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Astronomical Data Analysis Software and Systems V
ASP Conference Series, Vol. 101, 1996
George H. Jacoby and Jeannette Barnes, eds.

Proposed High Order Harmonic Interferometer for Aperture Synthesis Radio Telescope

Nailong Wu

Dept. of Physics and Astronomy, York University, 4700 Keele St., North York, Ontario, M3J 1P3, Canada

Abstract:

A new type of interferometer, called the High Order Harmonic Interferometer (HOHI), is proposed for imaging by aperture synthesis radio telescopes. Its feasibility is proven by mathematical analysis. Its main merit is that we would be able to increase the resolvability of an antenna array by increasing the observation time but not by extending its maximum baseline.

1. Introduction

In an aperture synthesis radio telescope, a correlator (Figure 1) is used for each baseline to generate a Fourier component of the distribution of power density (brightness) of the field of view in the sky under observation. The map (distribution) is reconstructed by the Fourier transform technique.

The resolvability of a telescope depends mainly on the maximum baseline, although it may be improved to some extent utilizing sophisticated image processing techniques.

In this presentation a new type of interferometer, called the High Order Harmonic Interferometer (HOHI), is proposed to increase the resolvability of a telescope by a factor of n without extending its maximum baseline.

2. Basic Idea and Feasibility of HOHI

In the following one-dimensional notation is used for simplicity and clarity. In Figure 1 for the conventional (base or first harmonic) interferometer (n=1) and Figure 2 for the second harmonic interferometer as an example of HOHI (n=2), () is a baseline, being its maximum; the block M is multiplier, I is integrator (time averager), and the block is phase shifter.

Suppose in the field of view there are K point sources having amplitudes and random phases , . The radiations of angular frequency from a single point source arrive at the angle with respect to the baseline. Then the phase difference is between the two signals in the left and right branches for the baseline , where is the wavelength.

Denote by x and use it as the coordinate. Let , . Use () for the cosinusoidal signals to facilitate calculations. Then the two signals are respectively, ignoring any additional phase shift and amplitude change,

and

where t is the time.

The feasibility of HOHI is shown in the following four subsections. The basic idea, as its name implies, is to generate high order harmonics for each baseline.


Figures: PS 21 Kb

2.1. Operations in the Correlator

The following complex mathematical operations are performed in the n-th order (complex) correlator:

 

where the angular brackets denote time average and ellipses in each of exponents represent the expression in the parentheses of its counterpart .

2.2. Output from the Correlator

Equation (1) can be reduced on the assumption that the point sources are spatially incoherent, i.e., , are independent random phases. For the conventional correlator, n=1, the result is easily found to be

 

The reduction of Equation (1) for is quite complicated. For the second order (complex) correlator C as shown in Figure 2, the result is,

 

Note in the exponent of the first term in the braces.

2.3. Output from the Interferometer

We see in Equation (3) that the output from C consists of the wanted second harmonic and the unwanted cross terms. The latter can be eliminated by operations as shown in the following:

 

The (complex) visibility in Equation (2) represents the base or first harmonic (the spatial frequency being ) while in Equation (4) represents the second harmonic (the frequency being ). In general HOHI of order n at the baseline generates the visibility representing the n-th harmonic (the frequency being ). In this way the maximum baseline is virtually increases by a factor of n: .

HOHI of order n includes the correlators of order up to n and the operations to eliminate the cross terms, namely,

 

2.4. Structure of the Correlator

The correlator of order n can be constructed following calculation rules of complex numbers in the reduction of Equation (1). For example, C in Figure 2 is constructed according to the formula .

3. Discussion

3.1. Continuous Case

In the case of continuous distribution over x in the field of view, Equation (5) becomes

 

where the integration is over the field of view, and is the density such that

3.2. Interpretation of the Results

With the conventional interferometers, from , we reconstruct a map of or , which is power or its density in an ordinary sense. On the other hand, with the second harmonic interferometers, for example, what we reconstruct from , is a map of or , which is ``power-square'' or its density. Their physical meanings are not clear. Then what is the use of the latter map? First, we could extract morphological information from it, taking advantage of higher resolution. Second, we could (approximately) derive a map of or from the map of or . The interpretation of maps would be increasingly more difficult with increasing n.

3.3. Something for Nothing?

We do not get something for nothing. Instead of increasing the maximum baseline, we do pay other prices for higher resolvability. The most important one is the increase of observation time.

While the maximum baseline is ``stretched'' by a factor of n, the increments of baselines are also ``stretched'' by a factor of n. In order to avoid the possible problem of undersampling, the increments after being stretched must be kept as originally designed. This can be achieved, with an antenna array having movable elements, by carrying out more observations at shorter (physical) baselines. That is to say, the higher resolvability is achieved by increasing the observation time proportionally.

4. Concluding Remarks

The theoretical analysis has proven the feasibility of HOHI with the second order as an example. (Analysis for the third order has been completed but is not presented here due to the limited space.) However, much more work remains to be done before putting HOHI in practical use.

Theoretical analysis: Mathematical analysis of HOHI for ; technical details, performance analysis, etc.

Computer simulation: A necessary intermediate stage between the theoretical analysis and practical test.

Practical test: Existing antenna arrays with movable elements are suitable for this purpose, e.g., facilities at DRAO, NRAO and C.S.I.R.O.

Rapid progress in the research can be made provided that sufficient time and necessary financial support are available.

References:

Perley, R. A., Schwab, F. R., & Bridle, A. H. (eds.) 1986, Synthesis Imaging (NRAO)


Next: Image Quality Assessment Using the Modulation Transfer Function
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Wed Jul 3 08:16:41 MST 1996