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Please describe the use case that requires this feature.
Calibration events won't be gain selected, as we need to have calibration coefficients for all pixels for all gains.
Describe the solution you'd like
Make ImageExtractors work with non-gain-selected input again
Describe alternatives you've considered
Using a python loop over the gain channels with ManualGainSelector, but that could be much less efficient for ImageExtractors that could easily be vectorized over multiple gain channels.
The text was updated successfully, but these errors were encountered:
a) Want to reintroduce the feature that extractors can work on two gain channels and that should result in two images, one per gain channel
b) R1 and DL0 waveforms should always have the shape (n_channels, n_pixels, n_samples), even if n_channels is 1.
Together with the event type, pixel status and the camera readout, it is then clear whether gain selection has happened or the camera has just one gain.
This commit adds a migration proposal for the flatfield and pedestal components from lstchain into ctapipe.
Shared functionality is moved into a parent component, while the different subcomponents hold the _process() function for the conventional processing of flatfield and pedestal events.
Additional subcomponents with complex proccesing routines of flatfield and pedestal events can be added in the future.
Please describe the use case that requires this feature.
Calibration events won't be gain selected, as we need to have calibration coefficients for all pixels for all gains.
Describe the solution you'd like
Make ImageExtractors work with non-gain-selected input again
Describe alternatives you've considered
Using a python loop over the gain channels with
ManualGainSelector
, but that could be much less efficient forImageExtractors
that could easily be vectorized over multiple gain channels.The text was updated successfully, but these errors were encountered: