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}
}