threeML package

Subpackages

• threeML.bayesian package
  • Submodules
    • threeML.bayesian.autoemcee_sampler module
      • AutoEmceeSampler
        • AutoEmceeSampler.sample()
        • AutoEmceeSampler.setup()
    • threeML.bayesian.bayesian_analysis module
      • BayesianAnalysis
        • BayesianAnalysis.analysis_type
        • BayesianAnalysis.convergence_plots()
        • BayesianAnalysis.data_list
        • BayesianAnalysis.likelihood_model
        • BayesianAnalysis.log_like_values
        • BayesianAnalysis.log_marginal_likelihood
        • BayesianAnalysis.log_probability_values
        • BayesianAnalysis.plot_chains()
        • BayesianAnalysis.raw_samples
        • BayesianAnalysis.restore_MAP_fit()
        • BayesianAnalysis.restore_median_fit()
        • BayesianAnalysis.results
        • BayesianAnalysis.sample()
        • BayesianAnalysis.sampler
        • BayesianAnalysis.samples
        • BayesianAnalysis.set_sampler()
    • threeML.bayesian.dynesty_sampler module
      • DynestyDynamicSampler
        • DynestyDynamicSampler.sample()
        • DynestyDynamicSampler.setup()
      • DynestyNestedSampler
        • DynestyNestedSampler.sample()
        • DynestyNestedSampler.setup()
      • DynestyPool
        • DynestyPool.map()
      • fill_docs()
    • threeML.bayesian.emcee_sampler module
      • EmceeSampler
        • EmceeSampler.sample()
        • EmceeSampler.setup()
    • threeML.bayesian.multinest_sampler module
      • MultiNestSampler
        • MultiNestSampler.sample()
        • MultiNestSampler.setup()
    • threeML.bayesian.nautilus_sampler module
      • NautilusSampler
        • NautilusSampler.sample()
        • NautilusSampler.setup()
      • capture_arguments()
    • threeML.bayesian.sampler_base module
      • MCMCSampler
      • SamplerBase
        • SamplerBase.get_posterior()
        • SamplerBase.log_like_values
        • SamplerBase.log_marginal_likelihood
        • SamplerBase.log_probability_values
        • SamplerBase.raw_samples
        • SamplerBase.restore_MAP_fit()
        • SamplerBase.restore_median_fit()
        • SamplerBase.results
        • SamplerBase.sample()
        • SamplerBase.samples
        • SamplerBase.setup()
      • UnitCubeSampler
      • arg_median()
    • threeML.bayesian.tutorial_material module
      • BayesianAnalysisWrap
        • BayesianAnalysisWrap.sample()
      • array_to_cmap()
      • get_bayesian_analysis_object_complex_likelihood()
      • get_bayesian_analysis_object_simple_likelihood()
      • plot_likelihood_function()
      • plot_sample_path()
    • threeML.bayesian.ultranest_sampler module
      • UltraNestSampler
        • UltraNestSampler.sample()
        • UltraNestSampler.setup()
    • threeML.bayesian.zeus_sampler module
      • ZeusSampler
        • ZeusSampler.sample()
        • ZeusSampler.setup()
  • Module contents
• threeML.catalogs package
  • Submodules
    • threeML.catalogs.Fermi module
      • FermiGBMBurstCatalog
        • FermiGBMBurstCatalog.apply_format()
        • FermiGBMBurstCatalog.get_detector_information()
        • FermiGBMBurstCatalog.get_model()
      • FermiGBMTriggerCatalog
        • FermiGBMTriggerCatalog.apply_format()
      • FermiLATSourceCatalog
        • FermiLATSourceCatalog.apply_format()
        • FermiLATSourceCatalog.get_model()
      • FermiLLEBurstCatalog
        • FermiLLEBurstCatalog.apply_format()
      • ModelFrom3FGL
        • ModelFrom3FGL.fix_point_sources_within_radius()
        • ModelFrom3FGL.free_point_sources_within_radius()
    • threeML.catalogs.FermiGBM module
      • FermiGBMBurstCatalog
        • FermiGBMBurstCatalog.apply_format()
        • FermiGBMBurstCatalog.get_detector_information()
        • FermiGBMBurstCatalog.get_model()
      • FermiGBMTriggerCatalog
        • FermiGBMTriggerCatalog.apply_format()
    • threeML.catalogs.FermiLAT module
      • FermiLATSourceCatalog
        • FermiLATSourceCatalog.apply_format()
        • FermiLATSourceCatalog.get_model()
      • FermiPySourceCatalog
        • FermiPySourceCatalog.cone_search()
    • threeML.catalogs.FermiLLE module
      • FermiLLEBurstCatalog
        • FermiLLEBurstCatalog.apply_format()
    • threeML.catalogs.Swift module
      • SwiftGRBCatalog
        • SwiftGRBCatalog.apply_format()
        • SwiftGRBCatalog.get_other_instrument_information()
        • SwiftGRBCatalog.get_other_observation_information()
        • SwiftGRBCatalog.get_redshift()
        • SwiftGRBCatalog.other_observing_instruments
        • SwiftGRBCatalog.query_other_observing_instruments()
    • threeML.catalogs.VirtualObservatoryCatalog module
      • ConeSearchFailed
      • VirtualObservatoryCatalog
        • VirtualObservatoryCatalog.apply_format()
        • VirtualObservatoryCatalog.cone_search()
        • VirtualObservatoryCatalog.dec_center
        • VirtualObservatoryCatalog.get_model()
        • VirtualObservatoryCatalog.query()
        • VirtualObservatoryCatalog.query_sources()
        • VirtualObservatoryCatalog.ra_center
        • VirtualObservatoryCatalog.result
        • VirtualObservatoryCatalog.search_around_source()
    • threeML.catalogs.catalog_utils module
      • ModelFromFGL
        • ModelFromFGL.fix_extended_sources_within_radius()
        • ModelFromFGL.fix_point_sources_within_radius()
        • ModelFromFGL.free_extended_sources_within_radius()
        • ModelFromFGL.free_point_sources_within_radius()
  • Module contents
• threeML.classicMLE package
  • Submodules
    • threeML.classicMLE.goodness_of_fit module
      • GoodnessOfFit
        • GoodnessOfFit.by_mc()
        • GoodnessOfFit.get_model()
        • GoodnessOfFit.get_simulated_data()
    • threeML.classicMLE.joint_likelihood module
      • JointLikelihood
        • JointLikelihood.analysis_type
        • JointLikelihood.compute_TS()
        • JointLikelihood.correlation_matrix
        • JointLikelihood.covariance_matrix
        • JointLikelihood.current_minimum
        • JointLikelihood.data_list
        • JointLikelihood.fit()
        • JointLikelihood.fit_trace
        • JointLikelihood.get_contours()
        • JointLikelihood.get_errors()
        • JointLikelihood.likelihood_model
        • JointLikelihood.minimizer
        • JointLikelihood.minimizer_in_use
        • JointLikelihood.minus_log_like_profile()
        • JointLikelihood.plot_all_contours()
        • JointLikelihood.restore_best_fit()
        • JointLikelihood.results
        • JointLikelihood.set_minimizer()
      • NotANumberInLikelihood
      • ReducingNumberOfSteps
      • ReducingNumberOfThreads
    • threeML.classicMLE.joint_likelihood_set module
      • JointLikelihoodSet
        • JointLikelihoodSet.go()
        • JointLikelihoodSet.results
        • JointLikelihoodSet.set_minimizer()
        • JointLikelihoodSet.worker()
        • JointLikelihoodSet.write_to()
      • JointLikelihoodSetAnalyzer
        • JointLikelihoodSetAnalyzer.restore_best_fit_model()
    • threeML.classicMLE.likelihood_ratio_test module
      • LikelihoodRatioTest
        • LikelihoodRatioTest.TS_distribution
        • LikelihoodRatioTest.by_mc()
        • LikelihoodRatioTest.get_models()
        • LikelihoodRatioTest.get_simulated_data()
        • LikelihoodRatioTest.null_hypothesis_probability
        • LikelihoodRatioTest.plot_TS_distribution()
        • LikelihoodRatioTest.reference_TS
  • Module contents
• threeML.config package
  • Submodules
    • threeML.config.catalog_structure module
      • CatalogServer
        • CatalogServer.url
      • Catalogs
        • Catalogs.Fermi
        • Catalogs.Swift
      • InstrumentCatalog
        • InstrumentCatalog.catalogs
      • PublicDataServer
        • PublicDataServer.public_ftp_location
        • PublicDataServer.public_http_location
        • PublicDataServer.query_form
    • threeML.config.config module
    • threeML.config.config_structure module
      • Config
        • Config.GBM
        • Config.LAT
        • Config.bayesian
        • Config.catalogs
        • Config.interface
        • Config.logging
        • Config.mle
        • Config.model_plot
        • Config.parallel
        • Config.plotting
        • Config.plugins
        • Config.point_source
        • Config.time_series
      • Interface
        • Interface.multi_progress_cmap
        • Interface.multi_progress_color
        • Interface.progress_bar_color
        • Interface.progress_bars
      • Logging
        • Logging.console
        • Logging.developer
        • Logging.level
        • Logging.path
        • Logging.startup_warnings
        • Logging.usr
      • LoggingLevel
        • LoggingLevel.CRITICAL
        • LoggingLevel.DEBUG
        • LoggingLevel.ERROR
        • LoggingLevel.INFO
        • LoggingLevel.WARNING
      • Parallel
        • Parallel.profile_name
        • Parallel.use_joblib
        • Parallel.use_parallel
    • threeML.config.config_utils module
      • get_current_configuration_copy()
      • get_value()
      • get_value_kwargs()
      • recurse_dict()
      • show_configuration()
    • threeML.config.fitting_structure module
