Model waveform accuracy standards for gravitational wave data analysis
Abstract
Model waveforms are used in gravitational wave data analysis to detect and then to measure the properties of a source by matching the model waveforms to the signal from a detector. This paper derives accuracy standards for model waveforms which are sufficient to ensure that these data analysis applications are capable of extracting the full scientific content of the data, but without demanding excessive accuracy that would place undue burdens on the model waveform simulation community. These accuracy standards are intended primarily for broadband model waveforms produced by numerical simulations, but the standards are quite general and apply equally to such waveforms produced by analytical or hybrid analytical-numerical methods.
Additional Information
© 2008 The American Physical Society. Received 22 September 2008; published 29 December 2008. We thank Emanuele Berti, Curt Cutler, and Michele Vallisneri for illuminating discussions on the subject of gravitational wave data analysis, and its particular application to LISA. We also thank Stephen Fairhurst, Kip Thorne, and Alan Weinstein for a number of useful comments on a preliminary draft of this paper. This research was supported in part by a grant to Caltech from the Sherman Fairchild Foundation, by NSF Grants No. DMS-0553302, PHY-0601459, and PHY-0652995 to Caltech, by NSF Grant No. PHY-0555628 to Penn State, and by the Penn State Center for Gravitational Wave Physics under NSF cooperative agreement PHY-0114375.Attached Files
Published - LINprd08b.pdf
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Additional details
- Eprint ID
- 12828
- Resolver ID
- CaltechAUTHORS:LINprd08b
- Sherman Fairchild Foundation
- National Science Foundation
- DMS-0553302
- National Science Foundation
- PHY-0601459
- National Science Foundation
- PHY-0652995
- National Science Foundation
- PHY-0555628
- Center for Gravitational Wave Physics, Penn State
- National Science Foundation
- PHY-0114375
- Created
-
2008-12-30Created from EPrint's datestamp field
- Updated
-
2021-11-08Created from EPrint's last_modified field
- Caltech groups
- TAPIR