EP-WXT探路者LEIA观测的X射线源的机器学习分类数据集
Xiaoxiong Zuo
该数据集包含了X射线源通过特征提取计算后得到的特征，以及对应的每个源的类型作为标签。其中包含LEIA的数据特征和EP模拟数据的数据特征。特征包括能谱特征、光变曲线特征以及银经、银纬。数据详情可见论文。
文件
EP Simulation data.csv
12.80 MB
LEIA data.csv
1.19 MB
total_data.csv
6.24 MB
论文信息
论文标题:
X-ray Sources Classification Using Machine Learning: A Study with EP-WXT Pathfinder LEIA
发表期刊:
Research in Astronomy and Astrophysics
标识符
CSTR:
11379.11.101460
DOI:
10.12149/101460
VO Identifier:
ivo://China-VO/paperdata/101460
发布时间:
2024-07-12
使用统计
总下载量
394
引用
Xiaoxiong Zuo et al. 2024. Machine Learning Classification Dataset for X-ray Sources Observed by the EP-WXT Pathfinder LEIA. 版本 1.0. https://doi.org/10.12149/101460
@misc{10.12149/101460,
doi = {10.12149/101460},
url = {https://doi.org/10.12149/101460},
author = {Xiaoxiong Zuo},
title = {Machine Learning Classification Dataset for X-ray Sources Observed by the EP-WXT Pathfinder LEIA},
version = {1.0},
publisher = {Nataional Astronomical Data Center of China},
year= {2024}
}
doi = {10.12149/101460},
url = {https://doi.org/10.12149/101460},
author = {Xiaoxiong Zuo},
title = {Machine Learning Classification Dataset for X-ray Sources Observed by the EP-WXT Pathfinder LEIA},
version = {1.0},
publisher = {Nataional Astronomical Data Center of China},
year= {2024}
}
版本