Regression of Suspension Violin Modes in KAGRA O3GK Data with Kalman Filters

Lucas Moisset, Marco Meyer-Conde, Christopher Allene, Yusuke Sakai, Dan Chen, Nobuyuki Kanda, Hirotaka Takahashi

公開日: 2025/9/25

Abstract

Suspension thermal modes in interferometric gravitational-wave detectors produce narrow, high-Q spectral lines that can contaminate gravitational searches and bias parameter estimation. In KAGRA, cryogenic mirrors are held by thick suspension fibers, designed to sustain such low-temperature environment, which may further affects inharmonicity modes, fiber dimensions, and mechanical behavior compared to typical interferometers. Remaining a prominent source of narrowband contamination, we implement a Kalman filter to model and track violin lines, building on the methodology introduced in [1], and apply subtraction to KAGRA O3GK data. Using gravitational-wave template injections, we validate that the subtraction preserves matched-filter SNR while effectively suppressing line power. Comparisons of power spectral densities and residual analyses confirm that the method removes deterministic line contributions without introducing waveform distortions. This approach provides a cleaner strain channel for searches and parameter estimation and will become increasingly important for future low-temperature detectors with higher-Q suspensions, such as the Einstein Telescope.