      • BayesianDefault
        • BayesianDefault.corner_style
        • BayesianDefault.default_sampler
        • BayesianDefault.dynesty_dynmaic_setup
        • BayesianDefault.dynesty_nested_setup
        • BayesianDefault.emcee_setup
        • BayesianDefault.multinest_setup
        • BayesianDefault.ultranest_setup
        • BayesianDefault.use_median_fit
        • BayesianDefault.zeus_setup
      • MLEDefault
        • MLEDefault.contour_background
        • MLEDefault.contour_cmap
        • MLEDefault.contour_level_1
        • MLEDefault.contour_level_2
        • MLEDefault.contour_level_3
        • MLEDefault.default_minimizer
        • MLEDefault.default_minimizer_algorithm
        • MLEDefault.default_minimizer_callback
        • MLEDefault.profile_color
        • MLEDefault.profile_level_1
        • MLEDefault.profile_level_2
        • MLEDefault.profile_level_3
      • Optimizer
        • Optimizer.ROOT
        • Optimizer.minuit
        • Optimizer.scipy
      • Sampler
        • Sampler.autoemcee
        • Sampler.dynesty_dynamic
        • Sampler.dynesty_nested
        • Sampler.emcee
        • Sampler.multinest
        • Sampler.ultranest
        • Sampler.zeus
    • threeML.config.plotting_structure module
      • BinnedSpectrumPlot
        • BinnedSpectrumPlot.background_cmap
        • BinnedSpectrumPlot.background_color
        • BinnedSpectrumPlot.background_mpl_kwargs
        • BinnedSpectrumPlot.data_cmap
        • BinnedSpectrumPlot.data_color
        • BinnedSpectrumPlot.data_mpl_kwargs
        • BinnedSpectrumPlot.model_cmap
        • BinnedSpectrumPlot.model_color
        • BinnedSpectrumPlot.model_mpl_kwargs
        • BinnedSpectrumPlot.n_colors
        • BinnedSpectrumPlot.show_background
        • BinnedSpectrumPlot.show_legend
        • BinnedSpectrumPlot.show_residuals
        • BinnedSpectrumPlot.step
      • ContourStyle
        • ContourStyle.alpha
      • CornerStyle
        • CornerStyle.bins
        • CornerStyle.cmap
        • CornerStyle.contourf_kwargs
        • CornerStyle.extremes
        • CornerStyle.fill_contours
        • CornerStyle.levels
        • CornerStyle.quantiles
        • CornerStyle.show_titles
        • CornerStyle.smooth
        • CornerStyle.title_fmt
      • DataHistPlot
        • DataHistPlot.background_color
        • DataHistPlot.bad_channels_color
        • DataHistPlot.counts_color
        • DataHistPlot.masked_channels_color
        • DataHistPlot.warn_channels_color
      • FermiSpectrumPlot
        • FermiSpectrumPlot.background_cmap
        • FermiSpectrumPlot.background_color
        • FermiSpectrumPlot.background_mpl_kwargs
        • FermiSpectrumPlot.data_cmap
        • FermiSpectrumPlot.data_color
        • FermiSpectrumPlot.data_mpl_kwargs
        • FermiSpectrumPlot.fixed_sources_color
        • FermiSpectrumPlot.model_cmap
        • FermiSpectrumPlot.model_color
        • FermiSpectrumPlot.model_mpl_kwargs
        • FermiSpectrumPlot.secondary_sources_color
        • FermiSpectrumPlot.shade_fixed_sources
        • FermiSpectrumPlot.shade_secondary_sources
        • FermiSpectrumPlot.show_background_sources
        • FermiSpectrumPlot.show_legend
        • FermiSpectrumPlot.show_residuals
        • FermiSpectrumPlot.step
        • FermiSpectrumPlot.total_model_color
      • GenericPlotting
        • GenericPlotting.mplstyle
        • GenericPlotting.residual_plot
        • GenericPlotting.use_threeml_style
      • LegendStyle
        • LegendStyle.fancybox
        • LegendStyle.loc
        • LegendStyle.shadow
      • MPLCmap
        • MPLCmap.Accent
        • MPLCmap.Accent_r
        • MPLCmap.Blues
        • MPLCmap.Blues_r
        • MPLCmap.BrBG
        • MPLCmap.BrBG_r
        • MPLCmap.BuGn
        • MPLCmap.BuGn_r
        • MPLCmap.BuPu
        • MPLCmap.BuPu_r
        • MPLCmap.CMRmap
        • MPLCmap.CMRmap_r
        • MPLCmap.Dark2
        • MPLCmap.Dark2_r
        • MPLCmap.GnBu
        • MPLCmap.GnBu_r
        • MPLCmap.Grays
        • MPLCmap.Grays_r
        • MPLCmap.Greens
        • MPLCmap.Greens_r
        • MPLCmap.Greys
        • MPLCmap.Greys_r
        • MPLCmap.OrRd
        • MPLCmap.OrRd_r
        • MPLCmap.Oranges
        • MPLCmap.Oranges_r
        • MPLCmap.PRGn
        • MPLCmap.PRGn_r
        • MPLCmap.Paired
        • MPLCmap.Paired_r
        • MPLCmap.Pastel1
        • MPLCmap.Pastel1_r
        • MPLCmap.Pastel2
        • MPLCmap.Pastel2_r
        • MPLCmap.PiYG
        • MPLCmap.PiYG_r
        • MPLCmap.PuBu
        • MPLCmap.PuBuGn
        • MPLCmap.PuBuGn_r
        • MPLCmap.PuBu_r
        • MPLCmap.PuOr
        • MPLCmap.PuOr_r
        • MPLCmap.PuRd
        • MPLCmap.PuRd_r
        • MPLCmap.Purples
        • MPLCmap.Purples_r
        • MPLCmap.RdBu
        • MPLCmap.RdBu_r
        • MPLCmap.RdGy
        • MPLCmap.RdGy_r
        • MPLCmap.RdPu
        • MPLCmap.RdPu_r
        • MPLCmap.RdYlBu
        • MPLCmap.RdYlBu_r
        • MPLCmap.RdYlGn
        • MPLCmap.RdYlGn_r
        • MPLCmap.Reds
        • MPLCmap.Reds_r
        • MPLCmap.Set1
        • MPLCmap.Set1_r
        • MPLCmap.Set2
        • MPLCmap.Set2_r
        • MPLCmap.Set3
        • MPLCmap.Set3_r
        • MPLCmap.Spectral
        • MPLCmap.Spectral_r
        • MPLCmap.Wistia
        • MPLCmap.Wistia_r
        • MPLCmap.YlGn
        • MPLCmap.YlGnBu
        • MPLCmap.YlGnBu_r
        • MPLCmap.YlGn_r
        • MPLCmap.YlOrBr
        • MPLCmap.YlOrBr_r
        • MPLCmap.YlOrRd
        • MPLCmap.YlOrRd_r
        • MPLCmap.afmhot
        • MPLCmap.afmhot_r
        • MPLCmap.autumn
        • MPLCmap.autumn_r
        • MPLCmap.berlin
        • MPLCmap.berlin_r
        • MPLCmap.binary
        • MPLCmap.binary_r
        • MPLCmap.bone
        • MPLCmap.bone_r
        • MPLCmap.brg
        • MPLCmap.brg_r
        • MPLCmap.bwr
        • MPLCmap.bwr_r
        • MPLCmap.cividis
        • MPLCmap.cividis_r
        • MPLCmap.cool
        • MPLCmap.cool_r
        • MPLCmap.coolwarm
        • MPLCmap.coolwarm_r
        • MPLCmap.copper
        • MPLCmap.copper_r
        • MPLCmap.cubehelix
        • MPLCmap.cubehelix_r
        • MPLCmap.flag
        • MPLCmap.flag_r
        • MPLCmap.gist_earth
        • MPLCmap.gist_earth_r
        • MPLCmap.gist_gray
        • MPLCmap.gist_gray_r
        • MPLCmap.gist_grey
        • MPLCmap.gist_grey_r
        • MPLCmap.gist_heat
        • MPLCmap.gist_heat_r
        • MPLCmap.gist_ncar
        • MPLCmap.gist_ncar_r
        • MPLCmap.gist_rainbow
        • MPLCmap.gist_rainbow_r
        • MPLCmap.gist_stern
        • MPLCmap.gist_stern_r
        • MPLCmap.gist_yarg
        • MPLCmap.gist_yarg_r
        • MPLCmap.gist_yerg
        • MPLCmap.gist_yerg_r
        • MPLCmap.gnuplot
        • MPLCmap.gnuplot2
        • MPLCmap.gnuplot2_r
        • MPLCmap.gnuplot_r
        • MPLCmap.gray
        • MPLCmap.gray_r
        • MPLCmap.grey
        • MPLCmap.grey_r
        • MPLCmap.hot
        • MPLCmap.hot_r
        • MPLCmap.hsv
        • MPLCmap.hsv_r
        • MPLCmap.inferno
        • MPLCmap.inferno_r
        • MPLCmap.jet
        • MPLCmap.jet_r
        • MPLCmap.magma
        • MPLCmap.magma_r
        • MPLCmap.managua
        • MPLCmap.managua_r
        • MPLCmap.nipy_spectral
        • MPLCmap.nipy_spectral_r
        • MPLCmap.ocean
        • MPLCmap.ocean_r
        • MPLCmap.pink
        • MPLCmap.pink_r
        • MPLCmap.plasma
        • MPLCmap.plasma_r
        • MPLCmap.prism
        • MPLCmap.prism_r
        • MPLCmap.rainbow
        • MPLCmap.rainbow_r
        • MPLCmap.seismic
        • MPLCmap.seismic_r
        • MPLCmap.spring
        • MPLCmap.spring_r
        • MPLCmap.summer
        • MPLCmap.summer_r
        • MPLCmap.tab10
        • MPLCmap.tab10_r
        • MPLCmap.tab20
        • MPLCmap.tab20_r
        • MPLCmap.tab20b
        • MPLCmap.tab20b_r
        • MPLCmap.tab20c
        • MPLCmap.tab20c_r
        • MPLCmap.terrain
        • MPLCmap.terrain_r
        • MPLCmap.turbo
        • MPLCmap.turbo_r
        • MPLCmap.twilight
        • MPLCmap.twilight_r
        • MPLCmap.twilight_shifted
        • MPLCmap.twilight_shifted_r
        • MPLCmap.vanimo
        • MPLCmap.vanimo_r
        • MPLCmap.viridis
        • MPLCmap.viridis_r
        • MPLCmap.winter
        • MPLCmap.winter_r
      • ModelPlotting
        • ModelPlotting.point_source_plot
      • PlotStyle
        • PlotStyle.linestyle
        • PlotStyle.linewidth
      • PointSourcePlot
        • PointSourcePlot.bayes_cmap
        • PointSourcePlot.contour_cmap
        • PointSourcePlot.contour_style
        • PointSourcePlot.emax
        • PointSourcePlot.emin
        • PointSourcePlot.ene_unit
        • PointSourcePlot.fit_cmap
        • PointSourcePlot.flux_unit
        • PointSourcePlot.legend_style
        • PointSourcePlot.num_ene
        • PointSourcePlot.plot_style
        • PointSourcePlot.show_legend
      • ResidualPlot
        • ResidualPlot.legend_font_size
        • ResidualPlot.linewidth
        • ResidualPlot.marker
        • ResidualPlot.size
    • threeML.config.plugin_structure module
