats_tools.Significance method), [1] light_curve_color (threeML.config.plugin_structure.TimeSeries attribute), [1] likelihood_model (threeML.bayesian.bayesian_analysis.BayesianAnalysis property), [1] (threeML.classicMLE.joint_likelihood.JointLikelihood property), [1] (threeML.plugins.SpectrumLike.SpectrumLike property), [1] (threeML.plugins.XYLike.XYLike property), [1] LikelihoodIsInfinite, [1] LikelihoodRatioTest (class in threeML.classicMLE.likelihood_ratio_test), [1] liketype (threeML.utils.data_builders.fermi.lat_transient_builder.LATObservation property), [1] linestyle (threeML.config.plotting_structure.PlotStyle attribute), [1] linewidth (threeML.config.plotting_structure.PlotStyle attribute), [1] (threeML.config.plotting_structure.ResidualPlot attribute), [1] livetime (threeML.utils.data_builders.fermi.lat_data.LLEFile property), [1]

livetime_cube (threeML.utils.data_builders.fermi.lat_transient_builder.LATObservation property), [1] livetime_start (threeML.utils.data_builders.fermi.lat_data.LLEFile property), [1] livetime_stop (threeML.utils.data_builders.fermi.lat_data.LLEFile property), [1] LLEFile (class in threeML.utils.data_builders.fermi.lat_data), [1] load_analysis_results() (in module threeML.analysis_results), [1] load_analysis_results_hdf() (in module threeML.analysis_results), [1] loc (threeML.config.plotting_structure.LegendStyle attribute), [1] LocalMinimization (class in threeML.minimizer.minimization), [1] LocalMinimizer (class in threeML.minimizer.minimization), [1] log_like_values (threeML.bayesian.bayesian_analysis.BayesianAnalysis property), [1] (threeML.bayesian.sampler_base.SamplerBase property), [1] log_marginal_likelihood (threeML.bayesian.bayesian_analysis.BayesianAnalysis property), [1] (threeML.bayesian.sampler_base.SamplerBase property), [1] log_probability (threeML.analysis_results.BayesianResults property), [1] log_probability_values (threeML.bayesian.bayesian_analysis.BayesianAnalysis property), [1] (threeML.bayesian.sampler_base.SamplerBase property), [1] Logging (class in threeML.config.config_structure), [1] logging (threeML.config.config_structure.Config attribute), [1] LoggingLevel (class in threeML.config.config_structure), [1] LoggingState (class in threeML.io.logging), [1] loud_logs() (threeML.io.logging.LoggingState method), [1] loud_mode() (in module threeML.io.logging), [1] lower_error (threeML.utils.fitted_objects.fitted_source_handler.GenericFittedSourceHandler property), [1] (threeML.utils.fitted_objects.fitted_source_handler.VariatesContainer property), [1]

M

magma (threeML.config.plotting_structure.MPLCmap attribute), [1] magma_r (threeML.config.plotting_structure.MPLCmap attribute), [1] magnitude_errors (threeML.plugins.PhotometryLike.PhotometryLike property), [1] magnitudes (threeML.plugins.PhotometryLike.PhotometryLike property), [1] make_LAT_dataset() (threeML.utils.data_download.Fermi_LAT.download_LAT_data.LAT_dataset method), [1] map() (threeML.bayesian.dynesty_sampler.DynestyPool method), [1] marker (threeML.config.plotting_structure.ResidualPlot attribute), [1] mask (threeML.plugins.SpectrumLike.SpectrumLike property), [1] masked_channels_color (threeML.config.plotting_structure.DataHistPlot attribute), [1] MATRIX (class in threeML.utils.OGIP.response), [1] matrix (threeML.utils.OGIP.response.InstrumentResponse property), [1] max_number_samples (threeML.config.point_source_structure.PointSourceDefaults attribute), [1] MCMCSampler (class in threeML.bayesian.sampler_base), [1] measurement (threeML.utils.time_series.event_list.EventList property), [1] median (threeML.random_variates.RandomVariates property), [1] (threeML.utils.fitted_objects.fitted_source_handler.GenericFittedSourceHandler property), [1] (threeML.utils.fitted_objects.fitted_source_handler.VariatesContainer property), [1] merge() (threeML.utils.interval.Interval method), [1] merge_intersecting_intervals() (threeML.utils.interval.IntervalSet method), [1] merge_LAT_data() (in module threeML.utils.data_download.Fermi_LAT.download_LAT_data), [1] mid_point (threeML.utils.interval.Interval property), [1] mid_points (threeML.utils.interval.IntervalSet property), [1] minimize() (threeML.minimizer.minimization.Minimizer method), [1] Minimizer (class in threeML.minimizer.minimization), [1] minimizer (threeML.classicMLE.joint_likelihood.JointLikelihood property), [1] minimizer_in_use (threeML.classicMLE.joint_likelihood.JointLikelihood property), [1] MinimizerNotAvailable, [1], [2], [3] MinLargerMax, [1] MINOSFailed, [1] minuit (threeML.config.fitting_structure.Optimizer attribute), [1] MinuitMinimizer (class in threeML.minimizer.minuit_minimizer), [1] minus_log_like_profile() (threeML.classicMLE.joint_likelihood.JointLikelihood method), [1] mission (threeML.utils.data_builders.fermi.gbm_data.GBMCdata property), [1] (threeML.utils.data_builders.fermi.gbm_data.GBMTTEFile property), [1] (threeML.utils.data_builders.fermi.lat_data.LLEFile property), [1] (threeML.utils.spectrum.binned_spectrum.BinnedSpectrum property), [1] mle (threeML.config.config_structure.Config attribute), [1] MLEDefault (class in threeML.config.fitting_structure), [1] MLEResults (class in threeML.analysis_results), [1] model (threeML.utils.fitted_objects.fitted_point_sources.FluxConversion property), [1] model_cmap (threeML.config.plotting_structure.BinnedSpectrumPlot attribute), [1] (threeML.config.plotting_structure.FermiSpectrumPlot attribute), [1] model_color (threeML.config.plotting_structure.BinnedSpectrumPlot attribute), [1] (threeML.config.plotting_structure.FermiSpectrumPlot attribute), [1] model_integrate_method (threeML.plugins.SpectrumLike.SpectrumLike property), [1] model_mpl_kwargs (threeML.config.plotting_structure.BinnedSpectrumPlot attribute), [1] (threeML.config.plotting_structure.FermiSpectrumPlot attribute), [1] model_plot (threeML.config.config_structure.Config attribute), [1] ModelFrom3FGL (class in threeML.catalogs.Fermi), [1] ModelFromFGL (class in threeML.catalogs.catalog_utils), [1] ModelPlotting (class in threeML.config.plotting_structure), [1] module threeML, [1] threeML.analysis_results, [1] threeML.bayesian, [1] threeML.bayesian.autoemcee_sampler, [1] threeML.bayesian.bayesian_analysis, [1] threeML.bayesian.dynesty_sampler, [1] threeML.bayesian.emcee_sampler, [1] threeML.bayesian.multinest_sampler, [1] threeML.bayesian.nautilus_sampler, [1] threeML.bayesian.sampler_base, [1] threeML.bayesian.tutorial_material, [1] threeML.bayesian.ultranest_sampler, [1] threeML.bayesian.zeus_sampler, [1] threeML.catalogs, [1] threeML.catalogs.catalog_utils, [1] threeML.catalogs.Fermi, [1] threeML.catalogs.FermiGBM, [1] threeML.catalogs.FermiLAT, [1] threeML.catalogs.FermiLLE, [1] threeML.catalogs.Swift, [1] threeML.catalogs.VirtualObservatoryCatalog, [1] threeML.classicMLE, [1] threeML.classicMLE.goodness_of_fit, [1] threeML.classicMLE.joint_likelihood, [1] threeML.classicMLE.joint_likelihood_set, [1] threeML.classicMLE.likelihood_ratio_test, [1] threeML.config, [1] threeML.config.catalog_structure, [1] threeML.config.config, [1] threeML.config.config_structure, [1] threeML.config.config_utils, [1] threeML.config.fitting_structure, [1] threeML.config.plotting_structure, [1] threeML.config.plugin_structure, [1] threeML.config.point_source_structure, [1] threeML.data_list, [1] threeML.exceptions, [1] threeML.exceptions.custom_exceptions, [1] threeML.io, [1] threeML.io.calculate_flux, [1] threeML.io.cern_root_utils, [1] threeML.io.configuration, [1] threeML.io.detect_notebook, [1] threeML.io.dict_with_pretty_print, [1] threeML.io.download_from_ftp, [1] threeML.io.download_from_http, [1] threeML.io.file_utils, [1] threeML.io.fits_file, [1] threeML.io.get_heasarc_table_as_pandas, [1] threeML.io.hdf5_utils, [1] threeML.io.logging, [1] threeML.io.network, [1] threeML.io.package_data, [1] threeML.io.plotting, [1] threeML.io.plotting.cmap_cycle, [1] threeML.io.plotting.data_residual_plot, [1] threeML.io.plotting.get_style, [1] threeML.io.plotting.light_curve_plots, [1] threeML.io.plotting.model_plot, [1] threeML.io.plotting.model_plot_2D threeML.io.plotting.model_plot_tags threeML.io.plotting.post_process_data_plots, [1] threeML.io.plotting.step_plot, [1] threeML.io.results_table, [1] threeML.io.rich_display, [1] threeML.io.serialization, [1] threeML.io.suppress_stdout, [1] threeML.io.table, [1] threeML.io.uncertainty_formatter, [1] threeML.minimizer, [1] threeML.minimizer.grid_minimizer, [1] threeML.minimizer.minimization, [1] threeML.minimizer.minuit_minimizer, [1] threeML.minimizer.scipy_minimizer, [1] threeML.minimizer.tutorial_material, [1] threeML.parallel, [1] threeML.parallel.parallel_client, [1] threeML.plugin_prototype, [1] threeML.plugins, [1] threeML.plugins.BinnedProfileLike threeML.plugins.DispersionSpectrumLike, [1] threeML.plugins.experimental, [1] threeML.plugins.experimental.CastroLike, [1] threeML.plugins.FermipyLike, [1] threeML.plugins.OGIPLike, [1] threeML.plugins.PhotometryLike, [1] threeML.plugins.SpectrumLike, [1] threeML.plugins.SwiftXRTLike, [1] threeML.plugins.UnbinnedPoissonLike, [1] threeML.plugins.UnresolvedExtendedXYLike, [1] threeML.plugins.XYLike, [1] threeML.random_variates, [1] threeML.test, [1] threeML.test.test_generic, [1] threeML.test.test_get_package_data, [1] threeML.test.test_power_of_two_utils, [1] threeML.test.test_UnresolvedExtendedXYLike, [1] threeML.test.test_verbosity, [1] threeML.test.test_XYLike, [1] threeML.utils, [1] threeML.utils.bayesian_blocks, [1] threeML.utils.binner, [1] threeML.utils.cartesian, [1] threeML.utils.data_builders, [1] threeML.utils.data_builders.fermi, [1] threeML.utils.data_builders.fermi.gbm_data, [1] threeML.utils.data_builders.fermi.lat_data, [1] threeML.utils.data_builders.fermi.lat_transient_builder, [1] threeML.utils.data_builders.time_series_builder, [1] threeML.utils.data_download, [1] threeML.utils.data_download.Fermi_GBM, [1] threeML.utils.data_download.Fermi_GBM.download_GBM_data, [1] threeML.utils.data_download.Fermi_LAT, [1] threeML.utils.data_download.Fermi_LAT.download_LAT_data, [1] threeML.utils.data_download.Fermi_LAT.download_LLE_data, [1] threeML.utils.differentiation, [1] threeML.utils.fermi_relative_mission_time, [1] threeML.utils.fitted_objects, [1] threeML.utils.fitted_objects.fitted_point_sources, [1] threeML.utils.fitted_objects.fitted_source_handler, [1] threeML.utils.histogram, [1] threeML.utils.interval, [1] threeML.utils.numba_utils, [1] threeML.utils.OGIP, [1] threeML.utils.OGIP.pha, [1] threeML.utils.OGIP.response, [1] threeML.utils.photometry, [1] threeML.utils.photometry.filter_library, [1] threeML.utils.photometry.filter_set, [1] threeML.utils.photometry.photometric_observation, [1] threeML.utils.polarization, [1] threeML.utils.polarization.binned_polarization, [1] threeML.utils.power_of_two_utils, [1] threeML.utils.progress_bar, [1] threeML.utils.spectrum, [1] threeML.utils.spectrum.binned_spectrum, [1] threeML.utils.spectrum.binned_spectrum_set, [1] threeML.utils.spectrum.pha_spectrum, [1] threeML.utils.spectrum.share_spectrum, [1] threeML.utils.spectrum.spectrum_likelihood, [1] threeML.utils.statistics, [1] threeML.utils.statistics.gammaln, [1] threeML.utils.statistics.likelihood_functions, [1] threeML.utils.statistics.stats_tools, [1] threeML.utils.step_parameter_generator, [1] threeML.utils.string_utils, [1] threeML.utils.time_interval, [1] threeML.utils.time_series, [1] threeML.utils.time_series.binned_spectrum_series, [1] threeML.utils.time_series.event_list, [1] threeML.utils.time_series.polynomial, [1] threeML.utils.time_series.time_series, [1] threeML.utils.unique_deterministic_tag, [1]

