bayesn

Contents:

  • Overview
  • Installation
  • Running large BayeSN Jobs
  • Light curve fits within Python/Jupyter
  • Defining Filters
  • Output
  • Plotting BayeSN light curves and spectra
  • Built-in BayeSN Models
  • Reference / API
    • BayeSN
bayesn
  • Reference / API
  • View page source

Reference / API

  • BayeSN
    • bayesn.bayesn_model module
      • SEDmodel
        • SEDmodel.dust_model()
        • SEDmodel.dust_model_split_mag()
        • SEDmodel.dust_model_split_sed()
        • SEDmodel.dust_redshift_model()
        • SEDmodel.fit()
        • SEDmodel.fit_from_file()
        • SEDmodel.fit_model_globalRV()
        • SEDmodel.fit_model_globalRV_vi()
        • SEDmodel.fit_model_popRV()
        • SEDmodel.fit_model_popRV_vi()
        • SEDmodel.fit_model_uniformRV()
        • SEDmodel.get_flux_batch()
        • SEDmodel.get_flux_from_chains()
        • SEDmodel.get_mag_batch()
        • SEDmodel.get_spectra()
        • SEDmodel.initial_guess()
        • SEDmodel.parse_yaml_input()
        • SEDmodel.postprocess()
        • SEDmodel.process_dataset()
        • SEDmodel.run()
        • SEDmodel.sample_AV()
        • SEDmodel.sample_del_M()
        • SEDmodel.sample_epsilon()
        • SEDmodel.sample_theta()
        • SEDmodel.simulate_light_curve()
        • SEDmodel.simulate_spectrum()
        • SEDmodel.spline_coeffs_irr_step()
        • SEDmodel.train_model_globalRV()
        • SEDmodel.train_model_popRV()
    • bayesn.spline_utils module
      • cartesian_prod()
      • invKD_irr()
      • spline_coeffs_irr()
      • spline_coeffs_irr_step()
    • bayesn.bayesn_io module
      • write_snana_lcfile()
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