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CLIC\SOLVE AMPLITUDE [/PLOT] [/BREAK ...] [/POLYNOMIAL...]
[/WEIGHT]
This will fit a mathematical function into the measured amplitude of
the sources in the current index (presumably calibrators). This data
must have been selected and plotted in axes : SET X TIME and SET Y
AMPLITUDE for the baselines and bands of interest, specified by the
corresponding SET commands. The calibration function is kept in memory.
Command STORE should be used next to store this function in the header
of source observations, after a change in the index to select the
appropriate scans.
In antenna mode the averaged phase and amplitude closures are computed,
as well as their standard deviations. The phase closures should be close
to zero, while the amplitude closures should be close to 100%. Strong
deviations of amplitude closures from 100% are an indication of
amplitude loss on long baselines, due to phase decorrelation during the
time averaging. The fit then shows strong systematic errors; if this
occurs, baseline based calibration of the amplitudes might be preferred.
Option /PLOT will plot the fitted curve over the data.
Fitted curves may be of two kinds:
- Cubic splines (the default). By default knots are regularly spaced
with an interval between knots set by the SET STEP command.
Additional knots may be introduced with the option: /BREAK kind time
[kind time ...] a break introduced at abscissa 'time' ; 'kind' is an
integer in the range 0-3; 0 means that a discontinuity will be present,
1 that the first derivative will be discontinuous, and so on.
Several breaks may be introduced; the program will detect an error if
too many breaks are introduced, compared to the density of data
points.
- Polynomial curves may be used instead. For this the option is:
/POLYNOMIAL [degree] indicating the degree of the polynomial (default
0).
Normally the data points are all assigned the same weight for the fit.
With option /WEIGHT, the data points are weighted according to their
errors. Errors are set to the statistical errors for the
amplitudes.
lucas@iram.fr