def _import_photon_intensity(self, options, name, detector, path):
wxrresult = CharacteristicIntensity(path)
factor = self._get_normalization_factor(options, detector)
# Retrieve intensities
intensities = {}
for z, line in wxrresult.getAtomicNumberLines():
data = wxrresult.intensities[z][line]
transition = from_string("%s %s" % (symbol(z), line))
gnf = list(map(mul, data[WXRGENERATED], [factor] * 2))
enf = list(map(mul, data[WXREMITTED], [factor] * 2))
intensities[PhotonKey(transition, False, PhotonKey.P)] = gnf
intensities[PhotonKey(transition, True, PhotonKey.P)] = enf
return PhotonIntensityResult(intensities)
def _import_photon_intensity(self, options, name, detector, jobdir):
intensities_filepath = os.path.join(jobdir, 'intensities_%s.csv' % name)
if not os.path.exists(intensities_filepath):
raise ImporterException('Result file "intensites_%s.csv" not found in job directory (%s)' % \
(name, jobdir))
intensities = {}
with open(intensities_filepath, 'r') as fp:
reader = csv.DictReader(fp, delimiter=';')
try:
row = next(reader)
except StopIteration:
row = {}
for transition, intensity in row.items():
transition = from_string(transition.strip())
enf = (float(intensity.strip().replace(',', '.')), 0.0) # FIXME: Hack to handle locale problem
intensities[PhotonKey(transition, True, PhotonKey.P)] = enf
return PhotonIntensityResult(intensities)
def _import_photon_intensity(self, options, key, detector, path,
phdets_key_index, phdets_index_keys, *args):
def _read_intensities_line(line):
values = line.split()
try:
z = int(values[0])
src = Subshell(z, iupac=values[2].strip())
dst = Subshell(z, iupac=values[1].strip())
transition = Transition(z, src, dst)
except ValueError: # transition not supported
return None, 0.0, 0.0, 0.0, 0.0
nf = float(values[4]), float(values[5])
cf = float(values[6]), float(values[7])
bf = float(values[8]), float(values[9])
#tf = float(values[10]), float(values[11]) # skip not needed
t = float(values[12]), float(values[13])
return transition, cf, bf, nf, t
index = phdets_key_index[key] + 1
# Find data files
emitted_filepath = os.path.join(
path, 'pe-intens-%s.dat' % str(index).zfill(2))
if not os.path.exists(emitted_filepath):
raise ImporterException("Data file %s cannot be found" %
emitted_filepath)
generated_filepath = os.path.join(path, 'pe-gen-ph.dat')
if not os.path.exists(generated_filepath):
raise ImporterException("Data file %s cannot be found" %
generated_filepath)
# Load generated
intensities = {}
with open(generated_filepath, 'r') as fp:
for line in fp:
line = line.strip()
if line.startswith('#'): continue
transition, gcf, gbf, gnf, gt = _read_intensities_line(line)
if transition is None:
continue
intensities[PhotonKey(transition, False, PhotonKey.C)] = gcf
intensities[PhotonKey(transition, False, PhotonKey.B)] = gbf
intensities[PhotonKey(transition, False, PhotonKey.P)] = gnf
intensities[PhotonKey(transition, False, PhotonKey.T)] = gt
# Load emitted
with open(emitted_filepath, 'r') as fp:
for line in fp:
line = line.strip()
if line.startswith('#'): continue
transition, ecf, ebf, enf, et = _read_intensities_line(line)
if transition is None:
continue
intensities[PhotonKey(transition, True, PhotonKey.C)] = ecf
intensities[PhotonKey(transition, True, PhotonKey.B)] = ebf
intensities[PhotonKey(transition, True, PhotonKey.P)] = enf
intensities[PhotonKey(transition, True, PhotonKey.T)] = et
return PhotonIntensityResult(intensities)
