def __init__(self, image_file, **kwargs):
assert self.understand(image_file)
FormatXTC.__init__(self,
image_file,
locator_scope=multiple_locator_scope,
**kwargs)
self._ds = FormatXTCMultipleDetectors._get_datasource(
image_file, self.params)
self._env = self._ds.env()
self.populate_events()
self.n_images = len(self.times)
if any(
["rayonix" in src.lower()
for src in self.params.detector_address]):
FormatXTCRayonix.__init__(self, image_file, **kwargs)
if any(
["cspad" in src.lower() for src in self.params.detector_address]):
FormatXTCCspad.__init__(self, image_file, **kwargs)
if any([
"jungfrau" in src.lower()
for src in self.params.detector_address
]):
FormatXTCJungfrau.__init__(self, image_file, **kwargs)
FormatXTC.__init__(self,
image_file,
locator_scope=multiple_locator_scope,
**kwargs)
def __init__(self, image_file, **kwargs):
assert (self.understand(image_file))
FormatXTCCspad.__init__(self,
image_file,
locator_scope=d9114_locator_scope,
**kwargs)
self._ds = FormatXTC._get_datasource(image_file, self.params)
self.run_number = self.params.run[0]
self.cspad = psana.Detector(self.params.detector_address[0])
self.dark = self.cspad.pedestals(self.run_number).astype(np.float64)
self.gain = self.cspad.gain_mask(self.run_number) == 1.
if CSPAD_MASK is not None:
self.cspad_mask = CSPAD_MASK
else:
self.cspad_mask = np.ones_like(self.gain)
self.nominal_gain_val = self.cspad._gain_mask_factor
self.populate_events()
self.n_images = len(self.times)
self.params = FormatXTCD9114.get_params(image_file)
self._set_pppg_args()
self._set_psf()
self._set_2d_img_info()
self.detector_distance = env_distance(self.params.detector_address[0],
self._ds.env(),
self.params.cspad.detz_offset)
def __init__(self, image_file, **kwargs):
if any(["rayonix" in src.lower() for src in self.params.detector_address]):
FormatXTCRayonix.__init__(self, image_file, **kwargs)
if any(["cspad" in src.lower() for src in self.params.detector_address]):
FormatXTCCspad.__init__(self, image_file, **kwargs)
if any(["jungfrau" in src.lower() for src in self.params.detector_address]):
FormatXTCJungfrau.__init__(self, image_file, **kwargs)
FormatXTC.__init__(
self, image_file, locator_scope=multiple_locator_scope, **kwargs
)
def __init__(self, image_file, **kwargs):
assert(self.understand(image_file))
FormatXTC.__init__(self, image_file, locator_scope = multiple_locator_scope, **kwargs)
self._ds = self._get_datasource(image_file)
self._env = self._ds.env()
self.populate_events()
self.n_images = len(self.times)
if any(['rayonix' in src.lower() for src in FormatXTC._src]):
FormatXTCRayonix.__init__(self, image_file, **kwargs)
if any(['cspad' in src.lower() for src in FormatXTC._src]):
FormatXTCCspad.__init__(self, image_file, **kwargs)
if any(['jungfrau' in src.lower() for src in FormatXTC._src]):
FormatXTCJungfrau.__init__(self, image_file, **kwargs)
FormatXTC.__init__(self, image_file, locator_scope = multiple_locator_scope, **kwargs)