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Kung-Yi Su

Columbia University · US
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Area of research
Astronomy and Astrophysics · Instrumentation
Research interest
Research interests include Physics, Astrophysics, Galaxy, Star formation, Supernova, and Cosmic ray.
h-index
citations
1,969
works
9
NIH funding
primary concept
email

Recent publications

Local positive feedback in the overall negative: the impact of quasar winds on star formation in the FIRE cosmological simulations
Monthly Notices of the Royal Astronomical Society 2023cited by 36position: middledoi
FIRE-3: updated stellar evolution models, yields, and microphysics and fitting functions for applications in galaxy simulations
Monthly Notices of the Royal Astronomical Society 2022cited by 120position: middledoi
Which AGN jets quench star formation in massive galaxies?
Monthly Notices of the Royal Astronomical Society 2021cited by 77position: firstdoi
But what about...: cosmic rays, magnetic fields, conduction, and viscosity in galaxy formation
Monthly Notices of the Royal Astronomical Society 2019cited by 185position: middledoi
Cosmic ray feedback in the FIRE simulations: constraining cosmic ray propagation with GeV γ-ray emission
Monthly Notices of the Royal Astronomical Society 2019cited by 160position: middledoi
The failure of stellar feedback, magnetic fields, conduction, and morphological quenching in maintaining red galaxies
Monthly Notices of the Royal Astronomical Society 2019cited by 65position: firstdoi
Cosmic rays or turbulence can suppress cooling flows (where thermal heating or momentum injection fail)
Monthly Notices of the Royal Astronomical Society 2019cited by 55position: firstdoi
FIRE-2 simulations: physics versus numerics in galaxy formation
Monthly Notices of the Royal Astronomical Society 2018cited by 1,097position: middledoi
Feedback first: the surprisingly weak effects of magnetic fields, viscosity, conduction and metal diffusion on sub-L* galaxy formation
Monthly Notices of the Royal Astronomical Society 2017cited by 174position: firstdoi

Grants

No grants ingested yet.

Frequent collaborators

Philip F. Hopkins · University of California, Berkeley8 papers (2017–2023)Dušan Kereš · University of California San Diego8 papers (2017–2023)Christopher C. Hayward · California Institute of Technology7 papers (2017–2023)Claude‐André Faucher‐Giguère · Northwestern University7 papers (2017–2023)T K Chan · Chinese University of Hong Kong5 papers (2019–2021)Eliot Quataert · Princeton University4 papers (2019–2023)M. Orr · California Institute of Technology4 papers (2019–2022)Xiangcheng Ma · University of Arizona4 papers (2017–2022)Victor H. Robles · Rensselaer Polytechnic Institute3 papers (2017–2019)Daniel Anglés‐Alcázar · University of Connecticut3 papers (2021–2023)Jonathan Stern · New York University2 papers (2021–2022)Bryan A. Terrazas · Columbia University2 papers (2021–2023)Jorge Moreno · California Institute of Technology2 papers (2022–2023)Robert Feldmann · California Institute of Technology2 papers (2021–2022) · 2 papers (2021–2023)Cameron Hummels · University of Arizona2 papers (2019–2021)J. Mercedes-Feliz · University of Connecticut1 papers (2023–2023)Robyn E. Sanderson · Columbia University1 papers (2022–2022) · 1 papers (2019–2019)Lina Necib · Massachusetts Institute of Technology1 papers (2022–2022)
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