sensor_responseFrequencySwitching

Workspace.sensor_responseFrequencySwitching(self: pyarts.arts._Workspace, sensor_response: pyarts.arts.WorkspaceVariable | pyarts.arts.Sparse | None = self.sensor_response, sensor_response_f: pyarts.arts.WorkspaceVariable | pyarts.arts.Vector | None = self.sensor_response_f, sensor_response_pol: pyarts.arts.WorkspaceVariable | pyarts.arts.ArrayOfIndex | None = self.sensor_response_pol, sensor_response_dlos: pyarts.arts.WorkspaceVariable | pyarts.arts.Matrix | None = self.sensor_response_dlos, sensor_response_f_grid: pyarts.arts.WorkspaceVariable | pyarts.arts.Vector | None = self.sensor_response_f_grid, sensor_response_pol_grid: pyarts.arts.WorkspaceVariable | pyarts.arts.ArrayOfIndex | None = self.sensor_response_pol_grid, sensor_response_dlos_grid: pyarts.arts.WorkspaceVariable | pyarts.arts.Matrix | None = self.sensor_response_dlos_grid, verbosity: pyarts.arts.WorkspaceVariable | pyarts.arts.Verbosity | None = self.verbosity) None

Simulation of “frequency switching”.

A general method for frequency switching. The WSM sensor_responseBackendFrequencySwitching() gives a description of this observation technique, and is also a more straightforward method for pure singel sideband cases.

It is here assume that sensor_responseMultiMixerBackend() has been used to calculate the spectrum for two LO positions. This method calculates the difference between these two spectra, where the second spectrum gets weight 1 and the first weight -1 (as in sensor_responseBackendFrequencySwitching()).

Output frequency grids are taken from the second spectrum.

Author(s): Patrick Eriksson

Parameters: