Method for detection and reconstruction of gravitational wave transients with networks of advanced detectors

S. Klimenko, G. Vedovato, M. Drago, F. Salemi, V. Tiwari, G. A. Prodi, C. Lazzaro, K. Ackley, S. Tiwari, C. F. Da Silva, and G. Mitselmakher
Phys. Rev. D 93, 042004 – Published 11 February 2016

Abstract

We present a method for detection and reconstruction of the gravitational wave (GW) transients with the networks of advanced detectors. Originally designed to search for transients with the initial GW detectors, it uses significantly improved algorithms, which enhance both the low-latency searches with rapid localization of GW events for the electromagnetic follow-up and high confidence detection of a broad range of the transient GW sources. In this paper, we present the analytic framework of the method. Following a short description of the core analysis algorithms, we introduce a novel approach to the reconstruction of the GW polarization from a pattern of detector responses to a GW signal. This polarization pattern is a unique signature of an arbitrary GW signal that can be measured independently from the other source parameters. The polarization measurements enable rapid reconstruction of the GW waveforms, sky localization, and helps identification of the source origin.

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  • Received 7 December 2015

DOI:https://doi.org/10.1103/PhysRevD.93.042004

© 2016 American Physical Society

Physics Subject Headings (PhySH)

Gravitation, Cosmology & Astrophysics

Authors & Affiliations

S. Klimenko1, G. Vedovato2, M. Drago3, F. Salemi3, V. Tiwari1, G. A. Prodi4, C. Lazzaro2, K. Ackley1, S. Tiwari4,5, C. F. Da Silva1, and G. Mitselmakher1

  • 1University of Florida, P.O. Box 118440, Gainesville, Florida 32611, USA
  • 2INFN, Sezione di Padova, via Marzolo 8, 35131 Padova, Italy
  • 3Max Planck Institut für Gravitationsphysik, Callinstrasse 38, 30167 Hannover and Leibniz Universität Hannover, D-30167 Hannover, Germany
  • 4University of Trento, Physics Department and INFN, Trento Institute for Fundamental Physics and Applications, via Sommarive 14, 38123 Povo, Trento, Italy
  • 5Gran Sasso Science Institute (INFN), Via Francesco Crispi 7, I-67100 LAquila, Italy

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Issue

Vol. 93, Iss. 4 — 15 February 2016

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