EventPreparer#

class protopipe.pipeline.EventPreparer(config, subarray, cams_and_foclens, mode, event_cutflow=None, image_cutflow=None, debug=False)[source]#

Bases: object

Class which loop on events and returns results stored in container.

The Class has several purposes. First of all, it prepares the images of the event that will be further use for reconstruction by applying calibration, cleaning and selection. Then, it reconstructs the geometry of the event and then returns image (e.g. Hillas parameters)and event information (e.g. results of the reconstruction).

Parameters

config: dict: Configuration with analysis parameters
mode: str: Mode of the reconstruction, e.g. tail or wave
event_cutflow: ctapipe.utils.CutFlow: Statistic of events processed
image_cutflow: ctapipe.utils.CutFlow: Statistic of images processed
Returns: dict: Dictionnary of results

Initiliaze an EventPreparer object.

Methods Summary

prepare_event(source[, return_stub, ...])

Calibrate, clean and reconstruct the direction of an event.

Methods Documentation

prepare_event(source, return_stub=True, save_images=False, debug=False)[source]#

Calibrate, clean and reconstruct the direction of an event.

Parameters

sourcectapipe.io.EventSource: A container of selected showers from a simtel file.
geom_cam_tel: dict: Dictionary of MyCameraGeometry objects for each camera in the file
return_stubbool: If True, yield also images from events that won’t be reconstructed. This is required for DL1 benchmarking.
save_imagesbool: If True, save photoelectron images from reconstructed events.
debugbool: If True, print debugging information.

Yields

PreparedEvent: dict: Dictionary containing event-image information to be written.

str2bool

ImageCleaner