An optimal method to combine results from different experiments

TL;DR

This paper introduces an optimal conflation method for combining experimental results, demonstrating its advantages through graphical and numerical examples involving Gaussian distributions and fundamental physical constants.

Contribution

The paper presents a novel conflation technique for consolidating experimental data, improving accuracy over traditional methods.

Findings

Conflation effectively combines data from different experiments.

The method provides more accurate estimates of physical constants.

Graphical and numerical examples illustrate its advantages.

Abstract

This article describes an optimal method (conflation) to consolidate data from different experiments, and illustrates the advantages of conflation by graphical examples involving gaussian input distributions, and by a concrete numerical example involving the values of lattice spacing of silicon crystals used in determination of the current values of Planck's constant and the Avogadro constant.