Research & Innovation

Radio telescopes are used to observe our universe and to provide astronomers with detailed images and spectra. We use antenna technology to receive radio signals from the universe. There are different types of antennas: dishes like the Westerbork Synthesis Radio Telescope (WSRT), and dipoles like the Low Frequency Array (LOFAR). We require many antennas to get the sharpest images from very weak signals. Combining the signals from all antennas is called interferometry and requires electronic boards, photonic links, supercomputers and a lot of algorithms and software.

Compact Receivers

Receiver systems in radio astronomy consist of a number of components, starting with the antenna, via a number of discrete electronic components to the digital electronic boards.

Cooling

Radio astronomy is extremely data intensive and cooling of our data centers is required both from the perspective of sustainability as cost.

Accelerators

Many Big Data problems in society require parallel computing of large data streams. Radio Astronomy is one of the most data-intensive science areas today and the technology that we develop is needed in society, e.g., for the smart grid or smart traffic systems.

Calibration and Imaging

Several data processing steps are necessary before data from a radio telescope such as LOFAR can be turned into a scientific image of the sky.

Open Science Cloud

ASTRON is developing a science data centre offering optimal access to the huge amount of radio-astronomical data.

Science Data Centre

The SKA will generate more data than we have processed and analysed ever before. To make this possible, innovation in hardware, software and expertise is crucial.

Technology transfer

Radio astronomy delivers important breakthrough technology for our society. We collaborate intensively with industry to both maximise technology transfer to our partners leading to new jobs and increased competitive edge. Technology examples are Wifi, satellite navigation and big data solutions. Our science is extremely data intensive and the technologies that we deliver drive changes towards a smart society. LOFAR and Westerbork produce more data than is exchanged on the Amsterdam Internet Exchange at peak and the Square Kilometre Array (SKA) will generate more data than the global internet.

Sensitive and stable receivers

Since celestial radio waves are mostly very weak signals, large antennas and extremely sensitive and stable receivers are required. At the same time, these systems should be robust against the increasing man-made radio interference, caused by the boost in mobile broadband connectivity and navigation systems.

Electronic technology is used for transfer and processing of the received signals. This often requires innovative technologies as the data rates are very high. For example, the application of photonic technology in data transport and processing is attractive thanks to its excellent performance in broad bandwidths. Integrating technologies in the analog, digital, electronic, photonic, and mechanical domains is an important development towards our future telescopes as this will lead to more compact systems and will reduce power consumption and cost.

The mechanical properties of the equipment in the field is important as well. Design for robustness including thermal, humidity, and irradiance, ensures a long lifetime in harsh environmental conditions. Design for high wind loads and other environmental conditions should ensure a high accuracy of the instrument under all circumstances.

A challenging factor in the design of large sensor systems is the high quality – low-cost/high-volume requirement. A close and good interaction with a variety of industries is crucial to prepare for mass production of components by industry.

The data from all antennas are combined in dedicated high performance supercomputers using the newest energy efficient accelerator technologies. Calibration algorithms are applied to correct for instrumental effects but also to correct ionospheric distortions. Imaging algorithms applied in pipelines produce high quality image cubes that allow astronomers to do their revolutionary science. The data is archived in open science clouds allowing reuse and increasing science output.

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