Source code for jwst.assign_wcs.assign_wcs_step

#! /usr/bin/env python
from ..stpipe import Step
from .. import datamodels
from ..lib.exposure_types import IMAGING_TYPES
import logging
from .assign_wcs import load_wcs
from .util import MSAFileError

log = logging.getLogger(__name__)

__all__ = ["AssignWcsStep"]


[docs]class AssignWcsStep(Step): """ AssignWcsStep: Create a gWCS object and store it in ``Model.meta``. Reference file types: camera Camera model (NIRSPEC) collimator Collimator Model (NIRSPEC) disperser Disperser model (NIRSPEC) distortion Spatial distortion model (FGS, MIRI, NIRCAM, NIRISS) filteroffset Filter offsets (MIRI Imager) fore Transform through the FORE optics (NIRSPEC) fpa Transform in the FPA plane (NIRSPEC) ifufore Transforms from the MSA plane to the plane of the IFU slicer (NIRSPEC) ifupost Transforms from the slicer plane to the MSA plane (NIRSPEC) ifuslicer Metrology of the IFU slicer (NIRSPEC) msa Metrology of the MSA plane (NIRSPEC) ote Transform through the Optical Telescope Element (NIRSPEC) specwcs Wavelength calibration models (MIRI, NIRCAM, NIRISS) regions Stores location of the regions on the detector (MIRI) wavelengthrange Typical wavelength ranges (MIRI, NIRCAM, NIRISS, NIRSPEC) Parameters ---------- input : `~jwst.datamodels.ImageModel`, `~jwst.datamodels.IFUImageModel`, `~jwst.datamodels.CubeModel` Input exposure. """ spec = """ sip_approx = boolean(default=True) # enables SIP approximation for imaging modes. sip_max_pix_error = float(default=0.25) # max err for SIP fit, forward. sip_degree = integer(max=6, default=None) # degree for forward SIP fit, None to use best fit. sip_max_inv_pix_error = float(default=0.25) # max err for SIP fit, inverse. sip_inv_degree = integer(max=6, default=None) # degree for inverse SIP fit, None to use best fit. sip_npoints = integer(default=32) # number of points for SIP slit_y_low = float(default=-.55) # The lower edge of a slit. slit_y_high = float(default=.55) # The upper edge of a slit. """ reference_file_types = ['distortion', 'filteroffset', 'specwcs', 'regions', 'wavelengthrange', 'camera', 'collimator', 'disperser', 'fore', 'fpa', 'msa', 'ote', 'ifupost', 'ifufore', 'ifuslicer']
[docs] def process(self, input, *args, **kwargs): reference_file_names = {} with as input_model: # If input type is not supported, log warning, set to 'skipped', exit if not (isinstance(input_model, datamodels.ImageModel) or isinstance(input_model, datamodels.CubeModel) or isinstance(input_model, datamodels.IFUImageModel)): log.warning("Input dataset type is not supported.") log.warning("assign_wcs expects ImageModel, IFUImageModel or CubeModel as input.") log.warning("Skipping assign_wcs step.") result = input_model.copy() result.meta.cal_step.assign_wcs = 'SKIPPED' return result for reftype in self.reference_file_types: reffile = self.get_reference_file(input_model, reftype) reference_file_names[reftype] = reffile if reffile else "" log.debug(f'reference files used in assign_wcs: {reference_file_names}') # Get the MSA metadata file if needed and add to reffiles if input_model.meta.exposure.type == "NRS_MSASPEC": msa_metadata_file = input_model.meta.instrument.msa_metadata_file if msa_metadata_file is not None and msa_metadata_file.strip() not in ["", "N/A"]: msa_metadata_file = self.make_input_path(msa_metadata_file) reference_file_names['msametafile'] = msa_metadata_file else: message = "MSA metadata file (MSAMETFL) is required for NRS_MSASPEC exposures." log.error(message) raise MSAFileError(message) slit_y_range = [self.slit_y_low, self.slit_y_high] result = load_wcs(input_model, reference_file_names, slit_y_range) if not (result.meta.exposure.type.lower() in IMAGING_TYPES and self.sip_approx): return result # fit sip approx., degree is chosen by best fit sip_degree = range(1, _MAX_SIP_DEGREE) if self.sip_degree is None else self.sip_degree sip_inv_degree = range(1, _MAX_SIP_DEGREE) if self.sip_inv_degree is None else self.sip_inv_degree crpix = [result.meta.wcsinfo.crpix1, result.meta.wcsinfo.crpix2] crpix = None if None in crpix else crpix try: fit_sip_hdr = result.meta.wcs.to_fits_sip( max_pix_error=self.sip_max_pix_error, degree=sip_degree, max_inv_pix_error=self.sip_max_inv_pix_error, inv_degree=sip_inv_degree, npoints=self.sip_npoints, crpix=crpix ) except ValueError: return result # maintain convention of lowercase keys fit_sip_hdr = {k.lower(): v for k, v in fit_sip_hdr.items()} # update meta.wcs_info with fit keywords except for naxis* for key in ['naxis1', 'naxis2']: del fit_sip_hdr[key] # update meta.wcs_info with fit keywords result.meta.wcsinfo.instance.update(fit_sip_hdr) # delete naxis, cdelt, pc from wcsinfo rm_keys = ['naxis', 'cdelt1', 'cdelt2', 'pc1_1','pc1_2', 'pc2_1', 'pc2_2'] for key in rm_keys: if key in result.meta.wcsinfo.instance: del result.meta.wcsinfo.instance[key] return result