Multimode ringdown modeling with <tt>qnmfits</tt> and <tt>KerrRingdown</tt>

Abstract Gravitational-wave astronomy is dominated by the study of the inspiral and ringdown phases of the signal. In the last decade, the ringdown community has made large strides in understanding the aftermath of binary black hole mergers through the study of numerical simulations. In this note, we introduce two flavors of fitting algorithms, that have been verified against each other, for the extraction of quasinormal mode amplitudes from ringdown waveforms - qnmfits in Python and KerrRingdown in Mathematica. In addition, these codes are able to simultaneously fit for the remnant mass and spin of the system. Different from other methods, we include a greedy algorithm that automatically chooses which modes to model based on their power content. These tools can be applied to any generic waveform, including those extracted using Cauchy-characteristic Evolution.

Authors

Institutions

Publication Details

Journal
Classical and Quantum Gravity
Published
2025-09-02
DOI
https://doi.org/10.1088/1361-6382/ae0233
Citations
1
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
2.48

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multimode ringdown modeling with <tt>qnmfits</tt> and <tt>KerrRingdown</tt>

Eliot Finch, L. Magaña Zertuche, Leda Gao, Gregory B. Cook
1 citations
Classical and Quantum Gravity
Natural Language Processing Techniques
2.48
article

Multimode ringdown modeling with <tt>qnmfits</tt> and <tt>KerrRingdown</tt>

Eliot Finch, L. Magaña Zertuche, Leda Gao, Gregory B. Cook
article en
1 citations

Abstract

Abstract Gravitational-wave astronomy is dominated by the study of the inspiral and ringdown phases of the signal. In the last decade, the ringdown community has made large strides in understanding the aftermath of binary black hole mergers through the study of numerical simulations. In this note, we introduce two flavors of fitting algorithms, that have been verified against each other, for the extraction of quasinormal mode amplitudes from ringdown waveforms - qnmfits in Python and KerrRingdown in Mathematica. In addition, these codes are able to simultaneously fit for the remnant mass and spin of the system. Different from other methods, we include a greedy algorithm that automatically chooses which modes to model based on their power content. These tools can be applied to any generic waveform, including those extracted using Cauchy-characteristic Evolution.

Classical and Quantum GravityVol. 42(19)
California Institute of Technology (US), Wake Forest University (US), IT University of Copenhagen (DK)
U.S. Department of Energy, National Aeronautics and Space Administration, Mississippi Space Grant Consortium, California Institute of Technology, Sherman Fairchild Foundation, Nuclear Safety and Security Commission
Openalex Percentile: Top 9%
Natural Language Processing Techniques
2.48
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.