185 research outputs found
Searching for gravitational waves from binary systems in non-stationary data
The gravitational wave detectors at the LIGO Observatories have achieved record sensitivity to gravitational-waves produced by astrophysical systems. The LIGO Scientific Collaboration has analyzed data taken in several science runs, searching for different signals. We describe a search for black holes with less than a solar mass in the LIGO data taken from February 22 to March 24, 2005. No gravitational waves were found, and an upper limit was set on the rate of mergers of such binary systems. This search, as well as other searches for binary systems, are affected by non-stationary noise. We describe the sophisticated pipeline that attempted to reduce the false trigger rate while maximizing the sensitivity to simulated signals. Details regarding this search and interpretation of this search are presented along with new strategies to increase the confidence in detection through signal based vetoes and better template waveforms
Interpolating compact binary waveforms using the singular value decomposition
Compact binary systems with total masses between tens and hundreds of solar
masses will produce gravitational waves during their merger phase that are
detectable by second-generation ground-based gravitational-wave detectors. In
order to model the gravitational waveform of the merger epoch of compact binary
coalescence, the full Einstein equations must be solved numerically for the
entire mass and spin parameter space. However, this is computationally
expensive. Several models have been proposed to interpolate the results of
numerical relativity simulations. In this paper we propose a numerical
interpolation scheme that stems from the singular value decomposition. This
algorithm shows promise in allowing one to construct arbitrary waveforms within
a certain parameter space given a sufficient density of numerical simulations
covering the same parameter space. We also investigate how similar approaches
could be used to interpolate waveforms in the context of parameter estimation.Comment: 5 pages, 3 figures, presented at the joint 9th Edoardo Amaldi
Conference on Gravitational Waves and 2011 Numerical Relativity - Data
Analysis (NRDA) meetin
A method to estimate the significance of coincident gravitational-wave observations from compact binary coalescence
Coalescing compact binary systems consisting of neutron stars and/or black
holes should be detectable with upcoming advanced gravitational-wave detectors
such as LIGO, Virgo, GEO and {KAGRA}. Gravitational-wave experiments to date
have been riddled with non-Gaussian, non-stationary noise that makes it
challenging to ascertain the significance of an event. A popular method to
estimate significance is to time shift the events collected between detectors
in order to establish a false coincidence rate. Here we propose a method for
estimating the false alarm probability of events using variables commonly
available to search candidates that does not rely on explicitly time shifting
the events while still capturing the non-Gaussianity of the data. We present a
method for establishing a statistical detection of events in the case where
several silver-plated (3--5) events exist but not necessarily any
gold-plated () events. We use LIGO data and a simulated, realistic,
blind signal population to test our method
Interpolation in waveform space: enhancing the accuracy of gravitational waveform families using numerical relativity
Matched-filtering for the identification of compact object mergers in
gravitational-wave antenna data involves the comparison of the data stream to a
bank of template gravitational waveforms. Typically the template bank is
constructed from phenomenological waveform models since these can be evaluated
for an arbitrary choice of physical parameters. Recently it has been proposed
that singular value decomposition (SVD) can be used to reduce the number of
templates required for detection. As we show here, another benefit of SVD is
its removal of biases from the phenomenological templates along with a
corresponding improvement in their ability to represent waveform signals
obtained from numerical relativity (NR) simulations. Using these ideas, we
present a method that calibrates a reduced SVD basis of phenomenological
waveforms against NR waveforms in order to construct a new waveform approximant
with improved accuracy and faithfulness compared to the original
phenomenological model. The new waveform family is given numerically through
the interpolation of the projection coefficients of NR waveforms expanded onto
the reduced basis and provides a generalized scheme for enhancing
phenomenological models.Comment: 10 pages, 7 figure
Application of a Zero-latency Whitening Filter to Compact Binary Coalescence Gravitational-wave Searches
Joint electromagnetic and gravitational-wave (GW) observation is a major goal
of both the GW astronomy and electromagnetic astronomy communities for the
coming decade. One way to accomplish this goal is to direct follow-up of GW
candidates. Prompt electromagnetic emission may fade quickly, therefore it is
desirable to have GW detection happen as quickly as possible. A leading source
of latency in GW detection is the whitening of the data. We examine the
performance of a zero-latency whitening filter in a detection pipeline for
compact binary coalescence (CBC) GW signals. We find that the filter reproduces
signal-to-noise ratio (SNR) sufficiently consistent with the results of the
original high-latency and phase-preserving filter for both noise and artificial
GW signals (called "injections"). Additionally, we demonstrate that these two
whitening filters show excellent agreement in value, a discriminator
for GW signals.Comment: 8 pages, 12 figure
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