interaction_network_paper 源码
通过边缘分类交互网络进行带电粒子跟踪 回购组织 graph_construction / build_heptrkx_classic.py:HEP.TrkX构造算法,用于在像素桶层中构建图形,示例用法: python build_heptrkx_classic.py configs/heptrkx_classic.py build_heptrkx_plus.py:修改了HEP.TrkX构造算法,以在像素桶+端盖层中构建图形,示例用法: python build_heptrkx_plus.py configs/heptrkx_plus.py build_dbgraphs.py:DBScan聚类算法用于通过在eta-phi空间中进行聚类来构建图,示例用法: python build_dbgraphs.py configs/dbgraphs.py 楷模/ interact_network.p
文件列表
interaction_network_paper-main.zip
(预估有个19文件)
interaction_network_paper-main
README.md
1KB
graph_construction
build_dbgraphs.py
17KB
configs
heptrkx_classic.yaml
316B
dbgraphs.yaml
417B
heptrkx_plus.yaml
394B
build_heptrkx_classic.py
11KB
measurements
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