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

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

The Astronomical Journal, Volume 150, Issue 6, article id. 173, 23 pp. (2015).

Fecha de publicación:
12
2015
Número de autores
20
Número de autores del IAC
3
Número de citas
344
Número de citas referidas
331
Descripción
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.
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