Morphological classification of galaxies and its relation to physical properties
Identifieur interne : 007235 ( Main/Exploration ); précédent : 007234; suivant : 007236Morphological classification of galaxies and its relation to physical properties
Auteurs : D. B. Wijesinghe [Australie] ; A. M. Hopkins [Australie] ; B. C. Kelly [États-Unis, Australie] ; N. Welikala [France] ; A. J. Connolly [États-Unis]Source :
- Monthly Notices of the Royal Astronomical Society [ 0035-8711 ] ; 2010-06-01.
Descripteurs français
- Pascal (Inist)
- Wicri :
- topic : Classification.
English descriptors
- KwdEn :
- Asymmetry, Asymmetry parameter, Asymmetry parameters, Classification, Clumpiness, Clumpiness parameter, Colour, Complete sample, Concentration asymmetry clumpiness, Conselice, Galaxies, Galaxy, Galaxy evolution, Galaxy formation, Galaxy images, Galaxy morphology, High asymmetries, Higher correlation, Hubble, Image analysis, Image method, Journal compilation, Kelly, Kelly mckay, Light distribution, Light distributions, Mckay, Metallicity, Mnras, Morphological properties, Morphology, Multiwavelength, Multiwavelength images, Optical light distribution, Original image, Parameter, Patchy, Photometric, Physical parameters, Physical properties, Physical property, Principal components, Redshift, Redshift bins, Redshift ranges, Refregier, Regression analysis, Shapelet, Shapelet decomposition, Shapelets, Singular values, Sky surveys, Spatial distribution, Stellar population, Welikala.
- Teeft :
- Asymmetry, Asymmetry parameter, Asymmetry parameters, Clumpiness, Clumpiness parameter, Colour, Complete sample, Concentration asymmetry clumpiness, Conselice, Galaxy, Galaxy images, Galaxy morphology, High asymmetries, Higher correlation, Hubble, Journal compilation, Kelly, Kelly mckay, Light distribution, Light distributions, Mckay, Metallicity, Mnras, Morphological properties, Morphology, Multiwavelength, Multiwavelength images, Optical light distribution, Original image, Parameter, Patchy, Photometric, Physical parameters, Physical properties, Physical property, Principal components, Redshift, Redshift bins, Redshift ranges, Refregier, Regression analysis, Shapelet, Shapelet decomposition, Shapelets, Singular values, Spatial distribution, Stellar population, Welikala.
Abstract
We extend a recently developed galaxy morphology classification method, Quantitative Multiwavelength Morphology (QMM), to connect galaxy morphologies to their underlying physical properties. The traditional classification of galaxies approaches the problem separately through either morphological classification or, in more recent times, analysis of physical properties. A combined approach has significant potential in producing a consistent and accurate classification scheme as well as shedding light on the origin and evolution of galaxy morphology. Here, we present an analysis of a volume‐limited sample of 31 703 galaxies from the fourth data release of the Sloan Digital Sky Survey. We use an image analysis method called Pixel‐z to extract the underlying physical properties of the galaxies, which is then quantified using the concentration, asymmetry and clumpiness parameters. The galaxies also have their multiwavelength morphologies quantified using QMM, and these results are then related to the distributed physical properties through a regression analysis. We show that this method can be used to relate the spatial distribution of physical properties with the morphological properties of galaxies.
Url:
- https://api.istex.fr/document/3545851C269429105F38C900E73C9A581E4D54E2/fulltext/pdf
- https://api.istex.fr/document/CE064B9C1602C553D2FADA868CD84484D7F22888/fulltext/pdf
DOI: 10.1111/j.1365-2966.2010.16424.x
Affiliations:
- Australie, France, États-Unis
- Massachusetts, Nouvelle-Galles du Sud, Washington (État)
- Seattle, Sydney
- Université de Sydney, Université de Washington
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<front><div type="abstract" xml:lang="en">We extend a recently developed galaxy morphology classification method, Quantitative Multiwavelength Morphology (QMM), to connect galaxy morphologies to their underlying physical properties. The traditional classification of galaxies approaches the problem separately through either morphological classification or, in more recent times, analysis of physical properties. A combined approach has significant potential in producing a consistent and accurate classification scheme as well as shedding light on the origin and evolution of galaxy morphology. Here, we present an analysis of a volume‐limited sample of 31 703 galaxies from the fourth data release of the Sloan Digital Sky Survey. We use an image analysis method called Pixel‐z to extract the underlying physical properties of the galaxies, which is then quantified using the concentration, asymmetry and clumpiness parameters. The galaxies also have their multiwavelength morphologies quantified using QMM, and these results are then related to the distributed physical properties through a regression analysis. We show that this method can be used to relate the spatial distribution of physical properties with the morphological properties of galaxies.</div>
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