Published March 2015
| Version v1
Journal article
Covariance analysis of finite temperature density functional theory: symmetric nuclear matter
Creators
- 1. Department of Physics, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford, Surrey GU2 7XH (United Kingdom)
- 2. Dipartimento di Fisica, Università degli Studi di Milano and INFN, Sezione di Milano, I-20133 Milano (Italy)
Description
We study symmetric nuclear matter at finite temperature, with particular emphasis on the liquid-gas phase transition. We use a standard covariance analysis to propagate statistical uncertainties from the density functional to the thermodynamic properties. We use four functionals with known covariance matrices to obtain as wide a set of results as possible. Our findings suggest that thermodynamical properties are very well constrained by fitting data at zero temperature. The propagated statistical errors in the liquid-gas phase transition parameters are relatively small. (paper)
Availability note (English)
Available from http://dx.doi.org/10.1088/0954-3899/42/3/034005Additional details
Identifiers
Publishing Information
- Journal Title
- Journal of Physics. G, Nuclear and Particle Physics
- Journal Volume
- 42
- Journal Issue
- 3
- Journal Page Range
- [13 p.]
- ISSN
- 0954-3899
- CODEN
- JPGPED
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 46042210
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; S72: PHYSICS OF ELEMENTARY PARTICLES AND FIELDS;
- Descriptors DEI
- DATA COVARIANCES; DENSITY FUNCTIONAL METHOD; ERRORS; GASES; LIQUIDS; MATRICES; NUCLEAR MATTER; PHASE TRANSFORMATIONS; STATISTICS; SYMMETRY; THERMODYNAMIC PROPERTIES
- Descriptors DEC
- CALCULATION METHODS; FLUIDS; MATHEMATICS; MATTER; PHYSICAL PROPERTIES; VARIATIONAL METHODS