monte_carlo_energies (threeML.utils.OGIP.response.InstrumentResponse property), [1] (threeML.utils.OGIP.response.InstrumentResponseSet property), [1] MPLCmap (class in threeML.config.plotting_structure), [1] mplstyle (threeML.config.plotting_structure.GenericPlotting attribute), [1] multi_progress_cmap (threeML.config.config_structure.Interface attribute), [1] multi_progress_color (threeML.config.config_structure.Interface attribute), [1] multinest (threeML.config.fitting_structure.Sampler attribute), [1] multinest_setup (threeML.config.fitting_structure.BayesianDefault attribute), [1] MultiNestSampler (class in threeML.bayesian.multinest_sampler), [1] my_format_warning() (in module threeML.exceptions.custom_exceptions), [1]

N

n_bands (threeML.utils.photometry.filter_set.FilterSet property), [1] n_bins (threeML.utils.binner.Rebinner property), [1] n_channel (threeML.utils.spectrum.binned_spectrum.BinnedSpectrum property), [1] n_channels (threeML.utils.data_builders.fermi.gbm_data.GBMCdata property), [1] (threeML.utils.data_builders.fermi.gbm_data.GBMTTEFile property), [1] (threeML.utils.data_builders.fermi.lat_data.LLEFile property), [1] (threeML.utils.spectrum.binned_spectrum.BinnedSpectrum property), [1] (threeML.utils.spectrum.binned_spectrum_set.BinnedSpectrumSet property), [1] (threeML.utils.time_series.time_series.TimeSeries property), [1] n_colors (threeML.config.plotting_structure.BinnedSpectrumPlot attribute), [1] n_data_points (threeML.plugins.SpectrumLike.SpectrumLike property), [1] n_elements (threeML.utils.spectrum.binned_spectrum.Quality property), [1] n_events (threeML.plugins.UnbinnedPoissonLike.EventObservation property), [1] (threeML.utils.time_series.event_list.EventList property), [1] n_integration_points (threeML.plugins.experimental.CastroLike.IntervalContainer property), [1] name (threeML.plugin_prototype.PluginPrototype property), [1] (threeML.utils.data_builders.fermi.lat_transient_builder.LATLikelihoodParameter property), [1] native_filter_names (threeML.utils.photometry.filter_set.FilterSet property), [1] NautilusSampler (class in threeML.bayesian.nautilus_sampler), [1] nb_sum() (in module threeML.utils.numba_utils), [1] NegativeBackground, [1] net (threeML.utils.statistics.stats_tools.Significance property), [1]

new() (threeML.utils.interval.Interval class method), [1] (threeML.utils.interval.IntervalSet class method), [1] new_interval() (threeML.utils.interval.IntervalSet class method), [1] next_power_of_2() (in module threeML.utils.power_of_two_utils), [1] nipy_spectral (threeML.config.plotting_structure.MPLCmap attribute), [1] nipy_spectral_r (threeML.config.plotting_structure.MPLCmap attribute), [1] NoCoverageIntervals, [1] Noff (threeML.utils.statistics.stats_tools.Significance property), [1] NoFitYet, [1] NoMatrixForInterval, [1] Non (threeML.utils.statistics.stats_tools.Significance property), [1] NonContiguousCoverageIntervals, [1] NoParallelEnvironment, [1] NotANumberInLikelihood, [1] NotASpeclikeFilter, [1] NotAvailableStatistic (class in threeML.utils.spectrum.spectrum_likelihood), [1] NotCompositeModelError, [1] NotEnoughData, [1] Npar (threeML.minimizer.minimization.Minimizer property), [1] nuisance_parameters (threeML.plugin_prototype.PluginPrototype property), [1] null_hypothesis_probability (threeML.classicMLE.likelihood_ratio_test.LikelihoodRatioTest property), [1] num_ene (threeML.config.plotting_structure.PointSourcePlot attribute), [1] NumericMatrix (class in threeML.io.table), [1]

O

observation (threeML.plugins.PhotometryLike.PhotometryLike property), [1] observation_noise_model (threeML.plugins.SpectrumLike.SpectrumLike property), [1] ObservatoryNode (class in threeML.utils.photometry.filter_library), [1] observed_count_errors (threeML.plugins.SpectrumLike.SpectrumLike property), [1] observed_counts (threeML.plugins.SpectrumLike.SpectrumLike property), [1] observed_spectrum (threeML.plugins.SpectrumLike.SpectrumLike property), [1] ocean (threeML.config.plotting_structure.MPLCmap attribute), [1] ocean_r (threeML.config.plotting_structure.MPLCmap attribute), [1] off (threeML.plugins.PhotometryLike.BandNode property), [1] OGIP (class in threeML.config.plugin_structure), [1] ogip (threeML.config.plugin_structure.Plugins attribute), [1]

OGIPLike (class in threeML.plugins.OGIPLike), [1] OGIPResponse (class in threeML.utils.OGIP.response), [1] on (threeML.plugins.PhotometryLike.BandNode property), [1] Optimizer (class in threeML.config.fitting_structure), [1] Oranges (threeML.config.plotting_structure.MPLCmap attribute), [1] Oranges_r (threeML.config.plotting_structure.MPLCmap attribute), [1] OrRd (threeML.config.plotting_structure.MPLCmap attribute), [1] OrRd_r (threeML.config.plotting_structure.MPLCmap attribute), [1] other_observing_instruments (threeML.catalogs.Swift.SwiftGRBCatalog property), [1] OverLappingIntervals, [1], [2], [3] overlaps_with() (threeML.utils.interval.Interval method), [1]

P

Paired (threeML.config.plotting_structure.MPLCmap attribute), [1] Paired_r (threeML.config.plotting_structure.MPLCmap attribute), [1] Parallel (class in threeML.config.config_structure), [1] parallel (threeML.config.config_structure.Config attribute), [1] parallel_computation() (in module threeML.parallel.parallel_client), [1] ParallelClient (class in threeML.parallel.parallel_client), [1] ParameterIsNotFree, [1] ParameterOnBoundary, [1] parameters (threeML.minimizer.minimization.Minimizer property), [1] Pastel1 (threeML.config.plotting_structure.MPLCmap attribute), [1] Pastel1_r (threeML.config.plotting_structure.MPLCmap attribute), [1] Pastel2 (threeML.config.plotting_structure.MPLCmap attribute), [1] Pastel2_r (threeML.config.plotting_structure.MPLCmap attribute), [1] path (threeML.config.config_structure.Logging attribute), [1] path_exists_and_is_directory() (in module threeML.io.file_utils), [1] PHAII (class in threeML.utils.OGIP.pha), [1] PHASpectrum (class in threeML.utils.spectrum.pha_spectrum), [1] PHASpectrumSet (class in threeML.utils.spectrum.pha_spectrum), [1] PHAWrite (class in threeML.utils.OGIP.pha), [1] Photo (class in threeML.config.plugin_structure), [1] photo (threeML.config.plugin_structure.Plugins attribute), [1] PhotometericObservation (class in threeML.utils.photometry.photometric_observation), [1] PhotometryLike (class in threeML.plugins.PhotometryLike), [1] pink (threeML.config.plotting_structure.MPLCmap attribute), [1] pink_r (threeML.config.plotting_structure.MPLCmap attribute), [1] PiYG (threeML.config.plotting_structure.MPLCmap attribute), [1] PiYG_r (threeML.config.plotting_structure.MPLCmap attribute), [1] plasma (threeML.config.plotting_structure.MPLCmap attribute), [1] plasma_r (threeML.config.plotting_structure.MPLCmap attribute), [1] plot() (threeML.plugins.experimental.CastroLike.CastroLike method), [1] (threeML.plugins.PhotometryLike.PhotometryLike method), [1] (threeML.plugins.UnresolvedExtendedXYLike.UnresolvedExtendedXYLike method), [1] (threeML.plugins.XYLike.XYLike method), [1] plot_all_contours() (threeML.classicMLE.joint_likelihood.JointLikelihood method), [1] plot_chains() (threeML.analysis_results.BayesianResults method), [1] (threeML.bayesian.bayesian_analysis.BayesianAnalysis method), [1] plot_filters() (threeML.utils.photometry.filter_set.FilterSet method), [1] plot_likelihood_function() (in module threeML.bayesian.tutorial_material), [1] (in module threeML.minimizer.tutorial_material), [1] plot_matrix() (threeML.utils.OGIP.response.InstrumentResponse method), [1] plot_minimizer_path() (in module threeML.minimizer.tutorial_material), [1] plot_point_source_spectra() (in module threeML.io.plotting.model_plot), [1] plot_sample_path() (in module threeML.bayesian.tutorial_material), [1] plot_spectra() (in module threeML.io.plotting.model_plot), [1] plot_style (threeML.config.plotting_structure.PointSourcePlot attribute), [1] plot_TS_distribution() (threeML.classicMLE.likelihood_ratio_test.LikelihoodRatioTest method), [1] plot_tte_lightcurve() (in module threeML.io.plotting.light_curve_plots), [1] PlotStyle (class in threeML.config.plotting_structure), [1]

plotting (threeML.config.config_structure.Config attribute), [1] PluginPrototype (class in threeML.plugin_prototype), [1] Plugins (class in threeML.config.plugin_structure), [1] plugins (threeML.config.config_structure.Config attribute), [1] point_source (threeML.config.config_structure.Config attribute), [1] point_source_plot (threeML.config.plotting_structure.ModelPlotting attribute), [1] PointSourceDefaults (class in threeML.config.point_source_structure), [1] PointSourcePlot (class in threeML.config.plotting_structure), [1] poisson_log_likelihood_ideal_bkg() (in module threeML.utils.statistics.likelihood_functions), [1] poisson_observed_gaussian_background() (in module threeML.utils.statistics.likelihood_functions), [1] poisson_observed_poisson_background() (in module threeML.utils.statistics.likelihood_functions), [1] poisson_observed_poisson_background_xs() (in module threeML.utils.statistics.likelihood_functions), [1] PoissonObservedGaussianBackgroundStatistic (class in threeML.utils.spectrum.spectrum_likelihood), [1] PoissonObservedIdealBackgroundStatistic (class in threeML.utils.spectrum.spectrum_likelihood), [1] PoissonObservedModeledBackgroundStatistic (class in threeML.utils.spectrum.spectrum_likelihood), [1] PoissonObservedNoBackgroundStatistic (class in threeML.utils.spectrum.spectrum_likelihood), [1] PoissonObservedPoissonBackgroundStatistic (class in threeML.utils.spectrum.spectrum_likelihood), [1] PoissonResiduals (class in threeML.utils.statistics.stats_tools), [1] poly_fit_exists (threeML.utils.time_series.time_series.TimeSeries property), [1] poly_order (threeML.utils.time_series.time_series.TimeSeries property), [1] polyfit() (in module threeML.utils.time_series.polynomial), [1] Polynomial (class in threeML.utils.time_series.polynomial), [1] polynomials (threeML.utils.time_series.time_series.TimeSeries property), [1] pop() (threeML.utils.interval.IntervalSet method), [1] PRGn (threeML.config.plotting_structure.MPLCmap attribute), [1] PRGn_r (threeML.config.plotting_structure.MPLCmap attribute), [1] prism (threeML.config.plotting_structure.MPLCmap attribute), [1] prism_r (threeML.config.plotting_structure.MPLCmap attribute), [1] profile_color (threeML.config.fitting_structure.MLEDefault attribute), [1] profile_level_1 (threeML.config.fitting_structure.MLEDefault attribute), [1] profile_level_2 (threeML.config.fitting_structure.MLEDefault attribute), [1] profile_level_3 (threeML.config.fitting_structure.MLEDefault attribute), [1] profile_name (threeML.config.config_structure.Parallel attribute), [1] ProfileLikelihood (class in threeML.minimizer.minimization), [1] progress_bar_color (threeML.config.config_structure.Interface attribute), [1] progress_bars (threeML.config.config_structure.Interface attribute), [1] public_ftp_location (threeML.config.catalog_structure.PublicDataServer attribute), [1] public_http_location (threeML.config.catalog_structure.PublicDataServer attribute), [1] PublicDataServer (class in threeML.config.catalog_structure), [1] PuBu (threeML.config.plotting_structure.MPLCmap attribute), [1] PuBu_r (threeML.config.plotting_structure.MPLCmap attribute), [1] PuBuGn (threeML.config.plotting_structure.MPLCmap attribute), [1] PuBuGn_r (threeML.config.plotting_structure.MPLCmap attribute), [1] PuOr (threeML.config.plotting_structure.MPLCmap attribute), [1] PuOr_r (threeML.config.plotting_structure.MPLCmap attribute), [1] PuRd (threeML.config.plotting_structure.MPLCmap attribute), [1] PuRd_r (threeML.config.plotting_structure.MPLCmap attribute), [1] Purples (threeML.config.plotting_structure.MPLCmap attribute), [1] Purples_r (threeML.config.plotting_structure.MPLCmap attribute), [1]

