def find_objects_by_phot(family_name, aperture, thresh, imagetype):
"""
For a given family name and object name, preforms photometry and identifies object in the image.
If only a family name is given, does the same for all objects in that family
"""
# get CADC authentification
username = raw_input("CADC username: "******"CADC password: "******"\n {} --- Searching for asteroid {} in image {} ".format(row, table['Object'][row], table['Image'][row])
expnum = (table['Image'][row]).strip('{}'.format(imagetype))
if expnum in tkbad_list:
print '-- Bad exposure'
else:
postage_stamp_filename = "{}_{}_{:8f}_{:8f}.fits".format(table['Object'][row], table['Image'][row],
table['RA'][row], table['DEC'][row])
if not storage.exists('{}/{}'.format(vos_dir, postage_stamp_filename)):
print '-- Cutout not found, creating new cutout'
get_stamps.cutout(username, password, family_name, table['Object'][row], table['Image'][row],
table['RA'][row], table['DEC'][row], _RADIUS)
if not storage.exists('{}/{}'.format(vos_dir, postage_stamp_filename)):
with open('{}/{}/{}'.format(_OUTPUT_DIR, family_name, _OUTPUT_VOS_ERR), 'a') as outfile:
outfile.write('{} {}\n'.format(table['Object'][row], table['Image'][row]))
else:
success = False
attempts = 0
while (success is False) and (attempts < 3):
success = iterate_thru_images(family_name, str(table['Object'][row]), table['Image'][row], username,
password, aperture, thresh)
attempts += 1
if attempts == 3:
print ' >>>> Last attempt \n'
def main():
parser = argparse.ArgumentParser(
description='For a given set of fits images: preforms photometry, identifies a specific object, and returns \
the orbital elements of the object')
parser.add_argument("--family", '-f',
action="store",
default='all',
help="Asteroid family name. Usually the asteroid number of the largest member.")
parser.add_argument("--aperture", '-ap',
action='store',
default=10.0,
help='aperture (degree) of circle for photometry.')
parser.add_argument("--thresh", '-t',
action='store',
default=3.,
help='threshold value for photometry (sigma above background).')
parser.add_argument("--object", '-o',
action='store',
default=None,
help='The object to be identified.')
parser.add_argument("--expnum", '-x',
action='store',
default=None,
help='The exposure that the object is in.')
parser.add_argument('--type',
default='p',
choices=['o', 'p', 's'],
help="restrict type of image (unprocessed, reduced, calibrated)")
args = parser.parse_args()
if args.object is None:
find_objects_by_phot(args.family, float(args.aperture), float(args.thresh), args.type)
else:
assert args.expnum.endswith('p') or args.expnum.endswith('o'), "Must include 'p' or 'o' in expnum"
image_list_path = '{}/{}_{}'.format(_IMAGE_LISTS, args.family, _INPUT_FILE)
table = pd.read_table(image_list_path, sep='\t', dtype={'Object': object, 'Image': object}, index_col=False)
lines = table[(table.Object == args.object) & (table.Image == args.expnum)]
print lines
username = raw_input("CADC username: "******"CADC password: "******"{}_{}_{:8f}_{:8f}.fits".format(args.object, args.expnum, float(lines.RA.values[0]),
float(lines.DEC.values[0]))
if not storage.exists('{}/all/{}'.format(_VOS_DIR, postage_stamp_filename)):
print '-- Cutout not found, creating new cutout'
get_stamps.cutout(username, password, args.family, args.object, args.expnum, lines.RA.values[0],
lines.DEC.values[0], _RADIUS)
assert storage.exists('{}/all/{}'.format(_VOS_DIR, postage_stamp_filename)), 'Error: Cutout not found'
iterate_thru_images(args.family, args.object, args.expnum, username, password, float(args.aperture),
float(args.thresh))
