A novel paradigm for short gamma-ray bursts with extended X-Rays Status on numerical simulations supporting or ruling out A novel paradigm for short gamma-ray bursts with extended X-Rays Sven Köppel koeppel@fias.uni-frankfurt.de 1. Project Meeting ExaHype Research Council Leibniz Supercomputing Centre (LRZ) TUM, Garching bei München March 04, 2015 This project has received funding from the European Union’s Horizon 2020 reserch and innovation programme under grant agreement No 671698

Short Gamma Ray Bursts

Short Gamma Ray Bursts Common models:

Short Gamma Ray Bursts Common models: 1. BH+Torus: Jet formation Cannot sustain ~ 10⁴ sec afterglow Image credit: http://astrobites.org/2015/01/28/two-winds/

Short Gamma Ray Bursts Common models: 1. BH+Torus: Jet formation 2. Magnetar: Long lasting X-ray afterglow Cannot sustain ~ 10⁴ sec afterglow X-Rays precede burst, no X-rays afterwards. Image credit: http://astrobites.org/2015/01/28/two-winds/

A two-wind model for the SGRB [Rezzolla, Kumar arXiv:1410.8560]

A two-wind model for the SGRB [Rezzolla, Kumar arXiv:1410.8560]

A two-wind model for the SGRB [Rezzolla, Kumar arXiv:1410.8560]

Numerical approach

Numerical approach Evolution: WhiskyTHC (no magnetic field) Uniformly rotating ID: LORENE

Numerical approach: About the initial data generation LORENE: Langage Objet pour la RElativité NumériquE Consists of: • Library (C++ classes) • Codes (eg. rotstar, magstar, bin_bh, bin_ns_bh, …) LORENEs numerics: • Mostly 3D spherical grids • Spectral bases Import from LORENE into CACTUS: • Interpolation of fields on cartesian grid („Export“) Implementation was ready for: ✔ WhiskyMHD ✘ WhiskyTHC www.lorene.obspm.fr

Numerical approach Evolution: WhiskyTHC (no magnetic field) Uniformly rotating ID: LORENE Adding matter to the enthalpy field in LORENE + disk enthalpy [c²]

Thank you for your attention Sven Köppel koeppel@fias.uni-frankfurt.de 1. Project Meeting ExaHype Research Council Leibniz Supercomputing Centre (LRZ) TUM, Garching bei München March 04, 2015 This project has received funding from the European Union’s Horizon 2020 reserch and innovation programme under grant agreement No 671698