Published April 15, 2009 | Version Published
Journal Article Open

Strategies for the characteristic extraction of gravitational waveforms

  • 1. ROR icon Marshall University
  • 2. ROR icon University of South Africa
  • 3. ROR icon Max Planck Institute for Gravitational Physics
  • 4. ROR icon California Institute of Technology
  • 5. ROR icon University of Pittsburgh

Abstract

We develop, test, and compare new numerical and geometrical methods for improving the accuracy of extracting waveforms using characteristic evolution. The new numerical method involves use of circular boundaries to the stereographic grid patches which cover the spherical cross sections of the outgoing null cones. We show how an angular version of numerical dissipation can be introduced into the characteristic code to damp the high frequency error arising form the irregular way the circular patch boundary cuts through the grid. The new geometric method involves use of the Weyl tensor component Psi4 to extract the waveform as opposed to the original approach via the Bondi news function. We develop the necessary analytic and computational formula to compute the O(1/r) radiative part of Psi4 in terms of a conformally compactified treatment of null infinity. These methods are compared and calibrated in test problems based upon linearized waves.

Additional Information

© 2009 American Physical Society. Received 6 August 2008; published 7 April 2009. We thank Thomas Maedler for checking the calculations in Sec. IIIB and G. L. Browning for correspondence concerning the application of stereographic patches in computational fluid dynamics. N. T. B. thanks Max-Planck- Institut fu¨r Gravitationsphysik, Albert-Einstein-Institut for hospitality; B. S. thanks University of South Africa for hospitality; and M. C. B. thanks University of Pittsburgh for hospitality. We have benefited from the use of the Cactus Computational Toolkit (http://www.cactuscode. org). Computer time was provided by the Pittsburgh Supercomputing Center through TeraGrid Wide Roaming Access Computational Resources , and we owe special thanks to R. Go´mez for his assistance. This work was supported by the Sherman Fairchild Foundation and the National Science Foundation under grants PHY-061459 and PHY-0652995 to the California Institute of Technology; the National Science Foundation grant PH- 0553597 to the University of Pittsburgh; and by the National Research Foundation, South Africa, under GUN 2075290.

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Identifiers

Eprint ID
14478
Resolver ID
CaltechAUTHORS:20090701-151146004

Funding

Sherman Fairchild Foundation
NSF
PHY-061459
NSF
PHY-0652995
NSF
PH-0553597
National Research Foundation (South Africa)
GUN 2075290

Dates

Created
2009-08-12
Created from EPrint's datestamp field
Updated
2021-11-08
Created from EPrint's last_modified field

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