Baade + FourStar Reduction Manual
Updated on July 23, 2014 (Carlos)
Copy raw data into the work directory. In this example we will reduce chip 4 data.
cp /raw/BAA_FS_20220516_17/fsr*c4.fits .
Copy the corresponding bad-pixel-mask into the working directory.
cp /csp21/csp2/software/FSTAR/BPM/bp_4.fits MASK.fits
Run the FourStar pipeline for the chip number (it typically takes less than 30 min).
Create the combination sequence lists as:
Combinate each sequence lists as:
Then you need to change the orientation of the images, as well as to cut the borders.
For example I typically do for chip 4:
fitscopy stk_012.fits[1700:300,1700:300] stf_012.fits
so the stf_xxx images will be the final images. The orientation of the
original images depends on the chip, but it depends on the object coordinates
as well. So I suggest to look at the finding charts and use fitscopy properly.
Make the astrometric solution of every image with
REM_IMPOSE_WCS stk_006.fits mkwcs.par RA DEC
where RA and DEC are the SN coords in hh:mm:ss.ss dd:mm:ss format.
Run HEADERS to compute and add some necessary keywords.
ls stf*fits > l01
HEADERS @l01 BAA FS
Run SPREAD to create the proper final names of the images.
SPREAD l01 ../CATALOG.txt 5 BAA FS
Check the created file spread.txt makes sense, then execute it.
If it corresponds, you can do photometry of the images and upload it of the database.
ls /csp21/data/SNXXX/SNXXX_XX_BAA_FS_*.fits > lbaa
SN_COORDS SNXXX > cat
MAGINS @lbaa cat /csp21/data/CATALOGS/STDS.txt mags.txt
MAGSN SNXXX # Updating the SN photometry
Make sure the images were copied into the data repository, then you delete the fits images from the directory.