High-accuracy numerical models of Brownian thermal noise in thin mirror coatings

Author:

Vu Nils LORCID,Rodriguez SamuelORCID,Włodarczyk TomORCID,Lovelace GeoffreyORCID,P Pfeiffer HaraldORCID,S Bonilla GabrielORCID,Deppe NilsORCID,Hébert FrançoisORCID,E Kidder LawrenceORCID,Moxon JordanORCID,Throwe WilliamORCID

Abstract

Abstract Brownian coating thermal noise in detector test masses is limiting the sensitivity of current gravitational-wave detectors on Earth. Therefore, accurate numerical models can inform the ongoing effort to minimize Brownian coating thermal noise in current and future gravitational-wave detectors. Such numerical models typically require significant computational resources and time, and often involve closed-source commercial codes. In contrast, open-source codes give complete visibility and control of the simulated physics, enable direct assessment of the numerical accuracy, and support the reproducibility of results. In this article, we use the open-source SpECTRE numerical relativity code and adopt a novel discontinuous Galerkin numerical method to model Brownian coating thermal noise. We demonstrate that SpECTRE achieves significantly higher accuracy than a previous approach at a fraction of the computational cost. Furthermore, we numerically model Brownian coating thermal noise in multiple sub-wavelength crystalline coating layers for the first time. Our new numerical method has the potential to enable fast exploration of realistic mirror configurations, and hence to guide the search for optimal mirror geometries, beam shapes and coating materials for gravitational-wave detectors.

Funder

Sherman Fairchild Foundation

Directorate for Mathematical and Physical Sciences

Publisher

IOP Publishing

Subject

Physics and Astronomy (miscellaneous)

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A review on the design and analysis for the application of Wear and corrosion resistance coatings;International Journal on Interactive Design and Manufacturing (IJIDeM);2023-06-14

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