Public Data Release of the FIRE-2 Cosmological Zoom-in Simulations of Galaxy Formation
暂无分享,去创建一个
P. Hopkins | E. Quataert | R. Feldmann | S. Loebman | M. Boylan-Kolchin | J. Bullock | C. Hummels | A. Wetzel | D. Keres̆ | C. Hayward | C. Faucher-Giguère | V. Pandya | R. Sanderson | S. Garrison-Kimmel | K. El-Badry | Coral Wheeler | D. Anglés-Alcázar | T. K. Chan | Arpit Arora | N. Panithanpaisal | Alex Gurvich | F. Nikakhtar | Xiangcheng Ma | Zachary Hafen | J. Samuel | Omid Sameie | X. Ma
[1] P. Hopkins,et al. Exploring supermassive black hole physics and galaxy quenching across halo mass in FIRE cosmological zoom simulations , 2022, Monthly Notices of the Royal Astronomical Society.
[2] A. Wetzel,et al. On the Stability of Tidal Streams in Action Space , 2022, The Astrophysical Journal.
[3] A. Wetzel,et al. Baryonic solutions and challenges for cosmological models of dwarf galaxies , 2022, Nature Astronomy.
[4] V. Belokurov,et al. From dawn till disk: Milky Way’s turbulent youth revealed by the APOGEE+Gaia data , 2022, Monthly Notices of the Royal Astronomical Society.
[5] J. Bailin,et al. 3D elemental abundances of stars at formation across the histories of Milky Way-mass galaxies in the FIRE simulations , 2022, Monthly Notices of the Royal Astronomical Society.
[6] P. Hopkins,et al. FIRE-3: Updated stellar evolution models, yields, & microphysics and fitting functions for applications in galaxy simulations , 2022, Monthly Notices of the Royal Astronomical Society.
[7] P. Hopkins,et al. Exploring metallicity-dependent rates of Type Ia supernovae and their impact on galaxy formation , 2022, Monthly Notices of the Royal Astronomical Society.
[8] K. Sandstrom,et al. The galactic dust-up: Modeling dust evolution in FIRE , 2022, Monthly Notices of the Royal Astronomical Society.
[9] Pablo Vera Alfaro,et al. THE SEVENTEENTH DATA RELEASE OF THE SLOAN DIGITAL SKY SURVEYS: COMPLETE RELEASE OF MANGA, MASTAR AND APOGEE-2 DATA , 2022 .
[10] P. Hopkins,et al. The impact of cosmic rays on dynamical balance and disk-halo interaction in L⋆ disk galaxies , 2021, Monthly Notices of the Royal Astronomical Society.
[11] P. Hopkins,et al. The In Situ Origins of Dwarf Stellar Outskirts in FIRE-2 , 2021, The Astrophysical Journal.
[12] C. Scarlata,et al. Testing the Relationship between Bursty Star Formation and Size Fluctuations of Local Dwarf Galaxies , 2021, The Astrophysical Journal.
[13] J. Bailin,et al. The Galaxy Progenitors of Stellar Streams around Milky Way–mass Galaxies in the FIRE Cosmological Simulations , 2021, The Astrophysical Journal.
[14] Vijith Jacob Poovelil,et al. New Families in our Solar Neighborhood: Applying Gaussian Mixture Models for Objective Classification of Structures in the Milky Way and in Simulations , 2021, The Astrophysical Journal.
[15] P. Hopkins,et al. Characterizing mass, momentum, energy and metal outflow rates of multi-phase galactic winds in the FIRE-2 cosmological simulations , 2021, Monthly Notices of the Royal Astronomical Society.
[16] P. Hopkins,et al. The bursty origin of the Milky Way thick disc , 2021, Monthly Notices of the Royal Astronomical Society.
[17] R. Feldmann,et al. 3D gas-phase elemental abundances across the formation histories of Milky Way-mass galaxies in the FIRE simulations: initial conditions for chemical tagging , 2021, Monthly Notices of the Royal Astronomical Society.
[18] V. Belokurov,et al. Can cosmological simulations capture the diverse satellite populations of observed Milky Way analogues? , 2020, Monthly Notices of the Royal Astronomical Society.
[19] P. Hopkins,et al. Progenitor-mass-dependent yields amplify intrinsic scatter in dwarf-galaxy elemental abundance ratios , 2020, Monthly Notices of the Royal Astronomical Society.
