发表机构
Universidade Federal de Santa Catarina; Universidad Nacional de Córdoba; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET); Universidad de Valparaíso; Universidad Andres Bello; Vatican Observatory（圣卡塔琳娜联邦大学; 科尔多瓦国立大学; 国家科学研究委员会; 瓦尔帕莱索大学; 安德斯·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
本研究基于VVV巡天数据，通过交叉匹配多源星表与SED分析，在银道面识别出446个红外过量源，其中171个具候选周期性变异性，构建了岩屑盘候选体星表及可复现的大规模应用方法。
AI 中文摘要
主序星周围的岩屑盘为行星形成与演化提供了重要线索，但在星际消光严重、源密集的银道面中，识别这类系统仍具挑战性。VISTA银河变量巡天（VVV）是一项深场大天区巡天项目，提供多时域红外观测，支持在这类环境中开展系统搜寻。我们提出一种构建主序星候选体样本的方法，通过交叉匹配盖亚DR3、GLIMPSE、DECaPS与VIRAC2的数据，利用光谱能量分布（SED）分析识别红外过量，并分析时域数据以检测可能与星周物质或其他天文现象相关的变异性。尽管红外过量通常与岩屑盘相关，但不能排除未分辨双星或视线方向污染的贡献。将该方法应用于VVV的d077天区，使用VIRAC2星表分析879556个初始源，通过VO SED分析仪（VOSA）的过量检测算法识别出446个具有红外过量的源，其中171个在VIRAC2的Ks波段光变曲线中显示候选周期性变异性。我们进一步使用理论模型进行SED拟合，以推导这些源的物理参数与近似光谱型。本研究提供了一份受高消光影响的银场红外过量候选体星表，以及一种可复现的方法，适用于未来的大规模应用。
英文摘要
Debris disks around main-sequence stars provide important insights into planetary formation and evolution; however, identifying these systems in the Galactic plane, where high interstellar extinction and source crowding are significant, remains challenging. Deep, wide-area surveys such as the VISTA Variables in the Via Lactea (VVV) ESO Public Survey provide multi-epoch infrared observations, enabling systematic searches in these environments. We present a method to construct a refined sample of main-sequence candidates by cross-matching data from Gaia DR3, GLIMPSE, DECaPS, and VIRAC2, to identify infrared excesses through spectral energy distribution (SED) analysis, and to analyse time-series data to detect variability potentially associated with circumstellar material or other astrophysical phenomena. Although infrared excess is commonly associated with debris disks, contributions from unresolved binaries or line-of-sight contamination cannot be excluded. Applying this methodology to the VVV tile d077 using the VIRAC2 catalogue, we analyse an initial sample of 879,556 sources and identify 446 sources flagged by the VO SED Analyser (VOSA) excess-detection algorithm as having infrared excess, of which 171 show candidate periodic variability in the VIRAC2 Ks-band light curves. We further perform SED fitting using theoretical models to derive physical parameters and approximate spectral types for these sources. This work provides a catalogue of infrared-excess candidates in a Galactic field affected by high extinction, along with a reproducible method suitable for future large-scale applications.
Comments10 pages, 7 figures, 2 tables. Published in MNRAS
Journal refMon. Not. R. Astron. Soc. 550, 1, stag1128 (2026)
