MultiFilterASTs¶

class beast.observationmodel.noisemodel.trunchen.MultiFilterASTs(astfile, filters, *args, **kwargs)[source]

Implement a noise model where the ASTs are provided as a single table

Attributes

 astfile: str file containing the ASTs filters: sequence(str) sequence of filter names

Methods Summary

 __call__(sedgrid[, …]) Interpolate the results of the ASTs on the model grid process_asts(filters) Process all the AST results creating average biases and covariance matrices for each model SED. setFilters(filters) set the filters and update the vega reference for the conversions

Methods Documentation

__call__(sedgrid, generic_absflux_a_matrix=None, progress=True)[source]

Interpolate the results of the ASTs on the model grid

Parameters: sedgrid: beast.core.grid type model grid to interpolate AST results on progress: bool, optional if set, display a progress bar
process_asts(filters)[source]

Process all the AST results creating average biases and covariance matrices for each model SED. Also, prep for the interpolation by setting up the kd-tree

Parameters: filters : filter names for the AST data N/A.
setFilters(filters)[source]

set the filters and update the vega reference for the conversions

Parameters: filters: sequence list of filters using the internally normalized namings