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26 April 2024 |
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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 Elia Garcia Perez
; Fred R. Hearty
; Steven R. Majewski
; Szabolcs Meszaros
; Demitri Muna
; Duy Nguyen
; Ricardo P. Schiavon
; Matthew Shetrone
; Michael F. Skrutskie
; John C. Wilson
; | | Date: |
15 Jan 2015 | | 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 100,000 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 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. | | Source: | arXiv, 1501.3742 | | Services: | Forum | Review | PDF | Favorites | |
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