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Star formation on galactic scales is known to be a slow process, but whether it is slow on smaller scales is uncertain. We cross-correlate 5469 giant molecular clouds (GMCs) from a new all-sky catalog with 256 star forming complexes (SFCs)…

Astrophysics of Galaxies · Physics 2016-12-28 Eve J. Lee , Marc-Antoine Miville-Deschenes , Norman Murray

Observations find a median star formation efficiency per free-fall time in Milky Way Giant Molecular Clouds (GMCs) on the order of $\epsilon_{\rm ff}\sim 1\%$ with dispersions of $\sim0.5\,{\rm dex}$. The origin of this scatter in…

Astrophysics of Galaxies · Physics 2019-05-08 Kearn Grisdale , Oscar Agertz , Florent Renaud , Alessandro B. Romeo , Julien Devriendt , Adrianne Slyz

Massive stars are key players in the evolution of galaxies, yet their formation pathway remains unclear. In this work, we use data from several galaxy-wide surveys to build an unbiased dataset of ~700 massive young stellar objects (MYSOs),…

Astrophysics of Galaxies · Physics 2016-11-23 B. B. Ochsendorf , M. Meixner , J. Chastenet , A. G. G. M. Tielens , J. Roman-Duval

We present a large suite of MHD simulations of turbulent, star-forming giant molecular clouds(GMCs) with stellar feedback, extending previous work by simulating 10 different random realizations for each point in the parameter space of cloud…

The regulation of galactic-scale star formation rates (SFRs) is a basic problem for theories of galaxy formation and evolution: which processes are responsible for making observed star formation rates so inefficient compared to maximal…

Astrophysics of Galaxies · Physics 2015-06-23 Sven Van Loo , Jonathan C. Tan , Sam A. E. G. Falle

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…

Astrophysics of Galaxies · Physics 2020-03-25 Benjamin Wu , Jonathan C. Tan , Duncan Christie , Fumitaka Nakamura

Energetic feedback from star clusters plays a pivotal role in shaping the dynamical evolution of giant molecular clouds (GMCs). To study the effects of stellar feedback on the star formation efficiency of the clouds and the dynamical…

Astrophysics of Galaxies · Physics 2019-05-29 Hui Li , Mark Vogelsberger , Federico Marinacci , Oleg Y. Gnedin

Collisions between giant molecular clouds (GMCs) are one of the pathways for massive star formation, due to the high densities created. However the enhancement of the star formation rate (SFR) is not well constrained. In this study we…

Astrophysics of Galaxies · Physics 2023-01-13 Glen H. Hunter , Paul C. Clark , Simon C. O. Glover , Ralf S. Klessen

The relations between star formation and properties of molecular clouds are studied based on a sample of star forming regions in the Galactic Plane. Sources were selected by having radio recombination lines to provide identification of…

Solar and Stellar Astrophysics · Physics 2017-03-08 Nalin Vutisalchavakul , Neal J. Evans , Mark Heyer

We study giant molecular cloud (GMC) collisions and their ability to trigger star cluster formation. We further develop our three dimensional magnetized, turbulent, colliding GMC simulations by implementing star formation sub-grid models.…

Astrophysics of Galaxies · Physics 2017-06-14 Benjamin Wu , Jonathan C. Tan , Duncan Christie , Fumitaka Nakamura , Sven Van Loo , David Collins

All stars are born in molecular clouds, and most in giant molecular clouds (GMCs), which thus set the star formation activity of galaxies. We first review their observed properties, including measures of mass surface density, Sigma, and…

Astrophysics of Galaxies · Physics 2015-06-12 Jonathan C. Tan , Suzanne N. Shaske , Sven Van Loo

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,…

Astrophysics of Galaxies · Physics 2020-11-25 Kearn Grisdale

The physics of star formation and the deposition of mass, momentum, and energy into the interstellar medium by massive stars (`feedback') are the main uncertainties in modern cosmological simulations of galaxy formation and evolution. These…

Measurements of the star formation efficiency (SFE) of giant molecular clouds (GMCs) in the Milky Way generally show a large scatter, which could be intrinsic or observational. We use magnetohydrodynamic simulations of GMCs (including…

Large-scale star formation in disk galaxies is hypothesized to be driven by global gravitational instability. The observed gas surface density is commonly used to compute the strength of gravitational instability, but according to this…

Giant molecular clouds (GMCs) are the primary reservoirs of cold, star-forming molecular gas in the Milky Way and similar galaxies, and thus any understanding of star formation must encompass a model for GMC formation, evolution, and…

The properties of young star clusters formed within a galaxy are thought to vary in different interstellar medium (ISM) conditions, but the details of this mapping from galactic to cluster scales are poorly understood due to the large…

We present a suite of 3D multi-physics MHD simulations following star formation in isolated turbulent molecular gas disks ranging from 5 to 500 parsecs in radius. These simulations are designed to survey the range of surface densities…

We investigate how the properties of Galactic giant molecular clouds (GMCs) and their denser substructures (clumps) correlate with the local star formation rate. We trace clouds using the $^{12}$CO(3-2) transition, as observed by the CO…

Astrophysics of Galaxies · Physics 2019-09-04 Erika Zetterlund , Jason Glenn , Erik Rosolowsky

We present a study of a star formation prescription in which star formation efficiency depends on local gas density and turbulent velocity dispersion, as suggested by direct simulations of SF in turbulent giant molecular clouds (GMCs). We…

Astrophysics of Galaxies · Physics 2017-08-22 Vadim A. Semenov , Andrey V. Kravtsov , Nickolay Y. Gnedin
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