Optimizing signal recycling for detecting a stochastic gravitational-wave background
Duo Tao, Nelson Christensen

TL;DR
This paper optimizes signal recycling configurations in laser interferometers like aLIGO for detecting a stochastic gravitational-wave background, showing improved sensitivity with specific parameter choices and different models of gravitational wave energy density.
Contribution
It provides a detailed optimization of signal recycling parameters for stochastic background detection, including effects of laser power and low-frequency cutoff, enhancing gravitational wave search strategies.
Findings
Interferometers with signal recycling outperform those without in sensitivity.
Optimal configurations involve low SRM transmission and detuning phase.
Sensitivity limit around 10^{-10} at 25 Hz for various models.
Abstract
Signal recycling is applied in laser interferometers such as the Advanced Laser Interferometer Gravitational-Wave Observatory (aLIGO) to increase their sensitivity to gravitational waves. In this study, signal recycling configurations for detecting a stochastic gravitational wave background are optimized based on aLIGO parameters. Optimal transmission of the signal recycling mirror (SRM) and detuning phase of the signal recycling cavity (SRC) under a fixed laser power and low-frequency cutoff are calculated. Based on the optimal configurations, the compatibility with a binary neutron star (BNS) search is discussed. Then, different laser powers and low-frequency cutoffs are considered. Two models for the dimensionless energy density of gravitational waves , the flat model and the model, are studied. For a…
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