BBH Classification Using Principal Component Analysis

ORAL

Abstract

Binary black holes will inspiral, merge and ringdown in the LIGO/VIRGO band for an interesting range of total masses. We present an update on our approach of using Principal Component Analysis to build models of NR BBH waveforms that focus on the merger for generic BBH signals. These models are intended to be used to conduct coarse parameter estimation for gravitational wave burst candidate events. The proposed benefit is a fast, optimized catalog that classifies bulk features in the signal.

*NSFPHY-0955773, 0955825, SUPA and STFC UK. Simulations by NSF XSEDE PHY120016 and PHY090030

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Authors

  • Deirdre Shoemaker

    • Georgia Institute of Technology
    • Georgia Inst of Tech
    • Center for Relativistic Astrophysics, Georgia Institute of Technology

  • Laura Cadonati

    • Georgia Inst of Tech

  • James Clark

    • Georgia Inst of Tech
    • Center for Relativistic Astrophysics, Georgia Institute of Technology

  • Brian Day

    • Georgia Inst of Tech

  • Ik Siong Jeng

    • University of Glasgow

  • Alexander Lombardi

    • University of Massachusetts Amherst

  • Lionel London

    • Georgia Inst of Tech

  • Nicholas Mangini

    • University of Massachusetts Amherst

  • Josh Logue

    • University of Glasgow