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The Lobster Eye Imager for Astronomy (LEIA) is the pathfinder of the wide-field X-ray telescope used in the Einstein Probe mission. In this study, we present an image of the Virgo Cluster taken by LEIA in the 0.5-4.5 keV band with an…

High Energy Astrophysical Phenomena · Physics 2024-08-02 Wen-Cheng Feng , Shu-Mei Jia , Hai-Hui Zhao , Heng Yu , Hai-Wu Pan , Cheng-Kui Li , Yu-Lin Cheng , Shan-Shan Weng , Yong Chen , Yuan Liu , Zhi-Xing Ling , Chen Zhang

We present X-sifter, a software package designed for near-optimal detection of sources in X-ray images and other forms of photon images in the Poisson-noise regime. The code is based on the Poisson-noise-matched filter (Ofek & Zackay),…

Instrumentation and Methods for Astrophysics · Physics 2024-12-12 Maayane T. Soumagnac , Eran O. Ofek , Shachar S. Israeli , Guy Nir , Imri A. Dickstein

We present SHEEP, a new machine learning approach to the classic problem of astronomical source classification, which combines the outputs from the XGBoost, LightGBM, and CatBoost learning algorithms to create stronger classifiers. A novel…

Instrumentation and Methods for Astrophysics · Physics 2022-10-19 P. A. C. Cunha , A. Humphrey

A large fraction of Fermi-Large Area Telescope (LAT) sources in the fourth Fermi-LAT 14 yr catalog (4FGL) still remain unidentified (unIDed). We continued to improve our machine-learning pipeline and used it to classify 1206 X-ray sources…

High Energy Astrophysical Phenomena · Physics 2024-08-20 Hui Yang , Jeremy Hare , Oleg Kargaltsev

Long gamma-ray bursts (GRBs) are believed to originate from core collapse of massive stars. High-redshift GRBs can probe the star formation and reionization history of the early universe, but their detection remains rare. Here we report the…

High Energy Astrophysical Phenomena · Physics 2024-04-26 Y. Liu , H. Sun , D. Xu , D. S. Svinkin , J. Delaunay , N. R. Tanvir , H. Gao , C. Zhang , Y. Chen , X. -F. Wu , B. Zhang , W. Yuan , J. An , G. Bruni , D. D. Frederiks , G. Ghirlanda , J. -W. Hu , A. Li , C. -K. Li , J. -D. Li , D. B. Malesani , L. Piro , G. Raman , R. Ricci , E. Troja , S. D. Vergani , Q. -Y. Wu , J. Yang , B. -B. Zhang , Z. -P. Zhu , A. de Ugarte Postigo , A. G. Demin , D. Dobie , Z. Fan , S. -Y. Fu , J. P. U. Fynbo , J. -J. Geng , G. Gianfagna , Y. -D. Hu , Y. -F. Huang , S. -Q. Jiang , P. G. Jonker , Y. Julakanti , J. A. Kennea , A. A. Kokomov , E. Kuulkers , W. -H. Lei , J. K. Leung , A. J. Levan , D. -Y. Li , Y. Li , S. P. Littlefair , X. Liu , A. L. Lysenko , Y. -N. Ma , A. Martin-Carrillo , P. O'Brien , T. Parsotan , J. Quirola-Vasquez , A. V. Ridnaia , S. Ronchini , A. Rossi , D. Mata-Sanchez , B. Schneider , R. -F. Shen , A. L. Thakur , A. Tohuvavohu , M. A. P. Torres , A. E. Tsvetkova , M. V. Ulanov , J. -J. Wei , D. Xiao , Y. -H. I. Yin , M. Bai , V. Burwitz , Z. -M. Cai , F. -S. Chen , H. -L. Chen , T. -X. Chen , W. Chen , Y. -F. Chen , Y. -H. Chen , H. -Q. Cheng , C. -Z. Cui , W. -W. Cui , Y. -F. Dai , Z. -G. Dai , J. Eder , D. -W. Fan , C. Feldman , H. Feng , Z. Feng , P. Friedrich , X. Gao , J. Guan , D. -W Han , J. Han , D. -J. Hou , H. -B. Hu , T. Hu , M. -H. Huang , J. Huo , I. Hutchinson , Z. Ji , S. -M. Jia , Z. -Q. Jia , B. -W. Jiang , C. -C. Jin , G. Jin , J. -J. Jin , A. Keereman , H. Lerman , J. -F. Li , L. -H. Li , M. -S. Li , W. Li , Z. -D. Li , T. -Y. Lian , E. -W. Liang , Z. -X. Ling , C. -Z. Liu , H. -Y. Liu , H. -Q. Liu , M. -J. Liu , Y. -R. Liu , F. -J. Lu , H. -J. LU , L. -D. Luo , F. L. Ma , J. Ma , J. -R. Mao , X. Mao , M. McHugh , N. Meidinger , K. Nandra , J. P. Osborne , H. -W. Pan , X. Pan , M. E. Ravasio , A. Rau , N. Rea , U. Rehman , J. Sanders , A. Santovincenzo , L. -M. Song , J. Su , L. -J. Sun , S. -L. Sun , X. -J. Sun , Y. -Y. Tan , Q. -J. Tang , Y. -H. Tao , J. -Z. Tong , H. Wang , J. Wang , L. Wang , W. -X. Wang , X. -F. Wang , X. -Y. Wang , Y. -L. Wang , Y. -S. Wang , D. -M. Wei , R. Willingale , S. -L. Xiong , H. -T. Xu , J. -J. Xu , X. -P. Xu , Y. -F. Xu , Z. Xu , C. -B. Xue , Y. -L. Xue , A. -L. Yan , F. Yang , H. -N. Yang , X. -T. Yang , Y. -J Yang , Y. -W. Yu , J. Zhang , M. Zhang , S. -N. Zhang , W. -D. Zhang , W. -J. Zhang , Y. -H. Zhang , Z. Zhang , Z. Zhang , Z. -L. Zhang , D. -H. Zhao , H. -S. Zhao , X. -F. Zhao , Z. -J. Zhao , L. -X. Zhou , Y. -L. Zhou , Y. -X. Zhu , Z. -C. Zhu , X. -X. Zuo

