Create JSON files for DECam given an observing sequence table
positional arguments:
filename Sequence file name (CSV)
optional arguments:
-h, --help show this help message and exit
-oh OVERHEAD, --overhead OVERHEAD
Overhead between exposures (s)
-max MAX_TIME, --max-time MAX_TIME
Maximim time per sequence (hr)
-pi PI, --principal-investigator PI
Program Principal Investigator
-prog PROGRAM, --program PROGRAM
Program name
-id PROPID, --proposal-id PROPID
Proposal ID
-c COUNT, --count COUNT
Number of identical repeats per exposure
-d OUTDIR, --directory OUTDIR
Path to the directory where the JSON files will be
written
The input CSV file must have these columns:
fieldname, ra, dec, filter, exptime
CDFS, 52.5, -28.1, g, 140
CDFS, 52.5,-28.1, i, 170
...
Example:
python create_json.py observing_sequence.csv -max 2 -pi "Albert Einstein" -prog "Fun With Relativity" -id NOAO-1908A --directory JSON_files
Example output:
Observing sequence found with 148 exposures
Assuming 30s overhead between exposures
(this can be changed by passing the --overhead argument)
Sequence 1 has 43 exposures, total time 1.96hr
Sequence 2 has 39 exposures, total time 2.00hr
Sequence 3 has 39 exposures, total time 2.00hr
Sequence 4 has 27 exposures, total time 1.34hr
Expected total run time for the night: 7.36hr
Query photometry catalogs and store them in a format that can be used by Photpipe.
Available catalogs: SkyMapper Southern Sky Survey (called as SM, SkyMapper, skymapper), Pan-STARRS1 (called as PS1, ps1, PanSTARRS, panstarrs), and the AAVSO Photometric All-Sky Survey (called as APASS). Gaia is also available, but the focus is on astrometry. The usage for photometric calibration should be made more robust.
usage: query_catalog_pipe.py [-h] [-f FILENAME] [-c CATNAME] [-o PATHDIR]
[-s FIELD_SIZE] [-b BRIGHT_THRESH] [-nc] [-v]
Query photometric catalogs
optional arguments:
-h, --help show this help message and exit
-f FILENAME, --filename FILENAME
File with field centers per ccd
-c CATNAME, --catalog CATNAME
Catalog to be queried (SM, PS1, APASS, Gaia)
-o PATHDIR, --out-path PATHDIR
Path to the directory where the files will be saved
-s FIELD_SIZE, --field-size FIELD_SIZE
Side of the catalog search box (arcmin)
-b BRIGHT_THRESH, --bright BRIGHT_THRESH
Brightness (mag) threshold for stars to be flagged
-v, --verbose Prints out how many sources were found per field
--clobber Clobber (default False)
The input file should be a txt with columns in the following format (additional columns may be present):
#field ampl RAdeg DECdeg
14hr 1 217.119992 -77.196263
14hr 2 218.519882 -77.200877
14hr 3 219.922000 -77.197600
...
Example:
query_catalog_pipe.py -f KNTraP.fieldcenters -c SM
Example output: file catalogs_photometry/14hr_g_1_SM_phot.cat
# ra dec g dg
217.681329012 -77.325544953 18.229999542236328 0.02500000037252903
217.692063093 -77.339087963 18.125999450683594 0.05400000140070915
217.266801119 -77.34544003 17.944000244140625 0.13199999928474426
...
Copying the output catalogs in photpipe directories: In order to copy the files generated by query_catalog_pipe.py into the right folders, so that they can be used by photpipe, you can use the copy_catalogs_photom.py code. Note that part of the paths are hardcoded, this is a really basic script.