despike_multi_resolution¶
- sofia_redux.scan.integration.integration_numba_functions.despike_multi_resolution(timestream_data, timestream_weight, sample_flags, channel_indices, frame_valid, level, spike_flag, max_block_size)[source]¶
A Numba function to despike frame samples using multi-resolution method.
This is a fast implementation of the despiking resolution method. Please see
despike_multi_resolution
for a detailed explanation.- Parameters:
- timestream_datanumpy.ndarray (float)
The time-stream data of shape (n_frames, channel_indices.size) containing sample_data * relative_weight values. Invalid samples have 0 values.
- timestream_weightnumpy.ndarray (float)
The time-stream weights of shape (n_frames, channel_indices.size) containing relative_weight values. Invalid samples have 0 values.
- sample_flagsnumpy.ndarray (int)
The sample flags of shape (n_frames, n_channels).
- channel_indicesnumpy.ndarray (int)
The channel indices for which to perform the despiking. An array of shape (channel_indices.size,).
- frame_validnumpy.ndarray (bool)
A boolean mask of shape (n_frames,) where
True
indicates that a frame is valid and may be included in the calculation.- levelfloat
The sigma level above which spike flagging occurs.
- spike_flagint
The spike flag integer identifier.
- max_block_sizeint
The maximum block size which determines the minimum resolution. This should be no larger than n_frames // 2 and no smaller than 1.
- Returns:
- n_flaggedint
The number of samples flagged as spikes.