Q

quad (threeML.config.point_source_structure.IntegrateMethod attribute), [1] Quality (class in threeML.utils.spectrum.binned_spectrum), [1] quality (threeML.plugins.SpectrumLike.SpectrumLike property), [1] (threeML.utils.spectrum.binned_spectrum.BinnedSpectrum property), [1] quality_per_bin (threeML.utils.spectrum.binned_spectrum_set.BinnedSpectrumSet property), [1]

quantiles (threeML.config.plotting_structure.CornerStyle attribute), [1] query() (threeML.catalogs.VirtualObservatoryCatalog.VirtualObservatoryCatalog method), [1] query_form (threeML.config.catalog_structure.PublicDataServer attribute), [1] query_other_observing_instruments() (threeML.catalogs.Swift.SwiftGRBCatalog method), [1] query_sources() (threeML.catalogs.VirtualObservatoryCatalog.VirtualObservatoryCatalog method), [1] quiet_mode() (in module threeML.io.logging), [1]

R

ra_center (threeML.catalogs.VirtualObservatoryCatalog.VirtualObservatoryCatalog property), [1] rainbow (threeML.config.plotting_structure.MPLCmap attribute), [1] rainbow_r (threeML.config.plotting_structure.MPLCmap attribute), [1] RandomVariates (class in threeML.random_variates), [1] rate_errors (threeML.utils.spectrum.binned_spectrum.BinnedSpectrum property), [1] rate_errors_per_bin (threeML.utils.spectrum.binned_spectrum_set.BinnedSpectrumSet property), [1] rates (threeML.utils.spectrum.binned_spectrum.BinnedSpectrum property), [1] rates_per_bin (threeML.utils.spectrum.binned_spectrum_set.BinnedSpectrumSet property), [1] ratio_residuals (threeML.io.plotting.data_residual_plot.ResidualPlot property), [1] raw_samples (threeML.bayesian.bayesian_analysis.BayesianAnalysis property), [1] (threeML.bayesian.sampler_base.SamplerBase property), [1] RdBu (threeML.config.plotting_structure.MPLCmap attribute), [1] RdBu_r (threeML.config.plotting_structure.MPLCmap attribute), [1] RdGy (threeML.config.plotting_structure.MPLCmap attribute), [1] RdGy_r (threeML.config.plotting_structure.MPLCmap attribute), [1] RdPu (threeML.config.plotting_structure.MPLCmap attribute), [1] RdPu_r (threeML.config.plotting_structure.MPLCmap attribute), [1] RdYlBu (threeML.config.plotting_structure.MPLCmap attribute), [1] RdYlBu_r (threeML.config.plotting_structure.MPLCmap attribute), [1] RdYlGn (threeML.config.plotting_structure.MPLCmap attribute), [1] RdYlGn_r (threeML.config.plotting_structure.MPLCmap attribute), [1] read_bins() (threeML.utils.data_builders.time_series_builder.TimeSeriesBuilder method), [1] (threeML.utils.data_builders.TimeSeriesBuilder method), [1] rebin() (threeML.utils.binner.Rebinner method), [1] rebin_errors() (threeML.utils.binner.Rebinner method), [1] rebin_on_background() (threeML.plugins.SpectrumLike.SpectrumLike method), [1] rebin_on_source() (threeML.plugins.SpectrumLike.SpectrumLike method), [1] Rebinner (class in threeML.utils.binner), [1] recurse_dict() (in module threeML.config.config_utils), [1] recursively_load_dict_contents_from_group() (in module threeML.io.hdf5_utils), [1] recursively_save_dict_contents_to_group() (in module threeML.io.hdf5_utils), [1] Reds (threeML.config.plotting_structure.MPLCmap attribute), [1] Reds_r (threeML.config.plotting_structure.MPLCmap attribute), [1] ReducingNumberOfSteps, [1], [2], [3], [4], [5] ReducingNumberOfThreads, [1], [2], [3], [4], [5] reference_time (threeML.utils.OGIP.response.InstrumentResponseSet property), [1] (threeML.utils.spectrum.binned_spectrum_set.BinnedSpectrumSet property), [1] reference_TS (threeML.classicMLE.likelihood_ratio_test.LikelihoodRatioTest property), [1] regularized_log() (in module threeML.utils.statistics.likelihood_functions), [1]

RemoteDirectoryNotFound, [1] remove_callbacks() (threeML.minimizer.grid_minimizer.GridMinimizer method), [1] remove_rebinning() (threeML.plugins.SpectrumLike.SpectrumLike method), [1] replace_matrix() (threeML.utils.OGIP.response.InstrumentResponse method), [1] reset_tracking() (threeML.minimizer.tutorial_material.Simple method), [1] residual_axis (threeML.io.plotting.data_residual_plot.ResidualPlot property), [1] residual_plot (threeML.config.plotting_structure.GenericPlotting attribute), [1] ResidualPlot (class in threeML.config.plotting_structure), [1] (class in threeML.io.plotting.data_residual_plot), [1] response (threeML.plugins.DispersionSpectrumLike.DispersionSpectrumLike property), [1] (threeML.utils.spectrum.binned_spectrum.BinnedSpectrumWithDispersion property), [1] response_cmap (threeML.config.plugin_structure.OGIP attribute), [1] response_file (threeML.utils.spectrum.pha_spectrum.PHASpectrum property), [1] (threeML.utils.spectrum.pha_spectrum.PHASpectrumSet property), [1] response_zero_color (threeML.config.plugin_structure.OGIP attribute), [1] restore_best_fit() (threeML.classicMLE.joint_likelihood.JointLikelihood method), [1] (threeML.minimizer.minimization.Minimizer method), [1] (threeML.minimizer.minuit_minimizer.MinuitMinimizer method), [1] restore_best_fit_model() (threeML.classicMLE.joint_likelihood_set.JointLikelihoodSetAnalyzer method), [1] restore_fit() (threeML.utils.time_series.time_series.TimeSeries method), [1] restore_last_state() (threeML.io.logging.LoggingState method), [1] restore_MAP_fit() (threeML.bayesian.bayesian_analysis.BayesianAnalysis method), [1] (threeML.bayesian.sampler_base.SamplerBase method), [1] restore_median_fit() (threeML.bayesian.bayesian_analysis.BayesianAnalysis method), [1] (threeML.bayesian.sampler_base.SamplerBase method), [1] result (threeML.catalogs.VirtualObservatoryCatalog.VirtualObservatoryCatalog property), [1] results (threeML.bayesian.bayesian_analysis.BayesianAnalysis property), [1] (threeML.bayesian.sampler_base.SamplerBase property), [1] (threeML.classicMLE.joint_likelihood.JointLikelihood property), [1] (threeML.classicMLE.joint_likelihood_set.JointLikelihoodSet property), [1] ResultsTable (class in threeML.io.results_table), [1] RMF (class in threeML.utils.OGIP.response), [1] rmf (threeML.utils.OGIP.response.OGIPResponse property), [1] ROOT (threeML.config.fitting_structure.Optimizer attribute), [1] RSP (class in threeML.utils.OGIP.response), [1] rsp_filename (threeML.utils.OGIP.response.InstrumentResponse property), [1] (threeML.utils.OGIP.response.OGIPResponse property), [1] run() (threeML.utils.data_builders.fermi.lat_transient_builder.TransientLATDataBuilder method), [1] (threeML.utils.data_builders.TransientLATDataBuilder method), [1]

