DL0CameraContainer#
- class ctapipe.containers.DL0CameraContainer(prefix=None, **fields)[source]#
 Bases:
ContainerStorage of data volume reduced dl0 data from a single telescope.
See DL0 Data Model specification: https://redmine.cta-observatory.org/dmsf/files/17552/view
- Attributes:
 - event_typeField(default=EventType.UNKNOWN, type=EventType)
 type of event
- event_timeField(default=0.0)
 event timestamp
- waveformField(default=None)
 numpy array containing data volume reduced p.e. samples(n_channels, n_pixels, n_samples). Note this may be a masked array, if pixels or time slices are zero-suppressed
- pixel_statusField(default=None, dtype=uint8, ndim=1)
 Array of pixel status values, see PixelStatus for definition of the values
- first_cell_idField(default=None, dtype=uint16, ndim=1)
 Array of first cell ids of the readout chips. Only used by LST and SST.
- calibration_monitoring_idField(default=None)
 ID of the CalibrationMonitoringSet containing the applied pre-calibration parameters
- selected_gain_channelField(default=None)
 Numpy array containing the gain channel chosen for each pixel. Note: this should be replaced by only using
pixel_statusShape: (n_pixels)- metadict
 dict of attached metadata
- prefixstr
 Prefix attached to column names when saved to a table or file
Attributes Summary
Attributes Documentation
- calibration_monitoring_id#
 
- default_prefix = 'dl0camera'#
 
- event_time#
 
- event_type#
 
- fields = {'calibration_monitoring_id': Field(default=None), 'event_time': Field(default=0.0), 'event_type': Field(default=EventType.UNKNOWN, type=EventType), 'first_cell_id': Field(default=None, dtype=uint16, ndim=1), 'pixel_status': Field(default=None, dtype=uint8, ndim=1), 'selected_gain_channel': Field(default=None), 'waveform': Field(default=None)}#
 
- first_cell_id#
 
- meta#
 
- pixel_status#
 
- prefix#
 
- selected_gain_channel#
 
- waveform#