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相关论文: A tool for the morphological classification of gal…

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We devise improved photometric parameters for the morphological classification of galaxies using a bright sample from the First Data Release of the Sloan Digital Sky Survey. In addition to using an elliptical aperture concentration index…

We have found the u -r color versus g -i color gradient space can be used for highly successful morphology classification of galaxies in the Sloan Digital Sky Survey. In this space galaxies form early and late type branches well-separated…

天体物理学 · 物理学 2009-11-13 Changbom Park , Yun-Young Choi

The merging cluster of galaxies A2255 is covered by the Sloan Digital Sky Survey (SDSS) survey. In this paper we perform a morphological classification on the basis of the SDSS imaging and spectral data, and investigate the morphological…

天体物理学 · 物理学 2008-11-26 Qirong Yuan , Lifang Zhao , Yanbin Yang , Zhonglue Wen , Xu Zhou

[abridged] New near-infrared surveys, using the HST, offer an unprecedented opportunity to study rest-frame optical galaxy morphologies at z>1 and to calibrate automated morphological parameters that will play a key role in classifying…

Galaxy clusters provide powerful laboratories for the study of galaxy evolution, particularly the origin of correlations of morphology and star formation rate (SFR) with density. We construct visible to MIR spectral energy distributions…

宇宙学与河外天体物理 · 物理学 2015-06-03 David W. Atlee , Paul Martini

Using a sample of galaxies selected from the Sloan Digital Sky Survey Data Release 7 (SDSS DR7) and a catalog of bulge-disk decompositions, we study how the size distribution of galaxies depends on the intrinsic properties of galaxies, such…

星系天体物理 · 物理学 2019-02-25 Youcai Zhang , Xiaohu Yang

We present a classification of galaxies in the Pan-STARRS1 (PS1) 3$\pi$ survey based on their recent star formation history and morphology. Specifically, we train and test two Random Forest (RF) classifiers using photometric features…

高能天体物理现象 · 物理学 2020-10-21 A. Baldeschi , A. Miller , M. Stroh , R. Margutti , D. L. Coppejans

We investigate the photometric properties of 456 bright galaxies using imaging data recorded during the commissioning phase of the Sloan Digital Sky Survey (SDSS). Morphological classification is carried out by correlating results of…

天体物理学 · 物理学 2009-07-09 K. Shimasaku , M. Fukugita , M. Doi , M. Hamabe , T. Ichikawa , S. Okamura , M. Sekiguchi , N. Yasuda

We construct a sample of 75,863 star forming galaxies with robust metallicity and star formation rate measurements from the Sloan Digital Sky Survey Data Release 7 (SDSS DR7), from which we select a clean sample of compact group (CG)…

宇宙学与河外天体物理 · 物理学 2015-06-04 Jillian M. Scudder , Sara L. Ellison , J. Trevor Mendel

We perform a stacking analysis of the HI spectra from the Arecibo Legacy Fast ALFA (ALFALFA) survey for optically-selected local galaxies from the Sloan Digital Sky Survey (SDSS) to study the average gas fraction of galaxies at fixed…

Galaxy morphology is a key parameter in galaxy evolution studies. The enormous number of galaxies which current and future surveys will observe demand of automated methods for morphological classification. Supervised learning techniques…

星系天体物理 · 物理学 2023-02-27 Helena Domínguez Sánchez , Mariangela Bernardi , Marc Huertas-Company

We carry out CCD photometry of galaxies in the 5.25 square region centered on Coma cluster down to $M_R=-16.0$, beyond the limit of conventional morphological classification. We use the angular two-point correlation function as well as…

天体物理学 · 物理学 2009-10-30 N. Kashikawa , M. Sekiguchi , M. Doi , Y. Komiyama , S. Okamura , K. Shimasaku , M. Yagi , N. Yasuda

We present a quantitative method to classify galaxies, based on multi-wavelength data and elaborated from the properties of nearby galaxies. Our objective is to define an evolutionary method that can be used for low and high redshift…

天体物理学 · 物理学 2017-03-29 Sebastien Lauger , Denis Burgarella , Veronique Buat

Using a mass-limited sample of 24um-detected, star-forming galaxies at 0.5<z<1.3, we study the mass-star formation rate (SFR) correlation and its tightness. The correlation is well defined (sigma=0.28dex) for disk galaxies (n_sersic<1.5),…

宇宙学与河外天体物理 · 物理学 2015-06-05 F. Salmi , E. Daddi , D. Elbaz , M. Sargent , M. Dickinson , A. Renzini , M. Bethermin , D. Le Borgne

The traditional method of morphological classification, by visual inspection of images of uniform quality and by reference to standards for each type, is critically examined. The rate of agreement among traditional morphologists on the…

天体物理学 · 物理学 2007-05-23 Stefano Andreon , Emmanuel Davoust

The results of morphological galaxy classifications performed by humans and by automated methods are compared. In particular, a comparison is made between the eyeball classifications of 454 galaxies in the Sloan Digital Sky Survey (SDSS)…

天体物理学 · 物理学 2007-05-23 Nicholas M. Ball

The pace at which galaxies grew into their current stellar masses and how this growth is regulated is still not fully understood, nor is the role that morphology plays in this process. We applied full spectral fitting techniques with…

星系天体物理 · 物理学 2025-11-14 A. Camps-Fariña , R. M. Mérida , P. Sánchez Blázquez , S. F. Sánchez

In this second of a series of papers on spatially resolved star formation, we investigate the impact of the density-morphology relation of galaxies on the spatial variation of star formation (SF) and its dependence on environment. We find…

星系天体物理 · 物理学 2009-08-05 Niraj Welikala , Andrew J. Connolly , Andrew M. Hopkins , Ryan Scranton

The morphology of galaxies can be quantified to some degree using a set of scale-invariant parameters. Concentration (C), Asymmetry (A), Smoothness (S), the Gini index (G), relative contribution of the brightest pixels to the second order…

We present a preliminary study exploring whether the stellar orbital circularity of simulated galaxies, available from precomputed catalogs in the IllustrisTNG project, can be used as a proxy for broad morphological classification. We focus…

星系天体物理 · 物理学 2025-06-26 Katarina Baucalo , Ana Mitrašinović
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