Tuning gravitational-wave detector networks to measure compact binary mergers
Scott A. Hughes

TL;DR
This paper introduces an algorithm for tuning gravitational-wave detector networks to optimize the measurement of merger waves from compact binaries, especially neutron stars, by combining broad-band and narrow-band detectors.
Contribution
It presents a novel tuning algorithm that adapts detector network configurations based on prior measurements to improve high-frequency gravitational wave detection.
Findings
The algorithm effectively improves measurement accuracy over multiple iterations.
Tuning depends on signal strength, number of narrow-band detectors, and wave characteristics.
Future work will incorporate more realistic models of detectors and gravitational waves.
Abstract
Gravitational waves generated by the final merger of compact binary systems depend on the structure of the binary's members. If the binary contains neutron stars, measuring such waves can teach us about the properties of matter at extreme densities. Unfortunately, these waves are typically at high frequency where the sensitivity of broad-band detectors is not good. Learning about dense matter from these waves will require networks of broad-band detectors combined with narrow-band detectors that have good sensitivity at high frequencies. This paper presents an algorithm by which a network can be ``tuned'', in accordance with the best available information, in order to most effectively measure merger waves. The algorithm is presented in the context of a toy model that captures the qualitative features of narrow-band detectors and of certain binary neutron star merger wave models. By using…
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