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We present the first systematic search for microlensing events with variability in their baselines using data from the third phase of the Optical Gravitational Lensing Experiment (OGLE-III). A total of 137 candidates (88 new) was discovered…

We present a sample of 28 objects at z<0.3 from Data Release 16 of the Sloan Digital Sky Survey (SDSS DR16) with large velocity offset (> 200 km/s) of narrow H$\beta$ and H$\alpha$ emission lines relative to absorption lines. Diagnostic…

Astrophysics of Galaxies · Physics 2025-11-18 Zheng Qi , Zhang Xueguang , Yuan Qirong

This paper presents a novel anomaly and outlier detection algorithm from the SPINEX (Similarity-based Predictions with Explainable Neighbors Exploration) family. This algorithm leverages the concept of similarity and higher-order…

Machine Learning · Computer Science 2024-07-09 MZ Naser , Ahmed Z Naser

In this work, we propose several enhancements to a geometric transformation based model for anomaly detection in images (GeoTranform). The model assumes that the anomaly class is unknown and that only inlier samples are available for…

Computer Vision and Pattern Recognition · Computer Science 2020-05-19 Esteban Reyes , Pablo A. Estévez

Anomaly detection is important for industrial automation and part quality assurance, and while humans can easily detect anomalies in components given a few examples, designing a generic automated system that can perform at human or above…

Computer Vision and Pattern Recognition · Computer Science 2022-04-22 Anthony Garland , Kevin Potter , Matt Smith

Anomaly detection plays in many fields of research, along with the strongly related task of outlier detection, a very important role. Especially within the context of the automated analysis of video material recorded by surveillance…

Computer Vision and Pattern Recognition · Computer Science 2019-08-09 Thomas Golda , Nils Murzyn , Chengchao Qu , Kristian Kroschel

We present Tails, an open-source deep-learning framework for the identification and localization of comets in the image data of the Zwicky Transient Facility (ZTF), a robotic optical time-domain survey currently in operation at the Palomar…

We present a survey of molecular outflows across the dark cloud complex in the Cygnus region, based on 46.75 deg^2 field of CO isotopologues data from Milky Way Imaging Scroll Painting (MWISP) survey. A supervised machine learning…

Solar and Stellar Astrophysics · Physics 2020-05-13 Shaobo Zhang , Ji Yang , Ye Xu , Xuepeng Chen , Yang Su , Yan Sun , Xin Zhou , Yingjie Li , Dengrong Lu

Aims. We aim to find more eclipsing multiple systems and obtain their parameters, thus increasing our understanding of multiple systems. Methods. The extraneous eclipses on the \textit{kepler} binary light curves indicating extraneous…

Solar and Stellar Astrophysics · Physics 2018-03-28 J. Zhang , S. B. Qian , S. M. Wang , L. L. Sun , Y. Wu , L. Q. Jiang

We have created 0.3--10 keV, 13 year, unabsorbed luminosity lightcurves for 528 X-ray sources in the central 20' of M31. We have 174 Chandra observations spaced at ~1 month intervals thanks to our transient monitoring program, deeper…

High Energy Astrophysical Phenomena · Physics 2015-06-17 R. Barnard , M. R. Garcia , F. Primini , Z. Li , F. Baganoff , S. S. Murray

Visual Anomaly Detection (VAD) is a critical task for many applications including industrial inspection and healthcare. While VAD has been extensively studied, two key challenges remain largely unaddressed in conjunction: edge deployment,…

Computer Vision and Pattern Recognition · Computer Science 2026-04-09 Manuel Barusco , Francesco Borsatti , David Petrovic , Davide Dalle Pezze , Gian Antonio Susto

Increasing deployment of photovoltaic (PV) plants requires methods for automatic detection of faulty PV modules in modalities, such as infrared (IR) images. Recently, deep learning has become popular for this. However, related works…

Computer Vision and Pattern Recognition · Computer Science 2021-12-07 Lukas Bommes , Mathis Hoffmann , Claudia Buerhop-Lutz , Tobias Pickel , Jens Hauch , Christoph Brabec , Andreas Maier , Ian Marius Peters

We present followup optical g', r', and i', imaging and spectroscopy of serendipitous X-ray sources detected in 6 archival Chandra, images included in the Chandra, Multiwavelength Project (ChaMP). Of the 486 X-ray sources detected between…

We conduct a systematic search for periodic variables in the hot subdwarf catalogue using data from the Zwicky Transient Facility. We present the classification of 67 HW Vir binaries, 496 reflection effect, pulsation or rotation sinusoids,…

Solar and Stellar Astrophysics · Physics 2023-07-31 Kevin Wang , Thomas Kupfer , Brad N. Barlow

The Kepler mission, despite its conclusion over a decade ago, continues to offer a rich dataset for uncovering new astrophysical objects and phenomena. In this study, we conducted a comprehensive search for exocometary transit signatures…

Earth and Planetary Astrophysics · Physics 2026-01-14 Pierre Dumond , Alain Lecavelier des Etangs , Flavien Kiefer , Guillaume Hébrard , Vincent Caillé

Variability detected in galaxies is usually attributed to their active galactic nuclei (AGNs). While all AGNs are intrinsically variable, the AGN unification model predicts that type~2 AGNs rarely vary because their engines are blocked by…

Astrophysics of Galaxies · Physics 2026-02-17 Bangzheng Sun , Haojing Yan , Wei Leong Tee , Feige Wang

We examined 134 Chandra observations of the population of X-ray sources associated with globular clusters (GCs) in the central region of M31. These are expected to be X-ray binary systems (XBs), consisting of a neutron star or black hole…

High Energy Astrophysical Phenomena · Physics 2015-06-04 R. Barnard , M. Garcia , S. S. Murray

We present new data for four candidate obscured Compton-Thick (CT) quasars at z $\sim$1-2.5 observed with SINFONI VLT spectrograph in AO mode. These sources were selected from a 24$\mu$m Spitzer MIPS survey of the COSMOS field, on the basis…

Astrophysics of Galaxies · Physics 2015-11-04 M. Perna , M. Brusa , M. Salvato , G. Cresci , G. Lanzuisi , S. Berta , I. Delvecchio , F. Fiore , D. Lutz , E. Le Floc'h , V. Mainieri , L. Riguccini

Detection of object anomalies is crucial in industrial processes, but unsupervised anomaly detection and localization is particularly important due to the difficulty of obtaining a large number of defective samples and the unpredictable…

Computer Vision and Pattern Recognition · Computer Science 2022-12-16 Ruiqing Yan , Fan Zhang , Mengyuan Huang , Wu Liu , Dongyu Hu , Jinfeng Li , Qiang Liu , Jinrong Jiang , Qianjin Guo , Linghan Zheng