Source code for jwst.pipeline.calwebb_dark

#!/usr/bin/env python
import logging

from ..stpipe import Pipeline
from .. import datamodels

# step imports
from ..group_scale import group_scale_step
from ..dq_init import dq_init_step
from ..saturation import saturation_step
from ..ipc import ipc_step
from ..superbias import superbias_step
from ..refpix import refpix_step
from ..rscd import rscd_step
from ..firstframe import firstframe_step
from ..lastframe import lastframe_step
from ..linearity import linearity_step

__all__ = ['DarkPipeline']

# Define logging
log = logging.getLogger()
log.setLevel(logging.DEBUG)


[docs]class DarkPipeline(Pipeline): """ DarkPipeline: Apply detector-level calibration steps to raw JWST dark ramp to produce a corrected 4-D ramp product. Included steps are: group_scale, dq_init, saturation, ipc, superbias, refpix, rscd, lastframe, and linearity. """ # Define aliases to steps step_defs = {'group_scale': group_scale_step.GroupScaleStep, 'dq_init': dq_init_step.DQInitStep, 'saturation': saturation_step.SaturationStep, 'ipc': ipc_step.IPCStep, 'superbias': superbias_step.SuperBiasStep, 'refpix': refpix_step.RefPixStep, 'rscd': rscd_step.RSCD_Step, 'firstframe': firstframe_step.FirstFrameStep, 'lastframe': lastframe_step.LastFrameStep, 'linearity': linearity_step.LinearityStep, } # start the actual processing
[docs] def process(self, input): log.info('Starting calwebb_dark ...') # open the input input = datamodels.RampModel(input) if input.meta.instrument.name == 'MIRI': # process MIRI exposures; # the steps are in a different order than NIR log.debug('Processing a MIRI exposure') input = self.group_scale(input) input = self.dq_init(input) input = self.saturation(input) input = self.ipc(input) input = self.firstframe(input) input = self.lastframe(input) input = self.linearity(input) input = self.rscd(input) else: # process Near-IR exposures log.debug('Processing a Near-IR exposure') input = self.group_scale(input) input = self.dq_init(input) input = self.saturation(input) input = self.ipc(input) input = self.superbias(input) input = self.refpix(input) input = self.linearity(input) log.info('... ending calwebb_dark') return input