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The light-time effect method, its limitations and applications were studied. A powerful combined method of simultaneous analysis of the O-C diagrams and astrometric orbit in triple eclipsing-astrometric binaries was presented. Eleven…

Astrophysics · Physics 2009-09-29 P. Zasche

Scientists, engineers, biologists, and technology specialists universally leverage image segmentation to extract shape ensembles containing many thousands of curves representing patterns in observations and measurements. These large curve…

Computer Vision and Pattern Recognition · Computer Science 2026-01-09 Zachary Grey , Nicholas Fisher , Andrew Glaws

Neural networks are used extensively in classification problems in particle physics research. Since the training of neural networks can be viewed as a problem of inference, Bayesian learning of neural networks can provide more optimal and…

Data Analysis, Statistics and Probability · Physics 2007-07-09 Michael Pogwizd , Laura Jane Elgass , Pushpalatha C. Bhat

The success of automatic classification of variable stars strongly depends on the lightcurve representation. Usually, lightcurves are represented as a vector of many statistical descriptors designed by astronomers called features. These…

Solar and Stellar Astrophysics · Physics 2016-04-13 Cristóbal Mackenzie , Karim Pichara , Pavlos Protopapas

We analyze multicolor light curves of six totally eclipsing, short-period W UMa binaries and derive, for the first time, their orbital and stellar parameters. The mass ratios are established robustly through an automated q-search procedure…

Solar and Stellar Astrophysics · Physics 2023-02-02 Olivera Latković , Atila Čeki

Because of GAIA's estimated harvest of cca. 10^5 eclipsing binaries (Munari et al. 2001) automative procedures for extracting physical parameters from observations must be introduced. We present preliminary results of automative scripting…

Astrophysics · Physics 2007-05-23 Andrej Prsa

Epilepsy is one of the most common neurological disorders that can be diagnosed through electroencephalogram (EEG), in which the following epileptic events can be observed: pre-ictal, ictal, post-ictal, and interictal. In this paper, we…

Machine Learning · Computer Science 2021-02-12 Jefferson Tales Oliva , João Luís Garcia Rosa

Eclipsing binaries offer a unique opportunity to determine fundamental physical parameters of stars using the constraints on the geometry of the systems. Here we present a reanalysis of publicly available two-color observations of about…

Astrophysics · Physics 2009-03-09 A. Derekas , L. L. Kiss , T. R. Bedding

Discovering interpretable patterns for classification of sequential data is of key importance for a variety of fields, ranging from genomics to fraud detection or more generally interpretable decision-making. In this paper, we propose a…

Machine Learning · Computer Science 2023-02-23 Marine Collery , Philippe Bonnard , François Fages , Remy Kusters

Interstellar and atmospheric extinctions redden the observational photometric data and they should be handled rigorously. This paper simulates the effect of reddening for the modest case of two main sequence T1 = 6500K and T2 = 5500K…

Astrophysics · Physics 2009-11-10 A. Prsa , T. Zwitter

We present results of the combined photometric and spectroscopic analysis of three detached eclipsing binaries, which secondary components are not visible or very hard to identify in the optical spectra - ASAS J052743-0359.7, ASAS…

Breast cancer is one of the leading causes of death across the world in women. Early diagnosis of this type of cancer is critical for treatment and patient care. Computer-aided detection (CAD) systems using convolutional neural networks…

Image and Video Processing · Electrical Eng. & Systems 2019-09-27 Sara Hosseinzadeh Kassani , Peyman Hosseinzadeh Kassani , Michal J. Wesolowski , Kevin A. Schneider , Ralph Deters

Spotted stars in eclipsing binary systems allow us to gather significant information about the stellar surface inhomogeneities that is otherwise impossible from only photometric data. Starspots can be scanned using the eclipse (or transit)…

Raw light curve data from exoplanet transits is too complex to naively apply traditional outlier detection methods. We propose an architecture which estimates a latent representation of both the main transit and residual deviations with a…

Machine Learning · Computer Science 2021-11-17 Christoph J. Hönes , Benjamin Kurt Miller , Ana M. Heras , Bernard H. Foing

We present a methodology to discover outliers in catalogs of periodic light-curves. We use cross-correlation as measure of ``similarity'' between two individual light-curves and then classify light-curves with lowest average ``similarity''…

Astrophysics · Physics 2009-11-11 P. Protopapas , J. M. Giammarco , L. Faccioli , M. F. Struble , R. Dave , C. Alcock

Quantifying image distortions caused by strong gravitational lensing and estimating the corresponding matter distribution in lensing galaxies has been primarily performed by maximum likelihood modeling of observations. This is typically a…

Instrumentation and Methods for Astrophysics · Physics 2017-09-20 Yashar D. Hezaveh , Laurence Perreault Levasseur , Philip J. Marshall

Context. Double eclipsing binaries are gravitationally bound quadruple systems in a 2+2 configuration where both of the binaries are eclipsing. These systems are interesting objects to better understand stellar formation, to investigate the…

Solar and Stellar Astrophysics · Physics 2023-12-15 T. Vaessen , J. van Roestel

The advent of large-scale photometric surveys has led to the discovery of over a million contact binary systems. Conventional light curve analysis methods are no longer adequate for handling such massive datasets. To address this challenge,…

Solar and Stellar Astrophysics · Physics 2025-09-11 Kai Li , Li-Heng Wang , Xiang Gao

CCD photometric observations of the Algol-type eclipsing binary AT Peg have been obtained. The light curves are analyzed with modern techniques and new geometric and photometric elements are derived. A new orbital period analysis of the…

Solar and Stellar Astrophysics · Physics 2015-06-03 Alexios Liakos , Panagiotis Niarchos , Edwin Budding

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…