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Related papers: MESS: Multi-Epoch Spectroscopic Solver for Detecti…

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The novel combination of a strongly-resonant optical metasurface with the MoS$_2$/WSe$_2$ hetero-bilayer is proposed for efficient free-space lasing enabled by the enhanced coupling between the optical and matter (exciton) states. The…

While semantic segmentation has seen tremendous improvements in the past, there are still significant labeling efforts necessary and the problem of limited generalization to classes that have not been present during training. To address…

Computer Vision and Pattern Recognition · Computer Science 2023-12-19 Benedikt Blumenstiel , Johannes Jakubik , Hilde Kühne , Michael Vössing

Context. Intermediate- to high-mass stars are the least numerous types of stars and they are less well understood than their more numerous low-mass counterparts in terms of their internal physical processes. Modelling the photometric…

Solar and Stellar Astrophysics · Physics 2021-08-25 Luc W. IJspeert , Andrew Tkachenko , Cole Johnston , Stefano Garcia , Joris De Ridder , Timothy Van Reeth , Conny Aerts

Change detection is a critical task in earth observation applications. Recently, deep learning-based methods have shown promising performance and are quickly adopted in change detection. However, the widely used multiple encoder and single…

Computer Vision and Pattern Recognition · Computer Science 2023-11-21 Sijie Zhao , Xueliang Zhang , Pengfeng Xiao , Guangjun He

Spatial modulation (SM) is a promising multiple-input multiple-output system used to increase spectral efficiency. The maximum likelihood (ML) decoder jointly detects the transmitted SM symbol, which is of high complexity. In this paper, a…

Information Theory · Computer Science 2020-06-11 Ibrahim Al-Nahhal , Octavia A. Dobre , Salama Ikki

In anticipation of the Gaia astrometric mission, a large sample of spectroscopic binaries has been observed since 2010 with the SOPHIE spectrograph at the Haute--Provence Observatory. Our aim is to derive the orbital elements of…

Eclipsing binary systems (EBs), as foundational objects in stellar astrophysics, have garnered significant attention in recent years. These systems exhibit periodic decreases in light intensity when one star obscures the other from the…

Solar and Stellar Astrophysics · Physics 2025-04-23 Ying Shan , Jing Chen , Zichong Zhang , Liang Wang , Zhiqiang Zou , Min Li

This paper proposes a novel modulation and coding scheme (MCS) selection framework that integrates mutual information (MI) prediction based on vector similarity search (VSS) for massive multi-user multiple-input multiple-output orthogonal…

Signal Processing · Electrical Eng. & Systems 2026-03-30 Fuga Kobayashi , Takumi Takahashi , Shinsuke Ibi , Takanobu Doi , Kazushi Muraoka , Hideki Ochiai

We introduce a new binary detection technique, Binary INformation from Open Clusters using SEDs (binocs), which we show is able to determine reliable stellar multiplicity and masses over a much larger mass range than current approaches.…

Solar and Stellar Astrophysics · Physics 2021-03-10 Benjamin Thompson , Peter M. Frinchaboy , Taylor Spoo , John Donor

Double-lined spectroscopic binaries (SB2s) are one of the main sources of stellar masses, as additional observations are only needed to give the inclinations of the orbital planes in order to obtain the individual masses of the components.…

A spectroscopic technique employing an iodine absorption cell (I_2) to superimpose a reference spectrum onto a stellar spectrum is currently the most widely adopted approach to obtain precision radial velocities of solar-type stars. It has…

Astrophysics · Physics 2009-11-10 Maciej Konacki

In this paper, the novel simultaneously transmitting and reflecting (STAR) reconfigurable intelligent surface (RIS), which enables full-space coverage on users located on both sides of the surface, is investigated in the multi-user mobile…

Information Theory · Computer Science 2022-12-02 Zhenrong Liu , Zongze Li , Miaowen Wen , Yi Gong , Yik-Chung Wu

TESS is finding transiting planet candidates around bright, nearby stars across the entire sky. The large field-of-view, however, results in low spatial resolution, therefore multiple stars contribute to almost every TESS light curve.…

Earth and Planetary Astrophysics · Physics 2020-01-08 Carl Ziegler , Andrei Tokovinin , Cesar Briceno , James Mang , Nicholas Law , Andrew W. Mann

Multivariate Singular Spectrum Analysis (MSSA) is a powerful and widely used nonparametric method for multivariate time series, which allows the analysis of complex temporal data from diverse fields such as finance, healthcare, ecology, and…

Methodology · Statistics 2024-07-08 Fabio Centofanti , Mia Hubert , Biagio Palumbo , Peter J. Rousseeuw

We present a method for identifying false positive double-lined spectroscopic binary (SB2) candidates by analysing medium-resolution survey spectra from the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) DR10.…

Solar and Stellar Astrophysics · Physics 2026-01-21 Zhoulin Wang , Mikhail Kovalev , Jianping Xiong , Yanjun Guo , Xuefei Chen

Automated segmentation of Martian landslides, particularly in tectonically active regions such as Valles Marineris,is important for planetary geology, hazard assessment, and future robotic exploration. However, detecting landslides from…

Computer Vision and Pattern Recognition · Computer Science 2026-03-17 Shahriar Kabir , Abdullah Muhammed Amimul Ehsan , Istiak Ahmmed Rifti , Md Kaykobad Reza

In this paper we detect double-lined spectroscopic binaries (SB2) in five open clusters: NGC 2243, NGC 2420, NGC 3532, NGC 6253 and NGC 6705 (M 11) using a method based on high values of the projected rotational velocity when they are…

Solar and Stellar Astrophysics · Physics 2023-12-11 Mikhail Kovalev , Mariyam Ahmed , Randa Asa'd

The radial velocity (RV) of a single star is easily obtained from cross-correlation of the spectrum with a template, but the treatment of double-lined spectroscopic binaries (SB2s) is more difficult. Two different approaches were applied to…

Instrumentation and Methods for Astrophysics · Physics 2017-10-09 Jean-Louis Halbwachs , Flavien Kiefer , Frédéric Arenou , Benoît Famaey , Patrick Guillout , Rodrigo Ibata , Tsevi Mazeh , Dimitri Pourbaix

In this paper, we introduce novel Twin Parametric Margin Support Vector Machine (TPMSVM) models designed to address multiclass classification tasks under feature uncertainty. To handle data perturbations, we construct bounded-by-norm…

Machine Learning · Computer Science 2026-04-29 Renato De Leone , Francesca Maggioni , Andrea Spinelli