Synthetic Observations

Synthetic observations are computer-generated data that mimic real-world measurements captured by instruments or sensors. They are created using simulations or models to predict how a system or environment would appear under specific conditions. Researchers use synthetic observations to test hypotheses, validate models, or plan experiments without needing to collect actual data initially. This approach helps improve understanding, optimize designs, and save time and resources before conducting real-world measurements.