Searching for metastable particles using graph computing

Abstract 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 invi...

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Autor principal:	Ashutosh V. Kotwal
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/43a7d863a1674299b8b73822d343412c
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spelling	oai:doaj.org-article:43a7d863a1674299b8b73822d343412c2021-12-02T15:31:36ZSearching for metastable particles using graph computing10.1038/s41598-021-97848-62045-2322https://doaj.org/article/43a7d863a1674299b8b73822d343412c2021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-97848-6https://doaj.org/toc/2045-2322Abstract 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.Ashutosh V. KotwalNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Ashutosh V. Kotwal Searching for metastable particles using graph computing
description	Abstract 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.
format	article
author	Ashutosh V. Kotwal
author_facet	Ashutosh V. Kotwal
author_sort	Ashutosh V. Kotwal
title	Searching for metastable particles using graph computing
title_short	Searching for metastable particles using graph computing
title_full	Searching for metastable particles using graph computing
title_fullStr	Searching for metastable particles using graph computing
title_full_unstemmed	Searching for metastable particles using graph computing
title_sort	searching for metastable particles using graph computing
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/43a7d863a1674299b8b73822d343412c
work_keys_str_mv	AT ashutoshvkotwal searchingformetastableparticlesusinggraphcomputing
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Searching for metastable particles using graph computing

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