arXiv subjects

A. Yelikar

Publications and source records attributed to A. Yelikar.

2 recordsLinked to original sources

arXiv2025

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

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.

astro-ph.IM↗

arXiv2023

Expanding RIFT: Improving performance for GW parameter inference

The Rapid Iterative FiTting (RIFT) parameter inference algorithm provides a framework for efficient, highly-parallelized parameter inference for GW sources. In this paper, we summarize essential algorithm enhancements and operating point choices for the RIFT iterative algorithm, including choices used for analysis of LIGO/Virgo O3 observations. We also describe other extensions to the RIFT algorithm and software ecosystem. Some extensions increase RIFT's flexibility to produce outputs pertinent to GW astrophysics. Other extensions increase its computational efficiency or stability. Using many randomly-selected sources, we assess code robustness with two distinct code configurations, one designed to mimic settings as of LIGO O3 and another employing several performance enhancements. We illustrate RIFT's capabilities with analysis of selected events.

gr-qc↗