Hernquist, Lars

Simulating galaxy formation with the IllustrisTNG model

Pillepich, A., Springel, V., Nelson, D., Genel, S., Naiman, J., Pakmor, R., Hernquist, L., Torrey, P., Vogelsberger, M., Weinberger, R., et al. (2018) · Monthly Notices of the Royal Astronomical Society

Galaxies: Formation, Evolution, PhenomenaAstrophysics and Star Formation Studies

Cited by 2,007

Heating of galactic disks by mergers

Quinn, P. J., Hernquist, L., & Fullagar, D. P. (1993) · The Astrophysical Journal

Galaxies: Formation, Evolution, PhenomenaStellar, planetary, and galactic studies

Cited by 557

The fraction of dark matter within galaxies from the IllustrisTNG simulations

Lovell, M. R., Pillepich, A., Genel, S., Nelson, D., Springel, V., Pakmor, R., Marinacci, F., Weinberger, R., Torrey, P., Vogelsberger, M., et al. (2018) · Monthly Notices of the Royal Astronomical Society

Galaxies: Formation, Evolution, PhenomenaStellar, planetary, and galactic studies

Cited by 149

Cosmological Simulations of Quasar Fueling to Subparsec Scales Using Lagrangian Hyper-refinement

Anglés-Alcázar, D., Quataert, E., Hopkins, P. F., Somerville, R. S., Hayward, C. C., Faucher-Giguère, C.-A., Bryan, G. L., Kereš, D., Hernquist, L., & Stone, J. M. (2021) · The Astrophysical Journal

Galaxies: Formation, Evolution, PhenomenaAstrophysical Phenomena and Observations

Cited by 118

Deep learning predictions of galaxy merger stage and the importance of observational realism

Bottrell, C., Hani, M. H., Teimoorinia, H., Ellison, S. L., Moreno, J., Torrey, P., Hayward, C. C., Thorp, M., Simard, L., & Hernquist, L. (2019) · Monthly Notices of the Royal Astronomical Society

Galaxies: Formation, Evolution, PhenomenaAdvanced Neural Network Applications

Cited by 113

X-ray bubbles in the circumgalactic medium of TNG50 Milky Way- and M31-like galaxies: signposts of supermassive black hole activity

Pillepich, A., Nelson, D., Truong, N., Weinberger, R., Martin-Navarro, I., Springel, V., Faber, S. M., & Hernquist, L. (2021) · Monthly Notices of the Royal Astronomical Society

Galaxies: Formation, Evolution, PhenomenaAstrophysical Phenomena and Observations

Cited by 87

A deep learning approach to test the small-scale galaxy morphology and its relationship with star formation activity in hydrodynamical simulations

Zanisi, L., Huertas-Company, M., Lanusse, F., Bottrell, C., Pillepich, A., Nelson, D., Rodriguez-Gomez, V., Shankar, F., Hernquist, L., Dekel, A., et al. (2021) · Monthly Notices of the Royal Astronomical Society

Galaxies: Formation, Evolution, PhenomenaAstrophysics and Star Formation Studies

Cited by 65

Automated distant galaxy merger classifications from Space Telescope images using the Illustris simulation

Snyder, G. F., Rodriguez-Gomez, V., Lotz, J. M., Torrey, P., Quirk, A. C. N., Hernquist, L., Vogelsberger, M., & Freeman, P. E. (2019) · Monthly Notices of the Royal Astronomical Society

Galaxies: Formation, Evolution, PhenomenaStellar, planetary, and galactic studies

Cited by 65