Uncertainty Quantification and Propagation for ACORN, a geometric deep learning tracking pipeline for HEP experiments
Year: 2025
Type: preprint
Abstract: International audience
Source: arXiv (Cornell University)
Institution: École Normale Supérieure - PSL
Language: English
Subfield: Nuclear and High Energy Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4415314129
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