An all-sky 3D dust map Based on Gaia and LAMOST
Abstract
We present a comprehensive 3D dust reddening map covering the entire Milky Way, constructed by combining reddening estimates based on LAMOST low-resolution spectra (E(BV)) with those derived from XP spectra (E(BV)), along with revised distances. E(BV) values of 4.6 million unique sources were obtained with the standard-pair analysis using LAMOST DR11 stellar parameters and synthesized -band photometry from XP spectra, showing a typical precision of 0.01 mag. The E(BV) from the catalog of \citet{zhang2023}, which was derived using forward modeling of XP spectra, were cross-validated with E(BV), leading to the selection of 150 million high-reliability measurements. The combined dataset achieves a median precision of 0.03 mag for E(BV). To model the reddening -- distance relationship along various lines-of-sight, we implemented a parametric approach that accounts for contributions from the local bubble, diffuse interstellar-medium, and multiple potential molecular clouds. The sky was adaptively partitioned based on stellar density, resulting in angular resolutions ranging from 3.4 to 58, with about half of the sky having a resolution better than 6.9. The reddening precision of our 3D map for individual stars reaches 0.01 mag in most regions at , but degrades to 0.01-0.05 mag at . The map reaches a maximum distance of 3-5 kpc in high-extinction regions with , and extends to 10-15 kpc elsewhere. An interactive platform and Python package have been developed for utilization of the 3D dust map. Available online: https://nadc.china-vo.org/data/dustmaps/.
Keywords
Cite
@article{arxiv.2509.07640,
title = {An all-sky 3D dust map Based on Gaia and LAMOST},
author = {Tao Wang and Haibo Yuan and Bingqiu Chen and Maosheng Xiang and Ruoyi Zhang and Bowen Huang and Hongrui Gu and Shuaicong Wang and Jiawei Li},
journal= {arXiv preprint arXiv:2509.07640},
year = {2025}
}
Comments
25 pages, 20 figures, 3 tables, published in The Astrophysical Journal Supplement Series (ApJS)