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By resimulating a region of a global disc simulation at higher resolution, we resolve and study the properties of molecular clouds with a range of masses from a few 100's M$_{\odot}$ to $10^6$ M$_{\odot}$. The purpose of our paper is…

Astrophysics of Galaxies · Physics 2015-06-23 Clare L. Dobbs

The interstellar medium (ISM) is an inseparable part of the Milky Way ecosystem whose evolutionary history remains a challenging question. We trace the evolution of the molecular ISM using a sample of Young Stellar Objects (YSO) association…

Astrophysics of Galaxies · Physics 2022-07-20 Guang-Xing Li , Ji-Xuan Zhou , Bing-Qiu Chen

We present the results of a study of simulated Giant Molecular Clouds (GMCs) formed in a Milky Way-type galactic disk with a flat rotation curve. This simulation, which does not include star formation or feedback, produces clouds with…

Astrophysics of Galaxies · Physics 2015-06-16 Samantha M. Benincasa , Elizabeth J. Tasker , Ralph E. Pudritz , James Wadsley

Giant molecular clouds (GMCs) are the sites of star formation and stellar feedback in galaxies. Their properties set the initial conditions for star formation and their lifecycles determine how feedback regulates galaxy evolution. In recent…

Astrophysics of Galaxies · Physics 2022-03-21 Mélanie Chevance , Mark R. Krumholz , Anna F. McLeod , Eve C. Ostriker , Erik W. Rosolowsky , Amiel Sternberg

We perform calculations of isolated disc galaxies to investigate how the properties of the ISM, the nature of molecular clouds, and the global star formation rate depend on the level of stellar feedback. We adopt a simple physical model,…

Astrophysics of Galaxies · Physics 2015-05-28 C. L. Dobbs , A. Burkert , J. E. Pringle

We investigate the formation and evolution of giant molecular clouds (GMCs) in a Milky-Way-like disk galaxy with a flat rotation curve. We perform a series of 3D adaptive mesh refinement (AMR) numerical simulations that follow both the…

Astrophysics · Physics 2009-07-22 Elizabeth J. Tasker , Jonathan C. Tan

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 accumulation, compression and cooling of the ambient interstellar medium (ISM) in large-scale flows powered by OB cluster feedback can drive the production of dense molecular clouds. We review the current state of the field, with a…

Astrophysics of Galaxies · Physics 2013-04-10 J. R. Dawson

We analyse the results of four simulations of isolated galaxies: two with a rigid spiral potential of fixed pattern speed, but with different degrees of star-formation induced feedback, one with an axisymmetric galactic potential and one…

Astrophysics of Galaxies · Physics 2015-06-05 C. L. Dobbs , J. E. Pringle , A. Burkert

We study the properties of giant molecular clouds (GMCs) from a smoothed particle hydrodynamics simulation of a portion of a spiral galaxy, modelled at high resolution, with robust representations of the physics of the interstellar medium.…

Astrophysics of Galaxies · Physics 2016-03-31 A. Duarte-Cabral , C. L. Dobbs

Giant molecular clouds (GMCs) and their stellar offspring are the building blocks of galaxies. The physical characteristics of GMCs and their evolution are tightly connected to galaxy evolution. The macroscopic properties of the…

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

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

We present a series of adaptive mesh refinement (AMR) hydrodynamic simulations of flat rotation curve galactic gas disks with a detailed treatment of the interstellar medium (ISM) physics of the atomic to molecular phase transition under…

Astrophysics of Galaxies · Physics 2018-01-24 Qi Li , Jonathan C. Tan , Duncan Christie , Thomas G. Bisbas , Benjamin Wu

Understanding mass, size, and surface mass density of giant molecular clouds (GMCs) in galaxies is key to insights into star formation processes. We analyze these in M33 using Herschel dust and archival IRAM 30m telescope data, compared to…

It remains a major challenge to derive a theory of cloud-scale ($\lesssim100$ pc) star formation and feedback, describing how galaxies convert gas into stars as a function of the galactic environment. Progress has been hampered by a lack of…

We use two existing molecular cloud catalogs derived from the same CO survey and two catalogs derived from local dust extinction surveys to investigate the nature of the GMC mass-size relation in the Galaxy. We find that the four surveys…

Astrophysics of Galaxies · Physics 2020-07-22 C. J. Lada , T. M. Dame

We present the results from simulations of GMC formation in spiral galaxies. First we discuss cloud formation by cloud-cloud collisions, and gravitational instabilities, arguing that the former is prevalent at lower galactic surface…

Astrophysics of Galaxies · Physics 2018-03-14 Clare Dobbs , Alex Pettitt

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…

We compare the properties of clouds in simulated M33 galaxies to those observed in the real M33. We apply a friends of friends algorithm and CPROPS to identify clouds, as well as a pixel by pixel analysis. We obtain very good agreement…

Astrophysics of Galaxies · Physics 2019-03-20 C. L. Dobbs , E. Rosolowsky , A. R. Pettitt , J. Braine , E. Corbelli , J. Sun
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