How does Thermo Fisher Scientific's analytical software support the calculation of measurement uncertainty? Wilhelm Sanders: According to DIN EN ISO 17025, it is necessary to calculate the measurement ...

Monte Carlo methods have emerged as a crucial tool in the evaluation of measurement uncertainty, particularly for complex or non-linear measurement systems. By propagating full probability ...

Bayesian uncertainty analysis represents a powerful statistical framework that integrates prior knowledge with observed measurement data to quantify uncertainty in a consistent probabilistic manner.

Type: videos and slidesEnrolment Requirements: completion of participant form Objective: provide the participant with an understanding of the methods used for the assessment of various uncertainty ...

Scientific progress has been inseparable from better measurements. Before 1927, only human ingenuity seemed to limit how precisely we could measure things. Then Werner Heisenberg discovered that ...

In a stunning leap for quantum optics, scientists have generated ultrafast light pulses whose quantum uncertainty can be ...

Physicists in Australia have demonstrated that by focusing on different quantities, known as modular observables, they can simultaneously measure position and momentum. "You can’t violate Heisenberg’s ...