Source code for jwst.coron.klip_step

#! /usr/bin/env python

from ..stpipe import Step
from .. import datamodels
from . import klip


__all__ = ["KlipStep"]


[docs]class KlipStep(Step): """ KlipStep: Performs KLIP processing on a science target coronagraphic exposure. The input science exposure is assumed to be a fully calibrated level-2b image. The processing is performed using a set of reference PSF images observed in the same coronagraphic mode. """ spec = """ truncate = integer(default=50,min=0) # The number of KL transform rows to keep """
[docs] def process(self, target, psfrefs): with datamodels.open(target) as target_model: # Retrieve the parameter values truncate = self.truncate self.log.info('KL transform truncation = %d', truncate) # Get the PSF reference images refs_model = datamodels.open(psfrefs) # Call the KLIP routine psf_sub, psf_fit = klip.klip(target_model, refs_model, truncate) # Update the step completion status psf_sub.meta.cal_step.klip = 'COMPLETE' #return psf_sub, psf_fit return psf_sub