Products to be ingested
The VLA spectral line pipeline will make datacubes (RA, Dec, frequency axes) in addition to the continuum images. Each cube and continuum image should be a primary product, with its associated metadata, and take up one row in the results table.
Primary image products
Per band, per target continuum tt0 (both regular and selfcal):
oussid.L1473maser_sci.K_band.cont.[regcal,selfcal].I.pbcor.tt0.fits
Per target, per spectral line spectral window cubes:
oussid.LkHA101maser_sci.spw[??].cube.[regcal,selfcal].I.pbcor.fits
Ancillary products
Image level:
Per band, per target spectral index, spectral index error, primary beam and mask images (both regular and selfcal):
oussid.LkHA101maser_sci.K_band.cont.[regcal.selfcal].I.alpha.fits
oussid.LkHA101maser_sci.K_band.cont.[regcal.selfcal].I.alpha.error.fits
oussid.LkHA101maser_sci.K_band.cont.[regcal.selfcal].I.pb.fits
oussid.LkHA101maser_sci.K_band.cont.[regcal.selfcal].I.mask.fits
Group level
weblog.tgz - tarred and gzipped weblog
pipeline-<YYYMMDDTXXXXXX> - untarred weblogplaceholder.catalog.csv - empty file, will eventually contain source list
casa_pipescript.py - pipeline command script
...
pipeline_manifest.xml - XML-formatted list of files
Note that if cal+img was run the usual set of calibration products will also be produced.
Product metadata
Product metadata should reflect the VO Obscore standard in terms of what we store, but fields can be named consistent with other image ingests:
- Position: ra,dec of image center
- Size: NAXIS1, NAXIS2 in pixels, from FITS file
- Resolution: sqrt(BMAJ*BMIN), beam axial ratio BMAJ/BMIN of the lowest frequency plane (resolution varies with frequency, most users will convolve to the lowest resolution)
- start time: DATE-OBS from FITS file
- end time: DATE-END from FITS file
- minimum frequencyfrequency
- maximum frequencyfrequency
- spectral resolution (spectral channel width (Hz); CRDELT3 in the FITS header)
- project
- polarization types: I
...