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    Frequency-domain waveform approximants capturing Doppler shifts

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    PhysRevD.99.024025.pdf
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    Author
    Chamberlain, Katie
    Moore, Christopher J.
    Gerosa, Davide
    Yunes, Nicolás
    Affiliation
    Univ Arizona, Steward Observ
    Issue Date
    2019-01-15
    
    Metadata
    Show full item record
    Publisher
    AMER PHYSICAL SOC
    Citation
    Chamberlain, K., Moore, C. J., Gerosa, D., & Yunes, N. (2019). Frequency-domain waveform approximants capturing Doppler shifts. Physical Review D, 99(2), 024025.
    Journal
    PHYSICAL REVIEW D
    Rights
    © 2019 American Physical Society.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    Gravitational-wave astrophysics has only just begun, and as current detectors are upgraded and new detectors are built, many new, albeit faint, features in the signals will become accessible. One such feature is the presence of time-dependent Doppler shifts, generated by the acceleration of the center of mass of the gravitational-wave emitting system. We here develop a generic method that takes a frequency-domain, gravitational-wave model devoid of Doppler shifts and introduces modifications that incorporate them. Building upon a perturbative expansion that assumes the Doppler-shift velocity is small relative to the speed of light, the method consists of the inclusion of a single term in the Fourier phase and two terms in the Fourier amplitude. We validate the method through matches between waveforms with a Doppler shift in the time domain and waveforms constructed with our method for two toy problems: constant accelerations induced by a distant third body and Gaussian accelerations that resemble a kick profile. We find mismatches below similar to 10(-6) for all of the astrophysically relevant cases considered and that improve further at smaller velocities. The work presented here will allow for the use of future detectors to extract new, faint features in the signal from the noise.
    ISSN
    2470-0010
    2470-0029
    DOI
    10.1103/PhysRevD.99.024025
    Version
    Final published version
    Sponsors
    LIGO SURF program at Caltech through NSF [PHY-1460838]; NASA by the Chandra X-ray Center [PF6-170152]; NASA [NAS8-03060, NNX16AB98G, 80NSSC17M0041]; European Union [MaGRaTh-646597, 690904]; NSF CAREER [PHY-1250636]
    Additional Links
    https://link.aps.org/doi/10.1103/PhysRevD.99.024025
    ae974a485f413a2113503eed53cd6c53
    10.1103/PhysRevD.99.024025
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