Interpreting and propagating the uncertainty of the standard atomic weights (IUPAC Technical Report)
Author:
Possolo Antonio1, van der Veen Adriaan M. H.2, Meija Juris3, Hibbert D. Brynn4
Affiliation:
1. National Institute of Standards and Technology (NIST) , Gaithersburg, MD , USA 2. Van Swinden Laboratorium (VSL) , Delft , The Netherlands 3. National Research Council Canada (NRC-CNRC) , Ottawa, ON , Canada 4. UNSW Sydney , Sydney, NSW , Australia
Abstract
Abstract
In 2009, the Commission on Isotopic Abundances and Atomic Weights (CIAAW) of the International Union of Pure and Applied Chemistry (IUPAC) introduced the interval notation to express the standard atomic weights of elements whose isotopic composition varies significantly in nature. However, it has become apparent that additional guidance would be helpful on how representative values should be derived from these intervals, and on how the associated uncertainty should be characterized and propagated to cognate quantities, such as relative molecular masses. The assignment of suitable probability distributions to the atomic weight intervals is consistent with the CIAAW’s goal of emphasizing the variability of the atomic weight values in nature. These distributions, however, are not intended to reflect the natural variability of the abundances of the different isotopes in the earth’s crust or in any other environment. Rather, they convey states of knowledge about the elemental composition of “normal” materials generally, or about specific classes of such materials. In the absence of detailed knowledge about the isotopic composition of a material, or when such details may safely be ignored, the probability distribution assigned to the standard atomic weight intervals may be taken as rectangular (or, uniform). This modeling choice is a reasonable and convenient default choice when a representative value of the atomic weight, and associated uncertainty, are needed in calculations involving atomic and relative molecular masses. When information about the provenance of the material, or other information about the isotopic composition needs to be taken into account, then this distribution may be non-uniform. We present several examples of how the probability distribution of an atomic weight or relative molecular mass may be characterized, and also how it may be used to evaluate the associated uncertainty.
Publisher
Walter de Gruyter GmbH
Subject
General Chemical Engineering,General Chemistry
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