Galaxy morphology classification using multiscale convolution capsule network
Sign Up to like & getrecommendations! Published in 2023 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stad854
Abstract: Classification of galaxy morphology is a hot issue in astronomical research. Although significant progress has been made in the last decade in classifying galaxy morphology using deep learning technology, there are still some deficiencies in… read more here.
Keywords: classification; capsule network; galaxy morphology;
The role of mergers and halo spin in shaping galaxy morphology
Sign Up to like & getrecommendations! Published in 2017 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stx305
Abstract: Mergers and the spin of the dark matter halo are factors traditionally believed to determine the morphology of galaxies within a $\Lambda$CDM cosmology. We study this hypothesis by considering approximately 18,000 central galaxies at $z=0$… read more here.
Keywords: halo spin; mergers halo; morphology; galaxy morphology ... See more keywords
Morpho-z: improving photometric redshifts with galaxy morphology
Sign Up to like & getrecommendations! Published in 2017 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stx3201
Abstract: We conduct a comprehensive study of the effects of incorporating galaxy morphology information in photometric redshift estimation. Using machine learning methods, we assess the changes in the scatter and outlier fraction of photometric redshifts when… read more here.
Keywords: photometric redshifts; morpho improving; morphology; galaxy morphology ... See more keywords
Galaxy morphology rules out astrophysically relevant Hu-Sawicki f(R) gravity
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DOI: 10.1103/physrevd.102.104060
Abstract: $f(R)$ is a paradigmatic modified gravity theory that typifies extensions to General Relativity with new light degrees of freedom and hence screened fifth forces between masses. These forces produce observable signatures in galaxy morphology, caused… read more here.
Keywords: galaxy; screened fifth; model; galaxy morphology ... See more keywords
Transfer Learning and Deep Metric Learning for Automated Galaxy Morphology Representation
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DOI: 10.1109/access.2022.3150881
Abstract: Galaxy morphology characterisation is an important area of study, as the type and formation of galaxies offer insights into the origin and evolution of the universe. Owing to the increased availability of images of galaxies,… read more here.
Keywords: metric learning; crowd sourced; classification; transfer learning ... See more keywords