activity
20132020
most citedNuGrid stellar data set I. Stellar yields from H to Bi for stars with metallicities Z = 0.02 and Z = 0.01

230 citations · 1.4k across the 21 of their papers we have counts for

collaborators
Showing astro-ph.GAShow all

6 papers · 1 filter

astro-ph.GA2017★ 37 cited

SYGMA: Stellar Yields for Galactic Modeling Applications

Christian Ritter, Benoit Côté, Falk Herwig +2

The stellar yields for galactic modeling applications (SYGMA) code is an open-source module that models the chemical ejecta and feedback of simple stellar populations (SSPs). It is…

astro-ph.GA2016★ 94 cited

Advanced LIGO Constraints on Neutron Star Mergers and R-Process Sites

Benoit Côté, Krzysztof Belczynski, Chris L. Fryer +4

The role of compact binary mergers as the main production site of r-process elements is investigated by combining stellar abundances of Eu observed in the Milky Way, galactic chemi…

astro-ph.GA2016★ 5 cited

JINA-NuGrid Galactic Chemical Evolution Pipeline

Benoit Côté, Christian Ritter, Falk Herwig +5

Galactic chemical evolution is a topic that involves nuclear physics, stellar evolution, galaxy evolution, observation, and cosmology. Continuous communication and feedback between…

astro-ph.GA2016★ 115 cited

The Impact of Modeling Assumptions in Galactic Chemical Evolution Models

Benoit Côté, Brian W. O'Shea, Christian Ritter +2

We use the OMEGA galactic chemical evolution code to investigate how the assumptions used for the treatment of galactic inflows and outflows impact numerical predictions. The goal…

astro-ph.GA2016★ 33 cited

Mass and Metallicity Requirement in Stellar Models for Galactic Chemical Evolution Applications

Benoit Côté, Christopher West, Alexander Heger +5

We used a one-zone chemical evolution model to address the question of how many masses and metallicities are required in grids of massive stellar models in order to ensure reliable…

astro-ph.GA2015★ 58 cited

Uncertainties in Galactic Chemical Evolution Models

Benoit Côté, Christian Ritter, Brian W. O'Shea +4

We use a simple one-zone galactic chemical evolution model to quantify the uncertainties generated by the input parameters in numerical predictions, for a galaxy with properties si…