def PIPELINE(path):
'''The **OASIS Pipeline**. Runs all **OASIS** functions in succession.
:param str path: Path of data file tree (contains the **configs**, **data**, **psf**, **residuals**, **sources**, **templates** directories). Use a comma-separated list for mapping to multiple datasets.
:returns: All-in-one difference imaging pipeline. Raw science images are placed in the **data** directory, and residual images and source catalogs are outputted into the **residuals** and **sources** directories, respectively.
'''
paths = (path.replace(' ', '')).split(',')
del path
for path in paths:
startTime = time.time()
if os.path.exists(path) == True:
initialize.create(path)
location = path + '/data'
mask.MASK(path)
sat = check_saturation.check_saturate(location)
if sat == 0:
ref_image(location)
align_astroalign.align2(location)
else:
check = input(
"-> Saturated images found\n-> Move saturated images to OASIS archive? (y/n): "
)
if check == 'y':
check_saturation.move_arch(sat)
ref_image(location)
align_astroalign.align2(location)
elif check == 'n':
ref_image(location)
align_astroalign.align2(location)
else:
print("-> Error: Unknown input")
sys.exit()
print("-> Combining images using swarp method...")
psf.PSF(path)
combine_swarp.swarp(location)
psf.PSF(path)
print("\n-> Subtracting images using AIS method...")
subtract_ais.isis_sub(path)
optimize.perform_optimization(path)
print("-> Running SExtractor on residuals...")
extract.EXTRACT(path, method='indiv')
MR.MR(path)
extract.EXTRACT(path, method='MR')
endTime = time.time()
print("-> Finished!\n-> Total runtime: %.2f seconds\n" %
(endTime - startTime))
else:
print(
"\n-> Error: Unknown path entered\n-> Please enter the path to an existing exposure time directory\n-> Exiting...\n"
)
sys.exit()
def PIPELINE():
get_check = input("-> Get data or analyze existing data? (get/analyze): ")
if get_check == 'get':
get.GET()
elif get_check == 'analyze':
location = input("-> Enter path to data directory: ")
sat = check_saturation.check_saturate(location)
if sat == 0:
ref_image(location)
align_astroalign.align2(location)
else:
check = input(
"-> Saturated images found, continue image alignment? (y/n): ")
if check == 'y':
move = input(
"-> Move saturated images to SDI archives before continuing? (y/n): "
)
if move == 'y':
check_saturation.move_arch(sat)
ref_image(location)
align_astroalign.align2(location)
else:
ref_image(location)
align_astroalign.align2(location)
method = input(
"-> Choose combination method-- numpy (default) or swarp: ")
if method == "swarp":
combine_swarp.swarp(location)
elif method == "numpy" or method == "":
combine_numpy.combine_median(location)
else:
print("-> Error: unknown method entered")
path = location[:-5]
sub_method = input(
"\n-> Choose subtraction method-- ais (default) or hotpants: ")
if sub_method == '' or sub_method == 'ais':
subtract_ais.isis_sub(path)
elif sub_method == 'hotpants':
subtract_hotpants.hotpants(path)
else:
print("\n-> Error: Unknown method")
ask = input("-> Run sextractor on residual images? (y/n): ")
if ask == 'y':
extract.SEXTRACTOR(path)
elif ask != 'y' and ask != 'n':
print("-> Error: unknown input")
def ALIGN():
location = input("-> Enter path to data directory: ")
sat = check_saturation.check_saturate(location)
if sat == 0:
ref_image(location)
align_astroalign.align2(location)
else:
check = input("-> Saturated images found, continue image alignment? (y/n): ")
if check == 'y':
move = input("-> Move saturated images to SDI archives before continuing? (y/n): ")
if move == 'y':
check_saturation.move_arch(sat)
ref_image(location)
align_astroalign.align2(location)
elif move == 'n':
ref_image(location)
align_astroalign.align2(location)
else:
print("-> Unknown input: must be y or n")
elif check =='n':
pass
else:
print("-> Unknown input: must be y or n")
def ALIGN(path, align_method='standard'):
'''Registers all science images to their reference image. If no reference image exists, one is chosen (see documentation for details).
:param str path: Path of data file tree (contains the **configs**, **data**, **psf**, **residuals**, **sources**, **templates** directories). Use a comma-separated list for mapping to multiple datasets.
:param str align_method: Method of alignment. Can be either *standard* or *fakes*. Default is *standard*. The *fakes* method should be used only for simulations, as it bypasses registration and only performs photometric alignment.
:returns: Aligns all science images are aligned to the reference image to subpixel precision. A succesful alignment changes an image's suffix from *_U_* to *_A_*.
'''
paths = (path.replace(' ', '')).split(',')
del path
for path in paths:
if os.path.exists(path):
location = path + '/data'
mask.MASK(path)
sat = check_saturation.check_saturate(location)
if sat == 0:
ref_image(location)
align_astroalign.align2(location, method=align_method)
else:
check = input(
"-> Saturated images found, continue image alignment? (y/n): "
)
if check == 'y':
print("-> Moving saturated images to OASIS archives...")
check_saturation.move_arch(sat)
ref_image(location)
align_astroalign.align2(location, method=align_method)
elif check == 'n':
pass
else:
print("-> Unknown input: must be y or n")
sys.exit()
else:
print(
"\n-> Error: Unknown path entered\n-> Please enter the path to an existing exposure time directory\n-> Exiting...\n"
)
sys.exit()
get.GET()
elif get_check == 'analyze':
location = input("-> Enter path to data directory: ")
sat = check_saturation.check_saturate(location)
if sat == 0:
ref_image(location)
align_astroalign.align2(location)
else:
check = input(
"-> Saturated images found, continue image alignment? (y/n): ")
if check == 'y':
move = input(
"-> Move saturated images to SDI archives before continuing? (y/n): "
)
if move == 'y':
check_saturation.move_arch(sat)
ref_image(location)
align_astroalign.align2(location)
else:
ref_image(location)
align_astroalign.align2(location)
method = input(
"-> Choose combination method-- numpy (default) or swarp: ")
if method == "swarp":
combine_swarp.swarp(location)
elif method == "numpy" or method == "":
combine_numpy.combine_median(location)
else:
print("-> Error: unknown method entered")
path = location[:-5]
sub_method = input(