[20] P. Hopkins,et al. Virialization of the Inner CGM in the FIRE Simulations and Implications for Galaxy Disks, Star Formation, and Feedback , 2020, The Astrophysical Journal.
[21] D. Feuillet,et al. VINTERGATAN – I. The origins of chemically, kinematically, and structurally distinct discs in a simulated Milky Way-mass galaxy , 2020, Monthly Notices of the Royal Astronomical Society.
[22] R. Feldmann,et al. Realistic mock observations of the sizes and stellar mass surface densities of massive galaxies in FIRE-2 zoom-in simulations , 2020, Monthly notices of the Royal Astronomical Society.
[23] P. Hopkins,et al. Cosmological Simulations of Quasar Fueling to Subparsec Scales Using Lagrangian Hyper-refinement , 2020, 2008.12303.
[24] T. Quinn,et al. Ultrafaint Dwarfs in a Milky Way Context: Introducing the Mint Condition DC Justice League Simulations , 2020, 2008.11207.
[25] J. Bullock,et al. The time-scales probed by star formation rate indicators for realistic, bursty star formation histories from the FIRE simulations , 2020, Monthly Notices of the Royal Astronomical Society.
[26] M. Steinmetz,et al. The hestia project: simulations of the Local Group , 2020, Monthly Notices of the Royal Astronomical Society.
[27] A. J. Richings,et al. Pressure balance in the multiphase ISM of cosmologically simulated disc galaxies , 2020, Monthly Notices of the Royal Astronomical Society.
[28] P. Hopkins,et al. A dark matter profile to model diverse feedback-induced core sizes of ΛCDM haloes , 2020, Monthly Notices of the Royal Astronomical Society.
[29] P. Hopkins,et al. No missing photons for reionization: moderate ionizing photon escape fractions from the FIRE-2 simulations , 2020, Monthly Notices of the Royal Astronomical Society.
[30] P. Hopkins,et al. Testing physical models for cosmic ray transport coefficients on galactic scales: self-confinement and extrinsic turbulence at ∼GeV energies , 2020, Monthly Notices of the Royal Astronomical Society.
[31] Andrew Wetzel,et al. GizmoAnalysis: Read and analyze Gizmo simulations , 2020 .
[32] Andrew Wetzel,et al. HaloAnalysis: Read and analyze halo catalogs and merger trees , 2020 .
[33] J. Bailin,et al. The formation times and building blocks of Milky Way-mass galaxies in the FIRE simulations , 2020, Monthly Notices of the Royal Astronomical Society.
[34] P. Hopkins,et al. Live fast, die young: GMC lifetimes in the FIRE cosmological simulations of Milky Way mass galaxies , 2019, Monthly Notices of the Royal Astronomical Society.
[35] P. Hopkins,et al. Swirls of FIRE: spatially resolved gas velocity dispersions and star formation rates in FIRE-2 disc environments , 2019, Monthly Notices of the Royal Astronomical Society.
[36] A. Wetzel,et al. The fates of the circumgalactic medium in the FIRE simulations , 2019, Monthly Notices of the Royal Astronomical Society.
[37] M. Vogelsberger,et al. Cosmological simulations of galaxy formation , 2019, Nature Reviews Physics.
[38] P. Hopkins,et al. Measuring dynamical masses from gas kinematics in simulated high-redshift galaxies , 2019, Monthly Notices of the Royal Astronomical Society.
[39] P. Hopkins,et al. Self-consistent proto-globular cluster formation in cosmological simulations of high-redshift galaxies , 2019, Monthly Notices of the Royal Astronomical Society.
[40] C. Faucher-Giguère. A cosmic UV/X-ray background model update , 2019, Monthly Notices of the Royal Astronomical Society.
[41] Sarah Loebman,et al. Synthetic Gaia DR3 surveys from the FIRE cosmological simulations of Milky-Way-mass galaxies , 2023, 2306.16475.
[42] R. B. Barreiro,et al. Planck 2018 results , 2018, Astronomy & Astrophysics.
[43] S. Loebman,et al. Evolution of giant molecular clouds across cosmic time , 2019, Monthly Notices of the Royal Astronomical Society.
[44] J. Read,et al. EDGE: The Origin of Scatter in Ultra-faint Dwarf Stellar Masses and Surface Brightnesses , 2019, The Astrophysical Journal.
