标题： 缩小RIFT：针对异常GW源的聚焦模拟基础推理以进行解读 显示英文标题

标题： Narrowing RIFT: Focused simulation-based-inference for interpreting exceptional GW sources

摘要： RIFT（快速迭代拟合）参数推理算法提供了一种基于模拟的推理方法，用于高效且高度并行化的引力波源参数推理。之前的RIFT版本保守地优化了对于约束不足的观测的稳健推理。在本文中，我们总结了算法增强和操作点选择，以实现更卓越的紧凑双星的推理。使用之前报道的RIFT/asimov接口，能够高效地对具有可再现设置的事件进行分析，我们证明了最新版本的RIFT可以有效地分析包含进动或偏心效应等成本高昂模型的事件。 显示英文摘要

摘要： The Rapid Iterative FiTting (RIFT) parameter inference algorithm provides a simulation-based inference approach to efficient, highly-parallelized parameter inference for GW sources. Previous editions of RIFT have conservatively optimized for robust inference about poorly constrained observations. In this paper, we summarize algorithm enhancements and operating point choices to enable inference for more exceptional compact binaries. Using the previously-reported RIFT/asimov interface to efficiently perform analyses on events with reproducible settings consistent with past work, we demonstrate that the latest version of RIFT can efficiently analyze events with multiple costly models including the effects of precession or eccentricity.