Model-based Identification of Systematic Errors in Measurements

Papers 1

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.