[45] P. Hopkins,et al. Properties of the circumgalactic medium in cosmic ray-dominated galaxy haloes , 2019, Monthly Notices of the Royal Astronomical Society.
[46] P. Hopkins,et al. Predictions for the spatial distribution of the dust continuum emission in $\boldsymbol {1\,\lt\, z\,\lt\, 5}$ star-forming galaxies , 2019, Monthly Notices of the Royal Astronomical Society.
[47] P. Hopkins,et al. But what about...: cosmic rays, magnetic fields, conduction, and viscosity in galaxy formation , 2019, Monthly Notices of the Royal Astronomical Society.
[48] J. Bailin,et al. A profile in FIRE: resolving the radial distributions of satellite galaxies in the Local Group with simulations , 2019, Monthly Notices of the Royal Astronomical Society.
[49] P. Hopkins,et al. Star formation histories of dwarf galaxies in the FIRE simulations: dependence on mass and Local Group environment , 2019, Monthly Notices of the Royal Astronomical Society.
[50] P. Hopkins,et al. Dust attenuation, dust emission, and dust temperature in galaxies at z ≥ 5: a view from the FIRE-2 simulations , 2019, Monthly Notices of the Royal Astronomical Society.
[51] D. Narayanan,et al. simba: Cosmological simulations with black hole growth and feedback , 2019, Monthly Notices of the Royal Astronomical Society.
[52] P. Hopkins,et al. Cosmic ray feedback in the FIRE simulations: constraining cosmic ray propagation with GeV γ-ray emission , 2018, Monthly Notices of the Royal Astronomical Society.
[53] Annalisa Pillepich,et al. The IllustrisTNG simulations: public data release , 2018, Computational Astrophysics and Cosmology.
[54] A. Dutton,et al. An observational test for star formation prescriptions in cosmological hydrodynamical simulations , 2018, Monthly Notices of the Royal Astronomical Society.
[55] P. Hopkins,et al. Be it therefore resolved: cosmological simulations of dwarf galaxies with 30 solar mass resolution , 2018, Monthly Notices of the Royal Astronomical Society.
[56] P. Hopkins,et al. Radiative stellar feedback in galaxy formation: Methods and physics , 2018, Monthly Notices of the Royal Astronomical Society.
[57] P. Hopkins,et al. The origins of the circumgalactic medium in the FIRE simulations , 2018, Monthly Notices of the Royal Astronomical Society.
[58] P. Hopkins,et al. Under the FIRElight: Stellar Tracers of the Local Dark Matter Velocity Distribution in the Milky Way , 2018, The Astrophysical Journal.
[59] Molly S. Peeples,et al. Figuring Out Gas & Galaxies in Enzo (FOGGIE). I. Resolving Simulated Circumgalactic Absorption at 2 ≤ z ≤ 2.5 , 2018, The Astrophysical Journal.
[60] Benjamin D. Johnson,et al. A Closer Look at Bursty Star Formation with LHα and LUV Distributions , 2018, The Astrophysical Journal.
[61] Andrew P. Hearin,et al. UniverseMachine: The correlation between galaxy growth and dark matter halo assembly from z = 0−10 , 2018, Monthly Notices of the Royal Astronomical Society.
[62] P. Hopkins,et al. The Local Group on FIRE: dwarf galaxy populations across a suite of hydrodynamic simulations , 2018, Monthly Notices of the Royal Astronomical Society.
[63] A. Babul,et al. Introducingromulusc: a cosmological simulation of a galaxy cluster with an unprecedented resolution , 2018, Monthly Notices of the Royal Astronomical Society.
[64] P. Jablonka,et al. Pushing back the limits: detailed properties of dwarf galaxies in a ΛCDM universe , 2018, Astronomy & Astrophysics.
[65] P. Hopkins,et al. Gas kinematics in FIRE simulated galaxies compared to spatially unresolved HI observations. , 2018, Monthly notices of the Royal Astronomical Society.
[66] P. Hopkins,et al. Predicting the binary black hole population of the Milky Way with cosmological simulations , 2018, Monthly Notices of the Royal Astronomical Society.
[67] P. Hopkins,et al. Reconciling Observed and Simulated Stellar Halo Masses , 2017, The Astrophysical Journal.
[68] P. Hopkins,et al. The origin of the diverse morphologies and kinematics of Milky Way-mass galaxies in the FIRE-2 simulations. , 2017, Monthly notices of the Royal Astronomical Society.
