Correction factors of the measurement errors of the LAMOST-LRS stellar parameters
arXiv:2212.02018 · doi:10.1088/1674-4527/aca649
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 α-enhancement ([α/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 [α/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 and the spectral signal-to-noise ratio (SNR). Particularly, we reveal a strange but evident trend between k-factors and error themselves for all five stellar parameters. Larger errors tend to have smaller k-factor values, i.e., they were more overestimated. After the correction, we recreate and quantify the tight correlations between SNR and errors, for all five parameters, while these correlations have dependence on spectral types. It also suggests that the parameter errors from each spectrum should be corrected individually. Finally, we provide the error correction factors of each derived parameter of each spectrum for the entire LAMOST-LRS DR7.
17 pages, 9 figures, 4 Tables, Accepted for publication in Research in Astronomy and Astrophysics (RAA)
References in corpus (7)
- A grid of MARCS model atmospheres for late-type stars I. Methods and general properties
- The LAMOST Stellar Parameter Pipeline at Peking University --- LSP3
- LAMOST Spectroscopic Survey of the Galactic Anti-centre (LSS-GAC): target selection and the first release of value-added catalogues
- Estimating stellar atmospheric parameters, absolute magnitudes and elemental abundances from the LAMOST spectra with Kernel-based Principal Component Analysis
- Survey of Surveys I: The largest catalogue of radial velocities for the Galaxy
- Prospects for Measuring Abundances of >20 Elements with Low-resolution Stellar Spectra
- The value-added catalogue for LAMOST DR8 low-resolution spectra