S

sample() (threeML.bayesian.autoemcee_sampler.AutoEmceeSampler method), [1] (threeML.bayesian.bayesian_analysis.BayesianAnalysis method), [1] (threeML.bayesian.dynesty_sampler.DynestyDynamicSampler method), [1] (threeML.bayesian.dynesty_sampler.DynestyNestedSampler method), [1] (threeML.bayesian.emcee_sampler.EmceeSampler method), [1] (threeML.bayesian.multinest_sampler.MultiNestSampler method), [1] (threeML.bayesian.nautilus_sampler.NautilusSampler method), [1] (threeML.bayesian.sampler_base.SamplerBase method), [1] (threeML.bayesian.tutorial_material.BayesianAnalysisWrap method), [1] (threeML.bayesian.ultranest_sampler.UltraNestSampler method), [1] (threeML.bayesian.zeus_sampler.ZeusSampler method), [1] Sampler (class in threeML.config.fitting_structure), [1] sampler (threeML.bayesian.bayesian_analysis.BayesianAnalysis property), [1] SamplerBase (class in threeML.bayesian.sampler_base), [1] samples (threeML.bayesian.bayesian_analysis.BayesianAnalysis property), [1] (threeML.bayesian.sampler_base.SamplerBase property), [1] (threeML.random_variates.RandomVariates property), [1] (threeML.utils.fitted_objects.fitted_source_handler.GenericFittedSourceHandler property), [1] (threeML.utils.fitted_objects.fitted_source_handler.VariatesContainer property), [1] sanitize_filename() (in module threeML.io.file_utils), [1] save_background() (threeML.utils.data_builders.time_series_builder.TimeSeriesBuilder method), [1] (threeML.utils.data_builders.TimeSeriesBuilder method), [1] (threeML.utils.time_series.time_series.TimeSeries method), [1] save_configuration() (threeML.utils.data_builders.fermi.lat_transient_builder.TransientLATDataBuilder method), [1] (threeML.utils.data_builders.TransientLATDataBuilder method), [1] scale_factor (threeML.plugins.SpectrumLike.SpectrumLike property), [1] (threeML.utils.spectrum.binned_spectrum.BinnedSpectrum property), [1] (threeML.utils.spectrum.pha_spectrum.PHASpectrum property), [1] (threeML.utils.spectrum.pha_spectrum.PHASpectrumSet property), [1] ScatteringChannel (class in threeML.utils.polarization.binned_polarization), [1] ScatteringChannelSet (class in threeML.utils.polarization.binned_polarization), [1] scipy (threeML.config.fitting_structure.Optimizer attribute), [1] ScipyMinimizer (class in threeML.minimizer.scipy_minimizer), [1] search_around_source() (threeML.catalogs.VirtualObservatoryCatalog.VirtualObservatoryCatalog method), [1] secondary_sources_color (threeML.config.plotting_structure.FermiSpectrumPlot attribute), [1] seismic (threeML.config.plotting_structure.MPLCmap attribute), [1] seismic_r (threeML.config.plotting_structure.MPLCmap attribute), [1] selection_color (threeML.config.plugin_structure.TimeSeries attribute), [1] SEQUENCE (class in threeML.analysis_results), [1] Set1 (threeML.config.plotting_structure.MPLCmap attribute), [1] Set1_r (threeML.config.plotting_structure.MPLCmap attribute), [1] Set2 (threeML.config.plotting_structure.MPLCmap attribute), [1] Set2_r (threeML.config.plotting_structure.MPLCmap attribute), [1] Set3 (threeML.config.plotting_structure.MPLCmap attribute), [1] Set3_r (threeML.config.plotting_structure.MPLCmap attribute), [1] set_active_measurements() (threeML.plugins.experimental.CastroLike.CastroLike method), [1] (threeML.plugins.SpectrumLike.SpectrumLike method), [1] set_active_time_interval() (threeML.utils.data_builders.time_series_builder.TimeSeriesBuilder method), [1] (threeML.utils.data_builders.TimeSeriesBuilder method), [1] set_active_time_intervals() (threeML.utils.time_series.binned_spectrum_series.BinnedSpectrumSeries method), [1] (threeML.utils.time_series.event_list.EventList method), [1] (threeML.utils.time_series.time_series.TimeSeries method), [1] set_algorithm() (threeML.minimizer.minimization.Minimizer method), [1] (threeML.minimizer.scipy_minimizer.ScipyMinimizer method), [1] set_background_integrate_method() (threeML.plugins.SpectrumLike.SpectrumLike method), [1] set_background_interval() (threeML.utils.data_builders.time_series_builder.TimeSeriesBuilder method), [1] (threeML.utils.data_builders.TimeSeriesBuilder method), [1] (threeML.utils.time_series.time_series.TimeSeries method), [1] set_bins() (threeML.analysis_results.AnalysisResultsSet method), [1] set_covariace_matrix() (threeML.utils.time_series.polynomial.Polynomial method), [1] set_fixed_values() (threeML.minimizer.minimization.FunctionWrapper method), [1] set_function() (threeML.utils.OGIP.response.InstrumentResponse method), [1] set_inner_minimization() (threeML.plugins.FermipyLike.FermipyLike method), [1] set_minimizer() (threeML.classicMLE.joint_likelihood.JointLikelihood method), [1] (threeML.classicMLE.joint_likelihood_set.JointLikelihoodSet method), [1] set_minus_log_likelihood() (threeML.minimizer.tutorial_material.CustomLikelihoodLike method), [1] set_model() (threeML.minimizer.tutorial_material.CustomLikelihoodLike method), [1] (threeML.plugin_prototype.PluginPrototype method), [1] (threeML.plugins.DispersionSpectrumLike.DispersionSpectrumLike method), [1] (threeML.plugins.experimental.CastroLike.CastroLike method), [1] (threeML.plugins.FermipyLike.FermipyLike method), [1] (threeML.plugins.PhotometryLike.PhotometryLike method), [1] (threeML.plugins.SpectrumLike.SpectrumLike method), [1] (threeML.plugins.UnbinnedPoissonLike.UnbinnedPoissonLike method), [1] (threeML.plugins.UnresolvedExtendedXYLike.UnresolvedExtendedXYLike method), [1] (threeML.plugins.XYLike.XYLike method), [1] (threeML.utils.photometry.filter_set.FilterSet method), [1] set_model_integrate_method() (threeML.plugins.DispersionSpectrumLike.DispersionSpectrumLike method), [1] (threeML.plugins.SpectrumLike.SpectrumLike method), [1] set_nuisance_parameter_value() (threeML.plugins.FermipyLike.FermipyLike method), [1] set_ogip_grouping() (threeML.utils.spectrum.pha_spectrum.PHASpectrum method), [1] (threeML.utils.spectrum.pha_spectrum.PHASpectrumSet method), [1] set_polynomial_fit_interval() (threeML.utils.time_series.time_series.TimeSeries method), [1] set_sampler() (threeML.bayesian.bayesian_analysis.BayesianAnalysis method), [1] set_threeML_style() (in module threeML.io.plotting.get_style), [1] set_x() (threeML.analysis_results.AnalysisResultsSet method), [1] setup() (threeML.bayesian.autoemcee_sampler.AutoEmceeSampler method), [1] (threeML.bayesian.dynesty_sampler.DynestyDynamicSampler method), [1] (threeML.bayesian.dynesty_sampler.DynestyNestedSampler method), [1] (threeML.bayesian.emcee_sampler.EmceeSampler method), [1] (threeML.bayesian.multinest_sampler.MultiNestSampler method), [1] (threeML.bayesian.nautilus_sampler.NautilusSampler method), [1] (threeML.bayesian.sampler_base.SamplerBase method), [1] (threeML.bayesian.ultranest_sampler.UltraNestSampler method), [1] (threeML.bayesian.zeus_sampler.ZeusSampler method), [1] (threeML.minimizer.minimization.GlobalMinimization method), [1]

