from .model_base import DataModel
__all__ = ['AmiLgModel']
[docs]class AmiLgModel(DataModel):
"""
A data model for AMI LG analysis results.
Parameters
----------
fit_image : numpy float32 array
Fitted image
resid_image : numpy float32 array
Residual image
closure_amp_table : numpy table
Closure amplitudes table
closure_phase_table : numpy table
Closure phases table
fringe_amp_table : numpy table
Fringe amplitudes table
fringe_phase_table : numpy table
Fringe phases table
pupil_phase_table : numpy table
Pupil phases table
solns_table : numpy table
Solutions table
"""
schema_url = "http://stsci.edu/schemas/jwst_datamodel/amilg.schema"
[docs] def get_primary_array_name(self):
"""
Returns the name "primary" array for this model, which
controls the size of other arrays that are implicitly created.
This is intended to be overridden in the subclasses if the
primary array's name is not "data".
"""
return 'fit_image'