2003
DOI: 10.1046/j.1365-8711.2003.06598.x
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Accretion and dynamical interactions in small-Nstar-forming clusters:N= 5

Abstract: We present results from high‐resolution hydrodynamical simulations that explore the effects of small‐scale clustering in star‐forming regions. A large ensemble of small‐N clusters with five stellar seeds have been modelled and the resulting properties of stars and brown dwarfs statistically derived and compared with observational data. Close dynamical interactions between the protostars and competitive accretion driven by the cloud collapse are shown to produce a distribution of final masses that is bimodal, w… Show more

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Cited by 75 publications
(90 citation statements)
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References 59 publications
(112 reference statements)
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“…Global simulations of cloud collapse support this scenario and predict the formation of even higher density subclusters consisting of 10-50 protostellar seeds (Klessen et al 1998;Bate et al 2003;Bonnell et al 2003). Small-N protostellar aggregates as well as high density subclusters undergo rapid dynamical evolution on a timescale of 10 4−5 yr (Sterzik & Durisen 1998;Delgado-Donate et al 2003). The dynamical decay of initially unstable groups is thus expected to eject most of the lowest mass protostellar seeds, with a typical ejection velocity of < ∼ 1 km s −1 , while those remaining in the cloud core form stable binary and higher order multiple systems.…”
Section: Confrontation With Model Predictionsmentioning
confidence: 81%
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“…Global simulations of cloud collapse support this scenario and predict the formation of even higher density subclusters consisting of 10-50 protostellar seeds (Klessen et al 1998;Bate et al 2003;Bonnell et al 2003). Small-N protostellar aggregates as well as high density subclusters undergo rapid dynamical evolution on a timescale of 10 4−5 yr (Sterzik & Durisen 1998;Delgado-Donate et al 2003). The dynamical decay of initially unstable groups is thus expected to eject most of the lowest mass protostellar seeds, with a typical ejection velocity of < ∼ 1 km s −1 , while those remaining in the cloud core form stable binary and higher order multiple systems.…”
Section: Confrontation With Model Predictionsmentioning
confidence: 81%
“…The frequency and orbital properties of protostellar systems are expected to evolve on various timescales due to a number of processes, such as dynamical decay of initially unstable configurations (∼10 4−5 yr, e.g., Delgado-Donate et al 2003;Goodwin et al 2004a) or disruptive encounters with other systems if located in dense environments (∼10 5−6 yr). In this context, a somewhat surprising result is the similar frequency and properties we find for protostellar systems in both Taurus and Ophiuchus.…”
Section: The Evolution Of Protostellar Multiple Systemsmentioning
confidence: 99%
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“…However, estimates for the frequency of tightly bound VLM spectroscopic binaries (SBs; roughly 10% of currently known systems) span a broad range of 1%-25% (Maxted & Jeffries 2005;Basri & Reiners 2006;Kurosawa et al 2006;Joergens 2008;Blake et al 2010;Clark et al 2012). As such, there remains significant uncertainty in the overall VLM binary frequency, which has a direct impact on our understanding of how brown dwarfs form in the first place (e.g., Delgado-Donate et al 2003). There is also evidence that the orbital characteristics of multiples are mass dependent, with VLM binaries being on average tighter ( a ≈ 7 AU versus ≈ 30 AU) and more frequently composed of equal-mass components ( q ≡ M 2 /M 1 ≈ 1 versus ≈ 0.3) than their solar-mass counterparts (Allen 2007).…”
Section: Introductionmentioning
confidence: 99%