      • Fermipy
        • Fermipy.fit_plot
      • OGIP
        • OGIP.data_plot
        • OGIP.fit_plot
        • OGIP.response_cmap
        • OGIP.response_zero_color
      • Photo
        • Photo.fit_plot
      • Plugins
        • Plugins.fermipy
        • Plugins.ogip
        • Plugins.photo
      • TimeSeries
        • TimeSeries.background_color
        • TimeSeries.background_selection_color
        • TimeSeries.fit
        • TimeSeries.light_curve_color
        • TimeSeries.selection_color
      • TimeSeriesFit
        • TimeSeriesFit.bayes
        • TimeSeriesFit.fit_poly
        • TimeSeriesFit.unbinned
    • threeML.config.point_source_structure module
      • IntegrateMethod
        • IntegrateMethod.quad
        • IntegrateMethod.trapz
      • PointSourceDefaults
        • PointSourceDefaults.integrate_flux_method
        • PointSourceDefaults.max_number_samples
  • Module contents
• threeML.exceptions package
  • Submodules
    • threeML.exceptions.custom_exceptions module
      • BadCovariance
      • CannotImportPlugin
      • ConfigurationFileCorrupt
      • CppInterfaceNotAvailable
      • DetDoesNotExist
      • FitFailed
      • ForbiddenRegionOfParameterSpace
      • LikelihoodIsInfinite
      • MinLargerMax
      • MinimizerNotAvailable
      • NegativeBackground
      • NoFitYet
      • TimeTypeNotKnown
      • TriggerDoesNotExist
      • deprecated
      • my_format_warning()
  • Module contents
• threeML.io package
  • Subpackages
    • threeML.io.cern_root_utils package
      • Submodules
        • threeML.io.cern_root_utils.io_utils module
        • threeML.io.cern_root_utils.tobject_to_numpy module
      • Module contents
    • threeML.io.plotting package
      • Submodules
        • threeML.io.plotting.cmap_cycle module
          • cmap_intervals()
        • threeML.io.plotting.data_residual_plot module
          • ResidualPlot
            • ResidualPlot.add_data()
            • ResidualPlot.add_model()
            • ResidualPlot.add_model_step()
            • ResidualPlot.axes
            • ResidualPlot.data_axis
            • ResidualPlot.figure
            • ResidualPlot.finalize()
            • ResidualPlot.ratio_residuals
            • ResidualPlot.residual_axis
            • ResidualPlot.show_residuals
        • threeML.io.plotting.get_style module
          • get_threeML_style()
          • set_threeML_style()
        • threeML.io.plotting.light_curve_plots module
          • binned_light_curve_plot()
          • channel_plot()
          • disjoint_patch_plot()
          • plot_tte_lightcurve()
          • slice_disjoint()
        • threeML.io.plotting.model_plot module
          • SpectralContourPlot
            • SpectralContourPlot.add_dimensionless_model()
            • SpectralContourPlot.add_model()
            • SpectralContourPlot.finalize()
          • plot_point_source_spectra()
          • plot_spectra()
        • threeML.io.plotting.post_process_data_plots module
          • display_photometry_model_magnitudes()
          • display_spectrum_model_counts()
        • threeML.io.plotting.step_plot module
          • step_plot()
      • Module contents
  • Submodules
    • threeML.io.calculate_flux module
      • calculate_point_source_flux()
    • threeML.io.configuration module
      • get_user_data_path()
    • threeML.io.detect_notebook module
      • is_inside_notebook()
    • threeML.io.dict_with_pretty_print module
      • DictWithPrettyPrint
        • DictWithPrettyPrint.display()
    • threeML.io.download_from_ftp module
      • download_file_from_ftp()
      • download_files_from_directory_ftp()
    • threeML.io.download_from_http module
      • ApacheDirectory
        • ApacheDirectory.directories
        • ApacheDirectory.download()
        • ApacheDirectory.download_all_files()
        • ApacheDirectory.files
      • HTTPError
      • RemoteDirectoryNotFound
    • threeML.io.file_utils module
      • file_existing_and_readable()
      • fits_file_existing_and_readable()
      • get_random_unique_name()
      • if_directory_not_existing_then_make()
      • path_exists_and_is_directory()
      • sanitize_filename()
      • temporary_directory()
      • within_directory()
    • threeML.io.fits_file module
      • FITSExtension
        • FITSExtension.from_fits_file_extension()
        • FITSExtension.hdu
      • FITSFile
        • FITSFile.index_of()
        • FITSFile.info()
        • FITSFile.writeto()
    • threeML.io.get_heasarc_table_as_pandas module
      • get_heasarc_table_as_pandas()
    • threeML.io.hdf5_utils module
      • recursively_load_dict_contents_from_group()
      • recursively_save_dict_contents_to_group()
    • threeML.io.logging module
      • LoggingState
        • LoggingState.debug_logs()
        • LoggingState.loud_logs()
        • LoggingState.restore_last_state()
        • LoggingState.silence_logs()
      • activate_logs()
      • activate_progress_bars()
      • activate_warnings()
      • debug_mode()
      • get_path_of_log_dir()
      • get_path_of_log_file()
      • invalid_plugin_name()
      • loud_mode()
      • quiet_mode()
      • setup_logger()
      • silence_console_log()
      • silence_logs()
      • silence_progress_bars()
      • silence_warnings()
      • toggle_progress_bars()
      • update_logging_level()
    • threeML.io.network module
      • internet_connection_is_active()
    • threeML.io.package_data module
      • get_path_of_data_dir()
      • get_path_of_data_file()
      • get_path_of_user_config()
      • get_path_of_user_dir()
    • threeML.io.results_table module
      • ResultsTable
        • ResultsTable.display()
        • ResultsTable.frame
    • threeML.io.rich_display module
      • fallback_display()
    • threeML.io.serialization module
    • threeML.io.suppress_stdout module
      • suppress_stdout()
    • threeML.io.table module
      • NumericMatrix
      • Table
    • threeML.io.uncertainty_formatter module
      • get_uncertainty_tokens()
      • interval_to_errors()
      • uncertainty_formatter()
  • Module contents
• threeML.minimizer package
  • Submodules
    • threeML.minimizer.ROOT_minimizer module
    • threeML.minimizer.grid_minimizer module
      • AllFitFailed
      • GridMinimizer
        • GridMinimizer.add_callback()
        • GridMinimizer.add_parameter_to_grid()
        • GridMinimizer.remove_callbacks()
        • GridMinimizer.valid_setup_keys
    • threeML.minimizer.minimization module
      • BetterMinimumDuringProfiling
      • CannotComputeCovariance
      • CannotComputeErrors
      • FitFailed
      • FunctionWrapper
        • FunctionWrapper.set_fixed_values()
      • GlobalMinimization
        • GlobalMinimization.get_instance()
        • GlobalMinimization.get_second_minimization_instance()
        • GlobalMinimization.setup()
      • GlobalMinimizer
      • LocalMinimization
        • LocalMinimization.get_instance()
      • LocalMinimizer
      • Minimizer
        • Minimizer.Npar
        • Minimizer.algorithm_name
        • Minimizer.contours()
        • Minimizer.correlation_matrix
        • Minimizer.covariance_matrix
        • Minimizer.fit_results
        • Minimizer.function
        • Minimizer.get_errors()
        • Minimizer.minimize()
        • Minimizer.parameters
        • Minimizer.restore_best_fit()
        • Minimizer.set_algorithm()
        • Minimizer.verbosity
      • MinimizerNotAvailable
      • ParameterIsNotFree
      • ProfileLikelihood
        • ProfileLikelihood.step()
      • get_minimizer()
    • threeML.minimizer.minuit_minimizer module
      • MINOSFailed
      • MinuitMinimizer
        • MinuitMinimizer.get_errors()
        • MinuitMinimizer.restore_best_fit()
        • MinuitMinimizer.valid_setup_keys
      • add_method()
    • threeML.minimizer.multinest_minimizer module
    • threeML.minimizer.pagmo_minimizer module
    • threeML.minimizer.scipy_minimizer module
      • ScipyMinimizer
        • ScipyMinimizer.set_algorithm()
        • ScipyMinimizer.valid_setup_keys
    • threeML.minimizer.tutorial_material module
      • Complex
        • Complex.evaluate()
        • Complex.info()
      • CustomLikelihoodLike
        • CustomLikelihoodLike.get_log_like()
        • CustomLikelihoodLike.get_number_of_data_points()
        • CustomLikelihoodLike.inner_fit()
        • CustomLikelihoodLike.set_minus_log_likelihood()
        • CustomLikelihoodLike.set_model()
      • JointLikelihoodWrap
        • JointLikelihoodWrap.fit()
      • Simple
        • Simple.evaluate()
        • Simple.info()
        • Simple.jump_tracking()
        • Simple.reset_tracking()
        • Simple.start_tracking()
        • Simple.stop_tracking()
      • get_callback()
      • get_joint_likelihood_object_complex_likelihood()
      • get_joint_likelihood_object_simple_likelihood()
      • plot_likelihood_function()
      • plot_minimizer_path()
  • Module contents
• threeML.parallel package
  • Submodules
    • threeML.parallel.parallel_client module
      • NoParallelEnvironment
      • ParallelClient