Machine learning based approaches are emerging as very powerful tools for many applications including source classification in astrophysics research due to the availability of huge high quality data from different surveys in observational…

High Energy Astrophysical Phenomena · Physics 2023-07-05 A. Tolamatti , K. K. Singh , K. K. Yadav

In the era of large all-sky surveys, there will be a need for rapid, automatic classifications of newly discovered transient objects. Our focus here is the classification of supernovae (SNe). We consider random forest machine learning…

High Energy Astrophysical Phenomena · Physics 2020-05-28 Jonathan Markel , Amanda J. Bayless

Gamma-ray bursts (GRBs) are a promising probe of the high-redshift Universe, but their detection remains observationally challenging. In this work, we explore the detectability of high-$z$ GRBs by the Wide-field X-ray Telescope (WXT) aboard…

High Energy Astrophysical Phenomena · Physics 2025-07-21 Jun-Jie Wei , Xue-Feng Wu

The classification of the X-ray sources into classes (such as extragalactic sources, background stars, ...) is an essential task in astronomy. Typically, one of the classes corresponds to extragalactic radiation, whose photon emission…

Statistics Theory · Mathematics 2018-01-22 Amparo Baíllo , Javier Cárcamo , Konstantin V. Getman

The Einstein Telescope (ET), along with other third-generation gravitational wave (GW) detectors, will be a key instrument for detecting GWs in the coming decades. However, analyzing the data and estimating source parameters will be…

The recent launch of Einstein Probe (EP) in early 2024 opened up a new window onto the transient X-ray sky, allowing for real-time discovery and follow-up of fast X-ray transients (FXRTs). Multi-wavelength observations of FXRTs and their…

High Energy Astrophysical Phenomena · Physics 2024-07-29 R. Ricci , E. Troja , Y. Yang , M. Yadav , Y. Liu , H. Sun , X. Wu , H. Gao , B. Zhang , W. Yuan

Fast X-ray Transients (FXTs) represent a new class of highly luminous transients in soft X-rays ($\sim$0.3-10 keV) associated with violent astrophysical processes. They manifest as short, singular flashes of X-ray photons with durations…

The launch of the Einstein Probe (EP) mission has revolutionized the detection and follow-up observations of fast X-ray transients (FXTs) by providing prompt and timely access to their precise localizations. In the first year of its…

Machine learning has emerged as a powerful tool in the field of gamma-ray astrophysics. The algorithms can distinguish between different source types, such as blazars and pulsars, and help uncover new insights into the high-energy universe.…

High Energy Astrophysical Phenomena · Physics 2024-01-05 Gopal Bhatta , Sarvesh Gharat , Abhimanyu Borthakur , Aman Kumar

The identification of light sources represents a task of utmost importance for the development of multiple photonic technologies. Over the last decades, the identification of light sources as diverse as sunlight, laser radiation and…

We conduct X-ray spectral fits on 184 likely counterparts to Fermi-LAT 3FGL unassociated sources. Characterization and classification of these sources allows for more complete population studies of the high-energy sky. Most of these X-ray…

High Energy Astrophysical Phenomena · Physics 2021-03-02 Stephen Kerby , Amanpreet Kaur , Abraham D. Falcone , Michael C. Stroh , Elizabeth C. Ferrara , Jamie A. Kennea , Joseph Colosimo

Fast X-ray Transients (FXTs) are a rare and poorly understood phenomenon with a variety of possible progenitors. The launch of the Einstein Probe (EP) mission has facilitated a rapid increase in the real-time discovery and follow-up of…

This white paper is a summarising report of the Forum on monitoring the transient X-ray Universe in the multi-messenger era organized by the International Space Science Institute in Beijing (ISSI-BJ) on May 6-7, 2014. Time-domain astronomy…

High Energy Astrophysical Phenomena · Physics 2015-06-26 Weimin Yuan , Julian P. Osborne

Context. Serendipitous X-ray surveys have proven to be an efficient way to find rare objects, for example tidal disruption events, changing-look active galactic nuclei (AGN), binary quasars, ultraluminous X-ray sources (ULXs), and…

High Energy Astrophysical Phenomena · Physics 2022-01-26 Hugo Tranin , Olivier Godet , Natalie Webb , Daria Primorac