#Arm colors
data_dict = {'reduc_tag': 'cosmic_ray_removal_imComb'}
colors = ['Blue', 'Red']
#Loop through the arms
index_object = (dz.reducDf.reduc_tag == 'obj_combine') & (dz.target_validity_check())
Files_Folder = dz.reducDf.loc[index_object, 'file_location'].values
Files_Name = dz.reducDf.loc[index_object, 'file_name'].values
objects = dz.reducDf.loc[index_object, 'frame_tag'].values
colors_arm = dz.reducDf.loc[index_object, 'ISIARM'].values
for i in range(len(objects)):
#Get the data ready for the task
fitsdata, hdr = cosmics.fromfits(Files_Folder[i] + Files_Name[i], verbose=False)
#Get the object configuration values:
if objects[i] + '_lacosmic' in dz.observation_dict:
sigclip = float(dz.observation_dict[objects[i] + '_lacosmic'][0])
else:
if objects[i] in dz.observation_dict['Standard_stars']:
sigclip = 10.0
else:
if colors_arm[i] == 'Blue arm':
sigclip = 10.0
elif colors_arm[i] == 'Red arm':
sigclip = 10.0
print '\n-Treating:', Files_Name[i],' ', i, '/', len(Files_Name), objects[i] + '_lacosmic', sigclip, '\n'
