Abstract:We present results from the first radiation non-ideal magnetohydrodynamics (MHD) simulations of low-mass star cluster formation that resolve the fragmentation process down to the opacity limit. We model 50 M turbulent clouds initially threaded by a uniform magnetic field with strengths of 3, 5 10 and 20 times the critical mass-to-magnetic flux ratio, and at each strength, we model both an ideal and non-ideal (including Ohmic resistivity, ambipolar diffusion and the Hall effect) MHD cloud. Turbulence and magnet… Show more
“…Federrath et al 2010). Overall the good agreement between the present study, Haugbølle et al (2018), , Wurster et al (2019), and arguably Padoan et al (2019) is encouraging, suggesting that these IMF predictions have some robustness to choice of MHD solver and numerical sink particle prescriptions.…”
Section: Comparison With Other Simulation Studiessupporting
confidence: 84%
“…To achieve satisfactory statistics at the high density end we stacked the distribution from 10 snapshots around the target SFE. Despite the different initial conditions all runs saturate to the same B ∝ ρ 1/2 line (corresponding to v A = 2c s ), similar to the results of Wurster et al (2019). The results depart from the power-law above ρ ∼ 3 × 10 −14 g cm −3 , corresponding to the maximum Jeans-resolved density ρ J for these simulations (Equation 10).…”
Section: As a Function Of Initial Conditionssupporting
confidence: 77%
“…But the effect we see is weakly-dependent on magnetic field strength. Moreover, Wurster et al (2019) investigated the combined effects of non-ideal MHD terms upon the IMF predicted by simulations and found no systematic difference compared to ideal MHD. And even if we imagined the "most extreme non-ideal" limit, where non-ideal terms allowed for either efficient decoupling of magnetic fields from most of the gas (ambipolar diffusion) or efficient magnetic damping (resistivity), this would lead to results more like non-MHD simulations, which as discussed above fare even more poorly at predicting any IMF shape resembling that observed.…”
AbstractUnderstanding the evolution of self-gravitating, isothermal, magnetized gas is crucial for star formation, as these physical processes have been postulated to set the initial mass function (IMF). We present a suite of isothermal magnetohydrodynamic (MHD) simulations using the GIZMO code, that follow the formation of individual stars in giant molecular clouds (GMCs), spanning a range of Mach numbers found in observed GMCs ($\mathcal {M} \sim 10-50$). As in past works, the mean and median stellar masses are sensitive to numerical resolution, because they are sensitive to low-mass stars that contribute a vanishing fraction of the overall stellar mass. The mass-weighted median stellar mass M50 becomes insensitive to resolution once turbulent fragmentation is well-resolved. Without imposing Larson-like scaling laws, our simulations find $M_\mathrm{50} M_\mathrm{0} \mathcal {M}^{-3} \alpha _\mathrm{turb} \mathrm{SFE}^{1/3}$ for GMC mass M0, sonic Mach number $\mathcal {M}$, virial parameter αturb, and star formation efficiency SFE = M⋆/M0. This fit agrees well with previous IMF results from the RAMSES, ORION2, and SphNG codes. Although M50 has no significant dependence on the magnetic field strength at the cloud scale, MHD is necessary to prevent a fragmentation cascade that results in non-convergent stellar masses. For initial conditions and SFE similar to star-forming GMCs in our Galaxy, we predict M50 to be >20M⊙, an order of magnitude larger than observed (∼2M⊙), together with an excess of brown dwarfs. Moreover, M50 is sensitive to initial cloud properties and evolves strongly in time within a given cloud, predicting much larger IMF variations than are observationally allowed. We conclude that physics beyond MHD turbulence and gravity are necessary ingredients for the IMF.
