REVIEW 3 cited by
The Data Reduction Pipeline for the Apache Point Observatory Galactic Evolution Experiment
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
read the original 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.
Forward citations
Cited by 3 Pith papers
-
Spectroscopic Binary Detection as Agent-Callable Tools: Detecting 40,000+ Main-Sequence Binary Candidates from SDSS DR19 APOGEE Spectra
The authors apply El-Badry's binary decomposition via agent-callable tools to APOGEE DR19, flagging 41,466 SB2 candidates with about 40% estimated contamination, and measuring no eccentricity excess for close twins.
-
The Twentieth Data Release of the Sloan Digital Sky Survey: First All-Sky BOSS Spectra, eROSITA-SDSS-V Mapper Coordinated Observations, and a Preview of the Local Volume Mapper
DR20 releases over three million BOSS spectra (first southern-hemisphere SDSS-V optical data), 169 LVM integral-field tiles over six targets, and eighteen value-added catalogs.
-
Why Machine Learning Models Systematically Underestimate Extreme Values
Regression with noisy input features shrinks predictions toward the mean by a factor 1 divided by (1 plus the squared ratio of noise to signal spread), and this bias persists regardless of training sample size, label ...
Discussion (0). Continue with ORCID to comment.