activity
20032026
most citedThe Seventh Data Release of the Sloan Digital Sky Survey

5.4k citations · 21.3k across the 159 of their papers we have counts for

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Showing 2022Show all

8 papers · 1 filter

astro-ph.GA2022★ 104 cited

: Probing the Milky Way and Magellanic Clouds potentials with the 6-D map of the Orphan-Chenab stream

Sergey E. Koposov, Denis Erkal, Ting S. Li +11

We present a 6-D map of the Orphan-Chenab (OC) stream by combining the data from Southern Stellar Stream Spectroscopic Survey () and {\it Gaia}. We reconstruct the proper moti…

astro-ph.GA2022★ 9 cited

Spectroscopic follow-up of statistically selected extremely metal-poor star candidates from GALAH DR3

G. S. Da Costa, M. S. Bessell, Thomas Nordlander +5

The advent of large-scale stellar spectroscopic surveys naturally leads to the implementation of machine learning techniques to isolate, for example, small sub-samples of potential…

astro-ph.GA2022★ 42 cited

Streams on FIRE: Populations of Detectable Stellar Streams in the Milky Way and FIRE

Nora Shipp, Nondh Panithanpaisal, Lina Necib +18

We present the first detailed study comparing the populations of stellar streams in cosmological simulations to observed Milky Way dwarf galaxy streams. In particular, we compare s…

astro-ph.GA2022★ 65 cited

The effect of the deforming dark matter haloes of the Milky Way and the Large Magellanic Cloud on the Orphan-Chenab stream

Sophia Lilleengen, Michael S. Petersen, Denis Erkal +13

It has recently been shown that the Large Magellanic Cloud (LMC) has a substantial effect on the Milky Way's stellar halo and stellar streams. Here, we explore how deformations of…

astro-ph.GA2022★ 13 cited

The Pristine Inner Galaxy Survey (PIGS) IV: A photometric metallicity analysis of the Sagittarius dwarf spheroidal galaxy

Sara Vitali, Anke Arentsen, Else Starkenburg +15

We present a comprehensive metallicity analysis of the Sagittarius dwarf spheroidal galaxy (Sgr dSph) using photometry. We base our member selection on EDR3…

astro-ph.GA2022

The GALAH Survey: A New Sample of Extremely Metal-Poor Stars Using A Machine Learning Classification Algorithm

Arvind C. N. Hughes, Lee R. Spitler, Daniel B. Zucker +21

Extremely Metal-Poor (EMP) stars provide a valuable probe of early chemical enrichment in the Milky Way. Here we leverage a large sample of high-resolution stellar sp…