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相关论文: Using spectroscopic data to disentangle stellar po…

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Astronomy is in an era where all-sky surveys are mapping the Galaxy. The plethora of photometric, spectroscopic, asteroseismic and astrometric data allows us to characterise the comprising stars in detail. Here we quantify to what extent…

太阳与恒星天体物理 · 物理学 2017-05-03 George C. Angelou , Earl P. Bellinger , Saskia Hekker , Sarbani Basu

We discuss the systematic uncertainties inherent to analyses of observed (broad-band) Spectral Energy Distributions (SEDs) of star clusters with evolutionary synthesis models. We investigate the effects caused by restricting oneself to a…

天体物理学 · 物理学 2012-01-30 P. Anders , N. Bissantz , U. Fritze-v. Alvensleben , R. de Grijs , ;

We present the results of a study of young unresolved stellar groupings (clusters, OB associations, and their complexes) associated with HII regions, based on the coupling of spectroscopic, photometric and H{\alpha} spectrophotometric…

星系天体物理 · 物理学 2023-07-13 A. S. Gusev , F. Sakhibov , O. V. Egorov , V. S. Kostiuk , E. V. Shimanovskaya

Comparing models of Simple Stellar Populations (SSP) with observed line strengths generally provides a tool to break the age-metallicity degeneracy in elliptical galaxies. Due to the wide range of Balmer line strengths observed, ellipticals…

天体物理学 · 物理学 2009-12-08 Claudia Maraston , Daniel Thomas

We present unified chemical and spectrophotometric evolutionary synthesis models that allow to describe composite stellar populations in a chemically consistent way. Keeping track of the ISM abundance at birth of each star and using sets of…

天体物理学 · 物理学 2020-05-27 U. Fritze-v. Alvensleben

For a number of reasons, the properties of integrated stellar populations are distributed. Traditional synthesis models usually return the mean value of such distribution, and a perfect fitting to observational data is sought for to infer…

天体物理学 · 物理学 2007-05-23 V. Luridiana , M. Cervino

Stellar populations contain the most important information about star clus- ter formation and evolution. Until several decades ago, star clusters were believed to be ideal laboratories for studies of simple stellar populations (SSPs).…

太阳与恒星天体物理 · 物理学 2016-12-14 Chengyuan Li , Richard de Grijs , Licai Deng

We present robust statistical estimates of the accuracy of early-type galaxy stellar masses derived from spectral energy distribution (SED) fitting as functions of various empirical and theoretical assumptions. Using large samples…

宇宙学与河外天体物理 · 物理学 2015-05-28 R. Swindle , R. R. Gal , F. La Barbera , R. R. de Carvalho

We investigate the capability of the UBVRIJHK photometric system to quantify star clusters in terms of age, metallicity and color excess by their integrated photometry in the framework of PEGASE single stellar population (SSP) models. The…

星系天体物理 · 物理学 2009-05-25 A. Bridzius , D. Narbutis , R. Stonkute , V. Deveikis , V. Vansevicius

Using mock spectra based on Vazdekis/MILES library fitted within the wavelength region 3600-7350\AA, we analyze the bias and scatter on the resulting physical parameters induced by the choice of fitting algorithms and observational…

星系天体物理 · 物理学 2018-05-23 Junqiang Ge , Renbin Yan , Michele Cappellari , Shude Mao , Hongyu Li , Youjun Lu

Local galaxies follow scaling relations between mass and stellar population properties such as age and metallicity, which encode key information on their evolutionary histories. We revise these relations using the largest spectroscopic…

星系天体物理 · 物理学 2025-11-05 D. Mattolini , S. Zibetti , A. R. Gallazzi , L. Scholz-Diaz , J. Pratesi

The spatial distributions of the mean luminosity-weighted stellar age, metallicity, and alpha/Fe ratio along both photometric axes of two nearby elliptical galaxies have been obtained using Lick index measurements on long slit spectra in…

天体物理学 · 物理学 2009-11-13 A. de C. Milone , M. Pastoriza , M. Rickes

Estimating age distributions, or star formation histories, of stellar populations in the Milky Way is important in order to study the evolution of trends in elemental abundances and kinematics. We build on previous work to develop an…

天体物理仪器与方法 · 物理学 2021-01-20 Christian L. Sahlholdt , Lennart Lindegren

We determine the stellar population properties - age, metallicity, dust reddening, stellar mass and the star formation history - for all spectra classified as galaxies that were published by the Sloan Digital Sky Survey (SDSS data release…

The basic assumptions behind Population Synthesis and Spectral Evolution models are reviewed. The numerical problems encountered by the standard population synthesis technique when applied to models with truncated star formation rates are…

天体物理学 · 物理学 2007-05-23 Gustavo Bruzual A

In this paper we investigate the power of spectral synthesis as a mean to estimate physical properties of galaxies. Spectral synthesis is nothing more than the decomposition of an observed spectrum in terms of a superposition of a base of…

天体物理学 · 物理学 2010-04-06 R. Cid Fernandes , A. Mateus , L. Sodre , G. Stasinska , J. M. Gomes

We present the stellar properties of 2908 galaxies at 0.6 < z < 1.0 from the LEGA-C survey. We emphasize the importance of high signal-to-noise, high spectral resolution spectroscopy in the inference of stellar population properties of…

Spectroscopic parameters (effective temperature, metallicity, etc) were determined for a large sample of ~100 red giants in the Kepler field, for which mass, radius, and evolutionary status had already been asteroseismologically…

太阳与恒星天体物理 · 物理学 2016-02-03 Y. Takeda , A. Tajitsu , B. Sato , Y. -J. Liu , Y. -Q. Chen , G. Zhao

Our ability to extract information from the spectra of stars depends on reliable models of stellar atmospheres and appropriate techniques for spectral synthesis. Various model codes and strategies for the analysis of stellar spectra are…

This paper presents theoretical integrated spectral energy distributions (SEDs) of binary star composite stellar populations (bsCSPs) in early-type galaxies, and how the bsCSP model can be used for spectral studies of galaxies. All bsCSPs…

星系天体物理 · 物理学 2015-06-05 Zhongmu Li , Liyun Zhang , Jinzhong Liu