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相关论文: Automated Quantitative Description of Spiral Galax…

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(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

We describe a new formula capable of quantitatively characterizing the Hubble sequence of spiral galaxies including grand design and barred spirals. Special shapes such as ring galaxies with inward and outward arms are also described by the…

星系天体物理 · 物理学 2015-05-13 Harry I. Ringermacher , Lawrence R. Mead

A model based on disk-stability criteria to determine the number of spiral arms of a general disk galaxy with an exponential disk, a bulge and a dark halo described by a Hernquist model is presented. The multifold rotational symmetry of the…

星系天体物理 · 物理学 2015-08-06 Elena D'Onghia

The main goal of this work is to quantify, through a robust methodology, the contribution of invariant manifolds to the formation of spiral arms in a pure N-body simulation, setting up a machinery to perform similar tests in other and more…

星系天体物理 · 物理学 2026-05-27 Toni Soler-Terricabras , Mercè Romero-Gómez , Santi Roca-Fàbrega

Using the stellar kinematic maps and ancillary imaging data from the Sydney AAO Multi Integral field (SAMI) Galaxy Survey, the intrinsic shape of kinematically-selected samples of galaxies is inferred. We implement an efficient and…

Using the cross-matched data of Gaia EDR3 and the 2MASS Point Source Catalog, a sample of RC stars with parallax accuracies better than 20% is identified and used to reveal the nearby spiral pattern traced by old stars. As shown in the…

星系天体物理 · 物理学 2022-06-01 Zehao Lin , Ye Xu , Ligang Hou , Dejian Liu , Yingjie Li , Chaojie Hao , Jingjing Li , Shuaibo Bian

We develop a simple analytic model for the gravitational clustering of dark matter haloes to understand how their spatial distribution is biased relative to that of the mass. The statistical distribution of dark haloes within the initial…

天体物理学 · 物理学 2015-06-24 H. J. Mo , S. D. M. White

Semi-analytical models (SAMs) are currently the best way to understand the formation of galaxies within the cosmic dark-matter structures. While they fairly well reproduce the local stellar mass functions, correlation functions and…

星系天体物理 · 物理学 2015-02-25 Morgane Cousin , Guilaine Lagache , Matthieu Bethermin , Jeremy Blaizot , Bruno Guiderdoni

The study of the morphology of galaxies is important in order to understand the formation and evolution of galaxies and their sub-components as a function of luminosity, environment, and star-formation and galaxy assembly over cosmic time.…

宇宙学与河外天体物理 · 物理学 2012-01-12 Yogesh Wadadekar

Galaxy Zoo is the first study of nearby galaxies that contains reliable information about the spiral sense of rotation of galaxy arms for a sizeable number of galaxies. We measure the correlation function of spin chirality (the sense in…

Measuring the morphological parameters of galaxies is a key requirement for studying their formation and evolution. Surveys such as the Sloan Digital Sky Survey (SDSS) have resulted in the availability of very large collections of images,…

天体物理仪器与方法 · 物理学 2015-03-25 Sander Dieleman , Kyle W. Willett , Joni Dambre

We use hydrodynamic simulations to investigate nonlinear gas responses to an imposed stellar spiral potential in disk galaxies. The gaseous medium is assumed to be infinitesimally thin, isothermal, and unmagnetized. We consider various…

星系天体物理 · 物理学 2015-06-18 Yonghwi Kim , Woong-Tae Kim

Context: Because of our viewing point within the Galactic disc, it is extremely difficult to observe the spiral structure of the Milky Way. Aims: To clarify the structure of the Galaxy by re-examination of gas distributions and data from…

星系天体物理 · 物理学 2015-06-04 Charles Francis , Erik Anderson

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…

星系天体物理 · 物理学 2015-05-18 D. B. Wijesinghe , A. M. Hopkins , B. C. Kelly , N. Welikala , A. J. Connolly

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

We discuss a model for the Milky Way obtained by fitting the observed terminal velocities with the radial acceleration relation. The resulting stellar surface density profile departs from a smooth exponential disk, having bumps and wiggles…

星系天体物理 · 物理学 2019-11-06 Stacy McGaugh

We generated synthetic observations from the four-arm model presented in Gomez & Cox (2004) for the Galactic ISM in the presence of a spiral gravitational perturbation. We found that velocity crowding and diffusion have a strong effect in…

天体物理学 · 物理学 2009-11-10 Gilberto C. Gomez , Donald P. Cox

We present a revised method for simultaneous determination of the pattern speed and star formation timescale of spiral galaxies, its application, and results for CO and Ha images of nearby spiral galaxies. Out of 13 galaxies, we were able…

宇宙学与河外天体物理 · 物理学 2010-01-15 Fumi Egusa , Kotaro Kohno , Yoshiaki Sofue , Hiroyuki Nakanishi , Shinya Komugi

Number counts and redshift distribution of gravitational arcs are computed in the field of massive clusters of galaxies to probe the universe at high redshift. Using an accurate modelling for the cluster mass distribution and a model for…

天体物理学 · 物理学 2007-05-23 J. Bezecourt

Star clusters provide unique advantages for investigating Galactic spiral arms, particularly due to their precise ages, positions, and kinematic properties, which are further enhanced by ongoing updates from the astrometric data. In this…

星系天体物理 · 物理学 2025-01-27 Xiaochen Liu , Zhihong He , Yangping Luo , Kun Wang