setup_logger() (in module threeML.io.logging), [1] shade_fixed_sources (threeML.config.plotting_structure.FermiSpectrumPlot attribute), [1] shade_secondary_sources (threeML.config.plotting_structure.FermiSpectrumPlot attribute), [1] shadow (threeML.config.plotting_structure.LegendStyle attribute), [1] ShareSpectrum (class in threeML.utils.spectrum.share_spectrum), [1] show_background (threeML.config.plotting_structure.BinnedSpectrumPlot attribute), [1] show_background_sources (threeML.config.plotting_structure.FermiSpectrumPlot attribute), [1] show_configuration() (in module threeML.config.config_utils), [1] show_legend (threeML.config.plotting_structure.BinnedSpectrumPlot attribute), [1] (threeML.config.plotting_structure.FermiSpectrumPlot attribute), [1] (threeML.config.plotting_structure.PointSourcePlot attribute), [1] show_residuals (threeML.config.plotting_structure.BinnedSpectrumPlot attribute), [1] (threeML.config.plotting_structure.FermiSpectrumPlot attribute), [1] (threeML.io.plotting.data_residual_plot.ResidualPlot property), [1] show_titles (threeML.config.plotting_structure.CornerStyle attribute), [1] Significance (class in threeML.utils.statistics.stats_tools), [1] significance (threeML.plugins.SpectrumLike.SpectrumLike property), [1] significance_one_side() (threeML.utils.statistics.stats_tools.PoissonResiduals method), [1] significance_per_channel (threeML.plugins.SpectrumLike.SpectrumLike property), [1] significance_per_interval (threeML.utils.data_builders.time_series_builder.TimeSeriesBuilder property), [1] (threeML.utils.data_builders.TimeSeriesBuilder property), [1] silence_console_log() (in module threeML.io.logging), [1] silence_logs() (in module threeML.io.logging), [1] (threeML.io.logging.LoggingState method), [1] silence_progress_bars() (in module threeML.io.logging), [1] silence_warnings() (in module threeML.io.logging), [1] Simple (class in threeML.minimizer.tutorial_material), [1] simulated_parameters (threeML.plugins.SpectrumLike.SpectrumLike property), [1] size (threeML.config.plotting_structure.ResidualPlot attribute), [1] slice_disjoint() (in module threeML.io.plotting.light_curve_plots), [1] smooth (threeML.config.plotting_structure.CornerStyle attribute), [1] sort() (threeML.utils.interval.IntervalSet method), [1] (threeML.utils.spectrum.binned_spectrum_set.BinnedSpectrumSet method), [1] source_rate (threeML.plugins.SpectrumLike.SpectrumLike property), [1] source_rate_error (threeML.plugins.SpectrumLike.SpectrumLike property), [1] speclite_filters (threeML.utils.photometry.filter_set.FilterSet property), [1] SPECRESP_MATRIX (class in threeML.utils.OGIP.response), [1] Spectral (threeML.config.plotting_structure.MPLCmap attribute), [1] Spectral_r (threeML.config.plotting_structure.MPLCmap attribute), [1] SpectralContourPlot (class in threeML.io.plotting.model_plot), [1] SPECTRUM (class in threeML.utils.OGIP.pha), [1] SpectrumLike (class in threeML.plugins.SpectrumLike), [1] spring (threeML.config.plotting_structure.MPLCmap attribute), [1] spring_r (threeML.config.plotting_structure.MPLCmap attribute), [1] sqrt_sum_of_squares() (in module threeML.utils.statistics.stats_tools), [1] start (threeML.plugins.experimental.CastroLike.CastroLike property), [1] (threeML.plugins.experimental.CastroLike.IntervalContainer property), [1] (threeML.plugins.UnbinnedPoissonLike.EventObservation property), [1] (threeML.utils.interval.Interval property), [1] start_time (threeML.utils.time_interval.TimeInterval property), [1] start_times (threeML.utils.time_interval.TimeIntervalSet property), [1] start_tracking() (threeML.minimizer.tutorial_material.Simple method), [1] starts (threeML.utils.interval.IntervalSet property), [1] startup_warnings (threeML.config.config_structure.Logging attribute), [1] std (threeML.random_variates.RandomVariates property), [1] step (threeML.config.plotting_structure.BinnedSpectrumPlot attribute), [1] (threeML.config.plotting_structure.FermiSpectrumPlot attribute), [1] step() (threeML.minimizer.minimization.ProfileLikelihood method), [1] step_generator() (in module threeML.utils.step_parameter_generator), [1] step_plot() (in module threeML.io.plotting.step_plot), [1] stop (threeML.plugins.experimental.CastroLike.CastroLike property), [1] (threeML.plugins.experimental.CastroLike.IntervalContainer property), [1] (threeML.plugins.UnbinnedPoissonLike.EventObservation property), [1] (threeML.utils.interval.Interval property), [1] stop_time (threeML.utils.time_interval.TimeInterval property), [1] stop_times (threeML.utils.time_interval.TimeIntervalSet property), [1] stop_tracking() (threeML.minimizer.tutorial_material.Simple method), [1] stops (threeML.utils.interval.IntervalSet property), [1] summer (threeML.config.plotting_structure.MPLCmap attribute), [1] summer_r (threeML.config.plotting_structure.MPLCmap attribute), [1] suppress_stdout() (in module threeML.io.suppress_stdout), [1] Swift (threeML.config.catalog_structure.Catalogs attribute), [1] SwiftGRBCatalog (class in threeML.catalogs.Swift), [1] SwiftXRTLike (class in threeML.plugins.SwiftXRTLike), [1] synthetic_background_plugin (threeML.utils.spectrum.spectrum_likelihood.PoissonObservedModeledBackgroundStatistic property), [1] sys_errors (threeML.utils.histogram.Histogram property), [1] (threeML.utils.spectrum.binned_spectrum.BinnedSpectrum property), [1] sys_errors_per_bin (threeML.utils.spectrum.binned_spectrum_set.BinnedSpectrumSet property), [1]

T

tab10 (threeML.config.plotting_structure.MPLCmap attribute), [1] tab10_r (threeML.config.plotting_structure.MPLCmap attribute), [1] tab20 (threeML.config.plotting_structure.MPLCmap attribute), [1] tab20_r (threeML.config.plotting_structure.MPLCmap attribute), [1] tab20b (threeML.config.plotting_structure.MPLCmap attribute), [1] tab20b_r (threeML.config.plotting_structure.MPLCmap attribute), [1] tab20c (threeML.config.plotting_structure.MPLCmap attribute), [1] tab20c_r (threeML.config.plotting_structure.MPLCmap attribute), [1] Table (class in threeML.io.table), [1] tag (threeML.plugin_prototype.PluginPrototype property), [1] TemporalBinner (class in threeML.utils.binner), [1] temporary_directory() (in module threeML.io.file_utils), [1] terrain (threeML.config.plotting_structure.MPLCmap attribute), [1] terrain_r (threeML.config.plotting_structure.MPLCmap attribute), [1] test_all_toggles() (in module threeML.test.test_verbosity), [1] test_get_package_data() (in module threeML.test.test_get_package_data), [1] test_is_power_of_two() (in module threeML.test.test_power_of_two_utils), [1] test_logging_toggles() (in module threeML.test.test_verbosity), [1] test_next_power_of_two() (in module threeML.test.test_power_of_two_utils), [1] test_poisson_classes() (in module threeML.test.test_generic), [1] test_progress_bars() (in module threeML.test.test_verbosity), [1] test_step_generator_setup() (in module threeML.test.test_generic), [1] test_UnresolvedExtendedxy_plot() (in module threeML.test.test_UnresolvedExtendedXYLike), [1] test_UnresolvedExtendedXYLike_assign_to_source() (in module threeML.test.test_UnresolvedExtendedXYLike), [1] test_UnresolvedExtendedXYLike_chi2() (in module threeML.test.test_UnresolvedExtendedXYLike), [1] test_UnresolvedExtendedXYLike_dataframe() (in module threeML.test.test_UnresolvedExtendedXYLike), [1] test_UnresolvedExtendedXYLike_poisson() (in module threeML.test.test_UnresolvedExtendedXYLike), [1] test_UnresolvedExtendedXYLike_txt() (in module threeML.test.test_UnresolvedExtendedXYLike), [1] test_xy_plot() (in module threeML.test.test_XYLike), [1] test_XYLike_assign_to_source() (in module threeML.test.test_XYLike), [1] test_XYLike_chi2() (in module threeML.test.test_XYLike), [1] test_XYLike_dataframe() (in module threeML.test.test_XYLike), [1] test_XYLike_poisson() (in module threeML.test.test_XYLike), [1] test_XYLike_txt() (in module threeML.test.test_XYLike), [1] threeML module, [1] threeML.analysis_results module, [1] threeML.bayesian module, [1] threeML.bayesian.autoemcee_sampler module, [1] threeML.bayesian.bayesian_analysis module, [1] threeML.bayesian.dynesty_sampler module, [1] threeML.bayesian.emcee_sampler module, [1] threeML.bayesian.multinest_sampler module, [1] threeML.bayesian.nautilus_sampler module, [1] threeML.bayesian.sampler_base module, [1] threeML.bayesian.tutorial_material module, [1] threeML.bayesian.ultranest_sampler module, [1] threeML.bayesian.zeus_sampler module, [1] threeML.catalogs module, [1] threeML.catalogs.catalog_utils module, [1] threeML.catalogs.Fermi module, [1] threeML.catalogs.FermiGBM module, [1] threeML.catalogs.FermiLAT module, [1] threeML.catalogs.FermiLLE module, [1] threeML.catalogs.Swift module, [1] threeML.catalogs.VirtualObservatoryCatalog module, [1] threeML.classicMLE module, [1] threeML.classicMLE.goodness_of_fit module, [1] threeML.classicMLE.joint_likelihood module, [1] threeML.classicMLE.joint_likelihood_set module, [1] threeML.classicMLE.likelihood_ratio_test module, [1] threeML.config module, [1] threeML.config.catalog_structure module, [1] threeML.config.config module, [1] threeML.config.config_structure module, [1] threeML.config.config_utils module, [1] threeML.config.fitting_structure module, [1] threeML.config.plotting_structure module, [1] threeML.config.plugin_structure module, [1] threeML.config.point_source_structure module, [1] threeML.data_list module, [1] threeML.exceptions module, [1] threeML.exceptions.custom_exceptions module, [1] threeML.io module, [1] threeML.io.calculate_flux module, [1] threeML.io.cern_root_utils module, [1] threeML.io.configuration module, [1] threeML.io.detect_notebook module, [1] threeML.io.dict_with_pretty_print module, [1] threeML.io.download_from_ftp module, [1] threeML.io.download_from_http module, [1] threeML.io.file_utils module, [1] threeML.io.fits_file module, [1] threeML.io.get_heasarc_table_as_pandas module, [1] threeML.io.hdf5_utils module, [1] threeML.io.logging module, [1] threeML.io.network module, [1] threeML.io.package_data module, [1] threeML.io.plotting module, [1] threeML.io.plotting.cmap_cycle module, [1] threeML.io.plotting.data_residual_plot module, [1] threeML.io.plotting.get_style module, [1] threeML.io.plotting.light_curve_plots module, [1] threeML.io.plotting.model_plot module, [1] threeML.io.plotting.model_plot_2D module threeML.io.plotting.model_plot_tags module threeML.io.plotting.post_process_data_plots module, [1] threeML.io.plotting.step_plot module, [1] threeML.io.results_table module, [1] threeML.io.rich_display module, [1] threeML.io.serialization module, [1] threeML.io.suppress_stdout module, [1] threeML.io.table module, [1] threeML.io.uncertainty_formatter module, [1] threeML.minimizer module, [1] threeML.minimizer.grid_minimizer module, [1] threeML.minimizer.minimization module, [1] threeML.minimizer.minuit_minimizer module, [1] threeML.minimizer.scipy_minimizer module, [1] threeML.minimizer.tutorial_material module, [1] threeML.parallel module, [1] threeML.parallel.parallel_client module, [1] threeML.plugin_prototype module, [1] threeML.plugins module, [1] threeML.plugins.BinnedProfileLike module threeML.plugins.DispersionSpectrumLike module, [1] threeML.plugins.experimental module, [1] threeML.plugins.experimental.CastroLike module, [1] threeML.plugins.FermipyLike module, [1] threeML.plugins.OGIPLike module, [1] threeML.plugins.PhotometryLike module, [1] threeML.plugins.SpectrumLike module, [1] threeML.plugins.SwiftXRTLike module, [1]

