RePrimAnd: Recovery of Primitives And EOS framework
Abstract
The RePrimAnd library supports numerical simulations of general relativistic magnetohydrodynamics. It provides methods for recovering primitive variables such as pressure and velocity from the variables evolved in quasi-conservative formulations. Further, it provides a general framework for handling matter equations of state (EOS). Python bindings are automatically built together with the library, provided a Python3 installation containing the pybind11 package is detected. RePrimAnd also provides an (experimental) thorn that builds the library within an Einstein Toolkit (ascl:1102.014) environment using the ExternalLibraries mechanism.
- Publication:
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Astrophysics Source Code Library
- Pub Date:
- July 2021
- Bibcode:
- 2021ascl.soft07021K
- Keywords:
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- Software