Denoising Algorithms for the CUORE Experiment

The Cryogenic Underground Observatory for Rare Events (CUORE) experiment is an ongoing search for neutrinoless double beta decay located at the Gran Sasso National Laboratory (LNGS) in Italy. Our previous work has suggested that the quality of CUORE data can be improved by the use of noise decorrelation algorithms using data from auxiliary devices included microphones and accelerometers. Here I will present the results of these decorrelation algorithm and how it impacts the energy resolution of the CUORE detector across multiple channels. I will also discuss how these denoising algorithms can be expanded to model non-linear systems and how these expansions improve the performance of the aforementioned noise decorrelation algorithms for the CUORE detector.