Machine Learning Classification Dataset for X-ray Sources Observed by the EP-WXT Pathfinder LEIA
Xiaoxiong Zuo
This dataset contains the features obtained from X-ray sources through feature extraction calculations, as well as the corresponding types of each source as labels. This includes the data features of LEIA and EP simulation data. Features include energy spectral features, light curve features, galactic longitude and galactic latitude. Please refer to the paper for details.
Files
EP Simulation data.csv
12.80 MB
LEIA data.csv
1.19 MB
total_data.csv
6.24 MB
Paper Information
Paper Title:
X-ray Sources Classification Using Machine Learning: A Study with EP-WXT Pathfinder LEIA
Publication:
Research in Astronomy and Astrophysics
Identifiers
CSTR:
11379.11.101460
DOI:
10.12149/101460
VO Identifier:
ivo://China-VO/paperdata/101460
Publication Date:
2024-07-12
Citation Guidelines
Xiaoxiong Zuo et al. 2024. Machine Learning Classification Dataset for X-ray Sources Observed by the EP-WXT Pathfinder LEIA. Version 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}
}
Versions
Main
This DOI represents all versions, and will always resolve to the latest one.
2024-07-12