threeML.plugins.UnbinnedPoissonLike module, [1] threeML.plugins.UnresolvedExtendedXYLike module, [1] threeML.plugins.XYLike module, [1] threeML.random_variates module, [1] threeML.test module, [1] threeML.test.test_generic module, [1] threeML.test.test_get_package_data module, [1] threeML.test.test_power_of_two_utils module, [1] threeML.test.test_UnresolvedExtendedXYLike module, [1] threeML.test.test_verbosity module, [1] threeML.test.test_XYLike module, [1] threeML.utils module, [1] threeML.utils.bayesian_blocks module, [1] threeML.utils.binner module, [1] threeML.utils.cartesian module, [1] threeML.utils.data_builders module, [1] threeML.utils.data_builders.fermi module, [1] threeML.utils.data_builders.fermi.gbm_data module, [1] threeML.utils.data_builders.fermi.lat_data module, [1] threeML.utils.data_builders.fermi.lat_transient_builder module, [1] threeML.utils.data_builders.time_series_builder module, [1] threeML.utils.data_download module, [1] threeML.utils.data_download.Fermi_GBM module, [1] threeML.utils.data_download.Fermi_GBM.download_GBM_data module, [1] threeML.utils.data_download.Fermi_LAT module, [1] threeML.utils.data_download.Fermi_LAT.download_LAT_data module, [1] threeML.utils.data_download.Fermi_LAT.download_LLE_data module, [1] threeML.utils.differentiation module, [1] threeML.utils.fermi_relative_mission_time module, [1] threeML.utils.fitted_objects module, [1] threeML.utils.fitted_objects.fitted_point_sources module, [1] threeML.utils.fitted_objects.fitted_source_handler module, [1] threeML.utils.histogram module, [1] threeML.utils.interval module, [1] threeML.utils.numba_utils module, [1] threeML.utils.OGIP module, [1] threeML.utils.OGIP.pha module, [1] threeML.utils.OGIP.response module, [1] threeML.utils.photometry module, [1] threeML.utils.photometry.filter_library module, [1] threeML.utils.photometry.filter_set module, [1] threeML.utils.photometry.photometric_observation module, [1] threeML.utils.polarization module, [1] threeML.utils.polarization.binned_polarization module, [1] threeML.utils.power_of_two_utils module, [1] threeML.utils.progress_bar module, [1] threeML.utils.spectrum module, [1] threeML.utils.spectrum.binned_spectrum module, [1] threeML.utils.spectrum.binned_spectrum_set module, [1] threeML.utils.spectrum.pha_spectrum module, [1] threeML.utils.spectrum.share_spectrum module, [1] threeML.utils.spectrum.spectrum_likelihood module, [1] threeML.utils.statistics module, [1] threeML.utils.statistics.gammaln module, [1] threeML.utils.statistics.likelihood_functions module, [1] threeML.utils.statistics.stats_tools module, [1] threeML.utils.step_parameter_generator module, [1] threeML.utils.string_utils module, [1] threeML.utils.time_interval module, [1] threeML.utils.time_series module, [1] threeML.utils.time_series.binned_spectrum_series module, [1] threeML.utils.time_series.event_list module, [1] threeML.utils.time_series.polynomial module, [1] threeML.utils.time_series.time_series module, [1] threeML.utils.unique_deterministic_tag module, [1] time_edges (threeML.utils.time_interval.TimeIntervalSet property), [1] time_intervals (threeML.utils.spectrum.binned_spectrum_set.BinnedSpectrumSet property), [1] (threeML.utils.time_series.time_series.TimeSeries property), [1] time_series (threeML.config.config_structure.Config attribute), [1] (threeML.utils.data_builders.time_series_builder.TimeSeriesBuilder property), [1] (threeML.utils.data_builders.TimeSeriesBuilder property), [1] time_to_index() (threeML.utils.spectrum.binned_spectrum_set.BinnedSpectrumSet method), [1] TimeInterval (class in threeML.utils.time_interval), [1] TimeIntervalSet (class in threeML.utils.time_interval), [1] TimeSeries (class in threeML.config.plugin_structure), [1] (class in threeML.utils.time_series.time_series), [1] TimeSeriesBuilder (class in threeML.utils.data_builders), [1] (class in threeML.utils.data_builders.time_series_builder), [1] TimeSeriesFit (class in threeML.config.plugin_structure), [1] TimeTypeNotKnown, [1] title_fmt (threeML.config.plotting_structure.CornerStyle attribute), [1] to_binned_spectrum() (threeML.utils.spectrum.pha_spectrum.PHASpectrum method), [1] to_csv() (threeML.plugins.XYLike.XYLike method), [1] to_dataframe() (threeML.plugins.XYLike.XYLike method), [1] to_fits() (threeML.utils.OGIP.response.InstrumentResponse method), [1] to_hdf5() (threeML.utils.photometry.photometric_observation.PhotometericObservation method), [1] to_LATLike() (threeML.utils.data_builders.fermi.lat_transient_builder.LATObservation method), [1] (threeML.utils.data_builders.fermi.lat_transient_builder.TransientLATDataBuilder method), [1] (threeML.utils.data_builders.TransientLATDataBuilder method), [1] to_ogip() (threeML.utils.spectrum.binned_spectrum.Quality method), [1] to_pandas() (threeML.utils.spectrum.binned_spectrum.BinnedSpectrum method), [1] to_polarlike() (threeML.utils.data_builders.time_series_builder.TimeSeriesBuilder method), [1] (threeML.utils.data_builders.TimeSeriesBuilder method), [1] to_spectrumlike() (threeML.utils.data_builders.time_series_builder.TimeSeriesBuilder method), [1] (threeML.utils.data_builders.TimeSeriesBuilder method), [1] to_string() (threeML.utils.interval.Interval method), [1] (threeML.utils.interval.IntervalSet method), [1] to_txt() (threeML.plugins.XYLike.XYLike method), [1] toggle_progress_bars() (in module threeML.io.logging), [1] total (threeML.utils.histogram.Histogram property), [1] total_count (threeML.utils.spectrum.binned_spectrum.BinnedSpectrum property), [1] total_count_error (threeML.utils.spectrum.binned_spectrum.BinnedSpectrum property), [1] total_counts_per_interval (threeML.utils.data_builders.time_series_builder.TimeSeriesBuilder property), [1] (threeML.utils.data_builders.TimeSeriesBuilder property), [1] total_error (threeML.utils.histogram.Histogram property), [1] total_model_color (threeML.config.plotting_structure.FermiSpectrumPlot attribute), [1] total_rate (threeML.utils.spectrum.binned_spectrum.BinnedSpectrum property), [1] total_rate_error (threeML.utils.spectrum.binned_spectrum.BinnedSpectrum property), [1] tqdm() (in module threeML.utils.progress_bar), [1] trange() (in module threeML.utils.progress_bar), [1] transform() (in module threeML.utils.fitted_objects.fitted_source_handler), [1] TransientLATDataBuilder (class in threeML.utils.data_builders), [1] (class in threeML.utils.data_builders.fermi.lat_transient_builder), [1] trap_integral() (in module threeML.utils.fitted_objects.fitted_point_sources), [1] trapz (threeML.config.point_source_structure.IntegrateMethod attribute), [1] trigger_time (threeML.utils.data_builders.fermi.gbm_data.GBMCdata property), [1] (threeML.utils.data_builders.fermi.gbm_data.GBMTTEFile property), [1] (threeML.utils.data_builders.fermi.lat_data.LLEFile property), [1] TriggerDoesNotExist, [1] triggername (threeML.utils.data_builders.fermi.lat_transient_builder.LATObservation property), [1] TS_distribution (threeML.classicMLE.likelihood_ratio_test.LikelihoodRatioTest property), [1] tstart (threeML.plugins.SpectrumLike.SpectrumLike property), [1] (threeML.utils.data_builders.fermi.gbm_data.GBMCdata property), [1] (threeML.utils.data_builders.fermi.gbm_data.GBMTTEFile property), [1] (threeML.utils.data_builders.fermi.lat_data.LLEFile property), [1] (threeML.utils.data_builders.fermi.lat_transient_builder.LATObservation property), [1] (threeML.utils.data_builders.time_series_builder.TimeSeriesBuilder property), [1] (threeML.utils.data_builders.TimeSeriesBuilder property), [1] (threeML.utils.spectrum.binned_spectrum.BinnedSpectrum property), [1] tstop (threeML.plugins.SpectrumLike.SpectrumLike property), [1] (threeML.utils.data_builders.fermi.gbm_data.GBMCdata property), [1] (threeML.utils.data_builders.fermi.gbm_data.GBMTTEFile property), [1] (threeML.utils.data_builders.fermi.lat_data.LLEFile property), [1] (threeML.utils.data_builders.fermi.lat_transient_builder.LATObservation property), [1] (threeML.utils.data_builders.time_series_builder.TimeSeriesBuilder property), [1] (threeML.utils.data_builders.TimeSeriesBuilder property), [1] (threeML.utils.spectrum.binned_spectrum.BinnedSpectrum property), [1] turbo (threeML.config.plotting_structure.MPLCmap attribute), [1] turbo_r (threeML.config.plotting_structure.MPLCmap attribute), [1] twilight (threeML.config.plotting_structure.MPLCmap attribute), [1] twilight_r (threeML.config.plotting_structure.MPLCmap attribute), [1] twilight_shifted (threeML.config.plotting_structure.MPLCmap attribute), [1] twilight_shifted_r (threeML.config.plotting_structure.MPLCmap attribute), [1]