        • ParallelClient.execute_with_progress_bar()
        • ParallelClient.get_number_of_engines()
      • get_base_prefix_compat()
      • in_virtualenv()
      • is_parallel_computation_active()
      • parallel_computation()
  • Module contents
• threeML.plugins package
  • Subpackages
    • threeML.plugins.experimental package
      • Submodules
        • threeML.plugins.experimental.CastroLike module
          • CastroLike
            • CastroLike.active_containers
            • CastroLike.get_log_like()
            • CastroLike.inner_fit()
            • CastroLike.plot()
            • CastroLike.set_active_measurements()
            • CastroLike.set_model()
            • CastroLike.start
            • CastroLike.stop
          • IntervalContainer
            • IntervalContainer.get_measurement()
            • IntervalContainer.n_integration_points
            • IntervalContainer.start
            • IntervalContainer.stop
        • threeML.plugins.experimental.SherpaLike module
        • threeML.plugins.experimental.VERITASLike module
      • Module contents
  • Submodules
    • threeML.plugins.DispersionSpectrumLike module
      • DispersionSpectrumLike
        • DispersionSpectrumLike.display_rsp()
        • DispersionSpectrumLike.from_function()
        • DispersionSpectrumLike.get_pha_files()
        • DispersionSpectrumLike.get_simulated_dataset()
        • DispersionSpectrumLike.response
        • DispersionSpectrumLike.set_model()
        • DispersionSpectrumLike.set_model_integrate_method()
        • DispersionSpectrumLike.write_pha()
    • threeML.plugins.FermiLATLike module
    • threeML.plugins.FermipyLike module
      • FermipyLike
        • FermipyLike.configuration
        • FermipyLike.display_model()
        • FermipyLike.get_basic_config()
        • FermipyLike.get_log_like()
        • FermipyLike.get_number_of_data_points()
        • FermipyLike.get_observation_duration()
        • FermipyLike.gta
        • FermipyLike.inner_fit()
        • FermipyLike.set_inner_minimization()
        • FermipyLike.set_model()
        • FermipyLike.set_nuisance_parameter_value()
    • threeML.plugins.HAWCLike module
    • threeML.plugins.OGIPLike module
      • OGIPLike
        • OGIPLike.from_general_dispersion_spectrum()
        • OGIPLike.get_simulated_dataset()
        • OGIPLike.grouping
        • OGIPLike.write_pha()
    • threeML.plugins.PhotometryLike module
      • BandNode
        • BandNode.off
        • BandNode.on
      • PhotometryLike
        • PhotometryLike.display_filters()
        • PhotometryLike.from_file()
        • PhotometryLike.from_kwargs()
        • PhotometryLike.magnitude_errors
        • PhotometryLike.magnitudes
        • PhotometryLike.observation
        • PhotometryLike.plot()
        • PhotometryLike.set_model()
    • threeML.plugins.SpectrumLike module
      • SpectrumLike
        • SpectrumLike.area_ratio
        • SpectrumLike.assign_to_source()
        • SpectrumLike.background_count_errors
        • SpectrumLike.background_counts
        • SpectrumLike.background_exposure
        • SpectrumLike.background_integrate_method
        • SpectrumLike.background_noise_model
        • SpectrumLike.background_plugin
        • SpectrumLike.background_scale_factor
        • SpectrumLike.background_spectrum
        • SpectrumLike.current_background_count_errors
        • SpectrumLike.current_background_counts
        • SpectrumLike.current_observed_count_errors
        • SpectrumLike.current_observed_counts
        • SpectrumLike.current_scaled_background_counts
        • SpectrumLike.display()
        • SpectrumLike.display_model()
        • SpectrumLike.energy_boundaries
        • SpectrumLike.expected_model_rate
        • SpectrumLike.exposure
        • SpectrumLike.exposure_ratio
        • SpectrumLike.fix_effective_area_correction()
        • SpectrumLike.from_background()
        • SpectrumLike.from_function()
        • SpectrumLike.get_background_model()
        • SpectrumLike.get_log_like()
        • SpectrumLike.get_model()
        • SpectrumLike.get_number_of_data_points()
        • SpectrumLike.get_pha_files()
        • SpectrumLike.get_simulated_dataset()
        • SpectrumLike.inner_fit()
        • SpectrumLike.likelihood_model
        • SpectrumLike.mask
        • SpectrumLike.model_integrate_method
        • SpectrumLike.n_data_points
        • SpectrumLike.observation_noise_model
        • SpectrumLike.observed_count_errors
        • SpectrumLike.observed_counts
        • SpectrumLike.observed_spectrum
        • SpectrumLike.quality
        • SpectrumLike.rebin_on_background()
        • SpectrumLike.rebin_on_source()
        • SpectrumLike.remove_rebinning()
        • SpectrumLike.scale_factor
        • SpectrumLike.set_active_measurements()
        • SpectrumLike.set_background_integrate_method()
        • SpectrumLike.set_model()
        • SpectrumLike.set_model_integrate_method()
        • SpectrumLike.significance
        • SpectrumLike.significance_per_channel
        • SpectrumLike.simulated_parameters
        • SpectrumLike.source_rate
        • SpectrumLike.source_rate_error
        • SpectrumLike.tstart
        • SpectrumLike.tstop
        • SpectrumLike.use_effective_area_correction()
        • SpectrumLike.view_count_spectrum()
        • SpectrumLike.write_pha()
    • threeML.plugins.SwiftXRTLike module
      • SwiftXRTLike
    • threeML.plugins.UnbinnedPoissonLike module
      • EventObservation
        • EventObservation.events
        • EventObservation.exposure
        • EventObservation.for_timeseries
        • EventObservation.is_multi_interval
        • EventObservation.n_events
        • EventObservation.start
        • EventObservation.stop
      • UnbinnedPoissonLike
        • UnbinnedPoissonLike.get_log_like()
        • UnbinnedPoissonLike.get_number_of_data_points()
        • UnbinnedPoissonLike.inner_fit()
        • UnbinnedPoissonLike.set_model()
    • threeML.plugins.UnresolvedExtendedXYLike module
      • UnresolvedExtendedXYLike
        • UnresolvedExtendedXYLike.assign_to_source()
        • UnresolvedExtendedXYLike.plot()
        • UnresolvedExtendedXYLike.set_model()
    • threeML.plugins.XYLike module
      • XYLike
        • XYLike.assign_to_source()
        • XYLike.fit()
        • XYLike.from_dataframe()
        • XYLike.from_function()
        • XYLike.from_text_file()
        • XYLike.get_log_like()
        • XYLike.get_model()
        • XYLike.get_number_of_data_points()
        • XYLike.get_simulated_dataset()
        • XYLike.goodness_of_fit()
        • XYLike.has_errors
        • XYLike.inner_fit()
        • XYLike.is_poisson
        • XYLike.likelihood_model
        • XYLike.plot()
        • XYLike.set_model()
        • XYLike.to_csv()
        • XYLike.to_dataframe()
        • XYLike.to_txt()
        • XYLike.x
        • XYLike.y
        • XYLike.yerr
  • Module contents
• threeML.test package
  • Submodules
    • threeML.test.conftest module
    • threeML.test.generate_pha module
    • threeML.test.test_AAA_against_xspec module
    • threeML.test.test_FermiLATLike module
    • threeML.test.test_FermipyLike module
    • threeML.test.test_UnresolvedExtendedXYLike module
      • get_signal()
      • test_UnresolvedExtendedXYLike_assign_to_source()
      • test_UnresolvedExtendedXYLike_chi2()
      • test_UnresolvedExtendedXYLike_dataframe()
      • test_UnresolvedExtendedXYLike_poisson()
      • test_UnresolvedExtendedXYLike_txt()
      • test_UnresolvedExtendedxy_plot()
    • threeML.test.test_XYLike module
      • get_signal()
      • test_XYLike_assign_to_source()
      • test_XYLike_chi2()
      • test_XYLike_dataframe()
      • test_XYLike_poisson()
      • test_XYLike_txt()
      • test_xy_plot()
    • threeML.test.test_analysis_results module
      • test_analysis_results_input_output()
      • test_analysis_results_input_output_hdf()
      • test_analysis_set_input_output()
      • test_analysis_set_input_output_hdf()
      • test_bayesian_input_output()
      • test_conversion_fits2hdf()
      • test_corner_plotting()
      • test_error_propagation()
      • test_one_free_parameter_input_output()
    • threeML.test.test_basic module
    • threeML.test.test_bayesian module
    • threeML.test.test_catalogs module
    • threeML.test.test_configuration module
    • threeML.test.test_download_GBM_data module
    • threeML.test.test_download_LAT_data module
    • threeML.test.test_event_list module
    • threeML.test.test_file_utils module
      • test_directory_check()
      • test_file_check()
      • test_sanatize()
    • threeML.test.test_fits_file module
    • threeML.test.test_fitted_point_sources module
    • threeML.test.test_generic module
      • test_poisson_classes()
      • test_step_generator_setup()
    • threeML.test.test_get_package_data module
      • test_get_package_data()
    • threeML.test.test_goodness_of_fit module
      • test_goodness_of_fit()
    • threeML.test.test_hawc module
    • threeML.test.test_histogram module
    • threeML.test.test_joint_likelihood_set module
