YSOs from LAMOST DR9 using deep learning

Subsequently, we developed a YSO identification model, which achieved a recall rate of 95.81% for YSOs. Utilizing this model, we further identified 35,021 YSO candidates from the H{alpha} emission-line candidates. Following cross validation, 3204 samples were identified as previously reported YSO candidates.

We eliminated samples with low signal-to-noise ratios and M dwarfs by using the equivalent widths of the NII and HeI emission lines and visual inspection, resulting in a catalog of 20,530 YSO candidates. To facilitate future research endeavors, we provide the obtained catalogs of H{alpha} emission-line star candidates and YSO candidates along with the code used for training the model.