MultiFilterASTs

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

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__(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

Returns
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
filtersfilter names for the AST data
Returns
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