    • threeML.test.test_minimizers module
    • threeML.test.test_model_from_catalog module
    • threeML.test.test_ogip module
    • threeML.test.test_photometry_utils module
    • threeML.test.test_plotting module
    • threeML.test.test_plugin_loading module
    • threeML.test.test_power_of_two_utils module
      • test_is_power_of_two()
      • test_next_power_of_two()
    • threeML.test.test_response module
    • threeML.test.test_spectrum_class module
    • threeML.test.test_spectrumlike module
    • threeML.test.test_time_energy_fit module
      • test_energy_time_fit()
    • threeML.test.test_time_interval module
    • threeML.test.test_time_series module
    • threeML.test.test_unbinned_poisson_like module
    • threeML.test.test_verbosity module
      • test_all_toggles()
      • test_logging_toggles()
      • test_progress_bars()
  • Module contents
• threeML.utils package
  • Subpackages
    • threeML.utils.OGIP package
      • Submodules
        • threeML.utils.OGIP.pha module
          • PHAII
            • PHAII.from_fits_file()
            • PHAII.from_time_series()
            • PHAII.instrument
          • PHAWrite
            • PHAWrite.write()
          • SPECTRUM
        • threeML.utils.OGIP.response module
          • EBOUNDS
          • GapInCoverageIntervals
          • InstrumentResponse
            • InstrumentResponse.arf_filename
            • InstrumentResponse.clone()
            • InstrumentResponse.convolve()
            • InstrumentResponse.coverage_interval
            • InstrumentResponse.create_dummy_response()
            • InstrumentResponse.ebounds
            • InstrumentResponse.energy_to_channel()
            • InstrumentResponse.first_channel
            • InstrumentResponse.matrix
            • InstrumentResponse.monte_carlo_energies
            • InstrumentResponse.plot_matrix()
            • InstrumentResponse.replace_matrix()
            • InstrumentResponse.rsp_filename
            • InstrumentResponse.set_function()
            • InstrumentResponse.to_fits()
          • InstrumentResponseSet
            • InstrumentResponseSet.ebounds
            • InstrumentResponseSet.from_rsp2_file()
            • InstrumentResponseSet.monte_carlo_energies
            • InstrumentResponseSet.reference_time
            • InstrumentResponseSet.weight_by_counts()
            • InstrumentResponseSet.weight_by_exposure()
          • IntervalOfInterestNotCovered
          • MATRIX
          • NoCoverageIntervals
          • NoMatrixForInterval
          • NonContiguousCoverageIntervals
          • OGIPResponse
            • OGIPResponse.arf
            • OGIPResponse.arf_filename
            • OGIPResponse.first_channel
            • OGIPResponse.rmf
            • OGIPResponse.rsp_filename
          • RMF
          • RSP
          • SPECRESP_MATRIX
      • Module contents
    • threeML.utils.data_builders package
      • Subpackages
        • threeML.utils.data_builders.fermi package
          • Submodules
            • threeML.utils.data_builders.fermi.gbm_data module
              • GBMCdata
                • GBMCdata.det_name
                • GBMCdata.energies
                • GBMCdata.mission
                • GBMCdata.n_channels
                • GBMCdata.trigger_time
                • GBMCdata.tstart
                • GBMCdata.tstop
              • GBMTTEFile
                • GBMTTEFile.arrival_times
                • GBMTTEFile.deadtime
                • GBMTTEFile.det_name
                • GBMTTEFile.energies
                • GBMTTEFile.mission
                • GBMTTEFile.n_channels
                • GBMTTEFile.trigger_time
                • GBMTTEFile.tstart
                • GBMTTEFile.tstop
            • threeML.utils.data_builders.fermi.lat_data module
              • LLEFile
                • LLEFile.arrival_times
                • LLEFile.energies
                • LLEFile.energy_edges
                • LLEFile.instrument
                • LLEFile.is_in_gti()
                • LLEFile.livetime
                • LLEFile.livetime_start
                • LLEFile.livetime_stop
                • LLEFile.mission
                • LLEFile.n_channels
                • LLEFile.trigger_time
                • LLEFile.tstart
                • LLEFile.tstop
            • threeML.utils.data_builders.fermi.lat_transient_builder module
              • LATLikelihoodParameter
                • LATLikelihoodParameter.display()
                • LATLikelihoodParameter.get_disp_value()
                • LATLikelihoodParameter.is_set
                • LATLikelihoodParameter.name
                • LATLikelihoodParameter.value
              • LATObservation
                • LATObservation.event_file
                • LATObservation.exposure_map
                • LATObservation.ft2_file
                • LATObservation.liketype
                • LATObservation.livetime_cube
                • LATObservation.to_LATLike()
                • LATObservation.triggername
                • LATObservation.tstart
                • LATObservation.tstop
              • TransientLATDataBuilder
                • TransientLATDataBuilder.display()
                • TransientLATDataBuilder.from_saved_configuration()
                • TransientLATDataBuilder.run()
                • TransientLATDataBuilder.save_configuration()
                • TransientLATDataBuilder.to_LATLike()
            • threeML.utils.data_builders.fermi.test module
          • Module contents
      • Submodules
        • threeML.utils.data_builders.time_series_builder module
          • BinningMethodError
          • TimeSeriesBuilder
            • TimeSeriesBuilder.background_counts_per_interval
            • TimeSeriesBuilder.background_poly_order
            • TimeSeriesBuilder.bins
            • TimeSeriesBuilder.create_time_bins()
            • TimeSeriesBuilder.fit_polynomial()
            • TimeSeriesBuilder.from_gbm_cspec_or_ctime()
            • TimeSeriesBuilder.from_gbm_tte()
            • TimeSeriesBuilder.from_konus_pha()
            • TimeSeriesBuilder.from_lat_lle()
            • TimeSeriesBuilder.from_phaII()
            • TimeSeriesBuilder.from_polar_polarization()
            • TimeSeriesBuilder.from_polar_spectrum()
            • TimeSeriesBuilder.get_background_parameters()
            • TimeSeriesBuilder.read_bins()
            • TimeSeriesBuilder.save_background()
            • TimeSeriesBuilder.set_active_time_interval()
            • TimeSeriesBuilder.set_background_interval()
            • TimeSeriesBuilder.significance_per_interval
            • TimeSeriesBuilder.time_series
            • TimeSeriesBuilder.to_polarlike()
            • TimeSeriesBuilder.to_spectrumlike()
            • TimeSeriesBuilder.total_counts_per_interval
            • TimeSeriesBuilder.tstart
            • TimeSeriesBuilder.tstop
            • TimeSeriesBuilder.view_lightcurve()
            • TimeSeriesBuilder.write_pha_from_binner()
      • Module contents
        • TimeSeriesBuilder
          • TimeSeriesBuilder.background_counts_per_interval
          • TimeSeriesBuilder.background_poly_order
          • TimeSeriesBuilder.bins
          • TimeSeriesBuilder.create_time_bins()
          • TimeSeriesBuilder.fit_polynomial()
          • TimeSeriesBuilder.from_gbm_cspec_or_ctime()
          • TimeSeriesBuilder.from_gbm_tte()
          • TimeSeriesBuilder.from_konus_pha()
          • TimeSeriesBuilder.from_lat_lle()
          • TimeSeriesBuilder.from_phaII()
          • TimeSeriesBuilder.from_polar_polarization()
          • TimeSeriesBuilder.from_polar_spectrum()
          • TimeSeriesBuilder.get_background_parameters()
          • TimeSeriesBuilder.read_bins()
          • TimeSeriesBuilder.save_background()
          • TimeSeriesBuilder.set_active_time_interval()
          • TimeSeriesBuilder.set_background_interval()
          • TimeSeriesBuilder.significance_per_interval
          • TimeSeriesBuilder.time_series
          • TimeSeriesBuilder.to_polarlike()
          • TimeSeriesBuilder.to_spectrumlike()
          • TimeSeriesBuilder.total_counts_per_interval
          • TimeSeriesBuilder.tstart
          • TimeSeriesBuilder.tstop
          • TimeSeriesBuilder.view_lightcurve()
          • TimeSeriesBuilder.write_pha_from_binner()
        • TransientLATDataBuilder
          • TransientLATDataBuilder.display()
          • TransientLATDataBuilder.from_saved_configuration()
          • TransientLATDataBuilder.run()
          • TransientLATDataBuilder.save_configuration()
          • TransientLATDataBuilder.to_LATLike()
    • threeML.utils.data_download package
      • Subpackages
        • threeML.utils.data_download.Fermi_GBM package
          • Submodules
            • threeML.utils.data_download.Fermi_GBM.download_GBM_data module
              • cleanup_downloaded_GBM_data()
              • download_GBM_daily_data()
              • download_GBM_trigger_data()
          • Module contents
        • threeML.utils.data_download.Fermi_LAT package
          • Submodules
            • threeML.utils.data_download.Fermi_LAT.download_LAT_data module
