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相关论文: Identifying symbiotic stars with machine learning

200 篇论文

I present here the first results from an ongoing pilot project with the 1.6 m telescope at the OPD, Brasil, aimed at the detection of the OVI $\lambda$6830 line via linear polarization in symbiotic stars. The main goal is to demonstrate…

太阳与恒星天体物理 · 物理学 2017-02-01 Stavros Akras

Binary stars are prevalent yet challenging to detect. We present a novel approach using convolutional neural networks (CNNs) to identify binary stars from low-resolution spectra obtained by the LAMOST survey. The CNN is trained on a dataset…

太阳与恒星天体物理 · 物理学 2025-02-25 Yingjie Jing , Tian-Xiang Mao , Jie Wang , Chao Liu , Xiaodian Chen

The percentage of massive main sequence OB stars in binary systems is thought to be as high as 100%. However, very few Galactic binary red supergiants (RSGs) have been identified, despite the fact that these stars are the evolved…

太阳与恒星天体物理 · 物理学 2019-05-01 Kathryn F. Neugent , Emily M. Levesque , Philip Massey , Nidia I. Morrell

OB associations play an important role in Galactic evolution, though their origins and dynamics remain poorly studied, with only a small number of systems analysed in detail. In this paper we revisit the existence and membership of the…

太阳与恒星天体物理 · 物理学 2024-11-20 Alexis L. Quintana , Nicholas J. Wright

We utilize a hybrid approach that integrates the traditional cross-correlation function (CCF) and machine learning to detect spectroscopic multi-systems, specifically focusing on double-line spectroscopic binary (SB2). Based on the ninth…

天体物理仪器与方法 · 物理学 2024-11-25 Shan-shan Li , Chun-qian Li , Chang-hua Li , Dong-wei Fan , Yun-fei Xu , Lin-ying Mi , Chen-zhou Cui , Jian-rong Shi

We report on a data-driven spectral model that we have developed for the identification of double-lined spectroscopic binary stars (SB2s) in the LAMOST low-resolution survey (R$\sim$1800). Employing simultaneous fitting with both…

太阳与恒星天体物理 · 物理学 2024-10-11 Junhui Liu , Bo Zhang , Jianfeng Wu , Yuan-Sen Ting

Aims. To search for these rare objects, we study 32 Galactic O-type stars that were reported as SB1s in the literature. In our sample we include Cyg X-1, which is known to host an accreting stellar-mass BH, and HD 74194, a supergiant fast…

This paper reviews current knowledge of symbiotic binaries, with special emphasis on their multifrequency observational characteristics, and basic parameters of the symbiotic system components. We start with a brief presentation of variable…

天体物理学 · 物理学 2007-05-23 Joanna Mikolajewska

This work proposes a multiple machine learning method (MMLM) aiming to improve the accuracy and robustness in the analysis of star clusters. The MMLM performance is evaluated by applying it to the reanalysis of the old binary cluster…

星系天体物理 · 物理学 2025-06-18 Denilso Camargo

Classifying and summarizing large data sets from different sky survey projects is essential for various subsequent scientific research. By combining data from 4XMM-DR13, SDSS DR18, and CatWISE, we formed an XMM-WISE-SDSS sample that…

星系天体物理 · 物理学 2024-10-16 Xiangyao Ma , Yanxia Zhang , Jingyi Zhang , Changhua Li , Zihan Kang , Ji Li

We develop a galaxy cluster finding algorithm based on spectral clustering technique to identify optical counterparts and estimate optical redshifts for X-ray selected cluster candidates. As an application, we run our algorithm on a sample…

星系天体物理 · 物理学 2016-07-15 Eman Mahmoud , Ali Takey , Amin Shoukry

Many problems in contemporary astrophysics---from understanding the formation of black holes to untangling the chemical evolution of galaxies---rely on knowledge about binary stars. This, in turn, depends on discovery and characterization…

About 3,500 planetary nebulae (PNe) are currently known in the Milky Way, which shows a great discrepancy with the expected number for these objects, regardless of the reference used, $33-59 \times 10^{3}$. The same holds for symbiotic…

星系天体物理 · 物理学 2024-04-10 Giovanna Liberato , Denise R. Gonçalves , Luis A. Gutiérrez-Soto , Stavros Akras

We present the culmination of our near-infrared survey of the optically spectroscopically identified white dwarf stars from the McCook & Sion catalog, conducted using photometric data from the Two Micron All Sky Survey final All Sky Data…

In this paper, we report on 606 S-type stars identified from Data Release 9 of the LAMOST medium-resolution spectroscopic (MRS) survey, and 539 of them are reported for the first time. The discovery of these stars is a three-step process,…

太阳与恒星天体物理 · 物理学 2022-06-08 Jing Chen , A-Li Luo , Yin-Bi Li , Xiang-Lei Chen , Rui Wang , Shuo Li , Bing Du , Xiao-Xiao Ma

We present a radial velocity (RV) survey of the field OB and OBe stars of the SMC Wing. We use multi-epoch observations of 55 targets obtained with the Magellan IMACS and M2FS multi-object spectrographs to identify single- and double-lined…

The results of an adaptive optics survey of exoplanet host stars for stellar companions is presented. We used the AEOS Telescope and its adaptive optics system to collect deep images of the stars in $I$-band. Sixty-two exoplanet host stars…

太阳与恒星天体物理 · 物理学 2015-05-30 Lewis C. Roberts , Nils H. Turner , Theo A. ten Brummelaar , Brian D. Mason , William I. Hartkopf

Number of known symbiotic stars (SySt) is still significantly lower than their predicted population. One of the main problems in finding complete population of SySt is the fact that their spectrum can be confused with other objects, such as…

太阳与恒星天体物理 · 物理学 2017-10-25 Krystian Ilkiewicz , Joanna Mikolajewska

Deep, wide-range and accurate UBVRI photometric sequences have been established around more than 80 symbiotic stars, to assist current photometry as well as measurement of old photographic plates. Sequences for 40 symbiotic stars have…

天体物理学 · 物理学 2007-05-23 Ulisse Munari , Arne Henden

The LAMOST Medium-Resolution Spectroscopic Survey (LAMOST-MRS) provides an unprecedented opportunity for detecting multi-line spectroscopic systems. Based on the method of Cross-Correlation Function (CCF) and successive derivatives, we…

太阳与恒星天体物理 · 物理学 2021-10-04 Chun-qian Li , Jian-rong Shi , Hong-liang Yan , Jian-Ning Fu , Jia-dong Li , Yong-Hui Hou