Tools that assist with the selection of observable TESS Objects of Interest for ground-based follow-up.
Pulls data from exofop to generate a CSV of objects of interest that will be observable from a specified observatory within a specified time interval. CSV includes useful planning info, such as SG priority and previous observations of each object.
Run with:
$ python3 get_tois.py SITE OBS_TYPE START_DATE START_TIME END_DATE END_TIME
where SITE
is the observatory (lick or maunakea), OBS_TYPE
is the type of observation being taken (spec or img), START_DATE
/END_DATE
is the date that you will start/end you observations in the timezone of the observatory (formatted as YYYY-MM-DD), and START_TIME
/END_TIME
is the time that you will start/end your observations in the timezone of the observatory (formatted as HH:MM).
Converts a csv with a list of object names and coordinates into a format readable by jskycalc.
Run with:
$ python3 to_jskycalc.py INPUT.csv
where INPUT.csv
is a csv with the same headers as those in files created with the above scripts.