              • DivParser
                • DivParser.handle_data()
                • DivParser.handle_endtag()
                • DivParser.handle_starttag()
              • LAT_dataset
                • LAT_dataset.extract_events()
                • LAT_dataset.make_LAT_dataset()
              • download_LAT_data()
              • merge_LAT_data()
            • threeML.utils.data_download.Fermi_LAT.download_LLE_data module
              • cleanup_downloaded_LLE_data()
              • download_LLE_trigger_data()
          • Module contents
      • Module contents
    • threeML.utils.fitted_objects package
      • Submodules
        • threeML.utils.fitted_objects.fitted_point_sources module
          • DifferentialFluxConversion
          • FittedPointSourceSpectralHandler
            • FittedPointSourceSpectralHandler.components
            • FittedPointSourceSpectralHandler.is_dimensionless
          • FluxConversion
            • FluxConversion.conversion_factor
            • FluxConversion.is_dimensionless
            • FluxConversion.model
          • IntegralFluxConversion
          • InvalidUnitError
          • NotCompositeModelError
          • trap_integral()
        • threeML.utils.fitted_objects.fitted_source_handler module
          • GenericFittedSourceHandler
            • GenericFittedSourceHandler.average
            • GenericFittedSourceHandler.lower_error
            • GenericFittedSourceHandler.median
            • GenericFittedSourceHandler.samples
            • GenericFittedSourceHandler.update_tag()
            • GenericFittedSourceHandler.upper_error
            • GenericFittedSourceHandler.values
          • VariatesContainer
            • VariatesContainer.average
            • VariatesContainer.lower_error
            • VariatesContainer.median
            • VariatesContainer.samples
            • VariatesContainer.upper_error
            • VariatesContainer.values
          • transform()
      • Module contents
    • threeML.utils.photometry package
      • Submodules
        • threeML.utils.photometry.filter_library module
          • FilterLibrary
            • FilterLibrary.instruments
          • ObservatoryNode
          • get_photometric_filter_library()
          • get_speclite_filter_library()
          • get_speclite_filter_path()
        • threeML.utils.photometry.filter_set module
          • FilterSet
            • FilterSet.ab_magnitudes()
            • FilterSet.effective_wavelength
            • FilterSet.filter_names
            • FilterSet.n_bands
            • FilterSet.native_filter_names
            • FilterSet.plot_filters()
            • FilterSet.set_model()
            • FilterSet.speclite_filters
            • FilterSet.wavelength_bounds
            • FilterSet.waveunits
          • NotASpeclikeFilter
        • threeML.utils.photometry.photometric_observation module
          • PhotometericObservation
            • PhotometericObservation.from_dict()
            • PhotometericObservation.from_hdf5()
            • PhotometericObservation.from_kwargs()
            • PhotometericObservation.get_mask_from_filter_sequence()
            • PhotometericObservation.is_compatible_with_filter_set()
            • PhotometericObservation.items()
            • PhotometericObservation.keys()
            • PhotometericObservation.to_hdf5()
      • Module contents
    • threeML.utils.polarization package
      • Submodules
        • threeML.utils.polarization.binned_polarization module
          • BinnedModulationCurve
            • BinnedModulationCurve.INTERVAL_TYPE
            • BinnedModulationCurve.abounds
            • BinnedModulationCurve.clone()
            • BinnedModulationCurve.from_time_series()
          • ScatteringChannel
            • ScatteringChannel.channel_width
          • ScatteringChannelSet
            • ScatteringChannelSet.INTERVAL_TYPE
            • ScatteringChannelSet.channels_widths
            • ScatteringChannelSet.from_instrument_response()
      • Module contents
    • threeML.utils.spectrum package
      • Submodules
        • threeML.utils.spectrum.binned_spectrum module
          • BinnedSpectrum
            • BinnedSpectrum.INTERVAL_TYPE
            • BinnedSpectrum.add_inverse_variance_weighted()
            • BinnedSpectrum.clone()
            • BinnedSpectrum.count_errors
            • BinnedSpectrum.counts
            • BinnedSpectrum.exposure
            • BinnedSpectrum.from_pandas()
            • BinnedSpectrum.from_time_series()
            • BinnedSpectrum.instrument
            • BinnedSpectrum.is_poisson
            • BinnedSpectrum.mission
            • BinnedSpectrum.n_channel
            • BinnedSpectrum.n_channels
            • BinnedSpectrum.quality
            • BinnedSpectrum.rate_errors
            • BinnedSpectrum.rates
            • BinnedSpectrum.scale_factor
            • BinnedSpectrum.sys_errors
            • BinnedSpectrum.to_pandas()
            • BinnedSpectrum.total_count
            • BinnedSpectrum.total_count_error
            • BinnedSpectrum.total_rate
            • BinnedSpectrum.total_rate_error
            • BinnedSpectrum.tstart
            • BinnedSpectrum.tstop
          • BinnedSpectrumWithDispersion
            • BinnedSpectrumWithDispersion.clone()
            • BinnedSpectrumWithDispersion.from_time_series()
            • BinnedSpectrumWithDispersion.response
          • Channel
            • Channel.channel_width
          • ChannelSet
            • ChannelSet.INTERVAL_TYPE
            • ChannelSet.channels_widths
            • ChannelSet.from_instrument_response()
          • Quality
            • Quality.bad
            • Quality.create_all_good()
            • Quality.from_ogip()
            • Quality.get_slice()
            • Quality.good
            • Quality.n_elements
            • Quality.to_ogip()
            • Quality.warn
        • threeML.utils.spectrum.binned_spectrum_set module
          • BinnedSpectrumSet
            • BinnedSpectrumSet.count_errors_per_bin
            • BinnedSpectrumSet.counts_per_bin
            • BinnedSpectrumSet.exposure_per_bin
            • BinnedSpectrumSet.n_channels
            • BinnedSpectrumSet.quality_per_bin
            • BinnedSpectrumSet.rate_errors_per_bin
            • BinnedSpectrumSet.rates_per_bin
            • BinnedSpectrumSet.reference_time
            • BinnedSpectrumSet.sort()
            • BinnedSpectrumSet.sys_errors_per_bin
            • BinnedSpectrumSet.time_intervals
            • BinnedSpectrumSet.time_to_index()
        • threeML.utils.spectrum.pha_spectrum module
          • PHASpectrum
            • PHASpectrum.ancillary_file
            • PHASpectrum.background_file
            • PHASpectrum.clone()
            • PHASpectrum.filename
            • PHASpectrum.from_dispersion_spectrum()
            • PHASpectrum.grouping
            • PHASpectrum.response_file
            • PHASpectrum.scale_factor
            • PHASpectrum.set_ogip_grouping()
            • PHASpectrum.to_binned_spectrum()
          • PHASpectrumSet
            • PHASpectrumSet.ancillary_file
            • PHASpectrumSet.background_file
            • PHASpectrumSet.clone()
            • PHASpectrumSet.filename
            • PHASpectrumSet.from_dispersion_spectrum()
            • PHASpectrumSet.grouping
            • PHASpectrumSet.response_file
            • PHASpectrumSet.scale_factor
            • PHASpectrumSet.set_ogip_grouping()
        • threeML.utils.spectrum.share_spectrum module
          • ShareSpectrum
            • ShareSpectrum.base_plugin_key
            • ShareSpectrum.data_ebin_connect
            • ShareSpectrum.data_ein_edges
        • threeML.utils.spectrum.spectrum_likelihood module
          • BinnedStatistic
            • BinnedStatistic.get_current_value()
            • BinnedStatistic.get_randomized_background_counts()
            • BinnedStatistic.get_randomized_background_errors()
            • BinnedStatistic.get_randomized_source_counts()
            • BinnedStatistic.get_randomized_source_errors()
          • GaussianObservedGaussianBackgroundStatistic
          • GaussianObservedStatistic
            • GaussianObservedStatistic.get_current_value()
            • GaussianObservedStatistic.get_randomized_source_counts()
            • GaussianObservedStatistic.get_randomized_source_errors()
          • NotAvailableStatistic
          • PoissonObservedGaussianBackgroundStatistic
            • PoissonObservedGaussianBackgroundStatistic.get_current_value()
            • PoissonObservedGaussianBackgroundStatistic.get_randomized_background_counts()
            • PoissonObservedGaussianBackgroundStatistic.get_randomized_background_errors()
            • PoissonObservedGaussianBackgroundStatistic.get_randomized_source_counts()
          • PoissonObservedIdealBackgroundStatistic
            • PoissonObservedIdealBackgroundStatistic.get_current_value()
            • PoissonObservedIdealBackgroundStatistic.get_randomized_background_counts()
