NIRCAMBackwardGrismDispersion¶
-
class
jwst.transforms.models.
NIRCAMBackwardGrismDispersion
(orders, lmodels=None, xmodels=None, ymodels=None, name=None, meta=None)[source]¶ Bases:
astropy.modeling.core.Model
Return the valid pixel(s) and wavelengths given center x,y and lam
Parameters: - orders (list [int]) – List of orders which are available
- lmodels (list [astropy.modeling.Model]) – List of models which govern the wavelength solutions
- xmodels (list [astropy.modeling.Model]) – List of models which govern the x solutions
- ymodels (list [astropy.modeling.Model]) – List of models which givern the y solutions
Returns: - x, y, lam, order in the grism image for the pixel at x0,y0 that was
- specified as input using the wavelength l for the specified order
Notes
The evaluation here is lineaer because higher orders have not yet been defined for NIRCAM (NIRCAM polynomials currently do not have any field dependence)
Attributes Summary
fittable
inputs
linear
outputs
standard_broadcasting
Methods Summary
__call__
(x, y, wavelength, order[, …])Evaluate this model using the given input(s) and the parameter values that were specified when the model was instantiated. evaluate
(x, y, wavelength, order)Return the tranfrom from image to grism for the given spectral order. Attributes Documentation
-
fittable
= False¶
-
inputs
= ('x', 'y', 'wavelength', 'order')¶
-
linear
= False¶
-
outputs
= ('x', 'y', 'x0', 'y0', 'order')¶
-
standard_broadcasting
= False¶
Methods Documentation
-
__call__
(x, y, wavelength, order, model_set_axis=None, with_bounding_box=False, fill_value=nan, equivalencies=None)¶ Evaluate this model using the given input(s) and the parameter values that were specified when the model was instantiated.