def __init__(
self,
subarray,
config=None,
parent=None,
image_extractor=None,
data_volume_reducer=None,
**kwargs,
):
"""
Parameters
----------
subarray: ctapipe.instrument.SubarrayDescription
Description of the subarray. Provides information about the
camera which are useful in calibration. Also required for
configuring the TelescopeParameter traitlets.
config: traitlets.loader.Config
Configuration specified by config file or cmdline arguments.
Used to set traitlet values.
This is mutually exclusive with passing a ``parent``.
parent: ctapipe.core.Component or ctapipe.core.Tool
Parent of this component in the configuration hierarchy,
this is mutually exclusive with passing ``config``
data_volume_reducer: ctapipe.image.reducer.DataVolumeReducer
The DataVolumeReducer to use.
This is used to override the options from the config system
and to enable passing a preconfigured reducer.
image_extractor: ctapipe.image.extractor.ImageExtractor
The ImageExtractor to use. If None, the default via the
configuration system will be constructed.
"""
super().__init__(subarray=subarray,
config=config,
parent=parent,
**kwargs)
self.subarray = subarray
self._r1_empty_warn = False
self._dl0_empty_warn = False
self.image_extractors = {}
if image_extractor is None:
for (_, _, name) in self.image_extractor_type:
self.image_extractors[name] = ImageExtractor.from_name(
name, subarray=self.subarray, parent=self)
else:
name = image_extractor.__class__.__name__
self.image_extractor_type = [("type", "*", name)]
self.image_extractors[name] = image_extractor
if data_volume_reducer is None:
self.data_volume_reducer = DataVolumeReducer.from_name(
self.data_volume_reducer_type,
subarray=self.subarray,
parent=self)
else:
self.data_volume_reducer = data_volume_reducer
def __init__(self, subarray, **kwargs):
"""
Parameters
----------
reducer_product : ctapipe.image.reducer.DataVolumeReducer
The DataVolumeReducer to use. If None, then
NullDataVolumeReducer will be used by default, and waveforms
will not be reduced.
extractor_product : ctapipe.image.extractor.ImageExtractor
The ImageExtractor to use. If None, then LocalPeakWindowSum
will be used by default.
calibration_path :
Path to LST calibration file to get the pedestal and flat-field corrections
kwargs
"""
super().__init__(subarray, **kwargs)
# load the waveform charge extractor
self.image_extractor = ImageExtractor.from_name(self.extractor_product,
subarray=self.subarray,
config=self.config)
self.log.info(f"extractor {self.extractor_product}")
print("EXTRACTOR", self.image_extractor)
self.data_volume_reducer = DataVolumeReducer.from_name(
self.reducer_product, subarray=self.subarray, config=self.config)
self.log.info(f" {self.reducer_product}")
# declare gain selector if the threshold is defined
if self.gain_threshold:
self.gain_selector = gainselection.ThresholdGainSelector(
threshold=self.gain_threshold)
# declare time calibrator if correction file exist
if os.path.exists(self.time_calibration_path):
self.time_corrector = PulseTimeCorrection(
calib_file_path=self.time_calibration_path)
else:
raise IOError(
f"Time calibration file {self.time_calibration_path} not found!"
)
# calibration data container
self.mon_data = MonitoringContainer()
# initialize the MonitoringContainer() for the moment it reads it from a hdf5 file
self._initialize_correction()
self.log.info(f"Global charge scale {self.charge_scale}")