GNN for Deep Full Event Interpretation and Hierarchical Reconstruction of Heavy-Hadron Decays in Proton-Proton Collisions.

García Pardiñas J, Calvi M, Eschle J, Mauri A, Meloni S, Mozzanica M, Serra N

DOI: 10.1007/s41781-023-00107-8
Published: 2023
Container: Computing and software for big science
Publisher: Not recorded
Open access: yes

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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 = {García Pardiñas J and Calvi M and Eschle J and Mauri A and Meloni S and Mozzanica M and Serra N},
  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  - García Pardiñas J
AU  - Calvi M
AU  - Eschle J
AU  - Mauri A
AU  - Meloni S
AU  - Mozzanica M
AU  - Serra N
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

J, G. P., M, C., J, E., A, M., S, M., M, M., & N, S. (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

pubmed · retrieved 2026-09-25T21:02:11.415Z