Export citation

Export citation

Choose format for download:

Download Citation
  • Access by Xinjiang University

Data conditioning for gravitational wave detectors: A Kalman filter for regressing suspension violin modes

Lee Samuel Finn* and Soma Mukherjee

  • Center for Gravitational Physics and Geometry, The Pennsylvania State University, University Park, Pennsylvania 16802

  • *Also at Department of Physics and Department of Astronomy and Astrophysics, The Pennsylvania State University, University Park, Pennsylvania 16802; Email address: LSF@Gravity.Phys.PSU.Edu
  • Email address: soma@aei-potsdam.mpg.de

Phys. Rev. D 63, 062004 – Published 23 February, 2001Erratum Phys. Rev. D 67, 109902 (2003)

DOI: https://doi.org/10.1103/PhysRevD.63.062004

Abstract

Interferometric gravitational wave detectors operate by sensing the differential light travel time between free test masses. Correspondingly, they are sensitive to anything that changes the physical distance between the test masses, including physical motion of the masses themselves. In ground-based detectors the test masses are suspended as pendula, in order that they be approximately “free” above the pendulumn frequency. Still, thermal or other excitations of the suspension wires’ violin modes do impart a force on the masses that appears as a strong, albeit narrow-band, “signal” in the detectors waveband. Gravitational waves, on the other hand, change the distance between the test masses without disturbing the suspensions. Consequently, violin modes can confound attempts to observe gravitational waves since “signals” that are correlated with a disturbance of the suspension violin modes are not likely due to a passing gravitational wave. Here we describe the design of a Kalman filter that determines the time-dependent vibrational state of a detector’s suspension “violin” modes from time dependent observations of the detector output. From the estimated state we can predict that component of the detector output due to suspension excitations, thermal or otherwise. The wire state can be examined for evidence of suspension disturbances that might, in the absence of such a diagnostic, be mistaken for gravitational wave signals. Additionally, from the wire state we can subtractively remove the contribution from suspension disturbances, thermal or otherwise, from the detector output, leaving a residual free from this instrumental artifact. We demonstrate the filter’s effectiveness both through numerical simulations and application to real data taken on the LIGO 40 M prototype detector.

Erratum

References (19)

  1. J. Hough, in Proceedings of the 7th Marcel Grossman Meeting, edited by R. T. Jantzen and G. M. Keiser (World Scientific, Singapore, 1996).
  2. A. Abramovici et al., Science 256, 325 (1992).
  3. C. Bradaschia et al., Nucl. Instrum. Methods Phys. Res. A 289, 518 (1990).
  4. K. Kuroda, in Gravitational Waves: Sources and Detectors, edited by I. Ciufolini and F. Fidecaro (World Scientific,Singapore, 1997).
  5. R. Kalman, J. Basic Eng. 82, 35 (1960).
  6. A. Sintes and B. Schutz, Phys. Rev. D 58, 122003 (1998).
  7. A. M. Sintes and B. F. Schutz, Phys. Rev. D 60, 062001 (1999).
  8. B. Allen, GRASP: a data analysis package for gravitational wave detection, 1998, available from 〈http://www.lsc-group.phys.uwm.edu/∼ballen/grasp-distribution〉.
  9. J. M. Lees and J. Park, Comput. Geosci. 21, 199 (1995).
  10. S. Mukherjee and L. S. Finn, in Proceedings of the Third Edoardo Amaldi Conference, edited by S. Meshkov (American Institute of Physics, Melville, NY, 2000), pp. 362–368.
  11. J. L. Doob, Stochastic Processes (Wiley, New York, 1955).
  12. P. J. Brockwell and R. A. Davis, Time Series: Theory and Methods (Springer-Verlag, New York, 1987).
  13. W. Gersch, in New Directions in Time Series Analysis, part II, edited by A. Friedman and W. Miller, Jr. (Springer-Verlag, New York, 1993).
  14. R. G. Brown and P. Y. C. Hwang, Introduction to Random Signals and Applied Kalman Filtering (Wiley, New York, 1997).
  15. G. Gonzalez (private communication).
  16. G. Strang and T. Nguyen, Wavelets and Filter Banks (Wellesley-Cambridge Press, Wellesley, MA, 1996).
  17. H. B. Callen and T. A. Welton, Phys. Rev. 83, 34 (1951).
  18. MATLAB, a technical computing environment for high-performance numeric computations in linear algebra, is a product of The MathWorks, Inc.
  19. A. D. Gillespie, Ph.D. thesis, California Institute of Technology, 1995.

Outline

Information

Sign In to Your Journals Account

Filter

Filter

Article Lookup

Enter a citation