Source code for jwst.datamodels.multislit

from .model_base import JwstDataModel
from .image import ImageModel
from .slit import SlitModel, SlitDataModel

__all__ = ['MultiSlitModel']

[docs]class MultiSlitModel(JwstDataModel): """ A data model for multi-slit images. This model has a special member `slits` that can be used to deal with an entire slit at a time. It behaves like a list:: >>> from .slit import SlitModel >>> multislit_model = MultiSlitModel() >>> multislit_model.slits.append(SlitModel()) >>> multislit_model[0] <SlitModel> If ``init`` is a file name or an ``ImageModel`` or a ``SlitModel``instance, an empty ``SlitModel`` will be created and assigned to attribute ``slits[0]``, and the `data`, ``dq``, ``err``, ``var_rnoise``, and ``var_poisson`` attributes from the input file or model will be copied to the first element of ``slits``. Parameters __________ : numpy float32 array The science data slits.items.dq : numpy uint32 array Data quality array slits.items.err : numpy float32 array Error array slits.items.var_poisson : numpy float32 array variance due to poisson noise slits.items.var_rnoise : numpy float32 array variance due to read noise slits.items.wavelength : numpy float32 array Wavelength array, corrected for zero-point slits.items.barshadow : numpy float32 array Bar shadow correction slits.items.flatfield_point : numpy float32 array flatfield array for point source slits.items.flatfield_uniform : numpy float32 array flatfield array for uniform source slits.items.pathloss_point : numpy float32 array pathloss array for point source slits.items.pathloss_uniform : numpy float32 array pathloss array for uniform source slits.items.photom_point : numpy float32 array photom array for point source slits.items.photom_uniform : numpy float32 array photom array for uniform source slits.items.area : numpy float32 array Pixel area map array """ schema_url = "" def __init__(self, init=None, **kwargs): if isinstance(init, (SlitModel, ImageModel)): super(MultiSlitModel, self).__init__(init=None, **kwargs) self.update(init) slitdata = SlitDataModel(init) self.slits.append(slitdata) return super(MultiSlitModel, self).__init__(init=init, **kwargs) def __getitem__(self, key): """ Returns a metadata value using a dotted name or a ``SlitModel``. """ if isinstance(key, str) and key.split('.')[0] == 'meta': res = super(MultiSlitModel, self).__getitem__(key) return res elif isinstance(key, int): # Return an instance of a SlitModel # This only executes when the top object level # is called: object[1].key not object.slits[key] try: slit = self.slits[key] # returns an ObjectNode instance except IndexError: raise("Slit {0} doesn't exist".format(key)) kwargs = {} items = dict(slit.items()) for key in items: if not key.startswith(('meta', 'extra_fits')): kwargs[key] = items[key] s = SlitModel(**kwargs) s.update(self) if slit.meta.hasattr('wcs'): s.meta.wcs = slit.meta.wcs return s else: raise ValueError("Invalid key {0}".format(key))