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20222025
most citedJ-PLUS: Support Vector Regression to Measure Stellar Parameters

12 citations · 24 across the 8 of their papers we have counts for

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astro-ph.IM2024

A comprehensive correction of the Gaia DR3 XP spectra

Bowen Huang, Haibo Yuan, Maosheng Xiang +7

By combining spectra from the CALSPEC and NGSL, as well as spectroscopic data from the LAMOST Data Release 7 (DR7), we have analyzed and corrected the systematic errors of the Gaia…

astro-ph.IM2023★ 1 cited

S-PLUS: Photometric Re-calibration with the Stellar Color Regression Method and an Improved Gaia XP Synthetic Photometry Method

Kai Xiao, Yang Huang, Haibo Yuan +11

We present a comprehensive re-calibration of medium- and broad-band photometry from the Southern Photometric Local Universe Survey (S-PLUS) by leveraging two approaches: an improve…

astro-ph.IM2023

Improvement of the Pan-STARRS Photometric Calibration with LAMOST and Gaia

Kai Xiao, Haibo Yuan, Bowen Huang +3

In this work, we perform the re-calibration of PS1 photometry by correcting for position-dependent systematic errors using the spectroscopy-based Stellar Color Regression method (S…

astro-ph.IM2022

Photometric calibration methods for wide-field photometric surveys

Bowen Huang, Kai Xiao, Haibo Yuan

Uniform and accurate photometric calibration plays an important role in the current and next-generation wide-field imaging surveys. Herein, we review the modern photometric calibra…

astro-ph.IM2022★ 12 cited

J-PLUS: Support Vector Regression to Measure Stellar Parameters

Cunshi Wang, Yu Bai, Haibo Yuan +17

Context. Stellar parameters are among the most important characteristics in studies of stars, which are based on atmosphere models in traditional methods. However, time cost and br…