S. Blunt
Astronomy and Astrophysics · 2018–2021
A researcher in the Science corpus: 4 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Astronomy and Astrophysics — 100 citations into it
- Artificial Intelligence — 8 citations into it
- Statistics and Probability — 6 citations into it
Whom S. Blunt trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- P. Hopkins
- G. Nelemans
- Pavel Kroupa
- Michele Vallisneri
- M. Powell
- Andrew Wetzel
- J. Hurley
- Volker Springel
- Jason T. Wright
- Jonathan R Goodman
Papers from S. Blunt's perspective
Ordered by how strongly the researchers S. Blunt trusts endorse each paper. Same corpus, a different order for every researcher.
- On the variation of the initial mass function
- Matplotlib: A 2D Graphics Environment
- Galaxies on FIRE (Feedback In Realistic Environments): stellar feedback explains cosmologically inefficient star formation
- RECONCILING DWARF GALAXIES WITH ΛCDM COSMOLOGY: SIMULATING A REALISTIC POPULATION OF SATELLITES AROUND A MILKY WAY–MASS GALAXY
- A new synthetic model for asymptotic giant branch stars
- Nucleosynthesis yields of core-collapse supernovae and hypernovae, and galactic chemical evolution
- The gravitational wave signal from the Galactic disk population of binaries containing two compact objects.
- A new class of accurate, mesh-free hydrodynamic simulation methods
- Not so lumpy after all: modelling the depletion of dark matter subhaloes by Milky Way-like galaxies
- Simulations of the formation, evolution and clustering of galaxies and quasars (Nature)
Their papers
- California Legacy Survey. II. Occurrence of Giant Planets beyond the Ice Line (2021) — 171 citations
- The California Legacy Survey. I. A Catalog of 178 Planets from Precision Radial Velocity Monitoring of 719 Nearby Stars over Three Decades (2021) — 232 citations
- Predicting the LISA white dwarf binary population in the Milky Way with cosmological simulations (2019) — 136 citations
- RadVel: The Radial Velocity Modeling Toolkit (2018) — 345 citations