Towards Precision Gravitational Wave Models with Numerical and Analytical Relativity
- Institution
- University of Mississippi, MS
- Principal investigator
- Leo C Stein
- Funding
- $240K
- Duration
- 2026–2029
Moonbase score
Still being scored
Abstract
Gravitational wave (GW) astronomy is now a fully-fledged observational field, allowing us to learn about the fundamental nature of nonlinear, dynamical, strong gravitational fields when pairs of black holes (BHs) merge with each other. These observations may hint at how Einstein's theory of general relativity (GR) ultimately breaks, as it must at higher energies. Extracting as much science as possible from GW observations requires that the theoretical models of GW signals are at least as good as the experimental data, which is slated to improve by orders of magnitude in the next dozen years. This motivates the need to more carefully model yet more extreme systems. Part I of the research for this award is to analytically model the inspirals and GWs from binaries of spinning BHs on eccentric orbits with misaligned spins. This results in extremely complicated precession of the spins and orbital plane, which to date has only been treated approximately. These analytical waveforms can then be combined with the output of numerical relativity (NR) supercomputer simulations, a process called hybridization, which has never been carried out for eccentric spin-precessing systems. Part II of the research for this award focuses on comparisons across multiple NR codes and multiple methodologies. NR codes are so complicated that it behooves the field to validate their correctness and precision by benchmarking them against each other. An apples-to-apples comparison is only possible after mapping their parameter spaces onto each other, which is nontrivial. This award will construct this mapping and thus compare NR catalogs from different codes to each other. Finally, NR is impractical for binaries with extremely large mass ratios, where the techniques of BH perturbation theory (BHPT) shine. This award will also compare and quantify waveforms from NR and BHPT, focusing in particular on precession for binaries with misaligned spin, which is known to be incomplete in BHPT. Part I of this research component is a major post-Newtonian (PN) modeling and hybridization effort. It involves developing eccentric waveform models ((1) without and (2) with precession of the plane and spins); and (3) incorporating the effects of radiation reaction. All of this is to be done without recourse to averaging, by using near-identity transformations. This sets the stage for these PN results to be incorporated into a robust PN-NR hybridization scheme. Part II of this research component is multiple cross-code and cross-methodology comparisons. The program includes (1) developing common tooling for multiple NR catalogs; (2) mapping different NR catalogs' parameter spaces to a common surrogate reference; (3) generating continuous maps between these catalogs' parameter spaces, and thus comparing them in an apples-to-apples fashion. Then, connecting more with theory, (4) comparing the precession dynamics of precessing inspirals in NR against those computed with the FastEMRIWaveforms code; and (5) computing the torque and force on the primary in the small mass-ratio limit, which has been ignored so far. Finally, the educational component involves producing interactive visualizations to help teach the principles of GR and GW physics. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
LOADING MOONBASE SCORE
Questions for University of Mississippi
Answered by the team behind this research.
No questions yet. Sign in to ask the first one
Related grants
Same institution, same topic, scored first.
- NSF · University of Mississippi55
MRI: Track 1 Acquisition of an Advanced Thermal Scanning Probe Lithography for Multidisciplinary Research and Training in the State of Mississippi
Vignesh Sundaresan · $674K · 2025–2028
- NSF · University of Mississippi54
Rational Design and Mechanistic Understanding of Macrocyclic Catalysts for CO2 Reduction Featuring Redox-Active Ligands
Jonah W Jurss · $600K · 2025–2029
- NIH · University of Mississippi48
Computational Chemistry and Bioinformatics Research Core
Robert J Doerksen · $274K · 2020–2030