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相关论文: Numerical Simulations of Turbulent Molecular Cloud…

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I review recent numerical and analytical work on the feedback from both low- and high-mass cluster stars into their gasoeus environment. The main conclusions are that i) outflow driving appears capable of maintaing the turbulence in…

星系天体物理 · 物理学 2015-05-20 Enrique Vazquez-Semadeni

The star formation in molecular clouds is inefficient. The ionizing EUV radiation ($h \nu \geq 13.6$ eV) from young clusters has been considered as a primary feedback effect to limit the star formation efficiency (SFE). We here focus on…

星系天体物理 · 物理学 2020-09-15 Mutsuko Inoguchi , Takashi Hosokawa , Shin Mineshige , Jeong-Gyu Kim

Context. The evolution of massive stars is strongly influenced by internal mixing processes such as semiconvection, convective core overshooting, and rotationally induced mixing. None of these is currently well constrained. Aims. We…

太阳与恒星天体物理 · 物理学 2019-05-29 Abel Schootemeijer , Norbert Langer , Nathan J. Grin , Chen Wang

We investigate the formation of stars within giant molecular clouds (GMCs) evolving in environments of different global magnetic field strength and large-scale dynamics. Building upon a series of magnetohydrodynamic (MHD) simulations of…

星系天体物理 · 物理学 2020-03-25 Benjamin Wu , Jonathan C. Tan , Duncan Christie , Fumitaka Nakamura

We introduce MEGATRON, a new galaxy formation model for cosmological radiation hydrodynamics simulations of high-redshift galaxies. The model accounts for the non-equilibrium chemistry and heating/cooling processes of $\geq 80$ atoms, ions,…

星系天体物理 · 物理学 2026-02-03 Harley Katz , Martin P. Rey , Corentin Cadiou , Taysun Kimm , Oscar Agertz

We examine the combined effects of winds and photoionizing radiation from O--type stars on embedded stellar clusters formed in model turbulent molecular clouds covering a range of masses and radii. We find that feedback is able to increase…

星系天体物理 · 物理学 2015-08-06 J. E. Dale , B. Ercolano , I. A. Bonnell

A numerical shearing box is used to perform three-dimensional simulations of a 1 kpc stratified cubic box of turbulent and self-gravitating interstellar medium (in a rotating frame) with supernovae and HII feedback. We vary the value of the…

星系天体物理 · 物理学 2018-11-28 Cédric Colling , Patrick Hennebelle , Sam Geen , Olivier Iffrig , Frédéric Bournaud

Star formation is intimately linked to the dynamical evolution of molecular clouds. Turbulent fragmentation determines where and when protostellar cores form, and how they contract and grow in mass via accretion from the surrounding cloud…

天体物理学 · 物理学 2007-05-23 Ralf Klessen

Star formation is regulated through a variety of feedback processes. In this study, we treat feedback by X-rays and discuss its implications. Our aim is to investigate whether star formation is significantly affected when a star forming…

星系天体物理 · 物理学 2010-09-03 S. Hocuk , M. Spaans

In spite of decades of theoretical efforts, the physical origin of the stellar initial mass function (IMF) is still debated. We aim at understanding the influence of various physical processes such as radiative stellar feedback, magnetic…

We present hydrodynamic simulations of the evolution of self-gravitating dense gas on scales of 1 kiloparsec down to < parsec in a galactic disk, designed to study dense clump formation from giant molecular clouds (GMCs). These structures…

星系天体物理 · 物理学 2015-06-12 Sven Van Loo , Michael J. Butler , Jonathan C. Tan

It has been known for more than 30 years that star formation in giant molecular clouds (GMCs) is slow, in the sense that only ~1% of the gas forms stars every free-fall time. This result is entirely independent of any particular model of…

天体物理学 · 物理学 2008-11-26 Mark R. Krumholz , Jonathan C. Tan

The dust grain size distribution (GSD) likely varies significantly across star-forming environments in the Universe, but its impact on star formation remains unclear. This ambiguity arises because the GSD interacts non-linearly with…

星系天体物理 · 物理学 2024-10-08 Nadine H. Soliman , Philip F. Hopkins , Michael Y. Grudić

Understanding the formation of stellar clusters requires following the interplay between gas and newly formed stars accurately. We therefore couple the magnetohydrodynamics code FLASH to the N-body code ph4 and the stellar evolution code…

All molecular clouds are observed to be turbulent, but the origin, means of sustenance, and evolution of the turbulence remain debated. One possibility is that stellar feedback injects enough energy into the cloud to drive observed motions…

星系天体物理 · 物理学 2016-12-28 Ryan D. Boyden , Eric W. Koch , Erik W. Rosolowsky , Stella S. R. Offner

Feedback to the interstellar medium (ISM) from ionising radiation, stellar winds and supernovae is central to regulating star formation in galaxies. Due to their low mass ($M_{*} < 10^{9}$\,M$_\odot$), dwarf galaxies are particularly…

星系天体物理 · 物理学 2022-05-17 Michelle L. M. Collins , Justin I. Read

Massive star clusters are observed in a broad range of galaxy luminosity and types, and are assumed to form in dense gas-rich environments. Using a parsec-resolution hydrodynamical simulation of an isolated gas-rich low mass galaxy, we…

星系天体物理 · 物理学 2018-04-04 Nicolas Guillard , Eric Emsellem , Florent Renaud

Using hydrodynamical simulations of a Milky Way-like galaxy, reaching 4.6 pc resolution, we study how the choice of star formation criteria impacts both galactic and Giant Molecular Clouds (GMC) scales. We find that using a turbulent,…

星系天体物理 · 物理学 2020-11-25 Kearn Grisdale

A popular theory of star formation is gravito-turbulent fragmentation, in which self-gravitating structures are created by turbulence-driven density fluctuations. Simple theories of isothermal fragmentation successfully reproduce the core…

太阳与恒星天体物理 · 物理学 2018-04-25 David Guszejnov , Mark R. Krumholz , Philip F. Hopkins

We present a detailed study of the evolution of GMCs in a galactic disc simulation. We follow individual GMCs (defined in our simulations by a total column density criterion), including their level of star formation, from their formation to…

星系天体物理 · 物理学 2015-06-15 C. L. Dobbs , J. E. Pringle