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相关论文: Galaxy Structural Parameters in Source Extractor

200 篇论文

In this paper we define an observationally robust, multi-parameter space for the classification of nearby and distant galaxies. The parameters include luminosity, color, and the image-structure parameters: size, image concentration,…

天体物理学 · 物理学 2009-10-31 Matthew A. Bershady , Anna Jangren , Christopher J. Conselice

We present a quantitative analysis of the morphologies for 199 nearby galaxies as parameterized with measurements of the concentration, asymmetry, and clumpiness (CAS) parameters at wavelengths from 0.15-0.85 micrometers. We find that these…

天体物理学 · 物理学 2011-02-11 Violet Taylor-Mager , Christopher Conselice , Rogier Windhorst , Rolf Jansen

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 present a structural analysis of 521 galaxy candidates at 6.5 < z < 12.5, with $SNR > 10\sigma$ in the F444W filter, taken from the EPOCHS v1 sample, consisting of uniformly reduced deep JWST NIRCam data, covering the CEERS, JADES…

Components of large-scale structure (LSS) of Universe includes galaxy clusters, walls, filaments, groups and field galaxies. The question of spatial organization of all these components remains open despite of a number of recently developed…

宇宙学与河外天体物理 · 物理学 2018-12-12 A. V. Tugay , N. G. Pulatova , A. D. Zhoga

Giant arcs in strong lensing galaxy clusters can provide a purely geometric determination of cosmological parameters, such as the dark energy density and equation of state. We investigate sources of noise in cosmography with giant arcs,…

天体物理学 · 物理学 2009-11-10 Neal Dalal , Joseph Hennawi , Paul Bode

We present a structural analysis of nearby galaxies in spiral-spiral pairs in optical BVRI bands and compare with the structures of isolated spiral galaxies and galaxies in ongoing mergers. We use these comparisons to determine how galaxy…

天体物理学 · 物理学 2009-11-10 H. Hernandez-Toledo , V. Avila-Reese , C. J. Conselice , I. Puerari

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…

Encoded within the morphological structure of galaxies are clues related to their formation and evolutionary history. Recent advances pertaining to the statistics of galaxy morphology include sophisticated measures of concentration (C),…

宇宙学与河外天体物理 · 物理学 2015-05-30 K. M. Hambleton , B. K. Gibson , C. B. Brook , G. S. Stinson , C. J. Conselice , J. Bailin , H. Couchman , J. Wadsley

We present an extended morphometric system to automatically classify galaxies from astronomical images. The new system includes the original and modified versions of the CASGM coefficients (Concentration $C_1$, Asymmetry $A_3$, and…

星系天体物理 · 物理学 2015-09-21 Fabricio Ferrari , Reinaldo Ramos de Carvalho , Marina Trevisan

Elliptically symmetric distributions are a classic example of a semiparametric model where the location vector and the scatter matrix (or a parameterization of them) are the two finite-dimensional parameters of interest, while the density…

统计理论 · 数学 2026-03-18 Stefano Fortunati , Jean-Pierre Delmas , Esa Ollila

(Abridged) We present a non-parametric cell-based method of selecting highly pure and largely complete samples of spiral galaxies using photometric and structural parameters as provided by standard photometric pipelines and simple shape…

宇宙学与河外天体物理 · 物理学 2015-06-17 M. W. Grootes , R. J. Tuffs , C. C. Popescu , A. S. G. Robotham , M. Seibert , L. S. Kelvin

At high redshift, due to both observational limitations and the variety of galaxy morphologies in the early universe, measuring galaxy structure can be challenging. Non-parametric measurements such as the CAS system have thus become an…

星系天体物理 · 物理学 2021-09-08 C. Tohill , L. Ferreira , C. J. Conselice , S. P. Bamford , F. Ferrari

Aims. Traditional star-galaxy classification techniques often rely on feature estimation from catalogues, a process susceptible to introducing inaccuracies, thereby potentially jeopardizing the classification's reliability. Certain…

With the advancement of generative models, the assessment of generated images becomes more and more important. Previous methods measure distances between features of reference and generated images from trained vision models. In this paper,…

计算机视觉与模式识别 · 计算机科学 2024-04-10 Jaehui Hwang , Junghyuk Lee , Jong-Seok Lee

Achieving high accuracy and precision in stellar parameter and chemical composition determinations is challenging in massive star spectroscopy. On one hand, the target selection for an unbiased sample build-up is complicated by several…

太阳与恒星天体物理 · 物理学 2017-11-15 Maria-Fernanda Nieva , Norbert Przybilla

With the growth of the scale, depth, and resolution of astronomical imaging surveys, there is an increased need for highly accurate automated detection and extraction of astronomical sources from images. This also means there is a need for…

The intrinsic scatter in the ellipticities of galaxies about the mean shape, known as "shape noise," is the most important source of noise in weak lensing shear measurements. Several approaches to reducing shape noise have recently been put…

宇宙学与河外天体物理 · 物理学 2015-09-21 Rupert A. C. Croft , Peter E. Freeman , Thomas S. Schuster , Chad M. Schafer

Model fitting is frequently used to determine the shape of galaxies and the point spread function, for examples, in weak lensing analyses or morphology studies aiming at probing the evolution of galaxies. However, the number of parameters…

宇宙学与河外天体物理 · 物理学 2012-10-03 Guoliang Li , Bo Xin , Wei Cui

We study the sources of biases and systematics in the derivation of galaxy properties of observational studies, focusing on stellar masses, star formation rates, gas/stellar metallicities, stellar ages and magnitudes/colors. We use…

星系天体物理 · 物理学 2015-10-16 Giovanni Guidi , Cecilia Scannapieco , C. Jakob Walcher
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