GOPREAUX I: Open-source Code and Data to Model Multi-wavelength Emission of Extragalactic Transients using Gaussian Processes
NASA Goddard Space Flight Center（NASA戈达德太空飞行中心）；University of Maryland（马里兰大学）；Department of Astronomy, University of Virginia（弗吉尼亚大学天文学系）；Department of Physics, Lehigh University（利哈伊大学物理系）；Rutgers University–New Brunswick, Department of Physics & Astronomy（罗格斯大学新不伦瑞克校区物理与天文学系）；University of Delaware Department of Physics and Astronomy（特拉华大学物理与天文学系）；University of Delaware Joseph R. Biden, Jr. School of Public Policy and Administration（特拉华大学小约瑟夫·R·拜登公共政策与管理学院）；University of Delaware Data Science Institute（特拉华大学数据科学研究所）
C. Pellegrino, T. A. Pritchard, M. Modjaz, A. Crawford, S. Khakpash, F. Bianco
Contemporary all-sky surveys have observed thousands of extragalactic transients in the nearby universe, and upcoming surveys will discover exponentially more at higher redshifts. With these large samples, population-level analysis of the photometric behavior of different transient classes is now possible, allowing for photometric classification and physical parameter inference from relatively sparse individual light curves. To enable such studies, we introduce Gaussian process Optimized Photometric Regression of Extragalactic Archival Ultraviolet-infrared eXplosions, a.k.a GOPREAUX--a Python package for Gaussian Process Regression of multi-wavelength transient photometry. Our modeling is unique in that it interpolates transient emission across phase and wavelength in a non-parametric, data-driven way. This allows for predictions of light curves and spectra at higher redshifts, where the rest-frame ultraviolet (UV) emission is redshifted into the observer-frame optical or infrared. To this end, we aggregate a sample of almost 1,300 transients observed in the UV and optical with the Neil Gehrels Swift Telescope, complemented with additional optical and infrared coverage from surveys such as ZTF and open-source data releases. Our sample includes 275 Type II SNe, 172 stripped-envelope SNe, 72 superluminous SNe, and 58 tidal disruption events, among other classes. Our code and reduced photometry--comprising over 146,000 photometric observations--are available as open-source software and data products. Here we discuss our sample criteria, data reduction and modeling methodologies, the multi-wavelength light curves and spectral templates produced by our models, and the future directions in photometric classification and physical parameter inference this code and data repository enables.
The ASKAP Variables and Slow Transients (VAST) Extragalactic Survey - Data Release 1
The University of Sydney（悉尼大学）；University of Wisconsin-Milwaukee（威斯康星大学密尔沃基分校）；Australia Telescope National Facility, CSIRO Space and Astronomy（澳大利亚望远镜国家设施，CSIRO空间与天文学部）；University of North Carolina at Chapel Hill（北卡罗来纳大学教堂山分校）；The Hebrew University of Jerusalem（耶路撒冷希伯来大学）；University of Toronto（多伦多大学）
Representation Learning for Time-Domain High-Energy Astrophysics: Discovery of Extragalactic Fast X-ray Transient XRT 200515
Institute for Computational and Mathematical Engineering, Stanford University（斯坦福大学计算与数学工程研究所）；University of Cambridge（剑桥大学）；Center for Astrophysics | Harvard & Smithsonian（哈佛-史密森天体物理中心）；INAF – Osservatorio Astrofisico di Torino（意大利国家天体物理研究所都灵天文台）；The University of Sydney（悉尼大学）
SNGuess: A method for the selection of young extragalactic transients
Humboldt-Universität zu Berlin（柏林洪堡大学）；Stockholm University（斯德哥尔摩大学）；California Institute of Technology（加州理工学院）；Deutsches Elektronen-Synchrotron（德国电子同步加速器研究所）
Identification and photometric classification of extragalactic transients in the Vera C. Rubin Observatory's Data Preview 1
University of North Carolina at Chapel Hill（北卡罗来纳大学教堂山分校）；University of Minnesota（明尼苏达大学）；Univ Claude Bernard Lyon 1（里昂第一大学）；NSF NOIRLab（美国国家科学基金会NOIR天文台实验室）；University of Delaware（特拉华大学）；SLAC National Accelerator Laboratory（斯坦福直线加速器中心）；Kavli Institute for Particle Astrophysics and Cosmology, SLAC National Accelerator Laboratory（卡弗里粒子天体物理学与宇宙学研究所（SLAC））；The University of Arizona（亚利桑那大学）；Yonsei University（延世大学）；Duke University（杜克大学）；Princeton University（普林斯顿大学）；NCSA, University of Illinois at Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校国家超级计算应用中心）；University of Washington（华盛顿大学）；Purdue University（普渡大学）；Lawrence Livermore National Laboratory（劳伦斯利弗莫尔国家实验室）
The Zwicky Transient Facility Bright Transient Survey. III. $\texttt{BTSbot}$: Automated Identification and Follow-up of Bright Transients with Deep Learning
Active learning with RESSPECT: Resource allocation for extragalactic astronomical transients
Department of Computer Science University of California Irvine（加利福尼亚大学尔湾分校计算机科学系）；Université Clermont Auvergne CNRS/IN2P3, LPC Clermont Ferrand（克莱蒙费朗大学（Université Clermont Auvergne）、法国国家科学研究中心/法国国家核物理与粒子物理研究所（CNRS/IN2P3）、克莱蒙费朗物理实验室（LPC Clermont Ferrand））；CENTRA-Centro de Astrofísica e Gravitação Universidade de Lisboa（里斯本大学（Universidade de Lisboa）中心天体物理与引力中心（CENTRA-Centro de Astrofísica e Gravitação））；Shanghai Astronomical Observatory Chinese Academy of Sciences（中国科学院上海天文台）；Berkeley Center for Cosmological Physics University of California Berkeley（加利福尼亚大学伯克利分校宇宙物理伯克利中心）；Department of Computer Science University of Houston（休斯顿大学计算机科学系）；Department of Physics and Astronomy The Johns Hopkins University（约翰斯·霍普金斯大学物理与天文系）；Department of Informatics University of California Irvine（加利福尼亚大学尔湾分校信息学系）；NSF’s NOIRLab（美国国家科学基金会国家光学红外天文学研究实验室（NOIRLab））；Gemini Observatory（双子座天文台）
$\texttt{BTSbot}$: A Multi-input Convolutional Neural Network to Automate and Expedite Bright Transient Identification for the Zwicky Transient Facility
The WINTER Observatory: A One-Degree InGaAs Survey Camera to study the Transient Infrared Sky
Harvard & Smithsonian（哈佛-史密森天体物理中心）；Massachusetts Institute of Technology（麻省理工学院）；California Institute of Technology（加州理工学院）；Columbia University（哥伦比亚大学）；University of Maryland, College Park（马里兰大学帕克分校）
