Source code for jwst.datamodels.ifuimage

from .model_base import JwstDataModel
from .image import ImageModel

__all__ = ['IFUImageModel']

[docs]class IFUImageModel(JwstDataModel): """ A data model for 2D IFU images. Parameters __________ data : numpy float32 array The science data dq : numpy uint32 array Data quality array err : numpy float32 array Error array zeroframe : numpy float32 array Zeroframe array var_poisson : numpy float32 array variance due to poisson noise var_rnoise : numpy float32 array variance due to read noise wavelength : numpy float32 array wavelength pathloss_point : numpy float32 array pathloss correction for point source pathloss_uniform : numpy float32 array pathloss correction for uniform source area : numpy float32 array Pixel area map array """ schema_url = "" def __init__(self, init=None, **kwargs): if isinstance(init, ImageModel): super(IFUImageModel, self).__init__(init=None, **kwargs) self.update(init) = self.dq = init.dq self.err = init.err if init.hasattr('var_poisson'): self.var_poisson = init.var_poisson if init.hasattr('var_rnoise'): self.var_rnoise = init.var_rnoise if init.hasattr('area'): self.area = init.area if init.hasattr('pathloss_point'): self.pathloss_point = init.pathloss_point if init.hasattr('pathloss_uniform'): self.pathloss_uniform = init.pathloss_uniform return super(IFUImageModel, self).__init__(init=init, **kwargs) # Implicitly create arrays self.dq = self.dq self.err = self.err