Export citation

Export citation

Choose format for download:

Download Citation

    Regression of suspension violin modes in KAGRA O3GK data with Kalman filters

    Lucas Moisset1,2, Marco Meyer-Conde3,4,*, Christopher Alléné3, Yusuke Sakai3, Dan Chen5, Nobuyuki Kanda6,7, and Hirotaka Takahashi3,8

    • *Contact author: marco@tcu.ac.jp; marco.meyer@cern.ch

    Phys. Rev. D 112, 103028 – Published 14 November, 2025

    DOI: https://doi.org/10.1103/jpr4-m3ck

    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 a low-temperature environment, which may further affect inharmonicity modes, fiber dimensions, and mechanical behavior compared to typical interferometers. As these modes remain 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.

    Physics Subject Headings (PhySH)

    Authorization Required

    We need you to provide your credentials before accessing this content.

    References (Subscription Required)

    Outline

    Information

    Sign In to Your Journals Account

    Filter

    Filter

    Article Lookup

    Enter a citation