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arxiv: 0901.4901 · v1 · submitted 2009-01-30 · 🌌 astro-ph.IM

A Minimum Variance Method for Problems in Radio Antenna Placement

classification 🌌 astro-ph.IM
keywords antennasradiogoodimagesmethodminimumplacementproblems
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Aperture synthesis radio telescopes generate images of celestial bodies from data obtained from several radio antennas. Placement of these antennas has always been a source of interesting problems. Often, several potentially contradictory objectives like good image quality and low infra-structural cost have to be satisfied simultaneously. In this paper, we propose a general Minimum Variance Method that focuses on obtaining good images in the presence of limiting situations. We show its versatility and goodness in three different situations: (a) Placing the antennas on the ground to get a target Gaussian UV distribution (b) Staggering the construction of a telescope in the event of staggered budgets and (c) Whenever available, using the mobility of antennas to obtain a high degree of fault tolerance.

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