Preprocessing

ska_sdp_func_python.preprocessing.averaging Module

Functions for averaging visibilities and other affected quantities: In case of averaging in frequency direction flags, weights, channel frequencies, channel weights should be processed accordingly In case of averaging in time direction flags, weights, time, integration time, uvw’s should be processed accordingly.

Functions

averaging_frequency(data, freqstep[, ...])

Averaging in the frequency direction.

averaging_time(data, timestep[, flag_threshold])

Averaging in the time direction.

ska_sdp_func_python.preprocessing.rfi_masks Module

Function for applying RFI masks to the flags

Functions

apply_rfi_masks(data[, rfi_frequency_masks])

Function to convert RFI masks presented in the form of frequency ranges into channel indices and apply them to flags

ska_sdp_func_python.preprocessing.flagger Module

Function for flagging the visibilities using FluctuFlagger

Functions

rfi_flagger(data[, alpha, ...])

This is an interface for the dynamic flagger algorithm (FluctuFlagger) based in SKA Processing Functions Library (PFL) to directely use SKA data model as input and output.