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From the 1 of 4 linked papers with an AI index.

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4 papers

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

The paper describes the twentieth data release (DR20) of the Sloan Digital Sky Survey, providing over 3 million new optical spectra from the SDSS‑V Milky Way, Black Hole, and Local…

astro-ph.SR2026

Payne4GAIN: NLTE Corrections for Red Giants in Milky Way Mapper using H-Band Neural Network Emulators

Pierre Thibodeaux, Alexander P. Ji, Nicholas Storm +12

The majority of spectroscopic surveys assume local thermodynamic equilibrium (LTE) during the modeling of stellar spectra. This assumption begins to break down for luminous stars,…

astro-ph.SR2026

A nearly pristine star from the Large Magellanic Cloud

Alexander P. Ji, Vedant Chandra, Selenna Mejias-Torres +28

The first stars formed out of pristine gas, causing them to be so massive that none are expected to have survived until today. If their direct descendants were sufficiently low-mas…

astro-ph.GA2025

The Nineteenth Data Release of the Sloan Digital Sky Survey

SDSS Collaboration, Gautham Adamane Pallathadka, Mojgan Aghakhanloo +209

Mapping the local and distant Universe is key to our understanding of it. For decades, the Sloan Digital Sky Survey (SDSS) has made a concerted effort to map millions of celestial…