南京大学学报（自然科学版）2023，Vol.59Issue(6)：1085-1096,12.DOI:10.13232/j.cnki.jnju.2023.06.018
系外行星大气光谱探测虚拟仿真实验系统
A virtual simulation experiment system for exoplanet atmospheric spectral detection
摘要
Abstract
Exoplanet atmospheric spectroscopic detection is a crucial method for studying and determining the atmospheric composition of exoplanets,as well as addressing fundamental questions such as the existence of a second"Earth".However,this detection requires highly precise equipment,including large space telescopes,which current resources and environments in domestic universities cannot accommodate for students'practical observation needs during their studies.To enhance teaching effectiveness and improve students'understanding and cognition of astronomical observations and exoplanet atmospheric spectroscopic detection,we have employed virtual simulation technology to integrate theory and observation practice closely.The experiment encompasses three stages:planetary atmospheric spectroscopic features,observations of planetary atmospheric transmission spectra,and spectral data analysis.It covers essential knowledge related to spectroscopy and data processing,such as planetary reflection and transmission spectra,atmospheric absorption principles,estimation of observation windows,and signal-to-noise ratio estimation.The implementation of the first phase of the experiment has elevated students'knowledge of astronomical observations,fostered their innovative spirit and practical skills,and yielded significant teaching outcomes.Furthermore.it aligns with the developmental direction of astronomical observation experiment techniques and has been recognized as a top-tier simulation course by national authorities.关键词
行星大气/光谱探测/虚拟仿真系统/天文观测/实验技术Key words
planetary atmosphere/spectroscopic detection/virtual simulation system/astronomical observation/experimental techniques分类
天文与地球科学引用本文复制引用
何秋会,陈安东,王牧天,张必成,王婉好,陈亮,彭志欣,刘慧根..系外行星大气光谱探测虚拟仿真实验系统[J].南京大学学报（自然科学版）,2023,59(6):1085-1096,12.基金项目
国家自然科学基金(11973028),国家双一流经费/天文学,江苏省高校实验室研究会2022年研究课题(GS2022YB18) （11973028）
