World’s largest telescope network activated

By IANS,

Washington : The largest-ever telescope network has been activated. It stretches 11,000 km across North and South America, Europe and Africa, and will simultaneously observe the same objects.


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The telescopes are all members of the Express Production Real-time e-VLBI Service (EXPReS) project, and became functional when the Arecibo Observatory of the National Science Foundation in Puerto Rico joined the network June 6, a press release said Tuesday.

A live demonstration of the first four-continent, real-time, electronic Very Long Baseline Interferometry (e-VLBI) observations by the telescopes was first held May 22.

VLBI uses multiple radio telescopes to simultaneously observe the same region of sky – essentially creating a giant instrument as big as the separation of the dishes.

VLBI can generate images of cosmic radio sources with up to 100 times better resolution than images from the best optical telescopes.

The results were immediately transmitted to Belgium, where they were shown as part of the 2008 Trans-European Research and Education Networking Association Conference.

The Arecibo Observatory of the National Science Foundation in Puerto Rico called the demonstration a major milestone in the telescope’s e-VLBI participation, with a data-streaming rate to the central signal processor at the Joint Institute for VLBI in Europe (JIVE) in the Netherlands four times higher than Arecibo had previously achieved.

“These results are very significant for the advance of radio astronomy,” said JIVE director Huib Jan van Langevelde.

“It shows not only that telescopes of the future can be developed in worldwide collaboration, but that they can also be operated as truly global instruments.”

EXPReS, funded by the European Commission, aims to connect up to 16 of the world’s most sensitive radio telescopes to the JIVE processor to correlate VLBI data in real time.

This replaces the traditional VLBI method of shipping data on disk and provides astronomers with observational data in a matter of hours rather than weeks, allowing them to respond rapidly to transient events with follow-up observations.

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