BibTeX

@article{2505.11655v1,
Author        = {Katelyn J. Wagner and R. O'Shaughnessy and A. Yelikar and N. Manning and D. Fernando and J. Lange and V. Tiwari and A. Fernando and D. Williams},
Title         = {Narrowing RIFT: Focused simulation-based-inference for interpreting exceptional GW sources},
Eprint        = {2505.11655v1},
ArchivePrefix = {arXiv},
PrimaryClass  = {astro-ph.IM},
Abstract      = {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.},
Year          = {2025},
Month         = {May},
Url           = {http://arxiv.org/abs/2505.11655v1},
File          = {2505.11655v1.pdf}
}