An EDM calibration baseline is used to derive specific instrument errors of the electronic distance measurement (EDM) unit of a total station. EDMFit is a simple adjustment tool to estimate the EDM calibration parameters (addition constant and/or scale parameter). The parameters are checked for significance, to avoid an overestimation.
Based on two classical hypothesis testing, EDMFit provides a reliable outlier detection. For uncertainties budgeting, EDMFit makes use of Monte-Carlo simulations and supports different distribution function:
- Uniform distribution,
- Triangular distribution and
- Gaussian (normal) distribution.
For refractive index determination, the application supports the following models:
- Barrel and Sears (1939),
- Edlen (1953),
- Edlen (1966) and
- Ciddor (1996).
- Least squares adjustment
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