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Likhachev, S. F. 2003, in ASP Conf. Ser., Vol. 295 Astronomical Data Analysis Software and Systems XII, eds. H. E. Payne, R. I. Jedrzejewski, & R. N.
Hook (San Francisco: ASP), 191
Generalized Self-Calibration for Space VLBI Image Reconstruction
Sergey F. Likhachev
Astro Space Center, Profsojuznaya 84/32, GSP-7, 117997,
Moscow, Russia
Abstract:
Generalized self-calibration (GSC) algorithm as a solution of a
non-linear optimization problem is considered. The algorithm allows
to work easily with the first and the second derivatives
of a visibility function phases and amplitudes. This approach
is important for high orbiting Space VLBI data processing. The
implementation of the GSC-algorithm for radio astronomy image restoration
is shown. The comparison with other self-calibration algorithms
is demonstrated. The GSC-algorithm was implemented in the radio
astronomy imaging software project Astro Space Locator (ASL) for Windows
developed at the Astro Space Center.
Definition 1.1. A space of complex functions dual
to the brightness distribution and risen by an
operator , is called a space of visibility functions or
spatial coherency.
|
(1) |
Definition 1.2. Let us define an object as a domain of the Universe that
is a subject of the investigation whose brightness distribution could be
represented as a 2-D function with infinite spatial frequency spectra.
Definition 1.3. Let us define an image of the object as a result of creation
by unknown spatial brightness distribution
(the object) of an illumination distribution
i.e.,
In other words, we have an original object located somewhere in the
space (Universe) and we can observe only some projection of this object
on this space. For example, one of the projections of the object can
be its electromagnetic emission of the object in a given spectral band
and in a given moment of time.
Let us consider a metrics
|
(2) |
where is a measurements of the visibility function
and is an approximating function.
There exist a few possible approximating functions:
- Orthogonal approximation:
If is a Fourier basis, the orthogonal approximation
is known in VLBI as a CLEAN algorithm.
- Bi-orthogonal approximation:
If is a 2-D complex function (a model), the bi-orthogonal
approximation is known in VLBI as a self-calibration algorithm.
- Non-parametrical approximation:
(known in VLBI as a MEM algorithm).
- Mathematical programming approximation:
(known in VLBI as a so-called NNLS algorithm).
Let us consider an expression
|
(3) |
where
,
,
visibility matrix was measured on the baseline
for a given moment of time and
frequency ,
,
true visibility function for the baseline
,
for a given moment of time and
frequency ,
,
additive noise.
Let us consider a discrepancy
|
(4) |
It is necessary to obtain:
|
(5) |
where
is a model of
,
is upper triangular matrix with
.
The solution
obtained on the basis generalized Newton's
algorithm with pseudo-inversion.
Let us represent a complex function
as a time series in the neighborhood of a point
. Then
Let us introduce the following notations:
- let us call
as a fringe rate;
- let us call
as a fringe delay.
Both values are complex ones and can be represented as
Example. If
(no amplitude calibration) then
and obtain a well-known expression for phase calibration (see Schwab 1981).
A value
describes derivatives of the second order that is necessary to take
into account for Space VLBI imaging.
Definition 5.1. If for any three radio telescopes
- there exists its closing, i.e.,
- any two baselines
- and
then the VLBI can be called high orbiting space VLBI.
In case of a High Orbiting SVLB mission a good (u,v)-coverage does not
guarantee high quality images because
is an ``apogee phase gap.''
The software project, Astro Space Locator (ASL) for Windows
9x/NT/2000 (code name ASL_Spider 1.0) is developed by
the Laboratory for Mathematical
Methods
of the ASC to
provide a free software package for VLBI data processing. We used the
Microsoft Windows NT/2000 and MS Visual C++ 6.0 on IBM compatible PCs
as the platform from which to make data processing and reconstruction
of VLBI images.
A generalized self-calibration (GSC) algorithm was developed. The solution was obtained as a
non-linear optimization in the Hilbert space .
GCS describes not only the first derivatives but also of the second derivatives that is
necessary to take into account for Space VLBI imaging.
A global fringe fitting procedure is just an initialization (zero iteration) of GSC.
GSC allows to obtain more stable and reliable results than traditional self-calibration algorithms.
References
Schwab, F. R. 1981, VLA Scientific Memorandum, No. 136, NRAO
© Copyright 2003 Astronomical Society of the Pacific, 390 Ashton Avenue, San Francisco, California 94112, USA
Next: Calibration of BIMA Data in AIPS++
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Previous: Uncertainty Estimation and Propagation in SIRTF Pipelines
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