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 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 ...

Calibrating CubeSat constellations just got easier

CubeSats have a lot of advantages. They are small, inexpensive, and easily reproducible. But those advantages also come with significant disadvantages—they have trouble linking into broader constellations that allow them ...

AI and astronomy: Neural networks simulate solar observations

Research by astronomers and computer scientists at the University of Hawaiʻi Institute for Astronomy (IfA) could revolutionize our understanding of the sun. The study, part of the "SPIn4D" project, combines cutting-edge solar ...

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