activity
20162026
most citedFIRE-3: Updated Stellar Evolution Models, Yields, & Microphysics and Fitting Functions for Applications in Galaxy Simulations

139 citations · 1.1k across the 69 of their papers we have counts for

collaborators
Showing 2019Show all

7 papers · 1 filter

astro-ph.GA2019★ 39 cited

Chasing Accreted Structures within Gaia DR2 using Deep Learning

Lina Necib, Bryan Ostdiek, Mariangela Lisanti +3

In previous work, we developed a deep neural network classifier that only relies on phase-space information to obtain a catalog of accreted stars based on the second data release o…

astro-ph.GA2019

Evidence for a Vast Prograde Stellar Stream in the Solar Vicinity

Lina Necib, Bryan Ostdiek, Mariangela Lisanti +6

Massive dwarf galaxies that merge with the Milky Way on prograde orbits can be dragged into the disk plane before being completely disrupted. Such mergers can contribute to an accr…

astro-ph.GA2019★ 25 cited

Cataloging Accreted Stars within Gaia DR2 using Deep Learning

Bryan Ostdiek, Lina Necib, Timothy Cohen +6

The goal of this study is to present the development of a machine learning based approach that utilizes phase space alone to separate the Gaia DR2 stars into two categories: those…

astro-ph.IM2019★ 37 cited

The Detailed Science Case for the Maunakea Spectroscopic Explorer, 2019 edition

The MSE Science Team, Carine Babusiaux, Maria Bergemann +258

(Abridged) The Maunakea Spectroscopic Explorer (MSE) is an end-to-end science platform for the design, execution and scientific exploitation of spectroscopic surveys. It will unvei…

astro-ph.CO2019★ 3 cited

Astrophysical Tests of Dark Matter with Maunakea Spectroscopic Explorer

Ting S. Li, Manoj Kaplinghat, Keith Bechtol +27

We discuss how astrophysical observations with the Maunakea Spectroscopic Explorer (MSE), a high-multiplexity (about 4300 fibers), wide field-of-view (1.5 square degree), large tel…

astro-ph.CO2019★ 3 cited

Dark Matter Science in the Era of LSST

Keith Bechtol, Alex Drlica-Wagner, Kevork N. Abazajian +177

Astrophysical observations currently provide the only robust, empirical measurements of dark matter. In the coming decade, astrophysical observations will guide other experimental…

astro-ph.CO2019★ 31 cited

Probing the Fundamental Nature of Dark Matter with the Large Synoptic Survey Telescope

Alex Drlica-Wagner, Yao-Yuan Mao, Susmita Adhikari +97

Astrophysical and cosmological observations currently provide the only robust, empirical measurements of dark matter. Future observations with Large Synoptic Survey Telescope (LSST…