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astro-ph.IM2026
LStein: A new approach to visualizing sparse 2.5-dimensional data
Lukas Steinwender, Anais Möller, Christopher J. Fluke
Visualization of high-dimensional data is crucial to retrieve all the knowledge that is contained within a dataset. Effective and informative presentation of three-dimensional data…
astro-ph.IM2025
A Machine Learning empowered search for Sub-Minute Optical Transient Events with the Deeper, Wider, Faster programme
Simon R. Goode, Sara A. Webb, Jeff Cooke +12
Optical transient surveys continue to generate increasingly large datasets, prompting the introduction of machine-learning algorithms to search for quality transient candidates eff…
astro-ph.IM2024
How Do Observational Astronomers Learn to Inspect Imaging Data
Hugo Walsh, Christopher Fluke, Sara Webb +1
Astronomy is entering an unprecedented era of data collection. Upcoming large surveys will gather more data than ever before, generated at rates requiring real-time decision making…