phot_class.fit_func_wraps

The fit_funcs module provides wrappers that combine the the various minimization routines from sncosmo. Importantly, the fitting functions in this module guarantee that arguments will not be mutated, which is not true for sncosmo in general (at least for sncosmo 2.0.0 and earlier).

Usage Example

>>> import sncosmo
>>> from matplotlib import pyplot as plt
>>>
>>> from phot_class import fit_func_wraps
>>>
>>> model = sncosmo.Model('salt2')
>>> data = sncosmo.load_example_data()
>>>
>>> # Here you can use the functions simple_fit, nest_fit, or mcmc_fit
>>> result, fitted_model = fit_func_wraps.simple_fit(
>>>     data, model,
>>>     ['z', 't0', 'x0', 'x1', 'c'],  # parameters of model to vary
>>>     bounds={'z':(0.3, 0.7)})  # bounds on parameters (if any)
>>>
>>> # Plot results
>>> fig = sncosmo.plot_lc(data, model=fitted_model, errors=result.errors)
>>> plt.show()

Function Documentation

phot_class.fit_func_wraps.mcmc_fit(data, model, vparam_names, **kwargs)[source]

Fit light curves Monte Carlo sampling

Parameters:
  • data (Table) – Table of photometric data
  • model (Model) – The model to fit
  • vparam_names (iterable) – Model parameters to vary
  • other parameters for sncosmo.mcmc_lc (Any) –
Returns:

  • A dictionary like object with fit results
  • A fitted Model instance
phot_class.fit_func_wraps.nest_fit(data, model, vparam_names, **kwargs)[source]

Fit light curves using nested sampling

Parameters:
  • data (Table) – Table of photometric data
  • model (Model) – The model to fit
  • vparam_names (iterable) – Model parameters to vary
  • other parameters for sncosmo.nest_lc (Any) –
Returns:

  • A dictionary like object with fit results
  • A fitted Model instance
phot_class.fit_func_wraps.simple_fit(data, model, vparam_names, **kwargs)[source]

Fit light curves using the basic fit_lc functionality in sncosmo

Parameters:
  • data (Table) – Table of photometric data
  • model (Model) – The model to fit
  • vparam_names (iterable) – Model parameters to vary
  • other parameters for sncosmo.fit_lc (Any) –
Returns:

  • A dictionary like object with fit results
  • A fitted Model instance