Assessing and Mitigating the Impact of Glitches on Gravitational-Wave Parameter Estimation: a Model Agnostic Approach

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In this paper we investigate the impact of transient noise artifacts, or {\it glitches}, on gravitational-wave inference from ground-based interferometer data, and test how modeling and subtracting these glitches affects the inferred parameters.

• Due to their time-frequency morphology, broadband glitches cause moderate to significant biasing of posterior distributions away from true values.
• In contrast, narrowband glitches induce negligible biasing effects, due to distinct signal and glitch morphologies.
• We inject simulated binary black hole signals into data containing three occurring glitch types from past LIGO-Virgo observing runs, and reconstruct both signal and glitch waveforms using \bw{}, a wavelet-based Bayesian analysis.