Scattering events around the center of massive galaxies will occasionally toss a stellar-mass compact object into an orbit around the massive black hole (MBH) at the center, beginning an extreme mass ratio inspiral (EMRI). The early stages of such a highly eccentric orbit are not likely to produce detectable gravitational waves (GWs), as the source will only be in a suitable frequency band briefly when it is close to periapsis during each long-period orbit. This repeated burst of emission, firmly in the millihertz band, is the GW peep. While a single peep is not likely to be detectable, if we consider an ensemble of such subthreshold sources, spread across the Universe, together they may produce an unresolvable background noise that could obscure sources otherwise detectable by the Laser Interferometer Space Antenna. Previous studies of the extreme mass ratio signal confusion background focused either on parabolic orbits near the MBH or events closer to merger. We seek to improve this characterization by implementing numerical kludge waveforms that can calculate highly eccentric orbits with relativistic effects. Our focus is on orbits at the point of capture that are farther away from the MBH. Here we present the waveforms and spectra of peeps generated from recent calculations of EMRIs/extreme mass ratio bursts capture parameters and discuss how these can be used to estimate the signal confusion noise generated by such events. We demonstrate the effects of changing the orbital parameters on the resulting spectra as well as showing direct comparisons to parabolic orbits and why the GW 'peep' needs to be studied further. The results of this study will be expanded upon in a further paper that aims to provide an update on the EMRI signal confusion noise problem.
Gravitational wave peeps from EMRIs and their implication for LISA signal confusion noise
Abstract
Copyright and License (English)
© 2024 IOP Publishing Ltd.
Acknowledgement (English)
We would like to thank Ben Bogner, Calla Bassett, and Harry O'Mara for their assistance in the early stages of this project as well as Woodrow Gilbertson, Paul Bonney, Erik Monson, and Jonathan Thompson for their helpful discussion.
This research is supported by the Arkansas High Performance Computing Center which is funded through multiple National Science Foundation grants and the Arkansas Economic Development Commission.
A D J acknowledges support from the Caltech and Jet Propulsion Laboratory President's and Director's Fund.
K G acknowledges support from research grant PID2020-1149GB-I00 of the Spanish Ministerio de Ciencia e Innovación.
Software References (English)
This paper utilized SciPy [45], NumPy [46], Matplotlib [47], Mathematica [48], and the Black Hole Perturbation Toolkit [36].
Data Availability (English)
The data that support the findings of this study are openly available at the following URL/DOI: https://zenodo.org/records/10553239 [44].
Additional details
- ISSN
- 1361-6382
- National Science Foundation
- Arkansas Economic Development Commission
- Jet Propulsion Laboratory
- President and Director's Research and Development Fund
- Ministerio de Ciencia, InnovaciĆ³n y Universidades
- PID2020-1149GB-I00
- Caltech groups
- TAPIR