TY - JOUR
T1 - Long gravitational-wave transients and associated detection strategies for a network of terrestrial interferometers
AU - Thrane, Eric
AU - Kandhasamy, Shivaraj
AU - Ott, Christian D.
AU - Anderson, Warren G.
AU - Christensen, Nelson L.
AU - Coughlin, Michael W.
AU - Dorsher, Steven
AU - Giampanis, Stefanos
AU - Mandic, Vuk
AU - Mytidis, Antonis
AU - Prestegard, Tanner
AU - Raffai, Peter
AU - Whiting, Bernard
PY - 2011/4/11
Y1 - 2011/4/11
N2 - Searches for gravitational waves (GWs) traditionally focus on persistent sources (e.g., pulsars or the stochastic background) or on transients sources (e.g., compact binary inspirals or core-collapse supernovae), which last for time scales of milliseconds to seconds. We explore the possibility of long GW transients with unknown waveforms lasting from many seconds to weeks. We propose a novel analysis technique to bridge the gap between short O(s) "burst" analyses and persistent stochastic analyses. Our technique utilizes frequency-time maps of GW strain cross power between two spatially separated terrestrial GW detectors. The application of our cross power statistic to searches for GW transients is framed as a pattern recognition problem, and we discuss several pattern-recognition techniques. We demonstrate these techniques by recovering simulated GW signals in simulated detector noise. We also recover environmental noise artifacts, thereby demonstrating a novel technique for the identification of such artifacts in GW interferometers. We compare the efficiency of this framework to other techniques such as matched filtering.
AB - Searches for gravitational waves (GWs) traditionally focus on persistent sources (e.g., pulsars or the stochastic background) or on transients sources (e.g., compact binary inspirals or core-collapse supernovae), which last for time scales of milliseconds to seconds. We explore the possibility of long GW transients with unknown waveforms lasting from many seconds to weeks. We propose a novel analysis technique to bridge the gap between short O(s) "burst" analyses and persistent stochastic analyses. Our technique utilizes frequency-time maps of GW strain cross power between two spatially separated terrestrial GW detectors. The application of our cross power statistic to searches for GW transients is framed as a pattern recognition problem, and we discuss several pattern-recognition techniques. We demonstrate these techniques by recovering simulated GW signals in simulated detector noise. We also recover environmental noise artifacts, thereby demonstrating a novel technique for the identification of such artifacts in GW interferometers. We compare the efficiency of this framework to other techniques such as matched filtering.
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U2 - 10.1103/PhysRevD.83.083004
DO - 10.1103/PhysRevD.83.083004
M3 - Article
AN - SCOPUS:79960751216
SN - 1550-7998
VL - 83
JO - Physical Review D - Particles, Fields, Gravitation and Cosmology
JF - Physical Review D - Particles, Fields, Gravitation and Cosmology
IS - 8
M1 - 083004
ER -