Yan-Pu Yin

GalSpecCNN: Deep Learning Estimates of Fiber Stellar Mass and Specific Star Formation Rate with Uncertainty for LAMOST Galaxies

We present GalSpecCNN, a probabilistic deep-learning framework for estimating fiber-scale stellar mass (M*) and specific star formation rate (sSFR) from LAMOST galaxy spectra. The model uses a one-dimensional convolutional neural network to extract spectral features, followed by a probabilistic regression head that pre...