From the 6 of 90 papers with an AI index.
11 citations
- National Astronomical ObservatoriesCN14 papers
- Chinese Academy of SciencesCN13 papers
- University of Chinese Academy of SciencesCN13 papers
- Nanjing UniversityCN11 papers
- National Institute for AstrophysicsIT11 papers
- University of CambridgeGB10 papers
- Institute of AstronomyRU9 papers
- Instituto de Astrofísica de CanariasES9 papers
- University of GenevaCH9 papers
- National Astronomical Observatory of JapanJP8 papers
- Astronomical Institute of the Slovak Academy of SciencesSK7 papers
- California Institute of TechnologyUS7 papers
6 papers · 1 filter
SNIFFLES I: Intended Emission, Unwanted Emission, and Unintended Radiation from Low-Earth Orbiting Satellites Impacting Radio Astronomy from 1-26 GHz
Balthasar Indermuehle, Liroy Lourenco
We present the first results of SNIFFLES, an ongoing observational programme to characterise intended emission, unwanted emission, and unintended radiation from NGSO systems across…
Early Exploration of the Scientific Discovery Space for the Habitable Worlds Observatory
Courtney D. Dressing, Danica Adams, Evelyne Alecian +324
The paper summarizes 70 science cases for the proposed NASA Habitable Worlds Observatory, outlining the observational needs across four scientific pillars and detailing required ca…
PIE-ADA: Physics-Informed Ensemble with Adaptive Data Augmentation for Photometric Transient Classification
Deba Priyo Guha, Fariya Tabassum
The upcoming Large Synoptic Survey Telescope (LSST) is expected to observe approximately 10 million astronomical transient events per night, creating an urgent need for automated c…
Classification of Eclipsing Binary Light Curves in Gaia DR3: A Machine Learning Approach
Bedri Keskin, Ãzgür BaÅtürk
Gaia Data Release 3 (DR3) presents a unique dataset with approximately 2.1 million eclipsing binary star candidates. The unsustainability of manually classifying such a large volum…
Recalibration of SDSS photometric zero-points based on the InfraRed Flux Method temperature scale
Zenghua Zhou, Luca Casagrande, Heran Xiong +4
Accurate photometric zero-points are essential for translating observed magnitudes into physical fluxes, from comparing with models to ensuring consistency across surveys. We deter…
RGC: a radio AGN classifier based on deep learning. I. A semi-supervised multiclass model for VLA images
M. S. Hossain, M. S. H. Shahal, K. M. B. Asad +10
Bent radio active galactic nuclei (RAGNs) -- wide-angle tails (WATs) and narrow-angle tails (NATs) -- trace dense environments in galaxy groups and clusters, yet no multiclass clas…