GNN for Deep Full Event Interpretation and Hierarchical Reconstruction of Heavy-Hadron Decays in Proton–Proton Collisions
- DOI
- 10.1007/s41781-023-00107-8
- Published
- 2023-11-17
- Container
- Computing and Software for Big Science
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s41781-023-00107-8,
title = {GNN for Deep Full Event Interpretation and Hierarchical Reconstruction of Heavy-Hadron Decays in Proton–Proton Collisions},
author = {Julián García Pardiñas and Marta Calvi and Jonas Eschle and Andrea Mauri and Simone Meloni and Martina Mozzanica and Nicola Serra},
year = {2023},
journal = {Computing and Software for Big Science},
doi = {10.1007/s41781-023-00107-8},
url = {https://doi.org/10.1007/s41781-023-00107-8}
}RIS
TY - JOUR TI - GNN for Deep Full Event Interpretation and Hierarchical Reconstruction of Heavy-Hadron Decays in Proton–Proton Collisions AU - Julián García Pardiñas AU - Marta Calvi AU - Jonas Eschle AU - Andrea Mauri AU - Simone Meloni AU - Martina Mozzanica AU - Nicola Serra PY - 2023 JO - Computing and Software for Big Science DO - 10.1007/s41781-023-00107-8 UR - https://doi.org/10.1007/s41781-023-00107-8 ER -
APA
Pardiñas, J. G., Calvi, M., Eschle, J., Mauri, A., Meloni, S., Mozzanica, M., & Serra, N. (2023). GNN for Deep Full Event Interpretation and Hierarchical Reconstruction of Heavy-Hadron Decays in Proton–Proton Collisions. Computing and Software for Big Science. https://doi.org/10.1007/s41781-023-00107-8
Source records
- crossref · retrieved 2026-11-10T12:52:47.361Z