MultiFilterASTs

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

Bases: beast.observationmodel.noisemodel.noisemodel.NoiseModel

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

Methods Documentation

__call__(self, sedgrid, generic_absflux_a_matrix=None, progress=True)

Interpolate the results of the ASTs on the model grid

Parameters:

sedgrid: beast.core.grid type

model grid to interpolate AST results on

Returns:

progress: bool, optional

if set, display a progress bar

process_asts(self, filters)

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

Returns:

N/A.

setFilters(self, filters)

set the filters and update the vega reference for the conversions

Parameters:

filters: sequence

list of filters using the internally normalized namings