Comparative Analysis of Thermal Models for Test Masses in Next-Generation Gravitational Wave Interferometers

TL;DR

This study compares detailed and simplified thermal models for test masses in next-generation gravitational wave detectors, showing that reduced models are sufficiently accurate for thermal management despite complex heat absorption effects.

Contribution

It introduces and validates a simplified thermal modeling approach that closely matches detailed models, aiding efficient thermal analysis in advanced gravitational wave detectors.

Findings

Reduced models differ from detailed models by only milli-Kelvin temperature predictions.

Higher coating absorption localizes peak temperatures near the coating-vacuum interface.

Accurate characterization of coating absorption is critical for thermal modeling.

Abstract

Accurate thermal modeling of Terminal Test Masses (TTMs) is crucial for optimizing the sensitivity of gravitational wave interferometers like Virgo. In fact, in such gravitational wave detectors even minimal laser power absorption can induce performance-limiting thermal effects. This paper presents a detailed investigation into the steady-state thermal behavior of TTMs. In particular, future scenarios of increased intracavity laser beam power and optical coating absorption are considered. We develop and compare two numerical models: a comprehensive model incorporating volumetric heat absorption in both the multilayer coating and the bulk substrate, and a simplified reduced model where the coating's thermal impact is represented as an effective surface boundary condition on the substrate. Our simulations were focused on a ternary coating design, which is a candidate for use in next-generation detectors. Results reveal that higher coating absorption localizes peak temperatures near the coating--vacuum interface. Importantly, the comparative analysis demonstrates that temperature predictions from the reduced model differ from the detailed model by only milli-Kelvins, a discrepancy often within the experimental uncertainties of the system's thermo-physical parameters. This finding suggests that computationally efficient reduced models can provide sufficiently accurate results for thermal management and first-order distortion analyses. Moreover, the critical role of accurately characterizing the total power absorbed by the coating is emphasized.