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Workspace Method jacobianAddPolyfit

Description

Includes polynomial baseline fit in the Jacobian.

This method deals with retrieval of disturbances of the spectra
that can be described by an addidative term, a baseline off-set.

The baseline off-set is here modelled as a polynomial. The
polynomial spans the complete frequency range spanned by
sensor_response_f_grid and the method should only of interest for
cases with no frequency gap in the spectra. The default assumption
is that the off-set differs between all spectra, but it can also be
assumed that the off-set is common for all e.g. line-of-sights.

Authors: Patrick Eriksson

Synopsis

jacobianAddPolyfit( jacobian_quantities, jacobian_agenda, sensor_response_pol_grid, sensor_response_za_grid, sensor_pos, poly_order, no_pol_variation, no_los_variation, no_mblock_variation )

Variables

OUT+INjacobian_quantities(ArrayOfRetrievalQuantity)The retrieval quantities in the Jacobian matrix.
OUT+INjacobian_agenda(Agenda)See agendas.cc.
INsensor_response_pol_grid(ArrayOfIndex)The "polarisation grid" associated with sensor_response.
INsensor_response_za_grid(Vector)The zenith angle grid associated with sensor_response.
INsensor_pos(Matrix)The sensor position for each measurement block.
GINpoly_order(Index)Polynomial order to use for the fit.
GINno_pol_variation(Index, Default: 0)Set to 1 if the baseline off-set is the same for all Stokes components.
GINno_los_variation(Index, Default: 0)Set to 1 if the baseline off-set is the same for all line-of-sights (inside each measurement block).
GINno_mblock_variation(Index, Default: 0)Set to 1 if the baseline off-set is the same for all measurement blocks.