Pillepich, Annalisa
Max Planck Institute for Astronomy
9 papers on CoChatORCID 0000-0003-1065-9274
Most cited papers
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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
- Verified
The CAMELS Project: Cosmology and Astrophysics with Machine-learning Simulations
Villaescusa-Navarro, F., Anglés-Alcázar, D., Genel, S., Spergel, D. N., S. Somerville, R., Dave, R., Pillepich, A., Hernquist, L., Nelson, D., Torrey, P., et al. (2021) · The Astrophysical Journal
Galaxies: Formation, Evolution, PhenomenaCosmology and Gravitation Theories
Cited by 304
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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
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Introducing the TNG-Cluster simulation: Overview and the physical properties of the gaseous intracluster medium
Nelson, D., Pillepich, A., Ayromlou, M., Lee, W., Lehle, K., Rohr, E., & Truong, N. (2024) · Astronomy & Astrophysics
Galaxies: Formation, Evolution, PhenomenaCosmology and Gravitation Theories
Cited by 110
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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
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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
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Radio relics in massive galaxy cluster mergers in the TNG-Cluster simulation
Lee, W., Pillepich, A., ZuHone, J., Nelson, D., Jee, M. J., Nagai, D., & Finner, K. (2024) · Astronomy & Astrophysics
Galaxies: Formation, Evolution, PhenomenaAstrophysics and Cosmic Phenomena
Cited by 37
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Teaching Neural Networks to Generate Fast Sunyaev–Zel’dovich Maps
Thiele, L., Villaescusa-Navarro, F., Spergel, D. N., Nelson, D., & Pillepich, A. (2020) · The Astrophysical Journal
Galaxies: Formation, Evolution, PhenomenaCosmology and Gravitation Theories
Cited by 16
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TNGC-SIDM I: Evolution of massive cluster mergers under the self-interacting dark matter paradigm
Lee, W., Nelson, D., Jee, M. J., Despali, G., Vogelsberger, M., Pillepich, A., Roche, C., Finner, K., Joo, H., Nagai, D., et al. (2026) · arXiv
Galaxies: Formation, Evolution, PhenomenaDark Matter and Cosmic Phenomena
Cited by 0
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