Model-based Identification of Systematic Errors in Measurements

H. de Jong, V.J. de Wit, N.J.I. Mars, P.E. van der vet

Large-scale databases and knowledge bases with property measurements obtained in scientific experiments or at observation sites have become available in the past decade. With the growing use of these so-called measurement bases, the task of ascertaining the accuracy of measurements is becoming increasingly important. We introduce an implemented method for the model-based identification of systematic errors which has been applied in a case-study in materials science. The method is formalized in terms of QR and MBD techniques, which provides correctness guarantees and facilitates extensions.

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