Bank-Lexikon 1973
DOI: 10.1007/978-3-663-00090-7_8
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Cited by 26 publications
(82 citation statements)
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“…Software: Kepler (Heger & Woosley 2010), Arepo (Springel 2010), STELLA (Blinnikov et al 1998(Blinnikov et al , 2000(Blinnikov et al , 2006,CoCoNuT-FMT (Müller et al2010;Müller & Janka 2015)…”
Section: Discussionmentioning
confidence: 99%
“…Software: Kepler (Heger & Woosley 2010), Arepo (Springel 2010), STELLA (Blinnikov et al 1998(Blinnikov et al , 2000(Blinnikov et al , 2006,CoCoNuT-FMT (Müller et al2010;Müller & Janka 2015)…”
Section: Discussionmentioning
confidence: 99%
“…Based on the Mach number, we divide our 2D models into two groups, either showing "low-M a" or "high-M a". The criterion of high-M a is set as M a 2 1/2 max ≥ 0.1, because the turbulence with such a high Mach number potentially fosters the perturbation-aided explosion (Müller & Janka 2015;Müller et al 2016). It is noted that models 18M A and 21M A are exceptionally classified into low-M a in spite of their "large" Mach numbers.…”
Section: D Stellar Hydrodynamics Simulationsmentioning
confidence: 99%
“…Couch & Ott (2013) were the first to demonstrate that the inhomogeneities seeded by convective shell burning fosters the onset of a neutrino-driven explosion (see also Fernández et al (2014); Couch & Ott (2015); Müller & Janka (2015); Burrows et al (2018)). This is because the infalling perturbation that could be amplified in the supersonic accretion (Takahashi & Yamada 2014;Nagakura et al 2013Nagakura et al , 2019 enhances turbulence behind the postshock material leading to the reduction of the critical neutrino luminosity for shock revival (e.g., Müller & Janka (2015); Abdikamalov et al (2016)). In these studies, the non-spherical structures in the burning shells, although physically motivated, were treated in a parametric manner due to the paucity of the multi-D stellar evolution models covering the lifespan of massive stars up to the iron core-collapse.…”
Section: Introductionmentioning
confidence: 99%
“…Although this mechanism was first proposed more than five decades ago (Colgate & White 1966), it is only in recent years that neutrino-driven CCSNe simulations have begun to successfully explode (for reviews, see Janka et al 2016;Müller 2016). As computer processing power has advanced, astronomers have been able to include additional physics into their 3D models, such as precollapse perturbations (Couch & Ott 2013;Couch et al 2015;Müller & Janka 2015;Müller et al 2016Müller et al , 2017aMüller 2016), rotation (Kuroda et al 2014;Nakamura et al 2015;Takiwaki et al 2016;Summa et al 2018), Supernova remnants (SNRs) are a useful sample for comparison to simulation predictions. The heavy elements synthesized in the explosions as well as NSs are observable in young SNRs of ages 10 4 years (see reviews by Weisskopf &Vink 2012).…”
Section: Introductionmentioning
confidence: 99%