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Lowest Common Ancestor Generations (LCAG) Phasespace Particle Decay Reconstruction Dataset

Kahn, James ORCID iD icon 1; Taubert, Oskar ORCID iD icon 1; Tsaklidis, Ilias; Reuter, Lea; Dujany, Giulio; Boeckh, Tobias; Thaller, Arthur; Goldenzweig, Pablo; Bernlochner, Florian; Streit, Achim ORCID iD icon 1; Götz, Markus 1
1 Scientific Computing Center (SCC), Karlsruher Institut für Technologie (KIT)

Abstract:

This record contains the corresponding dataset for the paper Learning Tree Structures from Leaves For Particle Decay Reconstruction. The dataset contains the resulting simulated particle physics decays, with information about the detected particle (leaves) to be used as input, and Lowest Common Ancestor Generations (LCAGs) to be used as training targets. The code used for the paper's experiments, which contains the PyTorch dataset/dataloader, can be found at: github.com/Helmholtz-AI-Energy/BaumBauen.


Originalveröffentlichung
DOI: 10.5281/zenodo.6983258
Zugehörige Institution(en) am KIT Scientific Computing Center (SCC)
Publikationstyp Forschungsdaten
Publikationsdatum 11.08.2022
Identifikator KITopen-ID: 1000153956
HGF-Programm 46.21.04 (POF IV, LK 01) HAICU
Projektinformation HAICORE (HGF, HGF IVF2016 STRATZUK, ZT-I-PF-6-1)
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