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The statistical properties of double main sequence (MS) binaries are very important for binary evolution and binary population synthesis. To obtain these properties, we need to identify these MS binaries. In this paper, we have developed a…

Solar and Stellar Astrophysics · Physics 2025-04-04 Jia-jia Li , Jin-liang Wang , Kai-fan Ji , Chao Liu , Hai-liang Chen , Zhan-wen Han , Xue-fei Chen

We present the main-sequence binary (MSMS) Catalog derived from Gaia Data Release 3 BP/RP (XP) spectra. Leveraging the vast sample of low-resolution Gaia XP spectra, we develop a forward modeling approach that maps stellar mass and…

Since its launch in 2013, the Gaia space telescope has provided precise measurements of the positions and magnitudes of over 1 billion stars. This has enabled extensive searches for stellar and sub-stellar companions through astrometric and…

Solar and Stellar Astrophysics · Physics 2023-12-11 A. L. Wallace

We investigate whether Gaia can specify the binary fractions of massive stellar populations in the Galactic disk through astrometric microlensing. Furthermore, we study if some information about their mass distributions can be inferred via…

Solar and Stellar Astrophysics · Physics 2015-04-14 Sedighe Sajadian

Binary stellar systems form a large fraction of the Galaxy's stars. They are useful as laboratories for studying the physical processes taking place within stars, and must be correctly taken into account when observations of stars are used…

Microlensing is one of the most promising methods of reconstructing the stellar mass function down to masses even below the hydrogen-burning limit. The fundamental limit to this technique is the presence of unresolved binaries, which can in…

Astrophysics · Physics 2009-10-28 B. Scott Gaudi , Andrew Gould

We present a machine learning (ML) framework for the detection of wide binary star systems using Gaia DR3 data. By training supervised ML models on established wide binary catalogues, we efficiently classify wide binaries and employ…

Astrophysics of Galaxies · Physics 2026-03-31 Amoy Ashesh , Harsimran Kaur , Sandeep Aashish

Neutron star (NS) has many extreme physical conditions, and one may obtain some important informations about NS via accreting neutron star binary (ANSB) systems. The upcoming Chinese Space Station Telescope (CSST) provides an opportunity to…

Solar and Stellar Astrophysics · Physics 2024-09-06 Hao Shen , Shun-Yi Lan , Xiang-Cun Meng

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…

Solar and Stellar Astrophysics · Physics 2025-02-25 Yingjie Jing , Tian-Xiang Mao , Jie Wang , Chao Liu , Xiaodian Chen

Binary stars play a crucial role in our understanding of the formation and evolution of star clusters and their stellar populations. We use Gaia Data Release 3 to homogeneously analyze 78 Galactic open clusters and the unresolved binary…

The internal structure of dark matter halos on sub-galactic scales remains a key open question, particularly in the context of the core-cusp problem. Ultra-faint dwarf galaxies (UFDs), owing to their extreme dark matter dominance, provide a…

Astrophysics of Galaxies · Physics 2026-04-24 Yixi Tao , Haijun Tian , Bin Yue , Jorge Peñarrubia

The binary fractions of open and globular clusters yield powerful constraints on their dynamical state and evolutionary history. We apply publicly available Bayesian analysis code to a $UBVRIJHK_{S}$ photometric catalog of the old open…

Solar and Stellar Astrophysics · Physics 2020-01-08 Roger E. Cohen , Aaron M. Geller , Ted von Hippel

We report infrared spectroscopic observations of a large, well-defined sample of main-sequence, single-lined spectroscopic binaries in order to detect the secondaries and derive the mass ratio distribution of short-period binaries. The…

Astrophysics · Physics 2009-11-10 T. Mazeh , M. Simon , L. Prato , B. Markus , S. Zucker

The HST/ACS Survey of Galactic globular clusters (GGCs) is a HST Treasury project aimed at obtaining high precision photometry in a large sample of globular clusters. The homogeneous photometric catalogs that has been obtained from these…

Astrophysics · Physics 2008-01-22 A. P. Milone , G. Piotto , L. R. Bedin , A. Sarajedini

The fraction of binary stars is an important ingredient to interpret globular cluster dynamical evolution and their stellar population. We investigate the properties of main-sequence binaries measured in a uniform photometric sample of 59…

Black hole-main sequence star (BH-MS) binaries are one of the targets of the future data releases of the astrometric satellite {\it Gaia}. They are supposed to be formed in two main sites: a galactic field and star clusters. However,…

High Energy Astrophysical Phenomena · Physics 2020-05-27 Minori Shikauchi , Jun Kumamoto , Ataru Tanikawa , Michiko S. Fujii

Wide binaries play a crucial role in analyzing the birth environment of stars and the dynamical evolution of clusters. When wide binaries are located at greater distances, their companions may overlap in the observed images, becoming…

Solar and Stellar Astrophysics · Physics 2023-09-14 You Wu , Jiao Li , Chao Liu , Yi Hu , Long Xu , Tanda Li , Xuefei Chen , Zhanwen Han

Wide binary stars are important for testing alternative models of gravitation in the weak-field regime and understanding the statistical outcomes of dynamical interactions in the general Galactic field. The Gaia mission's collection of…

Solar and Stellar Astrophysics · Physics 2025-07-28 Valeri V. Makarov

We use the StarTrack stellar population synthesis code to analyze properties of double compact object binaries as sources of gravitational waves. Since the distribution of lifetimes of these objects extends up to the Hubble time we conclude…

Astrophysics · Physics 2009-11-10 T. Bulik , K. Belczynski , B. Rudak

We developed a convolutional neural network (CNN) model to distinguish the double-lined spectroscopic binaries (SB2s) from others based on single exposure medium-resolution spectra ($R\sim 7,500$). The training set consists of a large set…

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