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相关论文: Automated Determination of Stellar Population Para…

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We have developed a method for fast and accurate stellar population parameters determination in order to apply it to high resolution galaxy spectra. The method is based on an optimization technique that combines active learning with an…

天体物理学 · 物理学 2010-11-11 Thamar Solorio , Olac Fuentes , Roberto Terlevich , Elena Terlevich

We present a new technique to segregate old and young stellar populations in galactic spectra using machine learning methods. We used an ensemble of classifiers, each classifier in the ensemble specializes in young or old populations and…

We present a novel statistical algorithm, Stellar Ages, which currently infers the age, metallicity, and extinction posterior distributions of stellar populations from their magnitudes. While this paper focuses on these parameters, the…

太阳与恒星天体物理 · 物理学 2025-12-18 Joseph J. Guzman , Jeremiah W. Murphy , Andres F. Barrientos , Benjamin F. Williams , Julianne J. Dalcanton

Determining the properties of old stellar populations (those with age >1 Gyr) has long involved the comparison of their integrated light, either in the form of photometry or spectroscopic indexes, with empirical or synthetic templates. Here…

星系天体物理 · 物理学 2018-06-06 E R Stanway , J J Eldridge

In order to analyse the large numbers of Seyfert galaxy spectra available at present, we are testing new techniques to derive their physical parameters fastly and accurately. We present an experiment on such a new technique to segregate old…

Understanding the star-formation properties of galaxies as a function of cosmic epoch is a critical exercise in studies of galaxy evolution. Traditionally, stellar population synthesis models have been used to obtain best fit parameters…

星系天体物理 · 物理学 2020-03-04 Shraddha Surana , Yogesh Wadadekar , Omkar Bait , Hrushikesh Bhosle

We explore the possibility of inferring the properties of the Galactic neutron star population through machine learning. In particular, in this paper we focus on their dynamical characteristics and show that an artificial neural network is…

高能天体物理现象 · 物理学 2021-08-11 Michele Ronchi , Vanessa Graber , Alberto Garcia-Garcia , Jose A. Pons , Nanda Rea

We present a Bayesian method to determine simultaneously the age, metallicity, distance modulus, and interstellar reddening by dust of any resolved stellar population, by comparing the observed and synthetic color magnitude diagrams on a…

星系天体物理 · 物理学 2019-05-08 V. H. Ramírez-Siordia , G. Bruzual , B. Cervantes Sodi , T. Bitsakis

The orbit distribution of young stars in the Galactic disk is highly structured, from well-defined clusters to streams of stars that may be widely dispersed across the sky, but are compact in orbital action-angle space. The age distribution…

星系天体物理 · 物理学 2023-11-20 Verena Fürnkranz , Hans-Walter Rix , Johanna Coronado , Rhys Seeburger

The age and chemical composition of the stars in present-day galaxies carry important clues about their star formation processes. The latest generation of population synthesis models have allowed to derive age and stellar metallicity…

宇宙学与河外天体物理 · 物理学 2015-05-14 Anna Gallazzi

Recent analysis of stellar populations in barred galaxies have focused on the spatial distribution of stellar population ages and metallicities. However, barred galaxies are complex objects where dynamical instabilities play a leading role…

天体物理学 · 物理学 2009-11-13 Hervé Wozniak

I present a brief review of the stellar population properties of massive galaxies, focusing on early-type galaxies in particular, with emphasis on recent results from the ATLAS3D Survey. I discuss the occurrence of young stellar ages, cold…

宇宙学与河外天体物理 · 物理学 2015-06-12 Richard M. McDermid

Different stellar populations may be identified through differences in chemical, kinematic, and chronological properties, suggesting the interplay of various physical mechanisms that led to their origin and subsequent evolution. As such,…

星系天体物理 · 物理学 2025-03-26 A. W. Neitzel , T. L. Campante , D. Bossini , A. Miglio

The determination of stellar populations of galaxies are important for studying the formation and evolution of galaxies, because all galaxies contain many stars and they evolve with galaxies. Spectra data are usually used to determine the…

太阳与恒星天体物理 · 物理学 2013-02-04 Zhongmu Li

Since the early 1970s, stellar population modelling has been one of the basic tools for understanding the physics of unresolved systems from observation of their integrated light. Models allow us to relate the integrated spectra (or…

天体物理仪器与方法 · 物理学 2013-12-03 Miguel Cerviño

It is now possible to measure detailed spectral indices for stellar populations in spiral disks. We propose to interpret these data using evolutionary synthesis models computed from the Star Formation Histories obtained from chemical…

天体物理学 · 物理学 2015-06-24 M. Molla , S. Cantin , C. Robert , A. Pellerin , E. Hardy

We describe a novel method for determining the demographics of a population of star clusters, for example distributions of cluster mass and age, from unresolved photometry. This method has a number of desirable properties: it fully exploits…

星系天体物理 · 物理学 2018-11-07 Mark R. Krumholz , Angela Adamo , Michele Fumagalli , Daniela Calzetti

I summarize in terms of evolutionary population synthesis models our current understanding of stellar populations in different environments, from star clusters in nearby galaxies to distant galaxies in clusters or seen through gravitational…

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

Context: The radial variations of the stellar populations properties within passive galaxies at high redshift contain information about their assembly mechanisms, based on which galaxy formation and evolution scenarios may be distinguished.…

星系天体物理 · 物理学 2022-04-27 F. R. Ditrani , S. Andreon , M. Longhetti , A. Newman

The fundamental properties of stellar clusters, such as the age or the total initial mass in stars, are often inferred from population synthesis models. The predicted properties are then used to constrain the physical mechanisms involved in…

天体物理学 · 物理学 2013-07-02 M. Cervino , D. Valls-Gabaud
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