Export citation

Export citation

Choose format for download:

Download Citation
  • Access by Xinjiang University

Towards low-latency real-time detection of gravitational waves from compact binary coalescences in the era of advanced detectors

Jing Luan1, Shaun Hooper2,3, Linqing Wen2,3,*, and Yanbei Chen1,†

  • 1Division of Physics, Mathematics, and Astronomy, Caltech, Pasadena, California 91125, USA
  • 2Australian International Gravitational Research Centre, School of Physics, University of Western Australia, 35 Stirling Hwy, Crawley, WA 6009, Australia
  • 3International Centre for Radio Astronomy Research, School of Physics, University of Western Australia, 35 Stirling Hwy, Crawley, WA 6009, Australia

  • *linqing.wen@uwa.edu.au
  • yanbei@tapir.caltech.edu

Phys. Rev. D 85, 102002 – Published 14 May, 2012

DOI: https://doi.org/10.1103/PhysRevD.85.102002

Abstract

Electromagnetic (EM) follow-up observations of gravitational wave events will help shed light on the nature of the sources, and more can be learned if the EM follow-ups can start as soon as the gravitational wave event becomes observable. In this paper, we propose a computationally efficient time-domain algorithm capable of detecting inspiral gravitational waves from coalescing binaries of compact objects with nearly no further delay in addition to the time required to condition the data into a time series of calibrated gravitational-wave strain. Our algorithm, if can be expanded to include sky localization, will serve as the first step towards triggering EM observation before the merger. The key to the efficiency of our algorithm arises from the use of chains of so-called infinite impulse response filters, which filter time-series data recursively. Computational cost is further reduced by a template interpolation technique that requires filtering only done for a “coarse bank”, much sparser than the “fine bank” normally required to sufficiently recover the optimal signal-to-noise ratio: the filter chain of each coarse-bank template is divided into several sections, filtering output from these sections are combined appropriately to reconstruct the output of each of the nearby fine-bank templates. The filter construction and interpolation techniques are illustrated in this paper using Newtonian-chirp waveforms, although these will be generalizable to more accurate post-Newtonian waveforms. Towards future detectors with sensitivity extending to lower frequencies, our algorithm’s computational cost is shown to increase rather insignificantly compared to the conventional time-domain correlation method using finite impulse response filters.

Article Text

References (34)

  1. R. O’Shaughnessy, V. Kalogera, and K. Belczynski, Astrophys. J. 716, 615 (2010).
  2. J. Abadie, B. P. Abbott, R. Abbott, M. Abernathy, T. Accadia, F. Acernese, C. Adams, R. Adhikari, P. Ajith, B. Allen et al., Classical Quantum Gravity 27, 173001 (2010).
  3. D. B. Fox, D. A. Frail, P. A. Price, S. R. Kulkarni, E. Berger, T. Piran, A. M. Soderberg, S. B. Cenko, P. B. Cameron, A. Gal-Yam et al., Nature (London) 437, 845 (2005).
  4. E. Nakar, Phys. Rep. 442, 166 (2007).
  5. L. S. Finn, Phys. Rev. D 46, 5236 (1992).
  6. C. Cutler and É. E. Flanagan, Phys. Rev. D 49, 2658 (1994).
  7. D. Buskulic (Virgo Collaboration and LIGO Scientific Collaboration), Classical Quantum Gravity 27, 194013 (2010).
  8. K. Cannon, R. Cariou, A. Chapman, M. Crispín-Ortuzar, N. Fotopoulos, M. Frei, C. Hanna, E. Kara, D. Keppel, L. Liao et al., Astrophys. J. 748, 136 (2012).
  9. L. R. Rabiner and B. Gold, Theory and Application of Digital Signal Processing (Prentice-Hall, Englewood Cliffs, NJ, 1975).
  10. J. Kanner, T. L. Huard, S. Márka, D. C. Murphy, J. Piscionere, M. Reed, and P. Shawhan, Classical Quantum Gravity 25, 184034 (2008).
  11. K. Cannon, A. Chapman, C. Hanna, D. Keppel, A. C. Searle, and A. J. Weinstein, Phys. Rev. D 82, 044025 (2010).
  12. K. Cannon, C. Hanna, and D. Keppel, Phys. Rev. D 84, 084003 (2011).
  13. A. V. Oppenheim and R. W. Schafer, Digital Signal Processing (Prentice-Hall, Inc., Englewood Cliffs, NJ, 1975).
  14. Because we start off from low enough frequencies, the estimate given here should be very accurate for the purpose of estimating computational cost.

  15. B. J. Owen, Phys. Rev. D 53, 6749 (1996).
  16. B. J. Owen and B. S. Sathyaprakash, Phys. Rev. D 60, 022002 (1999).
  17. R. P. Croce, T. Demma, V. Pierro, I. M. Pinto, and F. Postiglione, Phys. Rev. D 62, 124020 (2000).
  18. R. P. Croce, T. Demma, V. Pierro, I. M. Pinto, D. Churches, and B. S. Sathyaprakash, Phys. Rev. D 62, 121101 (2000).
  19. S. Mitra, S. V. Dhurandhar, and L. S. Finn, Phys. Rev. D 72, 102001 (2005).
  20. S. E. Field, C. R. Galley, F. Herrmann, J. S. Hesthaven, E. Ochsner, and M. Tiglio, Phys. Rev. Lett. 106, 221102 (2011).
  21. B. S. Sathyaprakash and S. V. Dhurandhar, Phys. Rev. D 44, 3819 (1991).
  22. B. P. Abbott, R. Abbott, R. Adhikari, P. Ajith, B. Allen, G. Allen, R. S. Amin, S. B. Anderson, W. G. Anderson, M. A. Arain et al., Rep. Prog. Phys. 72, 076901 (2009).
  23. LIGO Scientific Collaboration, LIGO Document Report No. T-0900288-v2, 2009.
  24. The ET Science Team, Report No. ET-0106B-10, 2011, http://www.et-gw.eu.
  25. S. Hild, S. Chelkowski, and A. Freise, arXiv:0810.0604.
  26. Recall that since match between template at A and signal at A+ΔA is already satisfactory, the next template needs to be placed at A+2ΔA.

  27. S. K. Chung, L. Wen, D. Blair, K. Cannon, and A. Datta, Classical Quantum Gravity 27, 135009 (2010).
  28. S. K. Chung, L. Wen, D. Blair, and K. Cannon, in American Institute of Physics Conference Series (2010), Vol. 1246, p. 207.
  29. S. Hooper, L. Wen, D. Blair, S. K. Chung, Y. Chen, and J. Luan, in Low‐Latency Detection of Gravitational Waves AIP Conf. Proc. No. 1246 (AIP, New York, 2010).
  30. S. Hooper, S. K. Chung, J. Luan, D. Blair, Y. Chen, and L. Wen, arXiv:1108.3186.
  31. B. Allen, W. G. Anderson, P. R. Brady, D. A. Brown, and J. D. E. Creighton, arXiv:gr-qc/0509116 [Phys. Rev. D (to be published)].
  32. S. G. Johnson and M. Frigo, IEEE Trans. Signal Process. 55, 111 (2007).
  33. T. Lundy and J. van Buskirk, Computing 80, 23 (2007).
  34. K. Cannon, C. Hanna, D. Keppel, and A. C. Searle, Phys. Rev. D 83, 084053 (2011).

Sign In to Your Journals Account

Filter

Filter

Article Lookup

Enter a citation