English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Uncertainty quantification has emerged as a rapidly growing field in nuclearscience. Theoretical predictions of physical observables often involveextrapolations to regions that are poorly constrained by laboratory experimentsand astrophysical observations. Without properly quantified theoretical errors,such model predictions are of limited value. Also, one often deals withtheoretical constructs that involve fundamental quantities that are notaccessible to experiment or observation. Particularly relevant in this contextis the pressure of pure neutron matter. In this contribution we develop ananalytic framework to answer the question of "How can new data reduceuncertainties of current theoretical models?" [P.-G. Reinhard and W.Nazarewicz, Phys. Rev. C81, 051303(R) (2010)]. Simple and insightfulexpressions are obtained to quantify the impact of one or two new observableson theoretical uncertainties in two critical quantities: the slope of thesymmetry energy at saturation density and the pressure of pure neutron matterat twice nuclear matter saturation density.

Analytic insights on the information content of new observables