The Multimessenger Picture of Binary Neutron Star Mergers Tim - PowerPoint PPT Presentation

The Multimessenger Picture of Binary Neutron Star Mergers Tim Dietrich Nikhef – National Dutch Institute for Subatomic Physics, Amsterdam Groningen 29 th of Mai 2018

Multimessenger Picture Gravitational Electromagnetic Neutrinos Waves Waves -high neutrino -short GRB -inspiral signal: chirp luminosity -kilo/macronovae -postmerger signal -radio flares

Numerical Relativity

Numerical Relativity

Numerical Relativity

The BNS merger – GW170817 –

First BNS database TD et al, 2018 in prep. ~ 164 physical systems ~ ca. 400 individual simulations ~150 million CPUhs

accurate template including tidal effects LIGO detected several hundred of orbits for GW170817

Advances in Numerical Relativity TD et al., PRD96 (2017) 121501 TD et al., PDP 2018: CFP18169 increasing accuracy of simulations clean convergence across multiple resolutions NR phase uncertainties below the difference to state-of-the-art analytical waveform models

NRTidal PN EOB NR

NRTidal Ansatz: in PN (NLO): Incorporate EOB/NR information: NRtidal became the standard model to interpret BNS data within the LSC

Gravitational Waves: Parameter Estimation ● Determine the Equation of State GW observations favor NSs with smaller radii NRTidal model gives 80% lower bound Phys.Rev.Lett. 119 (2017) no.16, 161101

EM Signals – Kilonova ● pseudo-black body radiation from r-process elements ● formation of heavy elements Metzger, arxiv:1710.05931

Incorporating NR results TD, Ujevic CQG. 34 (2017), 105014 Coughlin, TD et al, APJ. 849 (2017) no.1, 12 ● Predictions about ejecta mass and compositions – dynamical ejecta: – tidal tail – shock heating – disk winds – neutrino driven winds – magnetic winds – secular

EM Signals Kilonova Coughlin, TD, et al., arXiv:1805.09371 Full radiative transfer simulation linked to Gaussian Process Regression to access full parameter space

EM Signals Kilonova Coughlin, TD, et al., arXiv:1805.09371 Full radiative transfer simulation linked to Gaussian Process Regression to access full parameter space

Gravitational Neutrinos Waves Electromagnetic Waves The future is bright!