Empirical Dust Attenuation Model Leads to More Realistic UVJ Diagram for TNG100 Galaxies
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[1] Benjamin D. Johnson,et al. How Well Can We Measure Galaxy Dust Attenuation Curves? The Impact of the Assumed Star-dust Geometry Model in Spectral Energy Distribution Fitting , 2022, The Astrophysical Journal.
[2] D. Foreman-Mackey,et al. A Bayesian Population Model for the Observed Dust Attenuation in Galaxies , 2022, The Astrophysical Journal.
[3] S. Tacchella,et al. Reproducing the UVJ Color Distribution of Star-forming Galaxies at 0.5 < z < 2.5 with a Geometric Model of Dust Attenuation , 2021, The Astrophysical Journal Letters.
[4] E. Bell,et al. Toward Precise Galaxy Evolution: A Comparison between Spectral Indices of z ∼1 Galaxies in the IllustrisTNG Simulation and the LEGA-C Survey , 2021, The Astronomical Journal.
[5] E. Bell,et al. The Large Early Galaxy Astrophysics Census (LEGA-C) Data Release 3: 3000 High-quality Spectra of K s -selected Galaxies at z > 0.6 , 2021, The Astrophysical Journal Supplement Series.
[6] D. Narayanan,et al. Quenching and the UVJ Diagram in the SIMBA Cosmological Simulation , 2021, The Astrophysical Journal.
[7] Benjamin D. Johnson,et al. Stellar Population Inference with Prospector , 2020, The Astrophysical Journal Supplement Series.
[8] Benjamin D. Johnson,et al. How Well Can We Measure the Stellar Mass of a Galaxy: The Impact of the Assumed Star Formation History Model in SED Fitting , 2020, The Astrophysical Journal.
[9] D. Narayanan,et al. The Dust Attenuation Law in Galaxies , 2020, Annual Review of Astronomy and Astrophysics.
[10] Benjamin D. Johnson,et al. A New Census of the 0.2 < z < 3.0 Universe. I. The Stellar Mass Function , 2019, The Astrophysical Journal.
[11] Johannes L. Schönberger,et al. SciPy 1.0: fundamental algorithms for scientific computing in Python , 2019, Nature Methods.
[12] C. Conroy,et al. Beyond UVJ: More Efficient Selection of Quiescent Galaxies with Ultraviolet/Mid-infrared Fluxes , 2019, The Astrophysical Journal.
[13] A. Cimatti,et al. Quiescent Galaxies at z ≳ 2.5: Observations versus Models , 2019, The Astrophysical Journal.
[14] V. Springel,et al. Morphology and star formation in IllustrisTNG: the build-up of spheroids and discs , 2019, Monthly Notices of the Royal Astronomical Society.
[15] J. Speagle. dynesty: a dynamic nested sampling package for estimating Bayesian posteriors and evidences , 2019, Monthly Notices of the Royal Astronomical Society.
[16] R. Ciardullo,et al. Galaxies of the z ∼ 2 Universe. I. Grism-selected Rest-frame Optical Emission-line Galaxies , 2019, The Astrophysical Journal.
[17] D. Narayanan,et al. simba: Cosmological simulations with black hole growth and feedback , 2019, Monthly Notices of the Royal Astronomical Society.
[18] V. Springel,et al. The star formation activity of IllustrisTNG galaxies: main sequence, UVJ diagram, quenched fractions, and systematics , 2018, Monthly Notices of the Royal Astronomical Society.
[19] Benjamin D. Johnson,et al. An Older, More Quiescent Universe from Panchromatic SED Fitting of the 3D-HST Survey , 2018, Proceedings of the International Astronomical Union.
[20] Annalisa Pillepich,et al. The IllustrisTNG simulations: public data release , 2018, Computational Astrophysics and Cosmology.
[21] J. Speagle,et al. Towards a radially resolved semi-analytic model for the evolution of disc galaxies tuned with machine learning , 2018, Monthly Notices of the Royal Astronomical Society.
[22] S. Belli,et al. MOSFIRE Spectroscopy of Quiescent Galaxies at 1.5 < z < 2.5. II. Star Formation Histories and Galaxy Quenching , 2018, The Astrophysical Journal.
[23] V. Wild,et al. Fast and Slow Paths to Quiescence: Ages and Sizes of 400 Quiescent Galaxies from the LEGA-C Survey , 2018, The Astrophysical Journal.
[24] M. Boquien,et al. Dust Attenuation Curves in the Local Universe: Demographics and New Laws for Star-forming Galaxies and High-redshift Analogs , 2018, 1804.05850.
[25] Miguel de Val-Borro,et al. The Astropy Project: Building an Open-science Project and Status of the v2.0 Core Package , 2018, The Astronomical Journal.
[26] G. Barro,et al. SHARDS: constraints on the dust attenuation law of star-forming galaxies at z∼2 , 2018, 1801.01128.
[27] A. Jones,et al. The Interstellar Dust Properties of Nearby Galaxies , 2017, Annual Review of Astronomy and Astrophysics.
[28] V. Springel,et al. First results from the IllustrisTNG simulations: radio haloes and magnetic fields , 2017, Monthly Notices of the Royal Astronomical Society.
[29] Annalisa Pillepich,et al. First results from the IllustrisTNG simulations: the stellar mass content of groups and clusters of galaxies , 2017, 1707.03406.
[30] Cca,et al. First results from the IllustrisTNG simulations: matter and galaxy clustering , 2017, 1707.03397.