            • PoissonObservedIdealBackgroundStatistic.get_randomized_source_counts()
          • PoissonObservedModeledBackgroundStatistic
            • PoissonObservedModeledBackgroundStatistic.get_current_value()
            • PoissonObservedModeledBackgroundStatistic.get_randomized_background_errors()
            • PoissonObservedModeledBackgroundStatistic.get_randomized_source_counts()
            • PoissonObservedModeledBackgroundStatistic.synthetic_background_plugin
          • PoissonObservedNoBackgroundStatistic
            • PoissonObservedNoBackgroundStatistic.get_current_value()
            • PoissonObservedNoBackgroundStatistic.get_randomized_source_counts()
          • PoissonObservedPoissonBackgroundStatistic
            • PoissonObservedPoissonBackgroundStatistic.get_current_value()
            • PoissonObservedPoissonBackgroundStatistic.get_randomized_background_counts()
            • PoissonObservedPoissonBackgroundStatistic.get_randomized_source_counts()
      • Module contents
    • threeML.utils.statistics package
      • Submodules
        • threeML.utils.statistics.gammaln module
        • threeML.utils.statistics.likelihood_functions module
          • half_chi2()
          • poisson_log_likelihood_ideal_bkg()
          • poisson_observed_gaussian_background()
          • poisson_observed_poisson_background()
          • poisson_observed_poisson_background_xs()
          • regularized_log()
          • xlogy()
          • xlogy_one()
        • threeML.utils.statistics.stats_tools module
          • PoissonResiduals
            • PoissonResiduals.significance_one_side()
          • Significance
            • Significance.Noff
            • Significance.Non
            • Significance.alpha
            • Significance.expected
            • Significance.gaussian_background()
            • Significance.known_background()
            • Significance.li_and_ma()
            • Significance.li_and_ma_equivalent_for_gaussian_background()
            • Significance.net
          • aic()
          • bic()
          • dic()
          • sqrt_sum_of_squares()
          • waic()
      • Module contents
    • threeML.utils.time_series package
      • Submodules
        • threeML.utils.time_series.binned_spectrum_series module
          • BinnedSpectrumSeries
            • BinnedSpectrumSeries.binned_spectrum_set
            • BinnedSpectrumSeries.bins
            • BinnedSpectrumSeries.count_per_channel_over_interval()
            • BinnedSpectrumSeries.counts_over_interval()
            • BinnedSpectrumSeries.dead_time_over_interval()
            • BinnedSpectrumSeries.exposure_over_interval()
            • BinnedSpectrumSeries.set_active_time_intervals()
            • BinnedSpectrumSeries.view_lightcurve()
        • threeML.utils.time_series.event_list module
          • EventList
            • EventList.arrival_times
            • EventList.bin_by_bayesian_blocks()
            • EventList.bin_by_constant()
            • EventList.bin_by_custom()
            • EventList.bin_by_significance()
            • EventList.bins
            • EventList.count_per_channel_over_interval()
            • EventList.counts_over_interval()
            • EventList.measurement
            • EventList.n_events
            • EventList.set_active_time_intervals()
            • EventList.view_lightcurve()
          • EventListWithDeadTime
            • EventListWithDeadTime.exposure_over_interval()
          • EventListWithDeadTimeFraction
            • EventListWithDeadTimeFraction.exposure_over_interval()
          • EventListWithLiveTime
            • EventListWithLiveTime.exposure_over_interval()
          • OverLappingIntervals
          • ReducingNumberOfSteps
          • ReducingNumberOfThreads
          • ceildiv()
        • threeML.utils.time_series.polynomial module
          • Polynomial
            • Polynomial.coefficients
            • Polynomial.covariance_matrix
            • Polynomial.degree
            • Polynomial.error
            • Polynomial.from_previous_fit()
            • Polynomial.integral()
            • Polynomial.integral_error()
            • Polynomial.set_covariace_matrix()
          • polyfit()
          • unbinned_polyfit()
        • threeML.utils.time_series.time_series module
          • OverLappingIntervals
          • ReducingNumberOfSteps
          • ReducingNumberOfThreads
          • TimeSeries
            • TimeSeries.bins
            • TimeSeries.bkg_intervals
            • TimeSeries.count_per_channel_over_interval()
            • TimeSeries.counts_over_interval()
            • TimeSeries.exposure_over_interval()
            • TimeSeries.fit_polynomial()
            • TimeSeries.get_information_dict()
            • TimeSeries.get_poly_info()
            • TimeSeries.get_total_poly_count()
            • TimeSeries.get_total_poly_error()
            • TimeSeries.n_channels
            • TimeSeries.poly_fit_exists
            • TimeSeries.poly_order
            • TimeSeries.polynomials
            • TimeSeries.restore_fit()
            • TimeSeries.save_background()
            • TimeSeries.set_active_time_intervals()
            • TimeSeries.set_background_interval()
            • TimeSeries.set_polynomial_fit_interval()
            • TimeSeries.time_intervals
            • TimeSeries.view_lightcurve()
          • ceildiv()
      • Module contents
  • Submodules
    • threeML.utils.bayesian_blocks module
      • bayesian_blocks()
      • bayesian_blocks_not_unique()
    • threeML.utils.binner module
      • NotEnoughData
      • Rebinner
        • Rebinner.get_new_start_and_stop()
        • Rebinner.grouping
        • Rebinner.n_bins
        • Rebinner.rebin()
        • Rebinner.rebin_errors()
      • TemporalBinner
        • TemporalBinner.bin_by_bayesian_blocks()
        • TemporalBinner.bin_by_constant()
        • TemporalBinner.bin_by_custom()
        • TemporalBinner.bin_by_significance()
    • threeML.utils.cartesian module
    • threeML.utils.differentiation module
      • CannotComputeHessian
      • ParameterOnBoundary
      • get_hessian()
      • get_jacobian()
    • threeML.utils.fermi_relative_mission_time module
      • compute_fermi_relative_mission_times()
    • threeML.utils.histogram module
      • Histogram
        • Histogram.INTERVAL_TYPE
        • Histogram.bin_entries()
        • Histogram.contents
        • Histogram.display()
        • Histogram.errors
        • Histogram.from_entries()
        • Histogram.from_numpy_histogram()
        • Histogram.is_poisson
        • Histogram.sys_errors
        • Histogram.total
        • Histogram.total_error
    • threeML.utils.interval module
      • Interval
        • Interval.intersect()
        • Interval.merge()
        • Interval.mid_point
        • Interval.new()
        • Interval.overlaps_with()
        • Interval.start
        • Interval.stop
        • Interval.to_string()
      • IntervalSet
        • IntervalSet.INTERVAL_TYPE
        • IntervalSet.absolute_start
        • IntervalSet.absolute_stop
        • IntervalSet.argsort()
        • IntervalSet.bin_stack
        • IntervalSet.containing_bin()
        • IntervalSet.containing_interval()
        • IntervalSet.edges
        • IntervalSet.extend()
        • IntervalSet.from_list_of_edges()
        • IntervalSet.from_starts_and_stops()
        • IntervalSet.from_strings()
        • IntervalSet.is_contiguous()
        • IntervalSet.is_sorted
        • IntervalSet.merge_intersecting_intervals()
        • IntervalSet.mid_points
        • IntervalSet.new()
        • IntervalSet.new_interval()
        • IntervalSet.pop()
        • IntervalSet.sort()
        • IntervalSet.starts
        • IntervalSet.stops
        • IntervalSet.to_string()
        • IntervalSet.widths
      • IntervalsDoNotOverlap
      • IntervalsNotContiguous
    • threeML.utils.numba_utils module
      • Vector()
      • VectorComplex128
      • VectorComplex64
      • VectorFloat32
      • VectorFloat64
      • VectorInt16
      • VectorInt32
      • VectorInt64
      • VectorInt8
      • VectorUint16
      • VectorUint32
      • VectorUint64
      • VectorUint8
      • nb_sum()
    • threeML.utils.power_of_two_utils module
      • is_power_of_2()
      • next_power_of_2()
    • threeML.utils.progress_bar module
      • tqdm()
      • trange()
    • threeML.utils.step_parameter_generator module
      • step_generator()
    • threeML.utils.string_utils module
      • dash_separated_string_to_tuple()
    • threeML.utils.time_interval module
      • TimeInterval
        • TimeInterval.duration
        • TimeInterval.half_time
        • TimeInterval.start_time
        • TimeInterval.stop_time
      • TimeIntervalSet
        • TimeIntervalSet.INTERVAL_TYPE
        • TimeIntervalSet.absolute_start_time
        • TimeIntervalSet.absolute_stop_time
        • TimeIntervalSet.display()
        • TimeIntervalSet.start_times
        • TimeIntervalSet.stop_times
        • TimeIntervalSet.time_edges
    • threeML.utils.unique_deterministic_tag module
      • get_unique_deterministic_tag()
  • Module contents

