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相关论文: STEllar Content and Kinematics from high resolutio…

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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

STECKMAP stands for STEllar Content and Kinematics via Maximum A Posteriori likelihood. It is a tool for interpreting galaxy spectra in terms of their stellar populations, through the derivation of their star formation history,…

星系天体物理 · 物理学 2023-03-07 P. Ocvirk

We present inversion techniques aiming at recovering the stellar content (age, metallicity, extinction) and kinematics of a stellar population from its absorption line spectrum. These techniques use new synthetic high resolution spectra…

天体物理学 · 物理学 2007-05-23 P. Ocvirk , C. Pichon , A. Lancon

The stellar line-of-sight velocity distribution (LOSVD) can be strongly asymmetric in regions where the light contributions of both disc and bulge in spiral and lenticular galaxies are comparable. Existing techniques for the stellar…

天体物理仪器与方法 · 物理学 2015-06-03 Ivan Yu. Katkov , Igor V. Chilingarian

Ill-posed inverse problems are common in astronomy, and their solutions are unstable with respect to noise in the data. Solutions of such problems are typically found using two classes of methods: parametrization and fitting the data…

天体物理仪器与方法 · 物理学 2021-12-17 Damir Gasymov , Ivan Katkov

We use a new non-parametric gravitational modelling tool -- \Glass{} -- to determine what quality of data (strong lensing, stellar kinematics, and/or stellar masses) are required to measure the circularly averaged mass profile of a lens and…

宇宙学与河外天体物理 · 物理学 2015-06-18 Jonathan P. Coles , Justin I. Read , Prasenjit Saha

We introduce VErsatile SPectral Analysis (VESPA): a new method which aims to recover robust star formation and metallicity histories from galactic spectra. VESPA uses the full spectral range to construct a galaxy history from synthetic…

天体物理学 · 物理学 2009-11-13 Rita Tojeiro , Alan F. Heavens , Raul Jimenez , Ben Panter

State estimation in robotic systems presents significant challenges, particularly due to the prevalence of multimodal posterior distributions in real-world scenarios. One effective strategy for handling such complexity is to compute maximum…

机器人学 · 计算机科学 2026-01-27 Min-Won Seo , Solmaz S. Kia

Over 4,000 exoplanets have been identified and thousands of candidates are to be confirmed. The relations between the characteristics of these planetary systems and the kinematics, Galactic components, and ages of their host stars have yet…

地球与行星天体物理 · 物理学 2021-03-17 Di-Chang Chen , Ji-Wei Xie , Ji-Lin Zhou , Su-Bo Dong , Chao Liu , Hai-Feng Wang , Mao-Sheng Xiang , Yang Huang , Ali Luo , Zheng Zheng

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…

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…

In recent years integral-field spectroscopic surveys have revealed that the presence of kinematically decoupled stellar components is not a rare phenomenon in nearby galaxies. However, complete statistics are still lacking because they…

星系天体物理 · 物理学 2021-10-13 M. Rubino , A. Pizzella , L. Morelli , L. Coccato , E. Portaluri , V. P. Debattista , E. M. Corsini , E. Dalla Bontà

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

Galaxy formation is intrinsically connected to the distinct evolutionary processes of disk and spheroidal systems, which are the fundamental stellar components of galaxies. Understanding the mutual dynamical interplay and co-evolution of…

We introduce STAR, a text-to-image model that employs a scale-wise auto-regressive paradigm. Unlike VAR, which is constrained to class-conditioned synthesis for images up to 256$\times$256, STAR enables text-driven image generation up to…

计算机视觉与模式识别 · 计算机科学 2025-02-20 Xiaoxiao Ma , Mohan Zhou , Tao Liang , Yalong Bai , Tiejun Zhao , Biye Li , Huaian Chen , Yi Jin

We aim at a detailed description of the kinematic properties of the old, (several Gyrs) late-type CO-absorption star population among the Galactic centre (GC) cluster stars. We applied AO-assisted, near-infrared imaging and integral-field…

Gravitational lensing and stellar dynamics are two independent methods, based solely on gravity, to study the mass distributions of galaxies. Both methods suffer from degeneracies, however, that are difficult to break. In this paper, we…

天体物理学 · 物理学 2011-04-05 Matteo Barnabe' , Leon V. E. Koopmans

Asteroseismic forward modelling techniques are being used to determine fundamental properties (e.g. mass, radius, and age) of solar-type stars. The need to take into account all possible sources of error is of paramount importance towards a…

太阳与恒星天体物理 · 物理学 2018-05-02 B. Nsamba , T. L. Campante , M. J. P. F. G. Monteiro , M. S. Cunha , B. M. Rendle , D. R. Reese , K. Verma

Context. Determining stellar characteristics such as the radius, the mass or the age is crucial when studying stellar evolution, exoplanetary systems or characterising stellar populations in the Galaxy. Asteroseismology is the golden path…

太阳与恒星天体物理 · 物理学 2015-01-28 Gaël Buldgen , Daniel Roy Reese , Marc-Antoine Dupret , Réza Samadi

Context: Asteroseismology, a powerful approach for obtaining internal structure and stellar properties, requires surface temperature and chemical composition information to determine mass and age. High-resolution spectroscopy is a valuable…

太阳与恒星天体物理 · 物理学 2024-01-19 Nagaraj Vernekar , Sara Lucatello , Angela Bragaglia , Andrea Miglio , Nicoletta Sanna , Gloria Andreuzzi , Antonio Frasca
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