3D dust reddening map of the Milky Way
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本数据集是一个全天的3D尘埃消光图,覆盖整个银河系,通过结合基于LAMOST低分辨率光谱的消光估计(E(B−V)LAMOST)和从Gaia XP光谱得出的消光估计(E(B−V)XP),以及修订后的Gaia距离。使用LAMOST DR11恒星参数和Gaia XP光谱的合成B/V波段光度,获得了约4.6百万个独特来源的E(B−V)LAMOST值,显示出约0.01mag的典型精度。从Zhang et al.(2023a)的目录中获得的E(B−V)XP,通过使用Gaia XP光谱的前向建模得出,与E(B−V)LAMOST进行了交叉验证,选择了约1.5亿个高可靠性测量值。合并后的数据集在E(B−V)方面实现了约0.03mag的中位精度。为了模拟沿不同视线的消光-距离关系,我们实现了一种参数化方法,该方法考虑了来自局部气泡、弥散星际介质和多个潜在分子云的贡献。天空根据恒星密度自适应地划分,导致角分辨率从3.4′到58′不等,约有一半的天空具有6.9′以上的分辨率。我们的3D图对于个别恒星的消光精度在大多数地区达到约0.01mag,但在|b|<20◦时下降到0.01-0.05mag。在高消光区域(|b|<5◦),地图的最大距离达到3-5kpc,在其他地方扩展到10-15kpc。为了利用3D尘埃图,开发了一个交互式平台和Python包。
This dataset is an all-sky 3D dust extinction map covering the entire Milky Way, constructed by combining extinction estimates based on LAMOST low-resolution spectra (E(B−V)LAMOST), extinction estimates derived from Gaia XP spectra (E(B−V)XP), and the revised Gaia distances. Using LAMOST DR11 stellar parameters and synthetic B/V-band photometry from Gaia XP spectra, we obtained E(B−V)LAMOST values for approximately 4.6 million unique sources, with a typical precision of ~0.01 mag. The E(B−V)XP values, derived via forward modeling of Gaia XP spectra and obtained from the catalog of Zhang et al. (2023a), were cross-validated against E(B−V)LAMOST, resulting in a selection of ~150 million high-reliability measurements. The merged dataset achieves a median precision of ~0.03 mag for E(B−V). To model the extinction-distance relationship along different lines of sight, we implemented a parametric method that accounts for contributions from the Local Bubble, diffuse interstellar medium, and multiple potential molecular clouds. The sky is adaptively partitioned based on stellar density, leading to an angular resolution ranging from 3.4′ to 58′, with approximately half of the sky having a resolution better than 6.9′. The extinction precision of our 3D map for individual stars reaches ~0.01 mag in most regions, but degrades to 0.01–0.05 mag when |b| < 20°. In high-extinction regions (|b| < 5°), the maximum distance covered by the map reaches 3–5 kpc, and extends to 10–15 kpc elsewhere. To facilitate the use of this 3D dust map, an interactive platform and a Python package have been developed.

- 1通过北京师范大学 · 2025年



