 Experimental uncertainty analysis

Experimental uncertainty analysis is a process used in scientific experimentation to quantify and evaluate the uncertainties associated with measurement results. It involves identifying and estimating the various sources of uncertainty that can affect the precision and accuracy of experimental data. Here are some key components and steps involved in experimental uncertainty analysis: 1. **Identification of Uncertainties**: Researchers identify potential sources of uncertainty in their experiments. This can include instrumental errors, environmental conditions, systematic errors, and human factors.