1 citations · 1 across the 2 of their papers we have counts for
3 papers
gr-qc2026
Scaling RIFT 1: Extending RIFT to third-generation gravitational-wave analyses
R. O'Shaughnessy, A. Jan, J. Lange +1
Interpretation of compact binary signals observed by third-generation gravitational-wave detectors is complicated by their high signal-to-noise ratios, often reaching hundreds to t…
gr-qc2023★ 1 cited
Low-latency parameter inference enabled by a Gaussian likelihood approximation for RIFT
A. B. Yelikar, V. Delfavero, R. O'Shaughnessy
Rapid identification, characterization, and localization of gravitational waves from binary compact object mergers can enable well-informed follow-on multimessenger observations. I…
gr-qc2022
Expanding RIFT: Improving performance for GW parameter inference
J. Wofford, A. Yelikar, H. Gallagher +10
The Rapid Iterative FiTting (RIFT) parameter inference algorithm provides a framework for efficient, highly-parallelized parameter inference for GW sources. In this paper, we summa…