The process involves the continuous monitoring of various parameters during a catalytic experiment. For instance, sensors can be used to measure temperature, pressure, and flow rates of reactants and products. This data is then processed in real time using algorithms to adjust the raw data, compensating for any fluctuations in the experimental conditions. This normalized data is more consistent and can be used for accurate analysis and comparison.