Submodules

• threeML.analysis_results module
  • ANALYSIS_RESULTS
  • ANALYSIS_RESULTS_HDF
  • AnalysisResultsFITS
  • AnalysisResultsSet
    • AnalysisResultsSet.characterize_sequence()
    • AnalysisResultsSet.set_bins()
    • AnalysisResultsSet.set_x()
    • AnalysisResultsSet.write_to()
  • BayesianResults
    • BayesianResults.comparison_corner_plot()
    • BayesianResults.convergence_plots()
    • BayesianResults.corner_plot()
    • BayesianResults.corner_plot_cc()
    • BayesianResults.display()
    • BayesianResults.freedman_diaconis_rule()
    • BayesianResults.get_correlation_matrix()
    • BayesianResults.get_highest_density_posterior_interval()
    • BayesianResults.get_median_fit_model()
    • BayesianResults.get_statistic_frame()
    • BayesianResults.log_probability
    • BayesianResults.plot_chains()
  • MLEResults
    • MLEResults.covariance_matrix
    • MLEResults.display()
    • MLEResults.get_correlation_matrix()
    • MLEResults.get_statistic_frame()
  • SEQUENCE
  • convert_fits_analysis_result_to_hdf()
  • load_analysis_results()
  • load_analysis_results_hdf()
• threeML.data_list module
  • DataList
    • DataList.insert()
    • DataList.keys()
    • DataList.values()
• threeML.plugin_prototype module
  • PluginPrototype
    • PluginPrototype.exclude_from_fit()
    • PluginPrototype.get_log_like()
    • PluginPrototype.get_name()
    • PluginPrototype.get_number_of_data_points()
    • PluginPrototype.inner_fit()
    • PluginPrototype.name
    • PluginPrototype.nuisance_parameters
    • PluginPrototype.set_model()
    • PluginPrototype.tag
    • PluginPrototype.update_nuisance_parameters()
• threeML.random_variates module
  • RandomVariates
    • RandomVariates.average
    • RandomVariates.equal_tail_interval()
    • RandomVariates.highest_posterior_density_interval()
    • RandomVariates.median
    • RandomVariates.samples
    • RandomVariates.std
    • RandomVariates.value
    • RandomVariates.var

Module contents

threeML.get_available_plugins()

Print a list of available plugins.

Returns:

threeML.is_module_importable(module_full_path)

threeML.is_plugin_available(plugin)

Test whether the plugin for the provided instrument is available.

Parameters:

plugin – the name of the plugin class

Returns:

True or False