Sensitivity comparison of searches for binary black hole coalescences with ground-based gravitational-wave detectors

Satya Mohapatra, Laura Cadonati, Sarah Caudill, James Clark, Chad Hanna, Sergey Klimenko, Chris Pankow, Ruslan Vaulin, Gabriele Vedovato, and Salvatore Vitale
Phys. Rev. D 90, 022001 – Published 7 July 2014

Abstract

Searches for gravitational-wave transients from binary black hole coalescences typically rely on one of two approaches: matched filtering with templates and morphology-independent excess power searches. Multiple algorithmic implementations in the analysis of data from the first generation of ground-based gravitational-wave interferometers have used different strategies for the suppression of non-Gaussian noise transients and have targeted different regions of the binary black hole parameter space. In this paper we compare the sensitivity of three such algorithms: matched filtering with full coalescence templates, matched filtering with ringdown templates, and a morphology-independent excess power search. The comparison is performed at a fixed false alarm rate and relies on Monte Carlo simulations of binary black hole coalescences for spinning, nonprecessing systems with a total mass of 25350M, which covers a portion of the parameter space of stellar mass and intermediate mass black hole binaries. We find that in the mass range of 25100M, the sensitive distance of the search, marginalized over source parameters, is the best with matched filtering to full waveform templates, which is within 10% of the next most sensitive search of morphology-independent excess power algorithm, at a false alarm rate of 3 events/year. In the mass range of 100350M, the same comparison favors the morphology-independent excess power search within 20% of matched filtering with ringdown templates. The dependence on mass and spin is also explored.

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  • Received 27 May 2014

DOI:https://doi.org/10.1103/PhysRevD.90.022001

© 2014 American Physical Society

Authors & Affiliations

Satya Mohapatra1,2,3, Laura Cadonati1,4, Sarah Caudill5,6, James Clark1, Chad Hanna7, Sergey Klimenko8, Chris Pankow5, Ruslan Vaulin9, Gabriele Vedovato10, and Salvatore Vitale9

  • 1University of Massachusetts–Amherst, Amherst, Massachusetts 01003, USA
  • 2Rochester Institute of Technology, 85 Lomb Memorial Drive, Rochester, New York 14623, USA
  • 3Syracuse University, Syracuse, New York 13244, USA
  • 4Cardiff University, Cardiff CF24 3AA, United Kingdom
  • 5University of Wisconsin–Milwaukee, Milwaukee, Wisconsin 53201, USA
  • 6Louisiana State University, Baton Rouge, Louisiana 70803, USA
  • 7Pennsylvania State University, University Park, Pennsylvania 16802, USA
  • 8University of Florida, Gainesville, Florida 32611, USA
  • 9LIGO, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
  • 10INFN Sezione di Padova, 35131 Padova, Italy

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Vol. 90, Iss. 2 — 15 July 2014

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