On the limitations of statistical absorption studies with the Sloan Digital Sky Surveys I--III
Ting-Wen Lan, Brice M\'enard, Dalya Baron, Sean Johnson, Dovi, Poznanski, J. Xavier Prochaska, and John O'Meara

TL;DR
This paper examines the limitations and systematic errors in SDSS optical spectroscopic data, revealing calibration issues affecting weak absorption line detection and proposing strategies for improvement.
Contribution
It identifies specific calibration artifacts in SDSS spectra caused by data reduction and flux calibration inaccuracies, and suggests methods to mitigate these issues.
Findings
Systematic spectral features of about 1% amplitude due to calibration errors.
Artifacts from masking and interpolation cause artificial Balmer absorption.
Calibration issues can mimic or obscure weak absorption lines in SDSS spectra.
Abstract
We investigate the limitations of statistical absorption measurements with the SDSS optical spectroscopic surveys. We show that changes in the data reduction strategy throughout different data releases have led to a better accuracy at long wavelengths, in particular for sky line subtraction, but a degradation at short wavelengths with the emergence of systematic spectral features with an amplitude of about one percent. We show that these features originate from inaccuracy in the fitting of modeled F-star spectra used for flux calibration. The best-fit models for those stars are found to systematically over-estimate the strength of metal lines and under-estimate that of Lithium. We also identify the existence of artifacts due to masking and interpolation procedures at the wavelengths of the hydrogen Balmer series leading to the existence of artificial Balmer absorption in all…
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