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Metalenses are composed of nanostructures for focusing light and have been widely explored in many exciting applications. However, their expanding dimensions pose simulation challenges. We propose a method to simulate metalenses in a timely…

Since the dawn of the space age, observations of energetic particles in planetary radiation belts have been interpreted within a diffusive transport framework, even though the processes that populate and deplete these belts produce highly…

Plasma Physics · Physics 2026-04-24 Adnane Osmane , Xin An , Anton Artemyev , Oliver Allanson , Jay Albert , Miroslav Hanzelka

The origin of the long secondary periods (LSPs) in red variables remains a mystery up to now, although there exist many models. The light curves of some LSPs stars mimic an eclipsing binary with a pulsating red giant component. To test this…

Solar and Stellar Astrophysics · Physics 2015-05-18 J. D. Nie , X. B. Zhang , B. W. Jiang

Sco X-1 is a low-mass X-ray binary (LMXB) that has one of the most precisely determined set of binary parameters such as the mass accretion rate, companions mass ratio and the orbital period. For this system, as well as for a large fraction…

Solar and Stellar Astrophysics · Physics 2015-12-23 K. Pavlovskii , N. Ivanova

Long-term traffic prediction has always been a challenging task due to its dynamic temporal dependencies and complex spatial dependencies. In this paper, we propose a model that combines hybrid Transformer and spatio-temporal…

Machine Learning · Computer Science 2024-01-31 Wang Zhu , Doudou Zhang , Baichao Long , Jianli Xiao

In this paper, beam training and beam tracking are investigated for extremely large-scale multiple-input-multiple-output communication systems with partially-connected hybrid combining structures. Firstly, we propose a two-stage…

Information Theory · Computer Science 2023-11-28 Kangjian Chen , Chenhao Qi , Cheng-Xiang Wang , Geoffrey Ye Li

Accurate vehicle trajectory prediction is crucial for ensuring safe and efficient autonomous driving. This work explores the integration of Transformer based model with Long Short-Term Memory (LSTM) based technique to enhance spatial and…

Robotics · Computer Science 2024-12-19 Chandra Raskoti , Weizi Li

Massive binary evolution models are needed to predict massive star populations in star forming galaxies, the supernova diversity, and the number and properties of gravitational wave sources. Such models are often computed using so called…

Solar and Stellar Astrophysics · Physics 2024-10-23 Christoph Schürmann , Norbert Langer , Joana A. Kramer , Pablo Marchant , Chen Wang , Koushik Sen

In this paper, we study the application of switched systems stability criteria to derive delay-dependent conditions for systems affected by both a constant and a time-varying delay. The main novelty of our approach lies on the use of…

Optimization and Control · Mathematics 2022-09-13 Thiago Alves Lima , Matteo Della Rossa , Frédéric Gouaisbaut , Raphaël Jungers , Sophie Tarbouriech

The transit timing variation technique (TTV) has been widely used to detect and characterize multiple planetary systems. Due to the observational biases imposed mainly by the photometric conditions and instrumentation and the high…

Earth and Planetary Astrophysics · Physics 2016-07-14 C. von Essen , S. Cellone , M. Mallonn , B. Tingley , M. Marcussen

Chandra observations of elliptical galaxies have revealed large numbers of Low Mass X-ray Binaries (LMXBs) accreting at rates above 10^-9 solar masses per year. One scenario which generates this transfer rate from an old stellar population…

Astrophysics · Physics 2009-11-07 Anthony L. Piro , Lars Bildsten

Limb-darkening is fundamental in determining transit lightcurve shapes, and is typically modeled by a variety of laws that parametrize the intensity profile of the star that is being transited. Confronted with a transit lightcurve, some…

Earth and Planetary Astrophysics · Physics 2015-05-04 Néstor Espinoza , Andrés Jordán

Traffic predictions play a crucial role in intelligent transportation systems. The rapid development of IoT devices allows us to collect different kinds of data with high correlations to traffic predictions, fostering the development of…

Machine Learning · Computer Science 2024-05-09 Huy Quang Ung , Hao Niu , Minh-Son Dao , Shinya Wada , Atsunori Minamikawa

Beam training and prediction in millimeter-wave communications are highly challenging due to fast time-varying channels and sensitivity to blockages and mobility. In this context, infrastructure-mounted cameras can capture rich…

Signal Processing · Electrical Eng. & Systems 2026-01-29 Mengyuan Ma , Nhan Thanh Nguyen , Nir Shlezinger , Yonina C. Eldar , Markku Juntti

Detached eclipsing binary stars (dEBs) are a key source of data on fundamental stellar parameters. While there is a vast source of candidate systems in the light curve databases of survey missions such as Kepler and TESS, published…

Solar and Stellar Astrophysics · Physics 2025-02-18 Stephen Overall , John Southworth

High Mass X-ray Binary Pulsars (HMXBP), in which the companion star is a source of supersonic stellar wind, provide a laboratory to probe the velocity and density profile of such winds. Here, we have measured the variation of the absorption…

Astrophysics · Physics 2009-11-11 U. Mukherjee , B. Paul

Aims. We present an implementation of an algorithm for 3D time-dependent Monte Carlo radiative transfer. It allows one to simulate temperature distributions as well as images and spectral energy distributions of the scattered light and…

Instrumentation and Methods for Astrophysics · Physics 2022-12-14 A. Bensberg , S. Wolf

Neutron stars in high-mass X-ray binaries (HMXBs) generally accrete from the wind matter of their massive companion stars. Recently Shakura et al. (2012) suggested a subsonic accretion model for low-luminosity ($<4\times 10^{36}$…

High Energy Astrophysical Phenomena · Physics 2016-06-29 Tao Li , Yong Shao , Xiang-Dong Li

Simultaneous multiwavelength studies of X-ray binaries have been remarkably successful and resulted in improved physical constraints, a new understanding of the dependence of mass accretion rate on X-ray state, as well as insights on the…

Astrophysics · Physics 2009-06-23 Saeqa D. Vrtilek

We investigate the feasibility of modelling turbulence via numeric functional integration. By transforming the Burgers' equation into a functional integral we are able to calculate equal-time spatial correlation of system variables using…

Computational Physics · Physics 2018-03-22 I. Honkonen , J. Honkonen