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+---
+title: "Neutrinos in colliding neutron stars and black holes"
+authors: "Foucart, Francois"
+jref:
+doi:
+date: 2024-10-04
+arxiv: "2410.03646"
+abstract: |
+  In this chapter, we provide an overview of the physics of colliding
+  black holes and neutron stars and of the impact of neutrinos on
+  these systems. Observations of colliding neutron stars play an
+  important role in nuclear astrophysics today. They allow us to study
+  the properties of cold nuclear matter and the origin of many heavy
+  elements (gold, platinum, uranium). We show that neutrinos
+  significantly impact the observable signals powered by these events
+  as well as the outcome of nucleosynthesis in the matter that they
+  eject into the surrounding intergalactic medium.
+---
diff --git a/_papers/Kidder:2016hev.md b/_papers/Kidder:2016hev.md
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+---
+title: "SpECTRE: A task-based discontinuous Galerkin code for relativistic astrophysics"
+authors:
+  - "Kidder, Lawrence E."
+  - "Field, Scott E."
+  - "Foucart, Francois"
+  - "Schnetter, Erik"
+  - "Teukolsky, Saul A."
+  - "Bohn, Andy"
+  - "Deppe, Nils"
+  - "Diener, Peter"
+  - "Hébert, François"
+  - "Lippuner, Jonas"
+  - "Miller, Jonah"
+  - "Ott, Christian D."
+  - "Scheel, Mark A."
+  - "Vincent, Trevor"
+jref: "J.Comput.Phys. 335, 7061 (2017)"
+doi: "10.1016/j.jcp.2016.12.059"
+date: 2016-08-31
+arxiv: "1609.00098"
+abstract: |
+  We introduce a new relativistic astrophysics code, SpECTRE, that
+  combines a discontinuous Galerkin method with a task-based
+  parallelism model. SpECTRE's goal is to achieve more accurate
+  solutions for challenging relativistic astrophysics problems such as
+  core-collapse supernovae and binary neutron star mergers. The
+  robustness of the discontinuous Galerkin method allows for the use
+  of high-resolution shock capturing methods in regions where
+  (relativistic) shocks are found, while exploiting high-order
+  accuracy in smooth regions. A task-based parallelism model allows
+  efficient use of the largest supercomputers for problems with a
+  heterogeneous workload over disparate spatial and temporal scales.
+  We argue that the locality and algorithmic structure of
+  discontinuous Galerkin methods will exhibit good scalability within
+  a task-based parallelism framework. We demonstrate the code on a
+  wide variety of challenging benchmark problems in (non)-relativistic
+  (magneto)-hydrodynamics. We demonstrate the code's scalability
+  including its strong scaling on the NCSA Blue Waters supercomputer
+  up to the machine's full capacity of <math altimg="si1.gif"
+  display="inline"
+  overflow="scroll"><mn>22</mn><mo>,</mo><mn>380</mn></math> nodes
+  using <math altimg="si2.gif" display="inline"
+  overflow="scroll"><mn>671</mn><mo>,</mo><mn>400</mn></math> threads.
+---