if len(sys.argv)!=2:
print('Usage:\npython wht_calibrate_objects.py [full_path_to_reduced_data]\n')
exit()
indir = sys.argv[1]
os.chdir(indir)
#change this to point to your raw data directory
ic1 = ImageFileCollection(indir.replace('sci2', '20160115'))
#create an array of dates
arm = 'Red arm'
file_list = []
date_list=[]
for hdu, fname in ic1.hdus(obstype='Arc', isiarm=arm, return_fname=True):
if os.path.isfile('w_arc_'+os.path.basename(fname)):
d = hdu.header['DATE-OBS'] + ' ' + hdu.header['UT']
d = datetime.strptime(d, '%Y-%m-%d %H:%M:%S.%f')
file_list.append(fname)
date_list.append(d)
date_arr = np.array(date_list)
#reduce the object frames
for filename in ic1.files_filtered(obstype='TARGET', isiarm=arm):
hdu = fits.open('obj_' + filename)
#find the closest two arcs in time
#open them, based on the time difference
#average their frames, and then use that as the
#wave map for the object file
