Asn_Lv2WFSSParallel
- class jwst.associations.lib.rules_level2b.Asn_Lv2WFSSParallel(*args, **kwargs)[source]
Bases:
AsnMixin_Lv2WFSS,AsnMixin_Lv2SpectralLevel 2b WFSS/GRISM associations for WFSS taken in pure-parallel mode.
- Characteristics:
Association type:
spec2Pipeline:
calwebb_spec2Multi-object science exposures
Single Science exposure
Require a source catalog from processing of the corresponding direct imagery.
WFSS is executed differently when taken as part of a pure-parallel proposal than when WFSS is done as the primary. The differences are as follows. When primary, all components, the direct image and the two GRISM exposures, are executed within the same observation. When in parallel, each component is taken as a separate observation. These are always in associations of type DIRECT_IMAGE.
Another difference is that there is no
targetidassigned to the parallel exposures. However, since WFSS parallels are very specific, there is no need to constrain on target. A default value is used for the Level 3 product naming.Attributes Summary
Methods Summary
find_closest_direct(_science, directs)Find the direct image that is closest to the science.
validate_candidates(_member)Stub to always return True.
Attributes Documentation
- asnreg_marked = True
- asnreg_role = 'rule'
Methods Documentation
- static find_closest_direct(_science, directs)[source]
Find the direct image that is closest to the science.
For NIRCam pure parallel observations, there should only be one long-wavelength direct image in a given direct_image candidate. Find it by searching for ‘long’ filenames. All [a|b]long filenames should belong to the same level 3 product, which will be associated to the grism image.
For NIRISS, only one direct image optical path should be associated with a given grism image.
- Parameters:
- _sciencedict
The science member to compare against; unused.
- directs[dict[,…]]
The available direct members.
- Returns:
- closestdict
The direct image that is the “closest”