In the context of catalysis, background subtraction is a crucial data processing technique used to enhance the accuracy of experimental results. This method involves removing the contributions of signals that are not directly related to the catalytic activity being studied. These signals, often referred to as "background noise," can arise from various sources such as the experimental setup, substrate, or even environmental conditions.
