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  1. 1

    Forward and backward galaxy evolution in comoving cumulative number density space by Torrey, Paul, Wellons, Sarah, Ma, Chung-Pei, Hopkins, Philip F, Vogelsberger, Mark

    Published 2021
    “…We present a simple analytic framework to treat the physical processes that drive the evolution and diffusion of galaxies within comoving number density space. The evolution in mass rank order of a galaxy population with time is influenced by (1) the non-conservative nature of total galaxy number density driven by galaxies combining in mergers (which we tabulate as a galaxy ‘coagulation’ rate) and (2) galaxy ‘mass rank scatter’ driven by stochasticity in stellar-mass growth rates from in situ star formation and mergers. …”
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  2. 2

    Forward and backward galaxy evolution in comoving cumulative number density space by Torrey, Paul A., Wellons, Sarah, Ma, Chung-Pei, Hopkins, Philip F, Vogelsberger, Mark

    Published 2022
    “…We present a simple analytic framework to treat the physical processes that drive the evolution and diffusion of galaxies within comoving number density space. The evolution in mass rank order of a galaxy population with time is influenced by (1) the non-conservative nature of total galaxy number density driven by galaxies combining in mergers (which we tabulate as a galaxy ‘coagulation’ rate) and (2) galaxy ‘mass rank scatter’ driven by stochasticity in stellar-mass growth rates from in situ star formation and mergers. …”
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  3. 3

    Automated distant galaxy merger classifications from Space Telescope images using the Illustris simulation by Snyder, Gregory F, Rodriguez-Gomez, Vicente, Lotz, Jennifer M, Torrey, Paul, Quirk, Amanda CN, Hernquist, Lars, Vogelsberger, Mark, Freeman, Peter E

    Published 2021
    “…To do so, we created approximately one million synthetic deep Hubble Space Telescope and James Webb Space Telescope images and measured common morphological indicators. …”
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  4. 4

    Automated distant galaxy merger classifications from Space Telescope images using the Illustris simulation by Snyder, Gregory F, Rodriguez-Gomez, Vicente, Lotz, Jennifer M, Torrey, Paul A., Quirk, Amanda CN, Hernquist, Lars, Vogelsberger, Mark, Freeman, Peter E

    Published 2022
    “…To do so, we created approximately one million synthetic deep Hubble Space Telescope and James Webb Space Telescope images and measured common morphological indicators. …”
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    The Supersonic Project: Shining Light on SIGOs—A New Formation Channel for Globular Clusters by Chiou, Yeou S, Naoz, Smadar, Burkhart, Blakesley, Marinacci, Federico, Vogelsberger, Mark

    Published 2021
    “…An estimate of the luminosity of the first star clusters formed within these SIGOs suggests that they may be observed at high redshift using future Hubble Space Telescope and James Webb Space Telescope observations. …”
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  7. 7

    ETHOS – An effective parametrization and classification for structure formation: The non-linear regime at z ≿ 5 by Bohr, Sebastian, Zavala, Jesús, Cyr-Racine, Francine-Yan, Vogelsberger, Mark, Bringmann, Torsten, Pfrommer, Christoph

    Published 2022
    “…To define and explore this parameter space, we use high-redshift zoom-in simulations that cover a wide range of non-linear scales from those where DM should behave as CDM (k ∼ 10 hMpc−1), down to those characterized by the onset of galaxy formation (k ∼ 500 hMpc−1). …”
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    Cosmological simulations of galaxy formation by Vogelsberger, Mark, Marinacci, Federico, Torrey, Paul, Puchwein, Ewald

    Published 2021
    “…Modern simulations model dark matter, dark energy and ordinary matter in an expanding space-time starting from well-defined initial conditions. …”
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  10. 10

    Evaporating the Milky Way halo and its satellites with inelastic self-interacting dark matter by Vogelsberger, Mark, Zavala, Jesús, Schutz, Katelin, Slatyer, Tracy Robyn

    Published 2020
    “…In this case significantly smaller cross sections can achieve the same core density reduction thereby increasing the parameter space of allowed models considerably.…”
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  11. 11

    ETHOS – an effective theory of structure formation: predictions for the high-redshift Universe – abundance of galaxies and reionization by Lovell, Mark R, Zavala, Jesús, Vogelsberger, Mark, Vogelsberger, Mark, Shen, Xuejian, Cyr-Racine, Francis-Yan, Pfrommer, Christoph, Sigurdson, Kris, Boylan-Kolchin, Michael, Pillepich, Annalisa

    Published 2022
    “…We conclude that current observations of high-redshift luminosity functions cannot differentiate between ETHOS and CDM models, but deep James Webb Space Telescope surveys of strongly lensed, inherently faint galaxies have the potential to test non-CDM models that offer attractive solutions to CDM's Local Group problems.…”
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  12. 12

    On the density profile of dark matter substructure in gravitational lens galaxies by Vegetti, Simona, Vogelsberger, Mark

    Published 2015
    “…In particular, we find that the gravitational imaging technique can be used to exclude specific regions of the considered parameter space, and therefore, models that predict a large number of satellites in those regions. …”
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  13. 13

    Ingredients for 21 cm Intensity Mapping by Villaescusa-Navarro, Francisco, Genel, Shy, Castorina, Emanuele, Obuljen, Andrej, Spergel, David N, Hernquist, Lars, Nelson, Dylan, Carucci, Isabella P, Pillepich, Annalisa, Marinacci, Federico, Diemer, Benedikt, Vogelsberger, Mark, Weinberger, Rainer, Pakmor, Rüdiger

    Published 2021
    “…We study the clustering of H i in redshift space and show that linear theory can explain the ratio between the monopoles in redshift and real space down to 0.3, 0.5, and 1 h Mpc-1 at redshifts 3, 4, and 5, respectively. …”
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  14. 14

    ETHOS—an effective theory of structure formation: From dark particle physics to the matter distribution of the Universe by Cyr-Racine, Francis-Yan, Sigurdson, Kris, Zavala, Jesús, Bringmann, Torsten, Vogelsberger, Mark, Pfrommer, Christoph

    Published 2017
    “…Taken together, these effective parameters in ETHOS allow the classification of dark matter theories according to their structure formation properties rather than their intrinsic particle properties, paving the way for future simulations to span the space of viable dark matter physics relevant for structure formation.…”
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    Mapping substructure in the HST Frontier Fields cluster lenses and in cosmological simulations by Natarajan, Priyamvada, Chadayammuri, Urmila, Jauzac, Mathilde, Richard, Johan, Kneib, Jean-Paul, Ebeling, Harald, Jiang, Fangzhou, van den Bosch, Frank, Limousin, Marceau, Jullo, Eric, Atek, Hakim, Pillepich, Annalisa, Popa, Cristina, Marinacci, Federico, Hernquist, Lars, Meneghetti, Massimo, Vogelsberger, Mark

    Published 2021
    “…© 2017 The Authors We map the lensing-inferred substructure in the first three clusters observed by the Hubble Space Telescope Frontier Fields (HSTFF) Initiative: Abell 2744 (z = 0.308), MACSJ 0416, (z = 0.396) and MACSJ 1149 (z = 0.543). …”
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  17. 17

    The origin of the dust extinction curve in milky way-like galaxies by Li, Qi, Narayanan, Desika, Torrey, Paul, Davé, Romeel, Vogelsberger, Mark

    Published 2022
    “…Our models span comparable regions of bump-slope space as sightlines in the Galaxy do, though there is a lack of clear relationship between the model slopes and bump strengths owing to variations among galaxies in the graphite-to-silicate ratio. …”
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