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Nuclear Physics B
Article . 2018 . Peer-reviewed
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Nuclear Physics B
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Nuclear Physics B
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Article . 2018
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Article . 2018
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Shannon entropy and particle decays

Authors: Pedro Carrasco Millán; M. Ángeles García-Ferrero; Felipe J. Llanes-Estrada; Ana Porras Riojano; Esteban M. Sánchez García;

Shannon entropy and particle decays

Abstract

We deploy Shannon's information entropy to the distribution of branching fractions in a particle decay. This serves to quantify how important a given new reported decay channel is, from the point of view of the information that it adds to the already known ones. Because the entropy is additive, one can subdivide the set of channels and discuss, for example, how much information the discovery of a new decay branching would add; or subdivide the decay distribution down to the level of individual quantum states (which can be quickly counted by the phase space). We illustrate the concept with some examples of experimentally known particle decay distributions.

12 pages, 18 plots; to appear in Nuclear Physics B

Country
Spain
Keywords

53, Física-Modelos matemáticos, Nuclear Theory, Information entropy, FOS: Physical sciences, QC770-798, High Energy Physics - Experiment, Nuclear Theory (nucl-th), High Energy Physics - Phenomenology, High Energy Physics - Experiment (hep-ex), High Energy Physics - Phenomenology (hep-ph), Nuclear and particle physics. Atomic energy. Radioactivity, Ratio

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    popularity
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Average
Average
Green
gold