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19942026
most citedThe Seventh Data Release of the Sloan Digital Sky Survey

5.4k citations · 64.6k across the 531 of their papers we have counts for

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Showing 2018Show all

31 papers · 1 filter

astro-ph.SR2018★ 94 cited

A homogeneous analysis of globular clusters from the APOGEE survey with the BACCHUS code. I. The Northern clusters

T. Masseron, D. A. García-Hernández, Sz. Mészáros +12

We analyze a large sample of 885 GCs giants from the APOGEE survey. We used the Cannon results to separate the red giant branch and the asymptotic giant branch stars, not only allo…

astro-ph.GA2018★ 34 cited

APOGEE [C/N] Abundances Across the Galaxy: Migration and Infall from Red Giant Ages

Sten Hasselquist, Jon A. Holtzman, Matthew Shetrone +14

We present [C/N]-[Fe/H] abundance trends from the SDSS-IV Apache Point Observatory Galactic Evolution Experiment (APOGEE) survey, Data Release 14 (DR14), for red giant branch stars…

astro-ph.IM2018★ 356 cited

The Fifteenth Data Release of the Sloan Digital Sky Surveys: First Release of MaNGA Derived Quantities, Data Visualization Tools and Stellar Library

D. S. Aguado, Romina Ahumada, Andres Almeida +230

Twenty years have passed since first light for the Sloan Digital Sky Survey (SDSS). Here, we release data taken by the fourth phase of SDSS (SDSS-IV) across its first three years o…

astro-ph.IM2018★ 128 cited

SDSS-IV MaStar -- A Large and Comprehensive Empirical Stellar Spectral Library: First Release

Renbin Yan, Yanping Chen, Daniel Lazarz +45

We present the first release of the MaNGA Stellar Library (MaStar), which is a large, well-calibrated, high-quality empirical library covering the wavelength range of 3,622-10,354A…

astro-ph.SR2018★ 36 cited

The R-Process Alliance: Spectroscopic Follow-up of Low-Metallicity Star Candidates from the Best & Brightest Survey

Vinicius M. Placco, Rafael M. Santucci, Timothy C. Beers +17

We present results from an observing campaign to identify low-metallicity stars in the Best & Brightest Survey. From medium-resolution (R ~ 1, 200 - 2, 000) spectroscopy of 857 can…

astro-ph.SR2018★ 61 cited

J-PLUS: Identification of low-metallicity stars with artificial neural networks using SPHINX

D. D. Whitten, V. M. Placco, T. C. Beers +24

We present a new methodology for the estimation of stellar atmospheric parameters from narrow- and intermediate-band photometry of the Javalambre Photometric Local Universe Survey…