Correction factors of the measurement errors of the LAMOST-LRS stellar parameters
Shuhui Zhang, Guozhen Hu, Rongrong Liu, Cuiyun Pan, Lu Li, Zhengyi, Shao

TL;DR
This study assesses and corrects the measurement errors of stellar parameters in the LAMOST-LRS DR7 survey, revealing systematic misestimations and providing correction factors to improve data reliability.
Contribution
It introduces a self-calibration method to quantify and correct error misestimations in stellar parameters, accounting for spectral types and SNR variations.
Findings
Error of [{eta}/M] is largely underestimated.
Radial velocity errors are slightly overestimated.
Corrected errors show stronger correlation with SNR and spectral types.
Abstract
We aim to investigate the propriety of stellar parameter errors of the official data release of the LAMOST low-resolution spectroscopy (LRS) survey. We diagnose the errors of radial velocity (RV), atmospheric parameters ([Fe/H], T eff , log g) and {\alpha}-enhancement ([{\alpha}/M]) for the latest data release version of DR7, including 6,079,235 effective spectra of 4,546,803 stars. Based on the duplicate observational sample and comparing the deviation of multiple measurements to their given errors, we find that, in general, the error of [{\alpha}/M] is largely underestimated, and the error of radial velocity is slightly overestimated. We define a correction factor k to quantify these misestimations and correct the errors to be expressed as proper internal uncertainties. Using this self-calibration technique, we find that the k-factors significantly vary with the stellar spectral types…
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Taxonomy
TopicsCalibration and Measurement Techniques · Astronomical Observations and Instrumentation · Astronomy and Astrophysical Research
