High-accuracy numerical models of Brownian thermal noise in thin mirror coatings
Nils L. Vu, Samuel Rodriguez, Tom W{\l}odarczyk, Geoffrey Lovelace,, Harald P. Pfeiffer, Gabriel S. Bonilla, Nils Deppe, Fran\c{c}ois H\'ebert,, Lawrence E. Kidder, Jordan Moxon, William Throwe

TL;DR
This paper introduces a high-accuracy, open-source numerical modeling approach for Brownian thermal noise in mirror coatings, significantly improving precision and efficiency, and enabling the first detailed modeling of crystalline coating layers for gravitational-wave detectors.
Contribution
It presents a novel discontinuous Galerkin method implemented in SpECTRE, achieving higher accuracy at lower computational cost and modeling crystalline coatings for the first time.
Findings
SpECTRE outperforms previous models in accuracy and efficiency.
First numerical modeling of crystalline coating layers.
Potential to optimize mirror designs for gravitational-wave detection.
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…
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Taxonomy
TopicsRadiative Heat Transfer Studies · Numerical methods in inverse problems · Thermography and Photoacoustic Techniques
