Track finding with neural networks
(1989) In Nuclear Instruments & Methods in Physics Research. Section A: Accelerators, Spectrometers, Detectors, and Associated Equipment 279(3). p.537-545- Abstract
A neural network algorithm for finding tracks in high energy physics experiments is presented. The performance of the algorithm is explored on modest size samples with encouraging results. It is inherently parallel and thus suitable for execution on a conventional SIMD architecture. More important, it naturally lends itself to direct implementations in custom made hardware, which would permit real time operations and hence facilitate fast triggers. Both VLSI and optical technology implementations are briefly discussed.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1601b742-1d17-4e79-b411-4d381365086c
- author
- Peterson, Carsten LU
- organization
- publishing date
- 1989-07-15
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Nuclear Instruments & Methods in Physics Research. Section A: Accelerators, Spectrometers, Detectors, and Associated Equipment
- volume
- 279
- issue
- 3
- pages
- 9 pages
- publisher
- Elsevier
- external identifiers
-
- scopus:0024701127
- ISSN
- 0168-9002
- DOI
- 10.1016/0168-9002(89)91300-4
- language
- English
- LU publication?
- yes
- id
- 1601b742-1d17-4e79-b411-4d381365086c
- date added to LUP
- 2019-05-15 07:39:09
- date last changed
- 2024-01-01 04:41:00
@article{1601b742-1d17-4e79-b411-4d381365086c, abstract = {{<p>A neural network algorithm for finding tracks in high energy physics experiments is presented. The performance of the algorithm is explored on modest size samples with encouraging results. It is inherently parallel and thus suitable for execution on a conventional SIMD architecture. More important, it naturally lends itself to direct implementations in custom made hardware, which would permit real time operations and hence facilitate fast triggers. Both VLSI and optical technology implementations are briefly discussed.</p>}}, author = {{Peterson, Carsten}}, issn = {{0168-9002}}, language = {{eng}}, month = {{07}}, number = {{3}}, pages = {{537--545}}, publisher = {{Elsevier}}, series = {{Nuclear Instruments & Methods in Physics Research. Section A: Accelerators, Spectrometers, Detectors, and Associated Equipment}}, title = {{Track finding with neural networks}}, url = {{http://dx.doi.org/10.1016/0168-9002(89)91300-4}}, doi = {{10.1016/0168-9002(89)91300-4}}, volume = {{279}}, year = {{1989}}, }