Reformulation of frequency-domain narrowband cross-correlation estimators for SGWB searches provides new expressions for estimators and covariances, while showing that widely used prior expressions still yield correct posteriors and log-Bayes factors.
The stochastic background from cosmic (super)strings: popcorn and (Gaussian) continuous regimes
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abstract
In the era of the next generation of gravitational wave experiments a stochastic background from cusps of cosmic (super)strings is expected to be probed and, if not detected, to be significantly constrained. A popcorn-like background can be, for part of the parameter space, as pronounced as the (Gaussian) continuous contribution from unresolved sources that overlap in frequency and time. We study both contributions from unresolved cosmic string cusps over a range of frequencies relevant to ground based interferometers, such as LIGO/Virgo second generation (AdLV) and Einstein Telescope (ET) third generation detectors, the space antenna LISA and Pulsar Timing Arrays (PTA). We compute the sensitivity (at $2 \sigma$ level) in the parameter space for AdLV, ET, LISA and PTA. We conclude that the popcorn regime is complementary to the continuous background. Its detection could therefore enhance confidence in a stochastic background detection and possibly help determine fundamental string parameters such as the string tension and the reconnection probability.
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UNVERDICTED 2representative citing papers
A review of existing waveform models for LISA sources and the challenges that must still be overcome.
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A thorough investigation of cross-correlation estimators for stochastic gravitational-wave background searches in ground-based detector data
Reformulation of frequency-domain narrowband cross-correlation estimators for SGWB searches provides new expressions for estimators and covariances, while showing that widely used prior expressions still yield correct posteriors and log-Bayes factors.
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Waveform Modelling for the Laser Interferometer Space Antenna
A review of existing waveform models for LISA sources and the challenges that must still be overcome.