English

The Data Reduction Pipeline for the Apache Point Observatory Galactic Evolution Experiment

Instrumentation and Methods for Astrophysics 2015-11-11 v2 Astrophysics of Galaxies

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 microns) 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 S/N (>100 per half-resolution element) spectra provide accurate (~0.1 km/s) radial velocities, 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 degree diameter field and the combination of spectrally dithered spectra. We also discuss areas for future improvement.

Keywords

Cite

@article{arxiv.1501.03742,
  title  = {The Data Reduction Pipeline for the Apache Point Observatory Galactic Evolution Experiment},
  author = {David L. Nidever and Jon A. Holtzman and Carlos Allende Prieto and Stephane Beland and Chad Bender and Dmitry Bizyaev and Adam Burton and Rohit Desphande and Scott W. Fleming and Ana Elia Garcia Perez and Fred R. Hearty and Steven R. Majewski and Szabolcs Meszaros and Demitri Muna and Duy Nguyen and Ricardo P. Schiavon and Matthew Shetrone and Michael F. Skrutskie and Jennifer S. Sobeck and John C. Wilson},
  journal= {arXiv preprint arXiv:1501.03742},
  year   = {2015}
}

Comments

22 pages, 26 figures. Accepted for publication in AJ

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