Automated Classification of Variables and Milky Way Evolution

变量自动分类和银河系演化

• 批准号: 1961389
• 金额: --
• 依托单位: University of Edinburgh
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-1961389
• 关键词: Automated; Classification; Variables; Milky; Way

My project is the analysis of the VISTA Science Archive, in particular the results of the VVV survey, to identify the variable stars present in the sample. The resulting detection will involve a probability of the detected object belonging to specific categories of variable star. The method for detection and analysis will involve variability indices created by (Lopes et al.) and Spectral Energy Distribution (SED) fitting as part of an automated data analysis pipeline (potentially involving machine learning aspects to improve the quality of the identification process) to both detect variable behaviour and assign probabilities for each possible type of variable star that could fit the detected object.The first step of the project is researching all possible types of variable stars and identify photometric or spectroscopic characteristics that could be used to distinguish between the different types.The second step of the project will involve developing the analysis methods. This includes filtering the VVV database to remove any issues in the data and preparing it for analysis in the pipeline. Variability indices are then used to pick out the varying stars from the observed objects.The third step uses SED fitting, photometric analysis (detecting the amplitude of light curve variations) and other methods such as colour and metallicity to pin down the stars position on the HR diagram. More detail will be added later as the project proceeds.

我的项目是分析VISTA科学档案，特别是VVV调查的结果，以确定样本中存在的变星。所得到的探测将涉及探测到的物体属于特定类别的变星星星的概率。检测和分析方法将涉及由（Lopes等人）创建的变异性指数。和光谱能量分布（SED）拟合作为自动数据分析管道的一部分（可能涉及机器学习方面，以提高识别过程的质量）该项目的第一步是研究所有可能的星星类型，并确定光度或光谱该项目的第二步将涉及开发分析方法。这包括过滤VVV数据库以删除数据中的任何问题，并准备在管道中进行分析。第三步是利用SED拟合、光度分析（检测光变曲线变化的幅度）和其他方法（如颜色和金属丰度）确定恒星在HR图上的位置。随着项目的进行，稍后将添加更多细节。