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 understand(image_file):
try:
params = FormatXTC.params_from_phil(cspad_locator_scope,
image_file)
except Exception:
return False
ds = FormatXTC._get_datasource(image_file, params)
return any(["cspad" in src.lower() for src in params.detector_address])
def __init__(self, image_file, **kwargs):
assert self.understand(image_file)
FormatXTC.__init__(
self, image_file, locator_scope=jungfrau_locator_scope, **kwargs
)
self._ds = FormatXTC._get_datasource(image_file, self.params)
self._env = self._ds.env()
self.populate_events()
self.n_images = len(self.times)
self._cached_detector = {}
self._cached_psana_detectors = {}
def __init__(self, image_file, **kwargs):
super(FormatXTCJungfrau,
self).__init__(image_file,
locator_scope=jungfrau_locator_scope,
**kwargs)
self._ds = FormatXTC._get_datasource(image_file, self.params)
self._env = self._ds.env()
self.populate_events()
self.n_images = len(self.times)
self._cached_detector = {}
self._cached_psana_detectors = {}
self._beam_index = None
self._beam_cache = None
def __init__(self, image_file, locator_scope=cspad_locator_scope, **kwargs):
super(FormatXTCCspad, self).__init__(
image_file, locator_scope=locator_scope, **kwargs
)
assert (
self.params.cspad.detz_offset is not None
), "Supply a detz_offset for the cspad"
self._ds = FormatXTC._get_datasource(image_file, self.params)
self._psana_runs = FormatXTC._get_psana_runs(self._ds)
self._cache_psana_det() # NOTE: move to base FormatXTC class
self._cache_psana_pedestals() # NOTE: move to base FormatXTC class
self._cache_psana_gain()
self.populate_events()
self.n_images = len(self.times)
def understand(image_file):
try:
params = FormatXTC.params_from_phil(multiple_locator_scope,
image_file)
except Exception:
return False
ds = FormatXTC._get_datasource(image_file, params)
if params.detector_address is None or len(
params.detector_address) <= 1:
return False
return [
"rayonix" in src.lower() or "cspad" in src.lower()
or "jungfrau" in src.lower() for src in params.detector_address
].count(True) >= 2