发表机构
Johns Hopkins University; Space Telescope Science Institute; Artificial Intelligence for Physics Laboratory (Lab-IA); Centro Brasileiro de Pesquisas Físicas (CBPF); Center for Interdisciplinary Exploration and Research in Astrophysics (CIERA), Northwestern University; Department of Astronomy and Astrophysics, University of California, Santa Cruz; Space Science Institute; Lawrence Livermore National Laboratory; Astroparticle Physics Laboratory, NASA Goddard Space Flight Center（约翰斯·霍普金斯大学; 太空望远镜科学研究所; 物理人工智能实验室（Lab-IA）; 巴西物理研究中心（CBPF）; 西北大学跨学科天体物理探索与研究中心（CIERA）; 加州大学圣克鲁兹分校天文与天体物理系; 太空科学研究所; 劳伦斯利弗莫尔国家实验室; NASA戈达德太空飞行中心高能粒子物理实验室）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
Teglon是一个开源流程，通过星系完备度与定位体积卷积生成后验图，优化引力波电磁对应体搜索，减少搜索面积并提升小视场仪器效率。
AI 中文摘要
我们描述了Teglon，一个开源数据库与分析流程，旨在优化对引力波（GW）源电磁（EM）对应体的搜索。Teglon根据输入的星系目录构建三维星系完备度度量，并将其与引力波事件的三维定位体积进行卷积，生成由已知星系分布更新的后验概率图。使用Teglon，用户可以输入任意仪器视场——或直接从Treasure Map下载——以生成动态观测计划，该计划可在目标星系指向与区域拼接之间无缝插值。通过将观测努力集中于高概率体积，Teglon显著减少了寻找电磁对应体所需的预测搜索面积，并提高了观测效率，尤其适用于小视场（≤1平方度）仪器，如南希·格雷斯·罗曼太空望远镜。此外，Teglon与Redback集成，以计算像素级模型探测效率，从而支持自定义的、针对特定事件的观测策略，或在任意电磁瞬变模型网格上进行回顾性探测效率计算。Teglon还支持自定义科学案例，例如优先搜索活动星系核以寻找双黑洞并合事件的电磁对应体。Teglon已支持Gravity Collective及相关项目，从LIGO-Virgo-KAGRA第三次观测运行（O3）到O4，并正在持续开发以支持O5及以后。我们记录了公共仓库的谱系与打包方式，并提供2.0版作为社区的开源工具。
英文摘要
We describe Teglon, an open-source database and analysis pipeline engineered to optimize the search for electromagnetic (EM) counterparts to gravitational wave (GW) sources. Teglon constructs a 3D galaxy completeness metric from an input galaxy catalog and convolves it with the 3D localization volume of a GW event, producing an updated posterior map informed by known galaxy distributions. Using Teglon, users can ingest arbitrary instrument footprints --- or download them directly from the Treasure Map --- to generate dynamic observation plans that seamlessly interpolate between targeted galaxy pointing and region tiling. By focusing efforts on high-probability volumes, Teglon significantly reduces the predicted search area to find EM counterparts and increases observational efficiency, especially for small field-of-view (<= 1 deg^2) instruments like the Nancy Grace Roman Space Telescope. Furthermore, Teglon integrates with Redback to calculate pixel-level model detection efficiencies, enabling custom, event-specific observing strategies or retrospective detection efficiencies on an arbitrary grid of EM transient models. Teglon also supports custom science cases, such as prioritizing Active Galactic Nuclei searches for EM counterparts to binary black hole mergers. Having supported Gravity Collective and related programs from the LIGO-Virgo-KAGRA third observing run (O3) through O4, Teglon is being continuously developed to support O5 and beyond. We document the public repository lineage and packaging, and provide Version 2.0 as an open-source tool for the community.
Comments21 pages, 6 figures, 3 tables; submitted to PASP
