ConvolutionRenderer#

class scarlet2.renderer.ConvolutionRenderer(model_frame, obs_frame)[source]#

Convolve model with observed PSF

The convolution is performed in Fourier space and applies the difference kernel between model PSF and observed PSF.

Initialize convolution renderer with difference kernel between model_frame and obs_frame

Parameters:

model_frame (Frame) – The model frame to be resampled
obs_frame (Frame) – The observation frame to which the model frame is resampled

__call__(model, key=None)[source]#: What to run when ConvolutionRenderer is called

get(name=None)#

Get parameter(s) from this module

Parameters:: name (str, optional) – Name of parameter. If not set, returns all parameters.
Returns:: requested data arrays for parameters
Return type:: dict

property parameters#

Parameters defined for this module

set(values)#

Set parameter(s) from this module with values

Parameters:: values (dict[str,jnp.array]) – values to replace parameters with, identified by their name
Returns:: new module with parameter(s) replaced by values
Return type:: Module

ConvolutionRenderer