Detecting contamination involves several techniques:
Calibration: Regular calibration of instruments helps identify and correct for instrumental contamination. Cross-Validation: Using multiple observations and instruments to compare data and identify discrepancies. Modeling and Simulation: Creating models of expected contamination sources to differentiate them from the actual signals. Data Filtering: Applying statistical and computational methods to filter out noise and contaminants from the data.
