SPICE: the connection between cosmic reionisation and stellar feedback in the first galaxies [PDF]
Monthly notices of the Royal Astronomical Society, 2023 We present SPICE, a new suite of radiation-hydrodynamic, cosmological simulations targeting the epoch of reionisation. The goal of these simulations is to systematically probe a variety of stellar feedback models, including ”bursty” and ”smooth” forms ...
Aniket Bhagwat +4 more
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Weather forecast of the Milky Way: Shear and stellar feedback determine the lives of galactic-scale filaments [PDF]
Monthly Notices of the Royal Astronomical Society: Letters, 2022 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 –molecular ...
Guangxing Li, Ji-Xuan Zhou, Bingqiu Chen
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Determining the Timescale over Which Stellar Feedback Drives Turbulence in the Interstellar Medium: A Study of Four Nearby Dwarf Irregular Galaxies [PDF]
Astronomical Journal, 2022 Stellar feedback is fundamental to the modeling of galaxy evolution, as it drives turbulence and outflows in galaxies. Understanding the timescales involved are critical for constraining the impact of stellar feedback on the interstellar medium.
Laura Congreve Hunter +4 more
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SIRIUS project. III. Star-by-star simulations of star cluster formation using a direct N -body integrator with stellar feedback [PDF]
Nippon Tenmon Gakkai obun kenkyu hokoku, 2021 One of the computational challenges of cluster formation simulations is resolving individual stars and simulating massive clusters with masses of more than 104 M⊙ without gravitational softening.
M. Fujii, T. Saitoh, Y. Hirai, Long Wang
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Molecular cloud evolution – V. Cloud destruction by stellar feedback [PDF]
Monthly Notices of the Royal Astronomical Society, 2013 We present a numerical study of the evolution of molecular clouds, from their formation by converging flows in the warm ISM, to their destruction by the ionizing feedback of the massive stars they form. We improve with respect to our previous simulations by including a different stellar-particle formation algorithm, which allows them to have masses ...
Pedro Colín +2 more
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Bursty star formation during the Cosmic Dawn driven by delayed stellar feedback [PDF]
, 2021 In recent years, several analytic models have demonstrated that simple assumptions about halo growth and feedback-regulated star formation can match the (limited) existing observational data on galaxies at z>6.
S. Furlanetto, J. Mirocha
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Invertible Neural Networks in Astrophysics [PDF]
EPJ Web of Conferences, 2022 Modern machine learning techniques have become indispensable in many fields of astronomy and astrophysics. Here we introduce a specific class of methods, invertible neural networks, and discuss two specific applications, the prediction of stellar ...
Klessen Ralf S.
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Stellar feedback efficiencies: supernovae versus stellar winds [PDF]
Monthly Notices of the Royal Astronomical Society, 2015 Stellar winds and supernova (SN) explosions of massive stars ('stellar feedback') create bubbles in the interstellar medium (ISM) and insert newly produced heavy elements and kinetic energy into their surroundings, possibly driving turbulence. Most of this energy is thermalized and immediately removed from the ISM by radiative cooling.
Fierlinger, Katharina M. +7 more
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The Cusp–Core Problem in Gas-Poor Dwarf Spheroidal Galaxies
Galaxies, 2021 This review deals with the inconsistency of inner dark matter density profiles in dwarf galaxies, known as the cusp–core problem. In particular, we aim to focus on gas-poor dwarf galaxies.
Pierre Boldrini
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Efficient early stellar feedback can suppress galactic outflows by reducing supernova clustering [PDF]
Monthly notices of the Royal Astronomical Society, 2020 We present a novel set of stellar feedback models, implemented in the moving-mesh code arepo, designed for galaxy formation simulations with near-parsec (or better) resolution. These include explicit sampling of stars from the IMF, allowing feedback to
Matthew C. Smith +6 more
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