Results 131 to 140 of about 11,134,879 (212)
Spitzer Space Telescope Infrared Array Camera imaging provides an opportunity to study all known morphological types of galaxies in the mid-IR at a depth significantly better than ground-based near-infrared and optical images. The goal of this study is to examine the imprint of the de Vaucouleurs classification volume in the 3.6 μm band, which is the ...
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Galaxy Morphology Classification Using Deep Learning
Galaxy morphology is the study of the shape and visual appearance of galaxies, such as spiral, smooth, edge-on, and other morphological types. Morphological classification plays an important role in understanding how galaxies form and evolve over cosmic ...
Kundu Roy, Dipanwita
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Galaxy morphology classification based on Convolutional vision Transformer (CvT)
Context. The classification of galaxy morphology is among the most active fields in astronomical research today. With the development of artificial intelligence technology, deep learning is a useful tool in the classification of the morphology of ...
Zhijing Liu +6 more
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A Novel Sector-Based Algorithm for an Optimized Star-Galaxy Classification [PDF]
This paper introduces a novel sector-based methodology for star-galaxy classification, leveraging the latest Sloan Digital Sky Survey data (SDSS-DR18).
Agarwal, Akshay +2 more
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Genome sequence of <i>Propionimicrobium lymphophilum</i> ARP01 isolated from the human vaginal tract. [PDF]
Peel AR +3 more
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Galaxy Morphology Classification System
Citizen scientists are becoming more and more important in helping professionals working through big data. An example in astronomy is crowd sourced galaxy classification. But how reliable are these classifications for studies of galaxy evolution? We have
Francis, Lennox
core
An objective classification system for spiral galaxies. I The two dominant dimensions
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M. G. Smith, C. Aguirre, M. Zemelman
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The training-discovery paradox: Evidence from citizen science. [PDF]
Ogunseye S +3 more
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