Gupta, Priti and Speri, Lorenzo and Bonga, Béatrice and Chua, Alvin J. K. and Tanaka, Takahiro (2022) Modeling transient resonances in extreme-mass-ratio inspirals. Physical Review D, 106 (10). Art. No. 104001. ISSN 2470-0010. doi:10.1103/physrevd.106.104001. https://resolver.caltech.edu/CaltechAUTHORS:20221128-494241100.33
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Abstract
Extreme-mass-ratio inspirals (EMRIs) are one of the most exciting and promising target sources for space-based interferometers (such as LISA, Taiji, and TianQin). The observation of their emitted gravitational waves will offer stringent tests on general theory of relativity and provide a wealth of information about the dense environment in galactic centers. To unlock such potential, it is necessary to correctly characterize EMRI signals. However, resonances are a phenomena that occurs in EMRI systems and can impact parameter inference, and therefore the science outcome, if not properly modeled. Here, we explore how to model resonances and develop an efficient implementation. Our previous work has demonstrated that tidal resonances induced by the tidal field of a nearby astrophysical object alters the orbital evolution, leading to a significant dephasing across observable parameter space. Here, we extensively explore a more generic model for the tidal perturber with additional resonance combinations, to study the dependence of resonance strength on the intrinsic orbital and tidal parameters. To analyze the resonant signals, accurate templates that correctly incorporate the effects of the tidal field are required. The evolution through resonances is obtained using a step function, whose amplitude is calculated using an analytic interpolation of the resonance jumps. We benchmark this procedure by comparing our approximate method to a numerical evolution. We find that there is no significant error caused by this simplified prescription, as far as the astronomically reasonable range in the parameter space is concerned. Further, we use Fisher matrices to study both the measurement precision of parameters and the systematic bias due to inaccurate modeling. Modeling of self-force resonances can also be carried out using the implementation presented in this study, which will be crucial for EMRI waveform modeling.
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Additional Information: | We thank Soichiro Isoyama for the helpful discussions. This work makes use of the Black Hole Perturbation Toolkit [52]. P. G. is supported by JSPS fellowship and KAKENHI Grant No. 21J15826. A. J. K. C. acknowledges support from the NASA LISA Preparatory Science Grant No. 20-LPS20-0005. T. T. is supported by JSPS KAKENHI Grant No. JP17H06358 (and also Grant No. JP17H06357), A01: Testing gravity theories using gravitational waves, as a part of the innovative research area, “Gravitational wave physics and astronomy: Genesis,” and also by Grant No. JP20K03928. | ||||||||||||
Group: | TAPIR | ||||||||||||
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Issue or Number: | 10 | ||||||||||||
DOI: | 10.1103/physrevd.106.104001 | ||||||||||||
Record Number: | CaltechAUTHORS:20221128-494241100.33 | ||||||||||||
Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20221128-494241100.33 | ||||||||||||
Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||||||||||
ID Code: | 118072 | ||||||||||||
Collection: | CaltechAUTHORS | ||||||||||||
Deposited By: | Research Services Depository | ||||||||||||
Deposited On: | 17 Dec 2022 04:24 | ||||||||||||
Last Modified: | 19 Dec 2022 16:25 |
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