SigmaClippingAggregator#

class ctapipe.monitoring.SigmaClippingAggregator(*args: t.Any, **kwargs: t.Any)[source]#

Compute aggregated statistic values from a chunk of event-wise data using astropy’s sigma clipping functions.

Works with any N-dimensional event-wise data by aggregating along axis=0 (event dimension) while removing outliers using sigma clipping.

Attributes Summary

`iterations`	Number of iterations for the sigma clipping outlier removal
`max_sigma`	Maximal value for the sigma clipping outlier removal

Methods Summary

compute_stats(data, masked_elements_of_sample)

Compute aggregated statistics for a chunk of data.

Attributes Documentation

Methods Documentation

compute_stats(data, masked_elements_of_sample) → ChunkStatisticsContainer[source]#

Compute aggregated statistics for a chunk of data.

Parameters:

datandarray: Event-wise data of shape (n_events, *data_dimensions)
masked_elements_of_samplendarray, optional: Boolean mask of shape (*data_dimensions) for elements to exclude

Returns: