Binary Neutron Star Merger Simulations: Dynamical Ejecta and Nucleosynthesis Yields

David Radice and collaborators from Princeton University release dynamical ejecta data from binary neutron star merger simulations. The dataset includes tabulated nucleosynthesis yields, ejecta mass histograms, and outflow profiles extracted at a coordinate sphere radius of 443 km. Data is provided for individual simulations, including initial data generated with LORENE and associated equation-of-state tables.

Use Cases

• Modeling kilonova light curves based on ejecta mass, velocity, and composition histograms.
• Studying r-process nucleosynthesis yields based on pre-computed parametrized trajectories with Ye, entropy, and expansion timescale.
• Analyzing the angular dependence of ejecta properties using polar angle profiles and multidimensional histograms.
• Benchmarking numerical relativity simulations against published dynamical ejecta data.

Strengths

• Includes data from multiple individual simulations, with naming conventions matching the associated peer-reviewed paper.
• Provides multidimensional histograms for key ejecta properties like electron fraction (Ye), entropy, and asymptotic velocity.
• Contains pre-computed nucleosynthesis yields across a grid of initial conditions (Ye, entropy, expansion timescale).

Limitations

• Row count and overall dataset size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred from file descriptions after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Princeton University (author David Radice), associated with a 2018 ApJ paper.

Collection Method

Data from binary neutron star merger simulations, with outflows extracted at a fixed coordinate sphere.