3 citations · 5 across the 5 of their papers we have counts for
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astro-ph.GA2025★ 1 cited
Scalable Stellar Parameter Inference Using Python-based LASP: From CPU Optimization to GPU Acceleration
Jun-Chao Liang, Yin-Bi Li, A-Li Luo +13
To enhance the efficiency, scalability, and cross-survey applicability of stellar parameter inference in large spectroscopic datasets, we present a modular, parallelized Python fra…
astro-ph.GA2024
Characterizing Stellar and Gas Properties in NGC 628: Spatial Distributions, Radial Gradients, and Resolved Scaling Relations
Peng Wei, Hu Zou, Jing Wang +8
Building on our previous research of multi-wavelength data from UV to IR, we employ spectroscopic observations of ionized gas, as well as neutral hydrogen gas obtained from the Fiv…
astro-ph.GA2024★ 3 cited
Measuring the Diffuse Interstellar Bands at 5780, 5797, and 6614 Å in Low-Resolution Spectra of Cool Stars from LAMOST
Xiao-Xiao Ma, Jian-Jun Chen, A-Li Luo +7
We attempt to measure the DIBs 5780, 5797 and 6614 in over two million low-resolution spectra of cool stars from LAMOST. Based on the DIB measurements, the correlation bet…