[69] P. Hopkins,et al. Discrete effects in stellar feedback: Individual Supernovae, Hypernovae, and IMF Sampling in Dwarf Galaxies. , 2017, Monthly notices of the Royal Astronomical Society.
[70] P. Hopkins,et al. The origin of ultra diffuse galaxies: stellar feedback and quenching. , 2017, Monthly notices of the Royal Astronomical Society.
[71] P. Hopkins,et al. Modelling chemical abundance distributions for dwarf galaxies in the Local Group: The impact of turbulent metal diffusion , 2017, 1710.06533.
[72] P. Hopkins,et al. Gas kinematics, morphology and angular momentum in the FIRE simulations , 2017, 1705.10321.
[73] Paul Torrey,et al. FIRE-2 simulations: physics versus numerics in galaxy formation , 2017, Monthly Notices of the Royal Astronomical Society.
[74] P. Hopkins,et al. Simulating galaxies in the reionization era with FIRE-2: morphologies and sizes , 2017, 1710.00008.
[75] P. Hopkins,et al. How to model supernovae in simulations of star and galaxy formation , 2017, 1707.07010.
[76] Carnegie,et al. Black holes on FIRE: stellar feedback limits early feeding of galactic nuclei , 2017, 1707.03832.
[77] Berkeley,et al. Simulating galaxies in the reionization era with FIRE-2: galaxy scaling relations, stellar mass functions, and luminosity functions , 2017, 1706.06605.
[78] T. Quinn,et al. Going, going, gone dark: Quantifying the scatter in the faintest dwarf galaxies , 2017, 1705.06286.
[79] P. Hopkins,et al. Gaia Reveals a Metal-rich, in situ Component of the Local Stellar Halo , 2017, 1704.05463.
[80] S. White,et al. The Cluster-EAGLE project: global properties of simulated clusters with resolved galaxies , 2017, 1703.10907.
[81] S. White,et al. The Hydrangea simulations: galaxy formation in and around massive clusters , 2017, 1703.10610.
[82] R. Klessen,et al. Introducing the FirstLight project: UV luminosity function and scaling relations of primeval galaxies , 2017, 1703.02913.
[83] V. Bromm,et al. Connecting the First Galaxies with Ultrafaint Dwarfs in the Local Group: Chemical Signatures of Population III Stars , 2017, 1702.07355.
[84] P. Hopkins,et al. Not so lumpy after all: modelling the depletion of dark matter subhaloes by Milky Way-like galaxies , 2017, 1701.03792.
[85] Oliver D. Elbert,et al. FIRE in the field: Simulating the threshold of galaxy formation , 2016, 1611.02281.
[86] P. Hopkins,et al. Colours, star formation rates and environments of star-forming and quiescent galaxies at the cosmic noon , 2016, 1610.02411.
[87] P. Hopkins,et al. Feedback first: the surprisingly weak effects of magnetic fields, viscosity, conduction and metal diffusion on sub-L* galaxy formation , 2016, 1607.05274.
[88] Caltech,et al. Gravitational torque-driven black hole growth and feedback in cosmological simulations , 2016, 1603.08007.
[89] P. Hopkins. Anisotropic Diffusion in Mesh-Free Numerical Magnetohydrodynamics , 2016, 1602.07703.
[90] Devin Silvia,et al. Trident: A Universal Tool for Generating Synthetic Absorption Spectra from Astrophysical Simulations , 2016, 1612.03935.
[91] P. Hopkins,et al. When the Jeans Do Not Fit: How Stellar Feedback Drives Stellar Kinematics and Complicates Dynamical Modeling in Low-mass Galaxies , 2016, 1610.04232.
[92] E. Hallman,et al. pyXSIM: Synthetic X-ray observations generator , 2016 .
[93] B. O’Shea,et al. GALAXY PROPERTIES AND UV ESCAPE FRACTIONS DURING THE EPOCH OF REIONIZATION: RESULTS FROM THE RENAISSANCE SIMULATIONS , 2016, 1604.07842.
[94] Joss Bland-Hawthorn,et al. The Galaxy in Context: Structural, Kinematic, and Integrated Properties , 2016, 1602.07702.
[95] P. Hopkins,et al. The formation of massive, quiescent galaxies at cosmic noon , 2016, 1601.04704.
[96] Caltech,et al. The no-spin zone: rotation versus dispersion support in observed and simulated dwarf galaxies , 2015, Monthly Notices of the Royal Astronomical Society.
