Enhanced astronomical source classification with integration of attention mechanisms and vision transformers

Accurate classification of celestial objects is essential for advancing our understanding of the universe. MargNet is a recently developed deep learning-based classifier applied to the Sloan Digital Sky Survey (SDSS) Data Release 16 (DR16) dataset to segregate stars, quasars, and compact galaxies us...

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Veröffentlicht in:	Astrophysics and space science 2024-08, Vol.369 (8), p.92, Article 92
Hauptverfasser:	Bhavanam, Srinadh Reddy, Channappayya, Sumohana S., P. K, Srijith, Desai, Shantanu
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Astrobiology Astronomical models Astronomy Astrophysics and Astroparticles Celestial bodies Classification Compact galaxies Cosmology Datasets Deep learning Faint objects Galaxies Image classification Image enhancement Machine learning Neural networks Observations and Techniques Photometry Physics Physics and Astronomy Quasars Sky surveys (astronomy) Space Exploration and Astronautics Space Sciences (including Extraterrestrial Physics Stars & galaxies Task complexity
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