[31] G. Kauffmann,et al. First results from the IllustrisTNG simulations: the galaxy colour bimodality , 2017, 1707.03395.
[32] E. Ramirez-Ruiz,et al. First results from the IllustrisTNG simulations: a tale of two elements - chemical evolution of magnesium and europium , 2017, 1707.03401.
[33] R. Dav'e,et al. mufasa: the assembly of the red sequence , 2017, 1704.01135.
[34] Annalisa Pillepich,et al. Simulating galaxy formation with the IllustrisTNG model , 2017, 1703.02970.
[35] Benjamin D. Johnson,et al. Nebular Continuum and Line Emission in Stellar Population Synthesis Models , 2016, 1611.08305.
[36] M. Dickinson,et al. GALEX–SDSS–WISE LEGACY CATALOG (GSWLC): STAR FORMATION RATES, STELLAR MASSES, AND DUST ATTENUATIONS OF 700,000 LOW-REDSHIFT GALAXIES , 2016, 1610.00712.
[37] Benjamin D. Johnson,et al. Deriving Physical Properties from Broadband Photometry with Prospector: Description of the Model and a Demonstration of its Accuracy Using 129 Galaxies in the Local Universe , 2016, 1609.09073.
[38] C. A. Oxborrow,et al. Planck2015 results , 2015, Astronomy & Astrophysics.
[39] A. V. D. Wel,et al. Predicting Quiescence: The Dependence of Specific Star Formation Rate on Galaxy Size and Central Density at 0.5 < z < 2.5 , 2016, 1607.03107.
[40] John Salvatier,et al. Probabilistic programming in Python using PyMC3 , 2016, PeerJ Comput. Sci..
[41] M. Franx,et al. THE VLT LEGA-C SPECTROSCOPIC SURVEY: THE PHYSICS OF GALAXIES AT A LOOKBACK TIME OF 7 Gyr , 2016, 1603.05479.
[42] Mattia Fumagalli,et al. THE 3D-HST SURVEY: HUBBLE SPACE TELESCOPE WFC3/G141 GRISM SPECTRA, REDSHIFTS, AND EMISSION LINE MEASUREMENTS FOR ∼100,000 GALAXIES , 2015, 1510.02106.
[43] V. Springel,et al. Introducing the Illustris Project: the evolution of galaxy populations across cosmic time , 2014, 1405.3749.
[44] Shannon G. Patel,et al. 3D-HST WFC3-SELECTED PHOTOMETRIC CATALOGS IN THE FIVE CANDELS/3D-HST FIELDS: PHOTOMETRY, PHOTOMETRIC REDSHIFTS, AND STELLAR MASSES , 2014, 1403.3689.
[45] A. Dekel,et al. On the origin of the fundamental metallicity relation and the scatter in galaxy scaling relations , 2013, 1311.1509.
[46] Bruno Milliard,et al. Encoding of the infrared excess in the NUVrK color diagram for star-forming galaxies , 2013, 1309.0008.
[47] C. Conroy. Modeling the Panchromatic Spectral Energy Distributions of Galaxies , 2013, 1301.7095.
[48] D. Elbaz,et al. GOODS-Herschel: dust attenuation properties of UV selected high redshift galaxies , 2012, 1207.3528.
[49] Garth D. Illingworth,et al. 3D-HST: A WIDE-FIELD GRISM SPECTROSCOPIC SURVEY WITH THE HUBBLE SPACE TELESCOPE , 2012, 1204.2829.
[50] V. Wild,et al. Empirical determination of the shape of dust attenuation curves in star-forming galaxies , 2011, 1106.1646.
[51] S. Ravindranath,et al. CANDELS: THE COSMIC ASSEMBLY NEAR-INFRARED DEEP EXTRAGALACTIC LEGACY SURVEY—THE HUBBLE SPACE TELESCOPE OBSERVATIONS, IMAGING DATA PRODUCTS, AND MOSAICS , 2011, 1105.3753.
[52] A. Cimatti,et al. GMASS ultradeep spectroscopy of galaxies at z ~ 2 - IV. The variety of dust populations , 2009, 0903.3972.
[53] P. P. van der Werf,et al. What Do We Learn from IRAC Observations of Galaxies at 2 < z < 3.5? , 2006, astro-ph/0609548.
[54] M. Skrutskie,et al. The Two Micron All Sky Survey (2MASS) , 2006 .
[55] Spain.,et al. Star formation and dust attenuation properties in galaxies from a statistical ultraviolet‐to‐far‐infrared analysis , 2005, astro-ph/0504434.
[56] B. Draine. INTERSTELLAR DUST GRAINS , 2003, astro-ph/0304489.
[57] G. Chabrier. Galactic Stellar and Substellar Initial Mass Function , 2003, astro-ph/0304382.
[58] S. M. Fall,et al. A Simple Model for the Absorption of Starlight by Dust in Galaxies , 2000, astro-ph/0003128.
[59] A. Kinney,et al. The Dust Content and Opacity of Actively Star-forming Galaxies , 1999, astro-ph/9911459.
[60] A. Kinney,et al. Dust extinction of the stellar continua in starburst galaxies: The Ultraviolet and optical extinction law , 1994 .
[61] J. B. Oke. Absolute spectral energy distributions for white dwarfs , 1974 .
[62] V. Wild,et al. Insights into the content and spatial distribution of dust from the integrated spectral properties of galaxies , 2013, Monthly Notices of the Royal Astronomical Society.
[63] M. Bessell,et al. UBVRI PASSBANDS. , 1990 .