Abstract
Despite recent progress in numerical simulations of the coalescence of binary black hole systems, highly asymmetric spinning systems and the construction of accurate physical templates remain challenging and computationally expensive. We explore the feasibility of a prompt and robust test of whether the signals exhibit evidence for generic features that can educate new simulations. We form catalogs of numerical relativity waveforms with distinct physical effects and compute the relative probability that a gravitational wave signal belongs to each catalog. We introduce an algorithm designed to perform this task for coalescence signals using principal component analysis of waveform catalogs and Bayesian model selection and demonstrate its effectiveness.
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Acknowledgements
This work was supported by NSF grants PHY-0955773 and 0955825, SUPA and STFC UK. Simulations were supported by NSF XSEDE PHY120016 andPHY090030, and CRA Cygnus cluster.
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Clark, J. et al. (2015). Investigating Binary Black Hole Mergers with Principal Component Analysis. In: Sopuerta, C. (eds) Gravitational Wave Astrophysics. Astrophysics and Space Science Proceedings, vol 40. Springer, Cham. https://doi.org/10.1007/978-3-319-10488-1_24
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DOI: https://doi.org/10.1007/978-3-319-10488-1_24
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