U

ultranest (threeML.config.fitting_structure.Sampler attribute), [1] ultranest_setup (threeML.config.fitting_structure.BayesianDefault attribute), [1] UltraNestSampler (class in threeML.bayesian.ultranest_sampler), [1] unbinned (threeML.config.plugin_structure.TimeSeriesFit attribute), [1] unbinned_polyfit() (in module threeML.utils.time_series.polynomial), [1] UnbinnedPoissonLike (class in threeML.plugins.UnbinnedPoissonLike), [1] uncertainty_formatter() (in module threeML.io.uncertainty_formatter), [1] UnitCubeSampler (class in threeML.bayesian.sampler_base), [1] UnresolvedExtendedXYLike (class in threeML.plugins.UnresolvedExtendedXYLike), [1] update_logging_level() (in module threeML.io.logging), [1]

update_nuisance_parameters() (threeML.plugin_prototype.PluginPrototype method), [1] update_tag() (threeML.utils.fitted_objects.fitted_source_handler.GenericFittedSourceHandler method), [1] upper_error (threeML.utils.fitted_objects.fitted_source_handler.GenericFittedSourceHandler property), [1] (threeML.utils.fitted_objects.fitted_source_handler.VariatesContainer property), [1] url (threeML.config.catalog_structure.CatalogServer attribute), [1] use_effective_area_correction() (threeML.plugins.SpectrumLike.SpectrumLike method), [1] use_joblib (threeML.config.config_structure.Parallel attribute), [1] use_median_fit (threeML.config.fitting_structure.BayesianDefault attribute), [1] use_parallel (threeML.config.config_structure.Parallel attribute), [1] use_threeml_style (threeML.config.plotting_structure.GenericPlotting attribute), [1] usr (threeML.config.config_structure.Logging attribute), [1]

V

valid_setup_keys (threeML.minimizer.grid_minimizer.GridMinimizer attribute), [1] (threeML.minimizer.minuit_minimizer.MinuitMinimizer attribute), [1] (threeML.minimizer.scipy_minimizer.ScipyMinimizer attribute), [1] value (threeML.random_variates.RandomVariates property), [1] (threeML.utils.data_builders.fermi.lat_transient_builder.LATLikelihoodParameter property), [1] values (threeML.utils.fitted_objects.fitted_source_handler.GenericFittedSourceHandler property), [1] (threeML.utils.fitted_objects.fitted_source_handler.VariatesContainer property), [1] values() (threeML.data_list.DataList method), [1] var (threeML.random_variates.RandomVariates property), [1] VariatesContainer (class in threeML.utils.fitted_objects.fitted_source_handler), [1] Vector() (in module threeML.utils.numba_utils), [1] VectorComplex128 (in module threeML.utils.numba_utils), [1] VectorComplex64 (in module threeML.utils.numba_utils), [1] VectorFloat32 (in module threeML.utils.numba_utils), [1] VectorFloat64 (in module threeML.utils.numba_utils), [1] VectorInt16 (in module threeML.utils.numba_utils), [1]

VectorInt32 (in module threeML.utils.numba_utils), [1] VectorInt64 (in module threeML.utils.numba_utils), [1] VectorInt8 (in module threeML.utils.numba_utils), [1] VectorUint16 (in module threeML.utils.numba_utils), [1] VectorUint32 (in module threeML.utils.numba_utils), [1] VectorUint64 (in module threeML.utils.numba_utils), [1] VectorUint8 (in module threeML.utils.numba_utils), [1] verbosity (threeML.minimizer.minimization.Minimizer property), [1] view_count_spectrum() (threeML.plugins.SpectrumLike.SpectrumLike method), [1] view_lightcurve() (threeML.utils.data_builders.time_series_builder.TimeSeriesBuilder method), [1] (threeML.utils.data_builders.TimeSeriesBuilder method), [1] (threeML.utils.time_series.binned_spectrum_series.BinnedSpectrumSeries method), [1] (threeML.utils.time_series.event_list.EventList method), [1] (threeML.utils.time_series.time_series.TimeSeries method), [1] viridis (threeML.config.plotting_structure.MPLCmap attribute), [1] viridis_r (threeML.config.plotting_structure.MPLCmap attribute), [1] VirtualObservatoryCatalog (class in threeML.catalogs.VirtualObservatoryCatalog), [1]

W

waic() (in module threeML.utils.statistics.stats_tools), [1] warn (threeML.utils.spectrum.binned_spectrum.Quality property), [1] warn_channels_color (threeML.config.plotting_structure.DataHistPlot attribute), [1] WARNING (threeML.config.config_structure.LoggingLevel attribute), [1] wavelength_bounds (threeML.utils.photometry.filter_set.FilterSet property), [1] waveunits (threeML.utils.photometry.filter_set.FilterSet property), [1] weight_by_counts() (threeML.utils.OGIP.response.InstrumentResponseSet method), [1] weight_by_exposure() (threeML.utils.OGIP.response.InstrumentResponseSet method), [1] widths (threeML.utils.interval.IntervalSet property), [1] winter (threeML.config.plotting_structure.MPLCmap attribute), [1] winter_r (threeML.config.plotting_structure.MPLCmap attribute), [1] Wistia (threeML.config.plotting_structure.MPLCmap attribute), [1]

Wistia_r (threeML.config.plotting_structure.MPLCmap attribute), [1] within_directory() (in module threeML.io.file_utils), [1] worker() (threeML.classicMLE.joint_likelihood_set.JointLikelihoodSet method), [1] write() (threeML.utils.OGIP.pha.PHAWrite method), [1] write_pha() (threeML.plugins.DispersionSpectrumLike.DispersionSpectrumLike method), [1] (threeML.plugins.OGIPLike.OGIPLike method), [1] (threeML.plugins.SpectrumLike.SpectrumLike method), [1] write_pha_from_binner() (threeML.utils.data_builders.time_series_builder.TimeSeriesBuilder method), [1] (threeML.utils.data_builders.TimeSeriesBuilder method), [1] write_to() (threeML.analysis_results.AnalysisResultsSet method), [1] (threeML.classicMLE.joint_likelihood_set.JointLikelihoodSet method), [1] writeto() (threeML.io.fits_file.FITSFile method), [1]

X

x (threeML.plugins.XYLike.XYLike property), [1] xlogy() (in module threeML.utils.statistics.likelihood_functions), [1]

xlogy_one() (in module threeML.utils.statistics.likelihood_functions), [1] XYLike (class in threeML.plugins.XYLike), [1]

Y

y (threeML.plugins.XYLike.XYLike property), [1] yerr (threeML.plugins.XYLike.XYLike property), [1] YlGn (threeML.config.plotting_structure.MPLCmap attribute), [1] YlGn_r (threeML.config.plotting_structure.MPLCmap attribute), [1] YlGnBu (threeML.config.plotting_structure.MPLCmap attribute), [1]

YlGnBu_r (threeML.config.plotting_structure.MPLCmap attribute), [1] YlOrBr (threeML.config.plotting_structure.MPLCmap attribute), [1] YlOrBr_r (threeML.config.plotting_structure.MPLCmap attribute), [1] YlOrRd (threeML.config.plotting_structure.MPLCmap attribute), [1] YlOrRd_r (threeML.config.plotting_structure.MPLCmap attribute), [1]

Z

zeus (threeML.config.fitting_structure.Sampler attribute), [1]

zeus_setup (threeML.config.fitting_structure.BayesianDefault attribute), [1] ZeusSampler (class in threeML.bayesian.zeus_sampler), [1]