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In this paper we describe the FIT\textit{spec} code, a data mining tool for the automatic fitting of synthetic stellar spectra. The program uses a database of 27\,000 {\sc cmfgen} models of stellar atmospheres arranged in a six-dimensional…

Stellar spectra encode key information on the physical properties and chemical compositions of stars. Accurate stellar parameter determination is essential for addressing major questions such as galaxy and stellar evolution. Large-scale…

天体物理仪器与方法 · 物理学 2026-05-27 Hai-Ling Lu , Yu-Yang Li , Yin-Bi Li , Cun-Shi Wang , A-Li Luo , Jun-Chao Liang , Shuo Li

Owing to the remarkable photometric precision of space observatories like Kepler, stellar and planetary systems beyond our own are now being characterized en masse for the first time. These characterizations are pivotal for endeavors such…

太阳与恒星天体物理 · 物理学 2017-04-03 Earl P. Bellinger , George C. Angelou , Saskia Hekker , Sarbani Basu , Warrick Ball , Elisabeth Guggenberger

A method is developed for fitting theoretically predicted astronomical spectra to an observed spectrum. Using a hierarchical Bayesian principle, the method takes both systematic and statistical measurement errors into account, which has not…

天体物理学 · 物理学 2008-11-26 Z. Shkedy , L. Decin , G. Molenberghs , C. Aerts

Surveys of nearby field stars indicate that stellar binaries are common, yet little is known about the effects that these companions may have on planet formation and evolution. The Friends of Hot Jupiters project uses three complementary…

Young, intermediate-mass stars are experiencing renewed interest as targets for direct-imaging planet searches. However, these types of stars are part of multiple systems more often than not. Close stellar companions affect the formation…

The increasing number of spectra gathered by spectroscopic sky surveys and transiting exoplanet follow-up has pushed the community to develop automated tools for atmospheric stellar parameters determination. Here we present a novel approach…

太阳与恒星天体物理 · 物理学 2017-06-28 Luca Malavolta , Christophe Lovis , Francesco Pepe , Christopher Sneden , Stephane Udry

The unparalleled photometric data obtained by NASA's Kepler Space Telescope has led to an improved understanding of stellar structure and evolution - in particular for solar-like oscillators in this context. Binary stars are fascinating…

What makes the study of exoplanetary atmospheres so hard is the extraction of its tiny signal from observations, usually dominated by telluric absorption, stellar spectrum and instrumental noise. The High Resolution Spectroscopy has emerged…

地球与行星天体物理 · 物理学 2022-09-14 M. C. Maimone , A. Chiavassa , J. Leconte

The detection and subsequent characterisation of exoplanets are intimately linked to the characteristics of their host star. Therefore, it is necessary to study the star in detail in order to understand the formation history and…

太阳与恒星天体物理 · 物理学 2018-07-18 M. G. Soto , J. S. Jenkins

In the era of large time-domain spectro-photometric surveys, surface variations such as starspots, chemical inhomogeneities, pulsations, rotational distortions, and binary interactions can now be directly detected and modelled. Accurately…

太阳与恒星天体物理 · 物理学 2025-11-17 M. Jabłońska , T. Różański , L. Casagrande , H. Shah , P. A. Kołaczek-Szymański , M. Rychlicki , Yuan-Sen Ting

Upcoming large-scale spectroscopic surveys such as WEAVE and 4MOST will provide thousands of spectra of massive stars, which need to be analysed in an efficient and homogeneous way. Studies on massive stars are usually based on samples of a…

太阳与恒星天体物理 · 物理学 2024-11-20 Joachim M. Bestenlehner

The inference of stellar parameters (such as radius and mass) through asteroseismic forward modelling depends on the number, accuracy, and precision of seismic and atmospheric constraints. ESA's Gaia space mission is providing precise…

太阳与恒星天体物理 · 物理学 2024-12-09 Benard Nsamba , Achim Weiss , Juma Kamulali

The common spatial pattern (CSP) approach is known as one of the most popular spatial filtering techniques for EEG classification in motor imagery (MI) based brain-computer interfaces (BCIs). However, it still suffers some drawbacks such as…

信号处理 · 电气工程与系统科学 2023-03-13 Jinlong Dong , Milana Komosar , Johannes Vorwerk , Daniel Baumgarten , Jens Haueisen

With the availability of multi-object spectrometers and the designing \& running of some large scale sky surveys, we are obtaining massive spectra. Therefore, it becomes more and more important to deal with the massive spectral data…

天体物理仪器与方法 · 物理学 2023-12-27 Xiangru Li , Yangtao Lin , Kaibin Qiu

In the current panorama of large surveys, the vast amount of data obtained with different methods, data types, formats, and stellar samples, is making an efficient use of the available information difficult. The Survey of Surveys is a…

The search for twins of the Sun and Earth relies on accurate characterization of stellar and exoplanetary parameters: i.e., ages, masses, and radii. In the modern era of asteroseismology, parameters of solar-like stars are derived by…

太阳与恒星天体物理 · 物理学 2020-03-04 Earl P. Bellinger , Saskia Hekker , George C. Angelou , Amalie Stokholm , Sarbani Basu

The complexity of composite spectra of close binary star system makes study of the spectra of their component stars extremely difficult. For this reason there exists very little information on the photospheric chemical composition of stars…

太阳与恒星天体物理 · 物理学 2014-03-05 K. Pavlovski , J. Southworth

Graphs are a popular data type found in many domains. Numerous techniques have been proposed to find interesting patterns in graphs to help understand the data and support decision-making. However, there are generally two limitations that…

人工智能 · 计算机科学 2022-04-28 Jiahong Liu , Min Zhou , Philippe Fournier-Viger , Menglin Yang , Lujia Pan , Mourad Nouioua

Clustering is an effective tool for astronomical spectral analysis, to mine clustering patterns among data. With the implementation of large sky surveys, many clustering methods have been applied to tackle spectroscopic and photometric data…

天体物理仪器与方法 · 物理学 2022-12-19 Haifeng Yang , Chenhui Shi , Jianghui Cai , Lichan Zhou , Yuqing Yang , Xujun Zhao , Yanting He , Jing Hao