Parameter estimation of gravitational wave events near instrumental noise

Gravitational wave signals received by the Laser Interferometer Gravitational Wave Observatory (LIGO) can overlap in time with transient instrumental noise. These "glitches" introduce errors in the analysis of a signal since the parameters (properties) of the originating astrophysical system are inferred by comparing gravitational waveforms with the data. By adding known simulated signals into data containing glitches from both of the LIGO detectors, we study how glitches affect parameter estimation. To characterize the efficacy of improving accuracy across different glitch classes, we re-analyze the data after using BayesWave to excise the glitch by modelling it, and the signal, as a separate sum of wavelets. We show that this de-glitching process can greatly improve the accuracy of parameter estimation, but results are dependent on glitch morphology.