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DSB2SSB\DECONVOLVE Tolerance Itmax [Lambda1 [Lambda2 [Lambda3]]]
[/GAIN [First_Guess]] [/KEEP]
Deconvolves DSB dataset loaded with INITIALIZE into SSB spectrum. Mini-
mizes the function:
Chi^2 - lambda1 F1 - lambda2 F2
until either the difference in Chi^2 between the iterations is less than
the Tolerance, or the maximum number of iterations Itmax has been
Chi^2 = Sum (dsb - ssb_lsb*gain_lsb - ssb_usb*gain_usb)^2
/(weight * nu)
F1 : entropy of the channels.
F1 = - Sum ssb/SSB * log ssb/SSB
F2 : entropy of the gains.
F2 = - Sum gain_ssb/e * log gain_ssb/e
dsb - double sideband data
ssb - single sideband data
gain - gain of single sideband data
weight - T_sys^2/(integrationime * bandwidth)
nu - number of free parameters:
dsb_channels - ssb_channels - sideband_gains
SSB - Sum ssb
If Lambda1 or Lambda2 or Lambda3 are not specified, they are set to 0
and the algorithm does NOT try to maximize the entropy term.
By default the deconvolution makes no attempt at fitting the sideband
gains, unless the option /GAIN is specified.