Papers
Topics
Authors
Recent
Search
2000 character limit reached

Exploring Time Delay Interferometry Ranging as a Practical Ranging Approach in the Bayesian Framework

Published 5 Mar 2024 in astro-ph.IM and gr-qc | (2403.03060v5)

Abstract: Time Delay Interferometry (TDI) is an indispensable step in the whole data processing procedure of space-based gravitational wave detection, as it mitigates the overwhelming laser frequency noise, which would otherwise completely bury the gravitational wave signals. Knowledge on the inter-spacecraft optical paths (i.e. delays) is one of the key elements of TDI. Conventional method for inter-spacecraft ranging mainly relies on the pseudo-random noise (PRN) code signal modulated onto the lasers. To ensure the reliability and robustness of this ranging information, it would be highly beneficial to develop other methods which could serve as cross-validations or backups. This paper explores the practical implementation of an alternative data-driven approach - time delay interferometry ranging (TDIR) - as a ranging technique independent of the PRN signal. Distinguished from previous research, our TDIR algorithm significantly relaxes the stringent requirement for clock synchronization imposed by traditional TDI procedure. By framing TDIR as a Bayesian parameter estimation problem and employing a general polynomial parametrization, we demonstrate our algorithm with simulated data based on the numerical orbit of Taiji. In the presence of laser frequency noise and secondary noises, the estimated median values of delays are only 5.28 ns away from the ground truths, capable of suppressing laser frequency noise to the desired level. Additionally, we have also analysed the requirements of mitigating optical bench noise and clock noise on TDIR, and presented an illustrative example for the impact of laser locking.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (31)
  1. B. P. Abbott et al. (LIGO Scientific Collaboration and Virgo Collaboration), Observation of gravitational waves from a binary black hole merger, Phys. Rev. Lett. 116, 061102 (2016).
  2. E. Barausse et al., Prospects for Fundamental Physics with LISA, Gen. Rel. Grav. 52, 81 (2020), arXiv:2001.09793 [gr-qc] .
  3. W.-R. Hu and Y.-L. Wu, The Taiji Program in Space for gravitational wave physics and the nature of gravity, National Science Review 4, 685 (2017), https://academic.oup.com/nsr/article-pdf/4/5/685/31566708/nwx116.pdf .
  4. J. Luo et al. (TianQin), TianQin: a space-borne gravitational wave detector, Class. Quant. Grav. 33, 035010 (2016), arXiv:1512.02076 [astro-ph.IM] .
  5. A. Klein et al., Science with the space-based interferometer eLISA: Supermassive black hole binaries, Phys. Rev. D 93, 024003 (2016), arXiv:1511.05581 [gr-qc] .
  6. C. Caprini et al., Science with the space-based interferometer eLISA. II: Gravitational waves from cosmological phase transitions, JCAP 04, 001, arXiv:1512.06239 [astro-ph.CO] .
  7. M. Tinto and J. W. Armstrong, Cancellation of laser noise in an unequal-arm interferometer detector of gravitational radiation, Phys. Rev. D 59, 102003 (1999).
  8. J. W. Armstrong, F. B. Estabrook, and M. Tinto, Time-Delay Interferometry for Space-based Gravitational Wave Searches, Astrophys. J.  527, 814 (1999).
  9. M. Tinto, F. B. Estabrook, and J. W. Armstrong, Time delay interferometry with moving spacecraft arrays, Phys. Rev. D 69, 082001 (2004a).
  10. M. Tinto and S. V. Dhurandhar, Time-delay interferometry, Living Rev. Relativ. 24 (2021).
  11. M. Tinto, M. Vallisneri, and J. W. Armstrong, Time-delay interferometric ranging for space-borne gravitational-wave detectors, Phys. Rev. D 71, 041101 (2005).
