Adaptive filtering techniques for interferometric data preparation: removal of long-term sinusoidal signals and oscillatory transients

TL;DR

This paper introduces an adaptive filtering method to effectively remove long-term sinusoidal signals and transient oscillations from gravitational wave interferometric data, improving data quality for analysis.

Contribution

The paper presents a novel adaptive denoising scheme specifically designed for non-Gaussian noise features in gravitational wave data, demonstrating promising preliminary results.

Findings

Encouraging results on real data show improved noise removal.

Effective suppression of sinusoidal and transient noise signals.

Potential enhancement in gravitational wave data analysis.

Abstract

We propose an adaptive denoising scheme for poorly modeled non-Gaussian features in the gravitational wave interferometric data. Preliminary tests on real data show encouraging results.