发表机构
Universidade Federal de Santa Catarina; Instituto Federal Catarinense; Universidad de Valparaíso; Universidad Andres Bello; Vatican Observatory（圣卡塔琳娜联邦大学; 圣卡塔琳娜联邦学院; 瓦尔帕莱索大学; 安德烈斯贝略大学; 梵蒂冈天文台）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
该研究利用VVVX、DECaPS和GLIMPSE多波段数据，通过交叉匹配和SED分析，在船帆-船底区域构建了含1,512个中红外过量源的均匀星表，补充了YSO候选体的识别方法。
AI 中文摘要
银河系中平面的多波段巡天能够识别红外过量源，这些源是星周物质的特征标志，但高消光和拥挤效应阻碍了探测。我们在船帆-船底区域约7.0平方度的天区内构建了一个均匀的红外过量候选体星表，并通过光谱能量分布（SED）分析表征其过量辐射。我们利用层级位置交叉匹配，综合了来自DECaPS的光学测光、来自VVVX的近红外测光以及来自Spitzer/GLIMPSE的中红外测光。候选体通过测光质量和中红外颜色诊断进行筛选，并使用VOSA结合理论大气模型网格对其SED进行分析。我们采用了光度几何距离，同时Gaia DR3和NEOWISE的变率数据提供了补充诊断。从匹配后的249,719个源的VVVX-GLIMPSE-DECaPS星表中，我们识别出1,512个中红外过量天体，其中191个具有信噪比>10的完整12波段测光数据，从而能够进行详细的SED分析。对于几乎整个样本，光度几何距离与几何距离在统计上保持一致。SED分析独立地支持了大多数源的中红外过量性质，表明其存在超出恒星光球的辐射。约15%的源被Gaia标记为变源，而NEOWISE光变曲线揭示了约十分之几星等量级的中红外变率。与已发表的年轻恒星天体（YSO）和变率选择星表的比较显示重叠有限，尤其是与变率选择样本的重叠，这表明中红外过量选择方法补充了其他识别船帆-船底区域YSO候选体的途径。所得星表提供了一个定义明确的中红外过量样本，具有均匀的多波段测光、SED表征、距离和变率诊断，为未来的光谱和时域研究奠定了基础。
英文摘要
Multiwavelength surveys of the Galactic midplane enable the identification of infrared-excess sources, signatures of circumstellar material, though high extinction and crowding hinder detection. We construct a homogeneous catalog of infrared-excess candidates in a $\sim$7.0 deg$^2$ field of the Vela-Carina region, characterizing their excess emission via spectral energy distribution (SED) analysis. We combine optical photometry from DECaPS, near-infrared photometry from VVVX, and mid-infrared photometry from Spitzer/GLIMPSE using hierarchical positional cross-matching. Candidates are selected via photometric quality and MIR color diagnostics, and their SEDs are analyzed with VOSA using theoretical atmosphere model grids. Photogeometric distances are adopted, while Gaia DR3 and NEOWISE variability provide complementary diagnostics. From the matched 249,719-source VVVX-GLIMPSE-DECaPS catalog, we identify 1,512 MIR-excess objects, of which 191 have complete 12-band photometry with S/N > 10, enabling detailed SED analysis. Photogeometric distances are statistically consistent with geometric distances for nearly the entire sample. SED analysis independently supports the MIR-excess nature of most sources, indicating emission beyond stellar photospheres. About 15% of sources are flagged variable by Gaia, while NEOWISE light curves reveal MIR variability of a few tenths of a magnitude. Comparisons with published YSO and variability-selected catalogs show limited overlap, particularly with variability-selected samples, indicating that MIR-excess selection complements other approaches to identifying candidate YSOs in the Vela-Carina region. The resulting catalog provides a well-defined MIR-excess sample with homogeneous multiband photometry, SED characterization, distances, and variability diagnostics, forming a foundation for future spectroscopic and time-domain studies.
Comments24 pages (incl. appendix table), 7 figures. Accepted for publication in New Astronomy
DOI：10.1016/j.newast.2026.102654
