The gravitational-wave (GW) detections reported by the LIGO-Virgo-KAGRA (LVK) collaboration have so far been consistent with quasi-circular compact binary coalescences (CBCs). Nevertheless, a small fraction of binaries driven to merge through dynamical interactions in dense stellar environments or in field triples may retain measurable orbital eccentricity when entering the sensitive frequency band of LVK detectors. Confident measurement of eccentricity in the LVK band would provide strong evidence for such dynamically driven mergers; however, eccentric gravitational-waveform models are computationally expensive, and performing production-level inference on all detected signals is not an efficient use of resources when eccentric signals are expected to be rare. An intermediate step between detection and analysis, in which the signal is assessed for the potential presence of eccentricity, could provide quick recommendations for which signals should undergo full eccentric inference. We apply the wavelet scattering transform (WST) to a large set of synthetic waveforms in realistic noise and assess its discriminatory power using simple linear and shallow neural-network classifiers. We find that the WST representation enables effective discrimination between eccentric and quasi-circular binaries and provides a compact multi-scale representation of GW signals. Our approach achieves ~64% percent detection accuracy at a false alarm rate of 10%, with an AUC of 0.844 and an average precision of 0.876. We also examine the ability of our classifiers to distinguish eccentricity from spin-induced precession and find robust performance across a range of spin-precession magnitudes.
Eccentricity evolution of spinning binaries and its dependence on the equation of state of the components
Gran Sasso Science Institute (GSSI)（格兰萨索科学研究所）；INFN, Laboratori Nazionali del Gran Sasso（意大利国家核物理研究所，格兰萨索国家实验室）；Max-Planck-Institut für Gravitationsphysik (Albert-Einstein-Institut)（马克斯·普朗克引力物理学研究所（爱因斯坦研究所））；Leibniz Universität Hannover（汉诺威莱布尼茨大学）
Eccentricity Distribution for Dynamical Gravitational-Wave Merger Channels in The Pinhole Regime
Institute for Advanced Study（高等研究院）；University of Cambridge（剑桥大学）；Gonville & Caius College（贡维尔与凯斯学院）；Princeton University（普林斯顿大学）；Cardiff University（卡迪夫大学）；Niels Bohr International Academy, The Niels Bohr Institute（尼尔斯·玻尔国际学院，尼尔斯·玻尔研究所）
A universal framework to identify eccentric binary mergers: GW200105 case study
Princeton University（普林斯顿大学）；Monash University（蒙纳士大学）；OzGrav: The ARC Centre of Excellence for Gravitational Wave Discovery（引力波发现ARC卓越中心）；Cardiff University（卡迪夫大学）；University of Portsmouth（朴茨茅斯大学）；Max Planck Institute for Astrophysics（马克斯·普朗克天体物理学研究所）
Testing the nature of GW200105 by probing the frequency evolution of eccentricity
Inter-University Centre for Astronomy and Astrophysics（大学天文与天体物理中心）；Department of Physics, Vivekananda Satavarshiki Mahavidyalaya (affiliated to Vidyasagar University)（维韦卡南达萨塔瓦尔希基学院物理系（隶属维迪亚萨加尔大学））
Large-Eccentricity Asymptotics and Fast Analytic Approximation for Fourier modes of Post-Newtonian Eccentric Waveforms
Instituto de Física Téorica UAM-CSIC, Universidad Autónoma de Madrid（马德里自治大学理论物理研究所）；Beijing Normal University（北京师范大学）；Hangzhou Institute for Advanced Study, UCAS（中国科学院大学杭州高等研究院）
