THE DATA REDUCTION PIPELINE for the APACHE POINT OBSERVATORY GALACTIC EVOLUTION EXPERIMENT

David L. Nidever, Jon A. Holtzman, Carlos Allende Prieto, Stephane Beland, Chad Bender, Dmitry Bizyaev, Adam Burton, Rohit Desphande, Scott W. Fleming, Ana E. García Pérez, Fred R. Hearty, Steven R. Majewski, Szabolcs Mé Száros, Demitri Muna, Duy Nguyen, Ricardo P. Schiavon, Matthew Shetrone, Michael F. Skrutskie, Jennifer S. Sobeck, John C. Wilson

Research output: Contribution to journalArticlepeer-review

135 Scopus citations

Abstract

The Apache Point Observatory Galactic Evolution Experiment (APOGEE), part of the Sloan Digital Sky Survey III, explores the stellar populations of the Milky Way using the Sloan 2.5-m telescope linked to a high resolution (R ∼ 22,500), near-infrared (1.51-1.70 μm) spectrograph with 300 optical fibers. For over 150,000 predominantly red giant branch stars that APOGEE targeted across the Galactic bulge, disks and halo, the collected high signal-to-noise ratio (>100 per half-resolution element) spectra provide accurate (∼0.1 km s-1) RVs, stellar atmospheric parameters, and precise (≲0.1 dex) chemical abundances for about 15 chemical species. Here we describe the basic APOGEE data reduction software that reduces multiple 3D raw data cubes into calibrated, well-sampled, combined 1D spectra, as implemented for the SDSS-III/APOGEE data releases (DR10, DR11 and DR12). The processing of the near-IR spectral data of APOGEE presents some challenges for reduction, including automated sky subtraction and telluric correction over a 3°-diameter field and the combination of spectrally dithered spectra. We also discuss areas for future improvement.

Original languageEnglish (US)
Article number173
JournalAstronomical Journal
Volume150
Issue number6
DOIs
StatePublished - Dec 1 2015

All Science Journal Classification (ASJC) codes

  • Astronomy and Astrophysics
  • Space and Planetary Science

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