2014
DOI: 10.48550/arxiv.1402.3824
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r-Java 2.0: the astrophysics

M. Kostka,
N. Koning,
Z. Shand
et al.

Abstract: Context. This article is the second in a two part series introducing r-Java 2.0, a nucleosynthesis code for open use that performs r-process calculations and provides a suite of other analysis tools.Aims. The first paper discussed the nuclear physics inherent to r-Java 2.0 and in this article the astrophysics incorporated into the software will be detailed. Methods. R-Java 2.0 allows the user to specify the density and temperature evolution for an r-process simulation. Defining how the physical parameters (tem… Show more

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Cited by 3 publications
(8 citation statements)
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References 68 publications
(120 reference statements)
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“…To perform the calculations we have chosen the r-java2.0 code, developed by the Calgary University group. [43][44][45] This code solves the nuclear r-process network coupled to an astrophysical scenario. We have modified the inputs of the code to include the βdecay rates of Eq.…”
Section: Calculation Of Heavy Nuclei Abundancesmentioning
confidence: 99%
See 3 more Smart Citations
“…To perform the calculations we have chosen the r-java2.0 code, developed by the Calgary University group. [43][44][45] This code solves the nuclear r-process network coupled to an astrophysical scenario. We have modified the inputs of the code to include the βdecay rates of Eq.…”
Section: Calculation Of Heavy Nuclei Abundancesmentioning
confidence: 99%
“…To characterize the neutrino wind, we have chosen the initial temperature as T 0 = 3 × 10 9 K, the density profile ρ = ρ 0 (1+t/(2τ )) 2 where the initial density is ρ 0 = 10 11 g/cm 3 and the expansion time-scale is τ = 0.1 s. The wind speed of expansion was set to Vexp = 7500 km/s and the initial wind radius fixed at R 0 = 390 km. 41,43,44,[46][47][48] b) a neutron-star merger (NSm);…”
Section: Calculation Of Heavy Nuclei Abundancesmentioning
confidence: 99%
See 2 more Smart Citations
“…We generate our r-process simulation data using an extension of the r-Java 2.0 code [12,13] that now includes a graphical-user interface (GUI) module for sensitivity runs. This first-of-its-kind code, "SiRop", allows users to run the r-process simulation and output sensitivity metrics in a single Java-based application in order to represent and analyze changes in the abundance curves.…”
Section: Simulation Parametersmentioning
confidence: 99%