标题： 利用未来中国空间站望远镜(CSST)搜寻渐近巨星分支星的双星特性 显示英文标题

标题： Search for binarity in Asymptotic Giant Branch stars utilizing the future Chinese Space Station Telescope (CSST)

摘要： 渐近巨星分支（AGB）阶段的双星系统被广泛认为是解释行星状星云观测到的不对称形态的主要理论框架。然而，由于演化主星的亮度和变异性过于强烈，主导了光度和光谱特征，因此探测AGB系统中的伴星变得极为困难。紫外（UV）过量辐射已被提出作为AGB系统中存在伴星的一个候选诊断指标。本文评估了中国空间站望远镜（CSST）探测AGB恒星UV过量辐射的能力，利用其前所未有的紫外灵敏度和宽视场巡天能力。我们使用M0-M8型巨星作为主星的合成光谱库，并采用ATLAS 9大气模型网格来模拟温度范围从6500 K到12000 K的伴星。通过将这些模型光谱与CSST多波段滤光片系统卷积，计算了颜色-颜色图（g-y与NUV-u），以构建诊断网格。该网格包含了星际消光修正，并通过观测测光数据与理论预测之间的直接比较，建立了一种识别AGB双星候选者的框架。此外，我们还讨论了AGB恒星中UV过量辐射的物理起源。本研究开创性地利用CSST独特的多波段紫外-可见光协同作用，构建颜色-颜色图，用于识别双星候选者，克服了非同时多仪器观测的局限性。 显示英文摘要

摘要： Binary systems in the Asymptotic Giant Branch (AGB) phase are widely recognized as a leading theoretical framework underpinning the observed asymmetric morphologies of planetary nebulae. However, the detection of binary companions in AGB systems is severely hampered by the overwhelming brightness and variability of the evolved primary star, which dominate the photo-metric and spectroscopic signatures. Ultraviolet (UV) excess emission has been proposed as a candidate diagnostic for the presence of binary companions in AGB systems. This paper evaluates the Chinese Space Station Telescope's (CSST) ability to detect UV excess emission in AGB stars, leveraging its unprecedented UV sensitivity and wide-field survey capabilities. We employed synthetic spectral libraries of M0-M8 type giants for primary stars and the ATLAS 9 atmospheric model grid for companion stars spanning a temperature range of 6500 K to 12000 K. By convolving these model spectra with the CSST multi-band filter system, we computed color-color diagrams (g-y versus NUV-u) to construct a diagnostic grid. This grid incorporates interstellar extinction corrections and establishes a framework for identifying AGB binary candidates through direct comparison between observed photometry and theoretical predictions. Furthermore, we discuss the physical origins of UV excess in AGB stars. This study pioneers a diagnostic framework leveraging CSST's unique multi-band UV-visible synergy to construct color-color grids for binary candidate identification, overcoming limitations of non-simultaneous multi-instrument observations.