Published catalogue

A chemical portrait of a million giants.

Stellar parameters and elemental abundances from low-resolution LAMOST DR8 spectra, opening a window onto the chemical history of the Milky Way.

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METHOD Neural-network inferenceCONTEXT LAMOST DR8PUBLICATION 2022

The question

What can a spectrum tell us?

Large spectroscopic surveys carry chemical information about stellar populations. This work estimates stellar parameters and elemental abundances from 1.2 million low-resolution spectra, representing about one million distinct giants and subgiants.

The approach

From spectra to stellar labels.

A convolutional neural network learns from LAMOST DR8 spectra paired with stellar parameters and abundances from APOGEE DR17. It carries that label scale to a much larger sample of giants; the paper assesses the precision and limitations of the inferred labels.

The resource

A catalogue for Galactic archaeology.

The value-added catalogue supports studies of stellar populations and the chemical evolution of the Milky Way. The LAMOST data release provides the catalogue entry and associated documentation.

PAPER & RESOURCES

The Stellar Parameters and Elemental Abundances from Low-Resolution Spectra — I. 1.2 Million Giants from LAMOST DR8