海量星系光谱中的超新星候选范围自动约减

超新星是恒星世界中已知道的最剧烈的天文现象之一，但目前发现的超新星数量相比于已探测到的数百亿天体而言又是有限的，所以有必要寻找快速高效的超新星搜寻方法或辅助手段。拟在Ⅰa型超新星统计特征描述的基础上提出了一种海量星系光谱下Ⅰa型超新星候选体选择范围自动约减的方法。该方法首先对Ⅰa型超新星模板PCA分析获得特征谱，并获得每条待检星系光谱的低维超新星特征描述，然后通过引入样本的局部孤立性因子进行离群搜索，最后获得总样本数的1%作为继续搜寻证认超新星候选体选择的初始范围。实验表明该方法有效可行，这一方法在海量光谱中自动去除大量不含超新星的星系光谱，为超新星的进一步搜寻证认和后续观测提供了较可靠的候选范围，从而成为直接利用光谱巡天的海量数据获得超新星的高效途径。

Reducing the Searching Range of Supernova Candidates Automatically in a Flood of Spectra of Galaxies

Supernova(SN)is one of the most intense astronomical phenomena among the known stellar activities,but compared with several billion astronomical objects which people have probed,the number of supernova the authors have observed is very small.Therefore,the authors need to find faster and higher-efficiency approaches to searching supernova.In the present paper,we present a novel automated method,which can be successfully used to reduce the range of searching for la supernova candidates in a huge number of gal...