Page 2: Research news on Astronomy software

Astronomy software as a research area encompasses the design, development, and validation of computational tools, algorithms, and frameworks that support observational and theoretical astrophysics. It includes pipeline software for data reduction and calibration, source detection and characterization, astrometric and photometric analysis, numerical simulations of astrophysical systems, and visualization and archive interfaces for large survey datasets. Research focuses on methods for handling high-throughput, heterogeneous data streams from ground- and space-based instruments, optimizing performance on high-performance and distributed computing architectures, ensuring reproducibility, and developing interoperable standards and APIs that integrate with virtual observatory infrastructures and community data repositories.

AI unlocks hundreds of cosmic anomalies in Hubble archive

A team of astronomers has employed a cutting-edge, artificial intelligence–assisted technique to uncover rare astronomical phenomena within archived data from NASA's Hubble Space Telescope. The team analyzed nearly 100 million ...

AI model that found 370 exoplanets now digs into TESS data

Scientists have discovered over 6,000 planets that orbit stars other than our sun, known as exoplanets. More than half of these planets were discovered thanks to data from NASA's retired Kepler mission and NASA's current ...

AI tool helps astronomers find supernovae in a sky full of noise

A new AI-powered tool has reduced astronomers' workload by 85%—filtering through thousands of data alerts to identify the few genuine signals caused by supernovae (powerful explosions from dying stars). The findings are published ...

AI drives discovery of new exoplanets in distant systems

Over the course of more than two decades, researchers at the University of Bern have developed the so-called "Bern model," a suite of computer programs that can numerically simulate the formation of planetary systems, thus ...

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