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For k `real' incoherent sources, observed with a `real' telescope, equ 1 becomes:
The visibility vector
is integrated over the extent of
the sources (
d
d
), over the integration time (
d
) and over the channel bandwidth (
d
). Integration
over the aperture (
d
d
) is taken care of by the
primary beam properties.
There are only four integration coordinates, whose units are
determined by the flux density units in which
is expressed:
energy/sec/Hz/beam. These coordinates define a 4-dimensional
`integration cell'. If the variation of
(
,
,
,
)
is linear over this cell, integration is not necessary:
in which
is the value for source k at the centre of
the cell, for
= 1 Hz and
= 1 sec. If the
variation of
(
,
,
,
) over the cell can be
approximated by a polynomial of order
3, then it is sufficient
to calculate only the 2nd derivative(s) at the centre of the cell:
Here it is assumed that the 2nd derivatives are be constant over the
cell, i.e. the cross-derivatives
are zero.
Until now, we have assumed that all instrumental effects could be factored into feed-based contributions, i.e. we have ignored any interferometer-based effects. This is justified for a well-designed system, provided that the signal-to-noise ratio is large enough (thermal noise causes interferometer-based errors, albeit with a an average of zero). However, if systematic errors do occur, they can be modelled:
The 4 x 4 diagonal matrix , the `Correlator matrix',
represents interferometer-based corrections that are applied to the
uv-data in software by the on-line system. Examples are the Van Vleck
correction. In the newest correlators, it approaches a constant
(
).
The 4 x 4 diagonal matrix
represents multiplicative interferometer-based effects.
The 4-element vector
represents additive
interferometer-based effects. Examples are receiver noise, and
correlator offsets.
In some cases, interferometer-based effects can be calibrated, e.g. when they appear to be constant in time. It will be interesting to see how many of them will disappear as a result of better modelling with the Measurement Equation. In any case, it is desirable that the cause of interferometer-based effects is properly understood (simulation!).