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相关论文: PCA-based inversion of stellar fundamental paramet…

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The general context of this study is the inversion of stellar fundamental parameters from high-resolution Echelle spectra. We aim indeed at developing a fast and reliable tool for the post-processing of spectra produced by Espadons and…

天体物理仪器与方法 · 物理学 2014-12-24 F. Paletou , T. Böhm , V. Watson , J. -F. Trouilhet

This work addresses a procedure to estimate fundamental stellar parameters such as T eff , logg, [Fe/H], and v sin i using a dimensionality reduction technique called Principal Component Analysis (PCA), applied to a large database of…

太阳与恒星天体物理 · 物理学 2015-08-18 W. Farah , M. Gebran , F. Paletou , R. Blomme

We present an automated procedure that derives simultaneously the effective temperature $T_{eff}$, the surface gravity logg, the metallicity [Fe/H], and the equatorial projected rotational velocity vsini for "normal" A and Am stars. The…

天体物理仪器与方法 · 物理学 2016-04-20 M. Gebran , W. Farah , F. Paletou , R. Monier , V. Watson

We present a method for deriving stellar fundamental parameters. It is based on a regularized sliced inverse regression (RSIR). We first tested it on noisy synthetic spectra of A, F, G, and K-type stars, and inverted simultaneously their…

太阳与恒星天体物理 · 物理学 2019-01-31 S. Kassounian , M. Gebran , F. Paletou , V. Watson

Echelle spectrographs with their high resolution plays important role in determination of characteristics of stellar lines. Wide field of applications is focused mainly on the measurements of precise radial velocity applied in exoplanetary…

天体物理仪器与方法 · 物理学 2016-02-16 Romana Grossová

In this paper we describe Kea a new spectroscopic fitting method to derive stellar parameters from moderate to low signal/noise, high-resolution spectra. We developed this new tool to analyze the massive data set of the Kepler mission…

太阳与恒星天体物理 · 物理学 2016-06-29 Michael Endl , William D. Cochran

Our aim is to evaluate fundamental parameters from the analysis of the electromagnetic spectra of stars. We may use $10^3$-$10^5$ spectra; each spectrum being a vector with $10^2$-$10^4$ coordinates. We thus face the so-called "curse of…

天体物理仪器与方法 · 物理学 2017-06-08 V. Watson , JF. Trouilhet , F. Paletou , S. Girard

We present a unified framework to derive fundamental stellar parameters by combining all available observational and theoretical information for a star. The algorithm relies on the method of Bayesian inference, which for the first time…

太阳与恒星天体物理 · 物理学 2015-06-18 Ralph Schönrich , Maria Bergemann

Spectral synthesis is a powerful tool with which to find the fundamental parameters of stars. Models are usually restricted to single values of temperature and gravity, and assume spherical symmetry. This approximation breaks down for…

太阳与恒星天体物理 · 物理学 2024-06-27 Benjamin Montesinos

The visual STELLA echelle spectrograph (SES-VIS) is a new instrument for the STELLA-II telescope at the Iza\~na observatory on Tenerife. Together with the original SES spectrograph - which will still be used in the near IR - and a new…

天体物理仪器与方法 · 物理学 2020-12-16 Michael Weber , Klaus Strassmeier , Manfred Woche , Ilya Ilyin , Arto Järvinen

We have developed a web tool to perform Principal Component Analysis (PCA, Murtagh & Heck 1987; Kendall 1980) onto spectral data. The method is especially designed to perform spectral classification of galaxies from a sample of input…

星系天体物理 · 物理学 2009-09-22 Mauricio Ortiz , Gaspar Galaz

With the rapid development of asteroseismology thanks to space-based photometry missions such as CoRoT, Kepler, TESS, and in the future, PLATO, and the use of inversion techniques, quasi-model-independent constraints on the stellar…

太阳与恒星天体物理 · 物理学 2022-07-20 J. Bétrisey , G. Buldgen

We describe a technique for deriving effective temperatures, surface gravities, rotation velocities, and radial velocities from high resolution near-IR spectra. The technique matches the observed near-IR spectra to spectra synthesized from…

天体物理学 · 物理学 2009-11-10 G. W. Doppmann , D. T. Jaffe

The derivation of the effective temperature of a star is a critical first step in a detailed spectroscopic analysis. Spectroscopic methods suffer from systematic errors related to model simplifications. Photometric methods may be more…

太阳与恒星天体物理 · 物理学 2015-06-15 Julián Muñoz Bermejo , Andrés Asensio Ramos , Carlos Allende Prieto

We show how the range of application of the principal component analysis-based inversion method of Paletou et al. (2015) can be extended to late-type stars data. Besides being an extension of its original application domain, for FGK stars,…

太阳与恒星天体物理 · 物理学 2015-08-12 F. Paletou , M. Gebran , E. R. Houdebine , V. Watson

With the large amounts of spectroscopic data available today and the very large surveys to come (e.g. Gaia), the need for automatic data analysis software is unquestionable. We thus developed an automatic spectra analysis program for the…

The resolution limits of classical spectroscopy can be surpassed by quantum-inspired methods leveraging the information contained in the phase of the complex electromagnetic field. Their counterpart in spatial imaging has been widely…

光学 · 物理学 2024-09-02 Michał Lipka , Michał Parniak

High-quality stellar spectra are in great demand now - they are the most important ingredient in the stellar population synthesis to study galaxies and star clusters. Here we describe the procedures to increase the quality of flux…

It is believed that some numerical technique must be employed for the determination of the system parameters of a visual binary or a star with a planet because the relevant equations are not only highly nonlinear but also transcendental…

天体物理学 · 物理学 2015-06-24 Hideki Asada , Toshio Akasaka , Masumi Kasai

We present here CAFE, the Calar Alto Fiber-fed Echelle spectrograph, a new instrument built at the Centro Astronomico Hispano Alem\'an (CAHA). CAFE is a single fiber, high-resolution ($R\sim$70000) spectrograph, covering the wavelength…

天体物理仪器与方法 · 物理学 2015-06-12 J. Aceituno , S. F. Sanchez , F. Grupp , J. Lillo , M. Hernan-Obispo , D. Benitez , L. M. Montoya , U. Thiele , S. Pedraz , D. Barrado , S. Dreizler , J. Bean
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