Using Graph Neural Networks for Track Classification and Time Determination of Primary Vertices in the ATLAS Experiment

Using Graph Neural Networks for Track Classification and Time Determination of Primary Vertices in the ATLAS Experiment

Starting in 2027, the high-luminosity Large Hadron Collider (HL-LHC) will begin operation and allow higher-precision measurements and searches for new physics processes between elementary particles. One central problem that arises in the ATLAS detector when reconstructing event information is to sep...

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Bibliographic Details
Main Authors: Gullstrand, Mattias, Maraš, Stefan
Format: Others
Language:English
Published: KTH, Matematisk statistik 2020
Subjects:
Time determination
graph neural network
graph attentional network
HGTD
vertex
node classification
particle physics
machine learning
Tidsbestämning
neurala grafnätverk
uppvaktande grafnätverk
nodklassificering
partikelfysik
statistisk inlärning
Probability Theory and Statistics
Sannolikhetsteori och statistik
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-288505

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-288505

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