Testing the LIGO inspiral analysis with hardware injections

Duncan A. Brown; David McClelland; Susan Scott

doi:10.1088/0264-9381/21/5/060

Testing the LIGO inspiral analysis with hardware injections

Duncan A. Brown^*, David McClelland, Susan Scott

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

10 Citations (Scopus)

Abstract

Injection of simulated binary inspiral signals into detector hardware provides an excellent test of the inspiral detection pipeline. By recovering the physical parameters of an injected signal, we test our understanding of both instrumental calibration and the data analysis pipeline. We describe an inspiral search code and results from hardware injection tests and demonstrate that injected signals can be recovered by the data analysis pipeline. The parameters of the recovered signals match those of the injected signals.

Original language	English
Pages (from-to)	S797-S800
Journal	Classical and Quantum Gravity
Volume	21
Issue number	5
DOIs	https://doi.org/10.1088/0264-9381/21/5/060
Publication status	Published - 7 Mar 2004

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title = "Testing the LIGO inspiral analysis with hardware injections",

abstract = "Injection of simulated binary inspiral signals into detector hardware provides an excellent test of the inspiral detection pipeline. By recovering the physical parameters of an injected signal, we test our understanding of both instrumental calibration and the data analysis pipeline. We describe an inspiral search code and results from hardware injection tests and demonstrate that injected signals can be recovered by the data analysis pipeline. The parameters of the recovered signals match those of the injected signals.",

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AB - Injection of simulated binary inspiral signals into detector hardware provides an excellent test of the inspiral detection pipeline. By recovering the physical parameters of an injected signal, we test our understanding of both instrumental calibration and the data analysis pipeline. We describe an inspiral search code and results from hardware injection tests and demonstrate that injected signals can be recovered by the data analysis pipeline. The parameters of the recovered signals match those of the injected signals.

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DO - 10.1088/0264-9381/21/5/060

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JO - Classical and Quantum Gravity

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Testing the LIGO inspiral analysis with hardware injections

Abstract

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