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Particle swarm optimization of the sensitivity of a cryogenic gravitational wave detector

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Submitted by:
Yuta Michimura
Updated by:
Yuta Michimura
Document Created:
12 Apr 2018, 12:19
Contents Revised:
14 Jun 2018, 03:07
DB Info Revised:
14 Jun 2018, 03:07
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26 Apr 2018, 15:01
17 Apr 2018, 00:04
12 Apr 2018, 12:27
Cryogenic cooling of the test masses of interferometric gravitational wave detectors is a promising way to reduce thermal noise. However, cryogenic cooling limits the incident power to the test masses, which limits the freedom of shaping the quantum noise. Cryogenic cooling also requires short and thick suspension fibers to extract heat, which could result in the worsening of thermal noise. Therefore, careful tuning of multiple parameters is necessary in designing the sensitivity of cryogenic gravitational wave detectors. Here, we propose the use of particle swarm optimization to optimize the parameters of these detectors. We apply it for designing the sensitivity of the KAGRA detector, and show that binary neutron star inspiral range can be improved by 10%, just by retuning seven parameters of existing components. We also show that the sky localization of GW170817-like binaries can be further improved by a factor of 1.6 averaged across the sky. Our results show that particle swarm optimization is useful for designing future gravitational wave detectors with higher dimensionality in the parameter space.

Yuta Michimura, Kentaro Komori, Atsushi Nishizawa, Hiroki Takeda, Koji Nagano, Yutaro Enomoto, Kazuhiro Hayama, Kentaro Somiya, and Masaki Ando

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Notes and Changes:
v1: Circulated to CPC (16 Apr 2018)
v2: Submitted to PRD (26 Apr 2018)
v3: Published version (13 Jun 2018)
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