2022
DOI: 10.3390/sym14061280
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Thinking Outside the Box: Numerical Relativity with Particles

Abstract: The observation of gravitational waves from compact objects has now become an active part of observational astronomy. For a sound interpretation, one needs to compare such observations against detailed Numerical Relativity simulations, which are essential tools to explore the dynamics and physics of compact binary mergers. To date, essentially all simulation codes that solve the full set of Einstein’s equations are performed in the framework of Eulerian hydrodynamics. The exception is our recently developed Nu… Show more

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Cited by 10 publications
(29 citation statements)
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“…Previous analyses of fast ejecta with GRHD simulations using neutrino transport (Radice et al 2018;Nedora et al 2021a) and Newtonian simulations at ultra-high resolution in axisymmetry (Dean et al 2021) report fast-ejecta masses within factors of 5−10 higher than those found here. SPH simulations find even higher masses than grid-based simulations, of the order of 10 −4 -10 −5 M e (Metzger et al 2015;Kullmann et al 2022;Rosswog et al 2022). Our default mass estimates are similar to the ones obtained in the grid-based ultra-highresolution simulations (purely hydrodynamic, without weak interactions) of Kiuchi et al (2017), specifically, their HB EOS case, which leads to a similar NS compactness to APR (see Figure 7 in Hotokezaka et al 2018).…”
Section: Ejecta Dynamics and Fast Outflowsupporting
confidence: 81%
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“…Previous analyses of fast ejecta with GRHD simulations using neutrino transport (Radice et al 2018;Nedora et al 2021a) and Newtonian simulations at ultra-high resolution in axisymmetry (Dean et al 2021) report fast-ejecta masses within factors of 5−10 higher than those found here. SPH simulations find even higher masses than grid-based simulations, of the order of 10 −4 -10 −5 M e (Metzger et al 2015;Kullmann et al 2022;Rosswog et al 2022). Our default mass estimates are similar to the ones obtained in the grid-based ultra-highresolution simulations (purely hydrodynamic, without weak interactions) of Kiuchi et al (2017), specifically, their HB EOS case, which leads to a similar NS compactness to APR (see Figure 7 in Hotokezaka et al 2018).…”
Section: Ejecta Dynamics and Fast Outflowsupporting
confidence: 81%
“…Differences to other gridbased merger simulations (Nedora et al 2021a) can be understood in terms of the definition of asymptotic velocity (see above), while the higher level of ejecta in grid-based convergence studies (Dean et al 2021) may be attributable to differences in the overall setup (such as, e.g., Newtonian versus general-relativistic dynamics and geometric effects due to assumed symmetries), since ejecta masses are expected to be roughly converged according to these studies at our present resolution (at least up to a factor of a few). Fast ejecta tails are resolved by tens of SPH particles in present SPH simulations (Kullmann et al 2022;Rosswog et al 2022), and details about the dependence of fast ejecta masses with resolution (number of particles) have been reported only recently (Rosswog et al 2022). Rosswog et al (2022) showed that the mass of fast ejecta decreases by a factor of ≈10 when the resolution is increased from 10 6 to 5 × 10 6 SPH particles used in the simulation.…”
Section: Ejecta Dynamics and Fast Outflowmentioning
confidence: 75%
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“…This allows for the use of the single unknown c to represent the function f tr m . The ASL scheme has been adapted for use in merger simulations within a smoothed particle hydrodynamics (SPH) code (Gizzi et al 2021), which in conjunction with the development of a first general relativistic SPH code (Rosswog et al 2022) should allow for the use of ASL in general relativsitic merger simulations in the near future. We note that the general relativistic algorithm of Sekiguchi ( 2010) also keeps track of the energy density of trapped neutrinos when, in the notation of Perego et al (2016), t diff t prod .…”
Section: Leakage Limitations and Improved Leakage Schemesmentioning
confidence: 99%