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In this work we report the discovery and analysis of six new compact triply eclipsing triple star systems found with the TESS mission: TICs 37743815, 42565581, 54060695, 178010808, 242132789, and 456194776. All of these exhibit distinct…

NASA's TESS mission has unveiled a plethora of eclipsing binaries (EBs), among them hundreds of triples and higher order, hierarchical systems. These complex targets require follow-up observations to enable full characterization of system…

Detached eclipsing binary stars (dEBs) are a key source of data on fundamental stellar parameters. Within the light curve databases of survey missions such as Kepler and TESS are a wealth of new systems awaiting characterisation. We aim to…

Instrumentation and Methods for Astrophysics · Physics 2025-10-27 Stephen Overall , John Southworth

In this work, six convolutional neural networks (CNNs) have been trained based on %different feature images and arrays from the database including 15,638 superflare candidates on solar-type stars, which are collected from the three-years…

Solar and Stellar Astrophysics · Physics 2022-09-19 Zuo-Lin Tu , Qin Wu , Wenbo Wang , G. Q. Zhang , Zi-Ke Liu , F. Y. Wang

The primary aim of this research is to evaluate several convolutional neural network-based object detection algorithms for identifying oscillation-like patterns in light curves of eclipsing binaries. This involves creating a robust…

Solar and Stellar Astrophysics · Physics 2025-01-30 Burak Ulaş , Tamás Szklenár , Róbert Szabó

The Comprehensive Research with Echelles on the Most interesting Eclipsing binaries (CR\'EME) projects was aimed to collect high-resolutions spectra of about 380 detached eclipsing binaries (DEBs), which mostly do not have literature RV…

Solar and Stellar Astrophysics · Physics 2024-12-18 Krzysztof G. Hełminiak , Ayush Moharana , Tilak B. Pawar , Ganesh Pawar

We introduce a new machine learning based technique to detect exoplanets using the transit method. Machine learning and deep learning techniques have proven to be broadly applicable in various scientific research areas. We aim to exploit…

Earth and Planetary Astrophysics · Physics 2022-01-05 Abhishek Malik , Benjamin P. Moster , Christian Obermeier

NASA's Transiting Exoplanet Survey Satellite (TESS) presents us with an unprecedented volume of space-based photometric observations that must be analyzed in an efficient and unbiased manner. With at least $\sim1,000,000$ new light curves…

The Transiting Exoplanet Survey Satellite (TESS) is surveying a large fraction of the sky, generating a vast database of photometric time series data that requires thorough analysis to identify exoplanetary transit signals. Automated…

Earth and Planetary Astrophysics · Physics 2025-04-15 Helem Salinas , Rafael Brahm , Greg Olmschenk , Richard K. Barry , Karim Pichara , Stela Ishitani Silva , Vladimir Araujo

Identifying long-period eclipsing binaries with space-based photometry is still a challenge even in the century of space telescopes due to the relatively short observation sequences and short lifetime of these missions. The Transiting…

Solar and Stellar Astrophysics · Physics 2022-09-21 T. Hajdu , B. Matécsa , J. M. Sallai , A. Bódi

We present a novel approach for classifying stars as binary or exoplanet using deep learning techniques. Our method utilizes feature extraction, wavelet transformation, and a neural network on the light curves of stars to achieve…

Instrumentation and Methods for Astrophysics · Physics 2023-05-22 Aman Kumar , Sarvesh Gharat

We present the first evidence for the binarity of four targets in the TESS field. The temperatures are estimated by SED analysis and the orbital periods are determined. The TESS light curves of the systems are analysed and the orbital and…

Solar and Stellar Astrophysics · Physics 2022-01-05 Burak Ulas

Accurately and rapidly classifying exoplanet candidates from transit surveys is a goal of growing importance as the data rates from space-based survey missions increases. This is especially true for NASA's TESS mission which generates…

We present high-precision light curves of several M- and K-type, active detached eclipsing binaries (DEBs), recorded with 2-minute cadence by the Transiting Exoplanet Survey Satellite (TESS). Analysis of these curves, combined with new and…

Solar and Stellar Astrophysics · Physics 2020-09-30 Krzysztof G. Hełminiak , Andrés Jordán , Nestor Espinoza , Rafael Brahm

We present the discovery of 52 eclipsing quadruple star candidates detected in TESS Full Frame Image eleanor data by machine learning and citizen scientists. The uniformly-vetted and -validated targets exhibit two sets of eclipses following…

Pulsations and binarity are both common features of massive stars. The study of pulsating massive stars in eclipsing binary systems hold great potential for constraining stellar structure and evolution theory. However, prior to the all-sky…

Solar and Stellar Astrophysics · Physics 2022-04-13 John Southworth , Dominic M. Bowman

In the first paper of this series we presented EBAS, a new fully automated algorithm to analyse the lightcurves of eclipsing binaries, based on the EBOP code. Here we apply the new algorithm to the whole sample of 2580 binaries found in the…

Astrophysics · Physics 2009-11-11 Tsevi Mazeh , Omer Tamuz , Pierre North

Aims. We search for transiting circumbinary (CB) planets around eclipsing binaries (EBs). Methods. CB-BLS is a recently-introduced algorithm for the detection of transiting CB planets around EBs.We describe progress in search sensitivity,…

Earth and Planetary Astrophysics · Physics 2015-05-13 A. Ofir , H. J. Deeg , C. H. S. Lacy

Asteroseismology coupled with eclipsing binary modelling shows a great potential in improving the efficiency of measurements or calibrations of the interior mixing profile in massive stars. This helps, for instance in treating the…

Solar and Stellar Astrophysics · Physics 2024-04-18 C. I. Eze , G. Handler

We present a catalog of 97 uniformly-vetted candidates for quadruple star systems. The candidates were identified in TESS Full Frame Image data from Sectors 1 through 42 through a combination of machine learning techniques and visual…