Abstract
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.
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Rios, A., & Maza, X. R. (2015). Covariance analysis of finite temperature density functional theory: Symmetric nuclear matter. Journal of Physics G: Nuclear and Particle Physics, 42(3). https://doi.org/10.1088/0954-3899/42/3/034005
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