High Precision Ringdown Modeling: Multimode Fits and BMS Frames
Lorena Maga\~na Zertuche, Keefe Mitman, Neev Khera, Leo C. Stein,, Michael Boyle, Nils Deppe, Fran\c{c}ois H\'ebert, Dante A. B. Iozzo, Lawrence, E. Kidder, Jordan Moxon, Harald P. Pfeiffer, Mark A. Scheel, Saul A., Teukolsky, William Throwe, and Nils Vu

TL;DR
This paper introduces a systematic multimode fitting method for QNM modeling of numerical relativity waveforms, emphasizing the importance of BMS frame matching, leading to significantly improved waveform fits and insights for gravitational wave analysis.
Contribution
It presents a new approach for multimode QNM fitting that accounts for BMS frame matching, substantially enhancing waveform modeling accuracy.
Findings
Multimode fitting reduces strain mismatch by a factor of ~10^5.
Matching BMS frames improves fit quality by ~10^5.
Mapping to the super rest frame yields ~4 times better mismatches than extrapolated waveforms.
Abstract
Quasi-normal mode (QNM) modeling is an invaluable tool for characterizing remnant black holes, studying strong gravity, and testing GR. Only recently have QNM studies begun to focus on multimode fitting to numerical relativity (NR) strain waveforms. As GW observatories become even more sensitive they will be able to resolve higher-order modes. Consequently, multimode QNM fits will be critically important, and in turn require a more thorough treatment of the asymptotic frame at . The first main result of this work is a method for systematically fitting a QNM model containing many modes to a numerical waveform produced using Cauchy-characteristic extraction (CCE), an extraction technique which is known to resolve memory effects. We choose the modes to model based on their power contribution to the residual between numerical and model waveforms. We show that the all-mode…
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