The WDmodel package is designed to infer the SED of DA white dwarfs given spectra and photometry. This main module wraps all the other modules, and their classes and methods to implement the alogrithm.
Entry point for the
RuntimeError – If user attempts to resume the fit without having run it first
The package is structured into several modules and classes
This method implements our algorithm to infer the DA White Dwarf properties and construct the SED model given the data using the methods and classes listed above. Once the data is read, the model is configured, and the liklihood and posterior functions constructed, the fitter methods evaluate the model parameters given the data, using the samplers in
WDmodel.mossamplerprovides an overloaded
emcee.PTSamplerwith a more reliable auto-correlation estimate. Finally, the result is output along with various plots.