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arXiv 2603.04342astro-ph.HEastro-ph.IM
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一种集成经纪人的算法用于O4a和O4b运行中引力波-电磁对应体搜索

A Broker Integrated Algorithm for Gravitational Wave - Electromagnetic Counterpart Searches in O4a and O4b Runs

Universidad de Chile(智利大学);Data and Artificial Intelligence Initiative (IDIA), Faculty of Physical and Mathematical Sciences, Universidad de Chile(智利大学物理与数学科学学院数据与人工智能倡议(IDIA));Centro de Excelencia en Astrofisica y Technologia Afines(天体物理学及相关技术卓越中心);Millennium Institute of Astrophysics(天体物理学千年研究所);Center for Mathematical Modeling, Universidad de Chile(智利大学数学建模中心);Physik-Institut, Universität Zürich(苏黎世大学物理研究所);Pontificia Universidad Católica de Chile(智利天主教 Pontificia 大学)
Hemanth Bommireddy, Francisco Forster, Isaac McMahon, Manuel Pavez Herrera, Regis Cartier, Felipe Olivares Estay, Lorena Hernández García, Mary Loli Martínez Al… 展开作者

Hemanth Bommireddy, Francisco Forster, Isaac McMahon, Manuel Pavez Herrera, Regis Cartier, Felipe Olivares Estay, Lorena Hernández García, Mary Loli Martínez Aldama, Alejandra Muñoz Arancibia

AI总结:

本文提出一种自动化框架,利用ZTF警报通过ALeRCE经纪人搜索LIGO-Virgo-KAGRA引力波超事件的光学对应体,通过机器学习和光谱交叉匹配识别潜在的双黑洞并合候选体。

摘要:

我们提出了一种自动化框架,利用公开的Zwicky瞬态设施(ZTF)警报通过ALeRCE经纪人搜索LIGO-Virgo-KAGRA(LVK)引力波(GW)超事件的光学对应体。目标是过滤并识别可能与双黑洞(BBH)并合相关的光学瞬变体,在LVK O4a和O4b观测运行中。利用自动学习快速分类事件(ALeRCE)基础设施,我们在引力波定位区域对ZTF警报进行空间查询,并应用机器学习分类器、宿主星系交叉匹配和200天内的时间切片,以隔离可能的候选者。我们的搜索在O4a中得到一个候选者,在O4b中得到四个候选者,其中几个与超新星或潮汐破坏事件的范围一致。这项工作表明,公开警报经纪人可以为当前和未来的观测运行中引力波超事件的电磁对应体系统搜索建立稳健的基础。我们的算法为所有重要的LVK引力波超事件提供了一种系统的方法,利用巡天望远镜警报搜索BBH对应体。该搜索与相关分析相结合,证明了对应体候选者的显著性,其中有一个候选者最终被确认为一种与现在被弃用的活动星系核(AGN)的Bowen荧光 flare 一致的瞬变事件。

英文摘要:

We present an automated framework to search for optical counterparts of LIGO-Virgo-KAGRA (LVK) gravitational wave (GW) superevents using public Zwicky Transient Facility (ZTF) alerts processed through the ALeRCE broker. The goal is to filter and identify optical transients potentially associated with binary black hole (BBH) mergers during the LVK O4a and O4b observing runs. Using the Automatic Learning for the Rapid Classification of Events (ALeRCE) infrastructure, we spatially query ZTF alerts within GW localization regions and apply machine learning classifiers, host-galaxy crossmatching, and temporal cuts within 200 days post-merger to isolate plausible candidates. Our search yielded one candidate in O4a and four in O4b, several consistent with the supernova or tidal disruption event regime. This work demonstrates that public alert brokers can establish a robust baseline for systematic searches for electromagnetic counterparts to GW superevents in current and future observing runs. Our algorithm provides a systematic approach to search for BBH counterparts for all significant LVK GW superevents using survey telescope alerts. The search, together with the accompanying analysis, demonstrates the significance of the counterpart candidates, with one candidate ultimately identified as a transient event consistent with a Bowen fluorescence flare in a now discarded active galactic nucleus (AGN).

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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