  12. J. Page and T. B. Littenberg, Bayesian time delay interferometry, Phys. Rev. D 104, 084037 (2021).
  13. J. Page and T. B. Littenberg, Bayesian time delay interferometry for orbiting lisa: Accounting for the time dependence of spacecraft separations, Phys. Rev. D 108, 044065 (2023).
  14. W. Yan, Time-delay interferometric ranging for LISA: Statistical analysis of bias-free ranging using laser noise minimization., Ph.D. thesis, Gottfried Wilhelm Leibniz Universitat Hannover (2023).
  15. S. Pireaux, Time scales in LISA, Classical and Quantum Gravity 24, 2271 (2007), arXiv:gr-qc/0703119 [gr-qc] .
  16. M. Tinto, F. B. Estabrook, and J. W. Armstrong, Time delay interferometry with moving spacecraft arrays, Phys. Rev. D 69, 082001 (2004b).
  17. W. Yan, On inter-satellite laser ranging, clock synchronization and gravitational wave data analysis., Ph.D. thesis, Gottfried Wilhelm Leibniz Universitat Hannover (2017).
  18. Y. Wang, G. Heinzel, and K. Danzmann, First stage of lisa data processing: Clock synchronization and arm-length determination via a hybrid-extended kalman filter, Phys. Rev. D 90, 064016 (2014).
  19. M. Tinto and O. Hartwig, Time-Delay Interferometry and Clock-Noise Calibration, Phys. Rev. D 98, 042003 (2018), arXiv:1807.02594 [gr-qc] .
  20. O. Hartwig and J.-B. Bayle, Clock-jitter reduction in lisa time-delay interferometry combinations, Phys. Rev. D 103, 123027 (2021).
  21. J.-B. Bayle and O. Hartwig, Unified model for the LISA measurements and instrument simulations, Phys. Rev. D 107, 083019 (2023), arXiv:2212.05351 [gr-qc] .
  22. O. Hartwig, Instrumental modelling and noise reduction algorithms for the Laser Interferometer Space Antenna., Ph.D. thesis, Gottfried Wilhelm Leibniz Universitat Hannover (2021).
  23. J.-B. Bayle, O. Hartwig, and M. Staab, Adapting time-delay interferometry for lisa data in frequency, Phys. Rev. D 104, 023006 (2021).
  24. S. Barke, Inter-Spacecraft Frequency Distribution for Future Gravitational Wave Observatories, Ph.D. thesis (2015).
  25. G. Wang and W.-T. Ni, Numerical simulation of time delay interferometry for TAIJI and new LISA, Res. Astron. Astrophys. 19, 058 (2019), arXiv:1707.09127 [astro-ph.IM] .
  26. G. Wang, Lisa-like-orbit, https://github.com/gw4gw/LISA-Like-Orbit.git, this is a repository for the LISA-like orbits data shown in paper arXiv:1707.09127.
  27. T. B. Littenberg and N. J. Cornish, Prototype global analysis of lisa data with multiple source types, Phys. Rev. D 107, 063004 (2023).
  28. C. Liu, W.-H. Ruan, and Z.-K. Guo, Confusion noise from Galactic binaries for Taiji, Phys. Rev. D 107, 064021 (2023), arXiv:2301.02821 [astro-ph.IM] .
  29. M. Vallisneri, Use and abuse of the fisher information matrix in the assessment of gravitational-wave parameter-estimation prospects, Phys. Rev. D 77, 042001 (2008).
  30. E. K. Porter and N. J. Cornish, Fisher versus bayes: A comparison of parameter estimation techniques for massive black hole binaries to high redshifts with elisa, Phys. Rev. D 91, 104001 (2015).
  31. G. Wang and W.-T. Ni, Revisiting time delay interferometry for unequal-arm LISA and TAIJI, Phys. Scripta 98, 075005 (2023), arXiv:2008.05812 [gr-qc] .

Summary

No one has generated a summary of this paper yet.

Paper to Video (Beta)

No one has generated a video about this paper yet.

Whiteboard

No one has generated a whiteboard explanation for this paper yet.

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Continue Learning

We haven't generated follow-up questions for this paper yet.

Authors (4)

Collections

Sign up for free to add this paper to one or more collections.

Tweets

Sign up for free to view the 4 tweets with 5 likes about this paper.