def __init__(self, inlist):
"""Initializer for the class
Parameters
----------
inlist: str
name of list with the fits images
"""
# initialize the list of spectra
self._imalist = []
# load the list with input images
ilist = axe_asciidata.open(inlist)
# go over the image names
for item in ilist[0]:
# check whether the file is there
if not os.path.isfile(getSIMDATA(item)):
error_message = ("\nDid not find image: {0:s} !!".format(
str(getSIMDATA(item))))
raise aXeSIMError(error_message)
# apend the fits to the liast
self._imalist.append(ArtImage(getSIMDATA(item.strip())))
def check_simdirim_input(self, incat, config, tpass_direct, model_spectra,
model_images, nx, ny, exptime, bck_flux):
"""Does basic checks on the parameters
The method checks whether all input values are reasonable, e.g.
the exposure time and background flux >= 0.0 and similar.
Input files are checked for existence. Also the input type is
checked for the numbers.
Parameters
----------
incat: str
name of model object table
config: str
aXe configuration file name
tpass_direct: str
total passband file
model_spectra: str
name of model spectra
model_images: str
name of model images
nx: int
number of pixels in x
ny: int
number of pixels in y
exptime: float
exposure time
bck_flux: float
flux in background
"""
# do the setup
config_util.axe_setup(axesim=True)
# check the existence of the
# model object table
if not os.path.isfile(config_util.getDATA(incat)):
error_message = (
"The Model Object Table does not exist: {0}".format(
config_util.getDATA(incat)))
raise aXeSIMError(error_message)
# check the existence of the
# axe configuration file
if not os.path.isfile(config_util.getCONF(config)):
error_message = (
"The aXe configuration file does not exist: {0}".format(
config_util.getCONF(config)))
raise aXeSIMError(error_message)
else:
# load the aXe configuration file
conf = configfile.ConfigFile(config_util.getCONF(config))
# make the internal checks
n_sens = conf.check_files(check_glob=False)
# make sure there is
# at least one sens. file
if n_sens < 1:
error_message = ("There must be at least one sensitivity "
"file in: {0}".format(
config_util.getCONF(config)))
raise aXeSIMError(error_message)
# check the existence of the
# total passband file
if not os.path.isfile(config_util.getSIMDATA(tpass_direct)):
error_message = (
"The total passband file does not exist: {0}".format(
config_util.getSIMDATA(tpass_direct)))
raise aXeSIMError(error_message)
if model_spectra is not None:
# check the existence of the
# model spectra file
if not os.path.isfile(config_util.getDATA(model_spectra)):
error_message = (
"The model spectra file does not exist: {0}".format(
config_util.getDATA(config)))
raise aXeSIMError(error_message)
if model_images is not None:
# check the existence of the
# model images file
if not os.path.isfile(config_util.getDATA(model_images)):
error_message = (
"The model images file does not exist: {0}".format(
config_util.getDATA(config)))
raise aXeSIMError(error_message)
# check the nx-value
if ((nx is not None) and (nx <= 0.0)):
error_message = ("Value for 'nx' or 'nx_dir' must be positive: "
"{0:s}".format(str(nx)))
raise aXeSIMError(error_message)
# check the ny-value
if ((ny is not None) and (ny <= 0)):
error_message = ("Value for 'ny' or 'ny_dir' must be positive: "
"{0:s}".format(str(ny)))
raise aXeSIMError(error_message)
# check the exptime-value
if ((exptime is not None) and (exptime < 0)):
error_message = ("Value for 'exptime' or 'exptime_dir' must be "
"positive: {0:s}".format(str(exptime)))
raise aXeSIMError(error_message)
if bck_flux is not None:
# check the bck_flux-value
try:
# convert to float
bck = float(bck_flux)
# check for positive value
if bck < 0:
error_message = ("Value for 'bck_flux' or 'bck_flux_dir'"
" must be positive: {0:s}".format(
str(bck_flux)))
raise aXeSIMError(error_message)
# catch a string
except ValueError:
# check for existence of file
if not os.path.isfile(config_util.getCONF(bck_flux)):
error_message = (
"The background file does not exist: {0}".format(
config_util.getCONF(bck_flux)))
raise aXeSIMError(error_message)