Overview of The SDSS-V Magellanic Genesis Survey

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Authors: David Lee Nidever, Danny Horta, Steven R. Majewski, Andrés Almeida, Joshua Povick, Slater Oden, Ó. Jiménez-Arranz, Guy S. Stringfellow, S. Drew Chojnowski, Roeland P. van der Marel, Lara R. Cullinane, Bruno Dias
+5 more Jennifer Johnson, John Donor, Maria-Rosa L. Cioni, Juna A. Kollmeier, Andrew Tkachenko
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Abstract

The Sloan Digital Sky Survey-V (SDSS-V) Magellanic Genesis survey is a spectroscopic program designed to map the kinematic and chemical structure of the Magellanic Clouds using APOGEE and BOSS spectroscopy. This overview describes the survey's design, target selection, and science goals, and highlights some first results using these data. In the inner regions of the Large and Small Magellanic Clouds (LMC and SMC), the survey obtained high-resolution near-infrared APOGEE spectra (S/N~45) of ~14,000 bright, oxygen-rich asymptotic giant branch (AGB-O) stars. These data provide contiguous spatial coverage of the Clouds' main bodies, enabling detailed chemo-dynamical studies. To explore extended structures, the survey includes BOSS optical spectroscopy of fainter red giant (RG) stars selected with \gaia~DR3 data, reaching G~17.5. Many of these targets extend to the outer regions of the Clouds, which are known to span ~20 deg (LMC) and ~12 deg(SMC) and contain diffuse substructures of unclear origin. BOSS data in the inner regions also complement APOGEE by providing elements inaccessible in the near-infrared and enabling cross-calibration between instruments. The survey further includes APOGEE and BOSS observations of ~300 evolved massive stars and a small sample of symbiotic binaries previously observed by APOGEE-1 and -2, enhancing our understanding of massive stellar evolution and complementing the SDSS-V main-sequence massive star program.

Fields of Study & Subjects

Stellar planetary and galactic studies Astronomy and Astrophysical Research Galaxies: Formation Evolution Phenomena

Publication details

Journal / source
arXiv (Cornell University)
Publication date
2 February 2026
Document type
Preprint