# Detection of Oscillation-like Patterns in Eclipsing Binary Light Curves using Neural Network-based Object Detection Algorithms Source: [Detection of Oscillation-like Patterns in Eclipsing Binary Light Curves using Neural Network-based Object Detection Algorithms]() Collection index: [llms.txt]() Data updated: 2025-10-25T07:11:36.738Z Authors: Burak Ula\\c{s}, Tam\\'as Szklen\\'ar, R\\'obert Szab\\'o Published: 2025-01-29T10:12:05.000Z ## Abstract 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 detection framework that can effectively process both synthetic light curves and real observational data. The study employs several state-of-the-art object detection algorithms, including Single Shot MultiBox Detector, Faster Region-based Convolutional Neural Network, You Only Look Once, and EfficientDet besides a custom non-pretrained model implemented from scratch. Synthetic light curve images and images derived from observational TESS light curves of known eclipsing binaries with a pulsating component were constructed with corresponding annotation files using custom scripts. The models were trained and validated on established datasets, followed by testing on unseen {\\it{Kepler}} data to assess their generalization performance. The statistical metrics are also calculated to review the quality of each model. The results indicate that the pre-trained models exhibit high accuracy and reliability in detecting the targeted patterns. Faster R-CNN and You Only Look Once, in particular, showed superior performance in terms of object detection evaluation metrics on the validation dataset such as mAP value exceeding 99\\%. Single Shot MultiBox Detector, on the other hand, is the fastest although it shows slightly lower performance with a mAP of 97\\%. These findings highlight the potential of these models to contribute significantly to the automated determination of pulsating components in eclipsing binary systems, facilitating more efficient and comprehensive astrophysical investigations. ## Recorded benchmark results A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. ## Original sources and implementation [Original paper]() [PDF]()