Searching for metastable particles using graph computing.

Journal Article (Journal Article)

The reconstruction of charged particle trajectories at the Large Hadron Collider and future colliders relies on energy depositions in sensors placed at distances ranging from a centimeter to a meter from the colliding beams. We propose a method of detecting charged particles that decay invisibly after traversing a short distance of about 25 cm inside the experimental apparatus. One of the decay products may constitute the dark matter known to be 84% of all matter at galactic and cosmological distance scales. Our method uses graph computing to cluster spacepoints recorded by two-dimensional silicon pixel sensors into mathematically-defined patterns. The algorithm may be implemented on silicon-based integrated circuits using field-programmable gate array technology to augment or replace traditional computing platforms.

Full Text

Duke Authors

Cited Authors

  • Kotwal, AV

Published Date

  • September 2021

Published In

Volume / Issue

  • 11 / 1

Start / End Page

  • 18543 -

PubMed ID

  • 34535717

Pubmed Central ID

  • PMC8448856

Electronic International Standard Serial Number (EISSN)

  • 2045-2322

International Standard Serial Number (ISSN)

  • 2045-2322

Digital Object Identifier (DOI)

  • 10.1038/s41598-021-97848-6

Language

  • eng