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20192026
most citedThe Eighteenth Data Release of the Sloan Digital Sky Surveys: Targeting and First Spectra from SDSS-V

282 citations · 363 across the 25 of their papers we have counts for

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Showing 2026Show all

8 papers · 1 filter

astro-ph.GA2026

The Open Cluster Chemical Abundances and Mapping Survey XI. First Gradients from SDSS/MWM BOSS Determined Clusters

Jonah M. Otto, Peter M. Frinchaboy, John Donor +13

The Milky Way Mapper program in the fifth generation of the Sloan Digital Sky Survey (SDSS-V/MWM) has observed millions of stars, thousands of them in open clusters. The Open Clust…

astro-ph.GA2026

The Twentieth Data Release of the Sloan Digital Sky Survey: First All-Sky BOSS Spectra, eROSITA-SDSS-V Mapper Coordinated Observations, and a Preview of the Local Volume Mapper

SDSS Collaboration, Mojgan Aghakhanloo, David Aguilar +273

This paper presents the twentieth data release (DR20) from the Sloan Digital Sky Survey, the third data release of its fifth generation (SDSS-V). SDSS-V is a panoptic spectroscopy…

astro-ph.SR2026

A Test of FeH Line Parameters using DR19 APOGEE spectra of Benchmark M Dwarfs

Anderson Silva-Andrade, Diogo Souto, Katia Cunha +9

Recent studies have suggested a mismatch of up to 0.20 dex between iron abundances derived from Fe I and FeH lines in the H-band spectra of M dwarfs, and in this work we investigat…

astro-ph.SR2026

A Probabilistic Framework for Population Studies of the Solar Neighborhood: Application to SDSS-V and Gaia

Ilija Medan, Keivan G. Stassun, Zachary Way +8

Studies of the Solar Neighborhood require spectroscopic follow-up of stars identified in astrometric surveys to fully characterize their physical properties. The SDSS-V Solar Neigh…

astro-ph.SR2026

BOSS-CLAM: Utilizing a Constrained Linear Absorption Model to Infer Stellar Parameters from BOSS Spectra

Ilija Medan, Andrew R. Casey, Alexander P. Ji +13

Large spectroscopic surveys require robust pipelines capable of inferring stellar parameters over a wide range of the Hertzsprung-Russell (HR) diagram from data of varying quality.…

astro-ph.SR2026

Probabilistic neural network approach to determining parameters of eclipsing binaries

Marina Kounkel, Logan Sizemore, Hidemi Mitani Shen +7

Eclipsing binaries provide one of the most direct mechanisms for measuring stellar properties such as mass and radius, but historically, determining these properties has been non-t…

astro-ph.SR2026

21,864 Unresolved, Low-mass Binaries Identified via their Overluminosity in \textit{Gaia} DR3 and a Catalog of 347,440 Systems within 100 pc of the Sun

Zachary Way, Sébastien Lépine, Jonathan Gagné +1

The fundamental parameters of a low-mass star can potentially be determined from its photometry and astrometry. This is complicated by the fact that 10-20 percent of low-mass stars…

astro-ph.GA2026

Variations in the Milky Way's Stellar Mass Function at [Fe/H] < -1

Jiadong Li, Hans-Walter Rix, Yuan-Sen Ting +14

We present the first determination of the Galactic stellar mass function (MF) for low-mass stars (0.2-0.5 M_sun) at metallicities [Fe/H] < -1. A sample of ~53,000 stars was selecte…