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相关论文: Fitting galaxy spectra with STECKMAP: a user guide

200 篇论文

We introduce STECKMAP (STEllar Content and Kinematics via Maximum A Posteriori), a method to recover the kinematical properties of a galaxy simultaneously with its stellar content from integrated light spectra. It is an extension of STECMAP…

天体物理学 · 物理学 2016-08-30 P. Ocvirk , C. Pichon , A. Lancon , E. Thiebaut

This paper describes STECMAP (STEllar Content via Maximum A Posteriori), a flexible, non-parametric inversion method for the interpretation of the integrated light spectra of galaxies, based on synthetic spectra of single stellar…

天体物理学 · 物理学 2009-11-11 P. Ocvirk , C. Pichon , A. Lancon , E. Thiebaut

In recent years, large language models (LLMs) have transformed natural language understanding through vast datasets and large-scale parameterization. Inspired by this success, we present SpecCLIP, a foundation model framework that extends…

天体物理仪器与方法 · 物理学 2025-12-22 Xiaosheng Zhao , Yang Huang , Guirong Xue , Xiao Kong , Jifeng Liu , Xiaoyu Tang , Timothy C. Beers , Yuan-Sen Ting , A-Li Luo

Space-based projects are providing a wealth of high-quality asteroseismic data, including frequencies for a large number of stars showing solar-like oscillations. These data open the prospect for precise determinations of key stellar…

太阳与恒星天体物理 · 物理学 2015-05-20 P. -O. Quirion , J. Christensen-Dalsgaard , T. Arentoft

Galaxy spectra are a rich source of kinematical information since the shapes of the absorption lines reflect the movement of stars along the line-of-sight. We present a technique to directly build a dynamical model for a galaxy by fitting…

天体物理学 · 物理学 2009-10-30 S. De Rijcke , H. Dejonghe

Asteroseismic observations are crucial to constrain stellar models with precision. Bayesian Estimation of STellar Parameters (BESTP) is a tool that utilizes Bayesian statistics and nested sampling Monte Carlo algorithm to search for the…

太阳与恒星天体物理 · 物理学 2021-09-24 Chen Jiang , Laurent Gizon

We present AstroCLIP, a single, versatile model that can embed both galaxy images and spectra into a shared, physically meaningful latent space. These embeddings can then be used - without any model fine-tuning - for a variety of downstream…

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

Neighbor embedding is widely employed to visualize high-dimensional data; however, it frequently overlooks the global structure, e.g., intercluster similarities, thereby impeding accurate visualization. To address this problem, this paper…

机器学习 · 计算机科学 2025-02-07 Koshi Watanabe , Keisuke Maeda , Takahiro Ogawa , Miki Haseyama

We present SPECULATOR - a fast, accurate, and flexible framework for emulating stellar population synthesis (SPS) models for predicting galaxy spectra and photometry. For emulating spectra, we use principal component analysis to construct a…

The integrated spectra of stellar systems contain a wealth of information, and its analysis can reveal fundamental parameters such as metallicity, age and star formation history. Widely used methods to analyze these spectra are based on…

太阳与恒星天体物理 · 物理学 2019-02-04 Lucimara P. Martins , Círia Lima-Dias , Paula R. T. Coelho , Tatiana F. Laganá

Oscillations occur in stars of most masses and essentially all stages of evolution. Asteroseismology is the study of the frequencies and other properties of stellar oscillations, from which we can extract fundamental parameters such as…

天体物理学 · 物理学 2009-11-13 Hans Kjeldsen , Timothy R. Bedding , Joergen Christensen-Dalsgaard

The currently operating space missions, as well as those that will be launched in the near future, (will) deliver high-quality data for millions of stellar objects. Since the majority of stellar astrophysical applications still (at least…

太阳与恒星天体物理 · 物理学 2015-09-23 Andrew Tkachenko

Spectral evolution models are a widely used tool for determining the stellar content of galaxies. I provide a review of the latest developments in stellar atmosphere and evolution models, with an emphasis on massive stars. In contrast to…

太阳与恒星天体物理 · 物理学 2015-05-14 Claus Leitherer

Over the last decades, evolutionary population synthesis models have powered an unmatched leap forward in our understanding of galaxies. From dating the age of the first galaxies in the Universe to detailed measurements of the chemical…

星系天体物理 · 物理学 2024-11-13 I. Martín-Navarro , A. Vazdekis

We describe a simple step-by-step guide to qualitative interpretation of galaxy spectra. Rather than an alternative to existing automated tools, it is put forward as an instrument for quick-look analysis, and for gaining physical insight…

宇宙学与河外天体物理 · 物理学 2015-06-05 J. Sanchez Almeida , R. Terlevich , E. Terlevich , R. Cid Fernandes , A. B. Morales-Luis

MAx is a new tool to estimate parameters from stellar spectra. It is based on the maximum likelihood method, with the likelihood compressed in a way that the information stored in the spectral fluxes is conserved. The compressed data are…

星系天体物理 · 物理学 2015-05-14 Paula Jofré , Ben Panter , Camilla Juul Hansen , Achim Weiss

High precision spectroscopy provides essential information necessary to fully exploit the opportunity of probing the internal structure of stars using Asteroseismology. In this work we discuss how Asteroseismology combined with High…

天体物理学 · 物理学 2008-02-18 M. J. P. F. G. Monteiro

We present a spectral decomposition technique that separates the contribution of different kinematic components in galaxies from the observed spectrum. This allows to study the kinematics and properties of the stellar populations of the…

iSpec is an integrated spectroscopic software framework suitable for the creation of spectral libraries such as the Benchmark Stars library and the determination of atmospheric parameters (i.e. effective temperature, surface gravity,…

太阳与恒星天体物理 · 物理学 2013-12-18 S. Blanco-Cuaresma , C. Soubiran , P. Jofré , U. Heiter
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