Completed Physics & Astronomy Computing & AI

STFC-iris (jbca fy205/26)

In plain English

AI plain-English summary

The IRIS Federation is installing computing hardware at Jodrell Bank Centre for Astrophysics to process vast streams of telescope data on site. This grant funds the physical placement of servers and data storage at University of Manchester sites, rather than relying solely on remote cloud or centralised supercomputers. The problem is that modern radio telescopes—like those operated by JBCA—generate enormous data volumes that are expensive and slow to move across networks. By putting computing power next to the telescopes, researchers can analyse signals in real time, filtering out noise and identifying transient events such as fast radio bursts before they vanish. If successful, this infrastructure will accelerate discovery in fundamental astrophysics, particularly in time-domain astronomy where split-second decisions matter. The impact is primarily on research efficiency: faster data processing, lower network costs, and the ability to detect rare cosmic phenomena that might otherwise be missed. There is no immediate practical application for everyday life—this is fundamental science. However, similar investments in high-performance computing for astronomy have historically driven advances in data compression, signal processing, and distributed computing that later found uses in telecommunications and medical imaging.

View original technical description
This grant supports IRIS Federation to deliver compute to its science activities by placing hardware at UMAN-JBCA sites.

View the original record at the funder ↗

Researchers

Robert Beswick (Principal Investigator)

Related Research

Grants with similar aims, by meaning.

IRIS H/W Grant GridPP Manchester
IRIS hardware allocation grant for FY19 for Manchester University [JBCA-ICE]
IRIS World Class Labs Hardware Grant 20/21
IRIS Hardware Allocation Grant for FY2020 for the University of Manchester (updated)
IRIS hardware allocation grant for FY2020 for Cambridge University

Original classification

Research Grant

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.