English

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

Instrumentation and Methods for Astrophysics 2023-07-12 v2 General Relativity and Quantum Cosmology Computational Physics Instrumentation and Detectors

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.

Keywords

Cite

@article{arxiv.2111.06893,
  title  = {High-accuracy numerical models of Brownian thermal noise in thin mirror coatings},
  author = {Nils L. Vu and Samuel Rodriguez and Tom Włodarczyk and Geoffrey Lovelace and Harald P. Pfeiffer and Gabriel S. Bonilla and Nils Deppe and François Hébert and Lawrence E. Kidder and Jordan Moxon and William Throwe},
  journal= {arXiv preprint arXiv:2111.06893},
  year   = {2023}
}

Comments

15 pages, 5 figures. Results are reproducible with the ancillary input files