Code for Smart Source Detection Framework for Lobster Eye Telescopes (Docker Version)
Pengjia
This is the docker version of a source detection algorithm for data obtained by the lobster eye telescope. The algorithm is an updated version of the source detection algorithm proposed in Jia et.al. 2023. In this version, three neural networks are used, two for source detection and one for confidence regression. The neural network could adaptively process data with different SNR.
Files
EP-WXT-Standard-Field.csv
11.40 kB
epdet_V2.tar
29.70 GB
Detailed Usage Instructions.pdf
94.71 kB
Paper Information
Paper Title:
Smart Source Detection Framework for Lobster Eye Telescopes
Publication:
The Astrophysical Journal Supplement Series (ApJS)
Identifiers
CSTR:
11379.11.101635
DOI:
10.12149/101635
VO Identifier:
ivo://China-VO/paperdata/101635
Publication Date:
2025-09-17
Usage Statistics
Total Downloads
108
Citations
Pengjia et al. 2025. Code for Smart Source Detection Framework for Lobster Eye Telescopes (Docker Version). Version 1.0. https://doi.org/10.12149/101635
@misc{10.12149/101635,
doi = {10.12149/101635},
url = {https://doi.org/10.12149/101635},
author = {Pengjia},
title = {Code for Smart Source Detection Framework for Lobster Eye Telescopes (Docker Version)},
version = {1.0},
publisher = {Nataional Astronomical Data Center of China},
year= {2025}
}
doi = {10.12149/101635},
url = {https://doi.org/10.12149/101635},
author = {Pengjia},
title = {Code for Smart Source Detection Framework for Lobster Eye Telescopes (Docker Version)},
version = {1.0},
publisher = {Nataional Astronomical Data Center of China},
year= {2025}
}
Versions
Main
This DOI represents all versions, and will always resolve to the latest one.
2025-09-17