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174 papers · 1 filter
A ready-to-deploy MLOps software platform for satellite and NEO detection at meter-class ground-based observatories
Rafael Carrillo Navarro, Pablo García-Martín, René Duffard +2
Ground-based astronomical observations frequently contain streaks produced by artificial satellites, space debris, and potentially Near-Earth Objects (NEOs). While machine-learning…
Towards High-Throughput Visible Photonic Lanterns for the EMARCOT Project
Abani Shankar Nayak, Julius Goehring, Marina Centenera-Merino +14
Photonic EMARCOT is an innovative project involving Spanish, German and Australian research institutes that aims to integrate multiple Optical Tube Assemblies (OTAs) using photonic…
Towards the exploration of astrophysical datacubes through volumetric rendering within CARTA
Ixaka Labadie-García, Adrianna Pińska, Angus Comrie +5
Data products from astrophysical observations may contain three or more dimensions: most commonly two spatial dimensions and a third spectral dimension, and possibly additional axe…
Early Exploration of the Scientific Discovery Space for the Habitable Worlds Observatory
Courtney D. Dressing, Danica Adams, Evelyne Alecian +324
The Habitable Worlds Observatory (HWO) is a future NASA flagship mission concept identified by the Astro2020 Decadal Survey as the highest priority for large space missions. HWO sh…
Modeling Doppler Shifts in Radial-Velocity Data with Deep Learning toward Earth-mass Exoplanet Detection
Isidro Gómez-Vargas, Xavier Dumusque, Yinan Zhao +2
Detecting the tiny Doppler shifts induced by Earth-mass planets in stellar radial-velocity measurements remains extremely challenging due to stellar activity. Many deep-learning me…
StreakMind: AI detection and analysis of satellite streaks in astronomical images with automated database integration
Rafael Carrillo Navarro, René Duffard, Pablo García-Martín +3
Artificial satellites and space debris increasingly contaminate astronomical images, affecting scientific surveys and producing large volumes of streaked exposures. Manual inspecti…