LAMOST DR9_v1.0 is released to the dometic users in April of 2022. It consistes of two components: the low-resolution part and the medium-resolution part. We make analyses of the parameters for low-resolution and medium-resolution data respectively, which are described in the following.
The atmospherical parameter distribution of DR9_v1.0 is shown as follows. Metallicity bins are represented by different colors.
The following diagrams show the distributions of errors of atmospherical parameters (Teff, logg, [Fe/H]) as well as rv in different SNR of r band (snr)) bins. These parameters are estimated by LASP.
The following figures show the comparisons of atmospherical parameters (Teff, logg, [Fe/H]) as well as rv between DR9_v1.0 low-resolution data and SDSS DR17. The mean values and the standard deviations of the differences are also plotted in the figures. For the parameters of logg, a branch is seen in the top-right panel. It could be explained by the inhomogeneous distribution of the atmospherical parameters in the ELODIE library. There are holes for giants in the ELODIE library, making the estimations of the initial guess for atmospherical parameters in the giant holes inaccurate.
The following figures show the distributions of error of atmospherical parameters (Teff, logg, [Fe/H]) and rv for the combined spectra. There are four values of rv that are estimated by different methods. The errors of parameters are divided into four groups according to the snr, presented by different colors.
A comparison of atmospherical parameters (Teff, logg, [Fe/H], and [α/M]), rv and vsini determined by LASP and ASPCAP are shown in the following figures. We also plot the mean values and the standard deviations of the differences of the parameters in the figures.
A comparison of atmospherical parameters (Teff, logg, [Fe/H] and [α/M]) determined by LASP and GALAH DR3 are shown in the following figures. We also plot the mean values and the standard deviations of the differences of the parameters in the figures.
We also provide another set of atmospherical parameters including Teff, logg, [M/H] and [α/M], which is estimated by the convolutional neural network (CNN) method. The Teff vs. logg diagram and [M/H] vs. [α/M] diagram for the combined spectra of DR9_v1.0 are shown in the following figure.
A comparison of atmospherical parameters (Teff, logg, [Fe/H] and [α/M]) determined by CNN and GALAH DR3 are shown in the following figures. We also plot the mean values and the standard deviations of the differences of the parameters in the figures.