Adaptive Real Time Imaging Synthesis Telescopes
Melvyn Wright

TL;DR
This paper presents an adaptive real-time imaging system for radio telescopes that enhances data calibration, beamforming, and imaging, enabling immediate feedback and improved accuracy during observations.
Contribution
It introduces a flexible digital signal processing instrumentation integrated with a computing cluster for real-time calibration and imaging in radio astronomy.
Findings
Real-time calibration improves imaging accuracy.
Adaptive feedback enhances observation quality.
System is accessible for research and development.
Abstract
The digital revolution is transforming astronomy from a data-starved to a data-submerged science. Instruments such as the Atacama Large Millimeter Array (ALMA), the Large Synoptic Survey Telescope (LSST), and the Square Kilometer Array (SKA) will measure their accumulated data in petabytes. The capacity to produce enormous volumes of data must be matched with the computing power to process that data and produce meaningful results. In addition to handling huge data rates, we need adaptive calibration and beamforming to handle atmospheric fluctuations and radio frequency interference, and to provide a user environment which makes the full power of large telescope arrays accessible to both expert and non-expert users. Delayed calibration and analysis limit the science which can be done. To make the best use of both telescope and human resources we must reduce the burden of data reduction.…
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Taxonomy
TopicsRadio Astronomy Observations and Technology · Antenna Design and Optimization · Astrophysics and Cosmic Phenomena