[97] Liverpool John Moores University,et al. The APOSTLE simulations: solutions to the Local Group's cosmic puzzles , 2015, 1511.01098.
[98] Carlos S. Frenk,et al. The eagle simulations of galaxy formation: Public release of halo and galaxy catalogues , 2015, Astron. Comput..
[99] Gregory F. Snyder,et al. The illustris simulation: Public data release , 2015, Astron. Comput..
[100] G. Stinson,et al. NIHAO project – I. Reproducing the inefficiency of galaxy formation across cosmic time with a large sample of cosmological hydrodynamical simulations , 2015, 1503.04818.
[101] R. Teyssier,et al. Rhapsody-G simulations: galaxy clusters as baryonic closed boxes and the covariance between hot gas and galaxies , 2015, Monthly Notices of the Royal Astronomical Society.
[102] P. Hopkins. A new class of accurate, mesh-free hydrodynamic simulation methods , 2014, 1409.7395.
[103] P. Hopkins,et al. Galactic r-process enrichment by neutron star mergers in cosmological simulations of a Milky Way-mass galaxy , 2014, 1407.7039.
[104] C. Leitherer,et al. THE EFFECTS OF STELLAR ROTATION. II. A COMPREHENSIVE SET OF STARBURST99 MODELS , 2014, 1403.5444.
[105] P. Hopkins,et al. Galaxies on FIRE (Feedback In Realistic Environments): stellar feedback explains cosmologically inefficient star formation , 2013, 1311.2073.
[106] J. Bullock,et al. How to zoom: bias, contamination and Lagrange volumes in multimass cosmological simulations , 2013, 1305.6923.
[107] P. Hopkins,et al. The meaning and consequences of star formation criteria in galaxy models with resolved stellar feedback , 2013, 1303.0285.
[108] A. Szalay,et al. THE AGORA HIGH-RESOLUTION GALAXY SIMULATIONS COMPARISON PROJECT , 2013 .
[109] Oliver Hahn,et al. Multi-scale initial conditions for cosmological simulations , 2011, 1103.6031.
[110] P. Hopkins,et al. Self-regulated star formation in galaxies via momentum input from massive stars , 2011, 1101.4940.
[111] M. Norman,et al. yt: A MULTI-CODE ANALYSIS TOOLKIT FOR ASTROPHYSICAL SIMULATION DATA , 2010, 1011.3514.
[112] A. Knebe,et al. Ahf: AMIGA'S HALO FINDER , 2009, 0904.3662.
[113] K. Nomoto,et al. Nucleosynthesis yields of core-collapse supernovae and hypernovae, and galactic chemical evolution , 2006, astro-ph/0605725.
[114] F. Mannucci,et al. Two populations of progenitors for type ia supernovae , 2005, astro-ph/0510315.
[115] Risa H. Wechsler,et al. The shape of dark matter haloes : dependence on mass, redshift, radius and formation , 2005, astro-ph/0508497.
[116] V. Springel. The Cosmological simulation code GADGET-2 , 2005, astro-ph/0505010.
[117] R. Izzard,et al. A new synthetic model for asymptotic giant branch stars , 2004 .
[118] P. Kroupa. On the variation of the initial mass function , 2000, astro-ph/0009005.
[119] R. Somerville,et al. Profiles of dark haloes: evolution, scatter and environment , 1999, astro-ph/9908159.
[120] P. Marigo. Chemical Yields from Low- and Intermediate-Mass Stars , 1999, astro-ph/0012181.
[121] Koichi Iwamoto,et al. Nucleosynthesis in Chandrasekhar Mass Models for Type Ia Supernovae and Constraints on Progenitor Systems and Burning-Front Propagation , 1999 .
[122] Denis Foo Kune,et al. Starburst99: Synthesis Models for Galaxies with Active Star Formation , 1999, astro-ph/9902334.
[123] G. Bryan,et al. Statistical Properties of X-Ray Clusters: Analytic and Numerical Comparisons , 1997, astro-ph/9710107.
[124] M. Groenewegen,et al. New theoretical yields of intermediate mass stars , 1996, astro-ph/9610030.
[125] Simon D. M. White,et al. Hierarchical galaxy formation : overmerging and the formation of an X-ray cluster , 1993 .
[126] Phillip James Edwin Peebles,et al. Origin of the Angular Momentum of Galaxies , 1969 .