“…Federrath et al 2010). Overall the good agreement between the present study, Haugbølle et al (2018), , Wurster et al (2019), and arguably Padoan et al (2019) is encouraging, suggesting that these IMF predictions have some robustness to choice of MHD solver and numerical sink particle prescriptions.…”
Section: Comparison With Other Simulation Studiessupporting
confidence: 84%
“…To achieve satisfactory statistics at the high density end we stacked the distribution from 10 snapshots around the target SFE. Despite the different initial conditions all runs saturate to the same B ∝ ρ 1/2 line (corresponding to v A = 2c s ), similar to the results of Wurster et al (2019). The results depart from the power-law above ρ ∼ 3 × 10 −14 g cm −3 , corresponding to the maximum Jeans-resolved density ρ J for these simulations (Equation 10).…”
Section: As a Function Of Initial Conditionssupporting
confidence: 77%
“…But the effect we see is weakly-dependent on magnetic field strength. Moreover, Wurster et al (2019) investigated the combined effects of non-ideal MHD terms upon the IMF predicted by simulations and found no systematic difference compared to ideal MHD. And even if we imagined the "most extreme non-ideal" limit, where non-ideal terms allowed for either efficient decoupling of magnetic fields from most of the gas (ambipolar diffusion) or efficient magnetic damping (resistivity), this would lead to results more like non-MHD simulations, which as discussed above fare even more poorly at predicting any IMF shape resembling that observed.…”
AbstractUnderstanding the evolution of self-gravitating, isothermal, magnetized gas is crucial for star formation, as these physical processes have been postulated to set the initial mass function (IMF). We present a suite of isothermal magnetohydrodynamic (MHD) simulations using the GIZMO code, that follow the formation of individual stars in giant molecular clouds (GMCs), spanning a range of Mach numbers found in observed GMCs ($\mathcal {M} \sim 10-50$). As in past works, the mean and median stellar masses are sensitive to numerical resolution, because they are sensitive to low-mass stars that contribute a vanishing fraction of the overall stellar mass. The mass-weighted median stellar mass M50 becomes insensitive to resolution once turbulent fragmentation is well-resolved. Without imposing Larson-like scaling laws, our simulations find $M_\mathrm{50} M_\mathrm{0} \mathcal {M}^{-3} \alpha _\mathrm{turb} \mathrm{SFE}^{1/3}$ for GMC mass M0, sonic Mach number $\mathcal {M}$, virial parameter αturb, and star formation efficiency SFE = M⋆/M0. This fit agrees well with previous IMF results from the RAMSES, ORION2, and SphNG codes. Although M50 has no significant dependence on the magnetic field strength at the cloud scale, MHD is necessary to prevent a fragmentation cascade that results in non-convergent stellar masses. For initial conditions and SFE similar to star-forming GMCs in our Galaxy, we predict M50 to be >20M⊙, an order of magnitude larger than observed (∼2M⊙), together with an excess of brown dwarfs. Moreover, M50 is sensitive to initial cloud properties and evolves strongly in time within a given cloud, predicting much larger IMF variations than are observationally allowed. We conclude that physics beyond MHD turbulence and gravity are necessary ingredients for the IMF.
“…The first is that the two clouds lie within a low density medium, which is one hundredth of the density of the clouds. This is the same approach as Wurster et al (2019), who modelled isolated clouds within a low density medium. The magnetic field permeates both the clouds and this surrounding medium, preventing the magnetic field becoming unstable at the edge of the cloud, and removing the need for more complex magnetic boundary conditions.…”
Section: Details Of Simulationsmentioning
confidence: 99%
“…The extent of the low density medium is ±120 pc in the x dimension, and ±46 pc in the y and z dimensions. Secondly, following the setup of the initial conditions in Wurster et al (2019), the particles are initially allocated on a grid in both the clouds and the low density surrounding medium, rather than randomly.…”
We have performed Smoothed Particle Magneto-Hydrodynamics (SPMHD) calculations of colliding clouds to investigate the formation of massive stellar clusters, adopting a timestep criterion to prevent large divergence errors. We find that magnetic fields do not impede the formation of young massive clusters (YMCs), and the development of high star formation rates, although we do see a strong dependence of our results on the direction of the magnetic field. If the field is initially perpendicular to the collision, and sufficiently strong, we find that star formation is delayed, and the morphology of the resulting clusters is significantly altered. We relate this to the large amplification of the field with this initial orientation. We also see that filaments formed with this configuration are less dense. When the field is parallel to the collision, there is much less amplification of the field, dense filaments form, and the formation of clusters is similar to the purely hydrodynamical case. Our simulations reproduce the observed tendency for magnetic fields to be aligned perpendicularly to dense filaments, and parallel to low density filaments. Overall our results are in broad agreement with past work in this area using grid codes.
Binary formation is an important aspect of star formation. One possible route for close-in binary formation is disk fragmentation [1,2,3] . Recent observations show small scale asymmetries (<300 au) around young protostars [2,4] , although not always resolving the circumbinary disk, are linked to disk phenomena [5,6] . In later stages, resolved circumbinary disk observations [7] (<200 au) show similar asymmetries, suggesting the origin of the asymmetries arises from binary-disk interactions [8,9,10] . We observed one of the youngest systems to study the connection between disk and dense core. We find for the first time a bright and clear streamer in chemically fresh material (Carbon-chain species) that originates from outside the dense core (>10,500 au). This material connects the outer dense core with the region where asymmetries arise near disk scales. This new structure type, 10x larger than those seen near disk scales, suggests a different interpretation of previous observations: largescale accretion flows funnel material down to disk scales. These results reveal the underappreciated importance of the local environment on the formation and evolution of disks in early systems [13,14] and a possible initial condition for the formation of annular features in young disks [15,16] .
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