2019
DOI: 10.1051/0004-6361/201936064
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Closing the gap to convergence of gravitoturbulence in local simulations

Abstract: Aims. Our goal is to find a converged cooling limit for fragmentation in self-gravitating disks. This is especially interesting for the formation of planets, brown dwarfs or stars and the growth of black holes. While investigating the limit, we want to give a clear criterion for the state of convergence. Methods. We run two-dimensional shearingsheet simulations with the hydrodynamic package Fosite at high resolutions. Thereby resolution and limiters are altered. Subsequently, we investigate the spectra of impo… Show more

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Cited by 3 publications
(2 citation statements)
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“…More recent work continues to indicate that fragmentation typically requires α ≈ 0.1 (Baehr et al 2017). We can't, however, rule out that there might be an element of stochasticity (Paardekooper 2012;Young & Clarke 2016;Klee et al 2017Klee et al , 2019, or an alternative mode of fragmentation (Young & Clarke 2015), that could sometimes lead to fragmentation for longer cooling times, or smaller effective α values, than this boundary value.…”
Section: Disc Fragmentationmentioning
confidence: 91%
“…More recent work continues to indicate that fragmentation typically requires α ≈ 0.1 (Baehr et al 2017). We can't, however, rule out that there might be an element of stochasticity (Paardekooper 2012;Young & Clarke 2016;Klee et al 2017Klee et al , 2019, or an alternative mode of fragmentation (Young & Clarke 2015), that could sometimes lead to fragmentation for longer cooling times, or smaller effective α values, than this boundary value.…”
Section: Disc Fragmentationmentioning
confidence: 91%
“…It is important to consider that the resolution and initial conditions may have an effect on the results. Convergence is not a given, particularly in simulations that concern gravitational collapse (Meru & Bate 2011a;Paardekooper 2012), potentially due to effects of dimensionality (Baehr et al 2017) or other numerical factors (Deng et al 2017;Klee et al 2017Klee et al , 2019. Thus, we performed a simulation with double the grid resolution of the noBR_L_10 simulation and compared the mass distribution.…”
Section: Cloud Massesmentioning
confidence: 99%