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Mass reconstruction with a neural network

Lönnblad, L. LU orcid ; Peterson, C. LU and Rögnvaldsson, T. (1992) In Physics Letters B 278(1-2). p.181-186
Abstract

A feed-forward neural network method is developed for reconstructing the invariant mass of hadronic jets appearing in a calorimeter. The approach is illustrated in W→qq, where W-bosons are produced in pp reactions at SPS collider energies. The neural network method yields results that are superior to conventional methods. This neural network application differs from the classification ones in the sense that an analog number (the mass) is computed by the network, rather than a binary decision being made. As a by-product our application clearly demonstrates the need for using "intelligent" variables in instances when the amount of training instances is limited.

Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Physics Letters B
volume
278
issue
1-2
pages
6 pages
publisher
Elsevier
external identifiers
  • scopus:1342344350
ISSN
0370-2693
DOI
10.1016/0370-2693(92)90731-I
language
English
LU publication?
yes
id
fa21e643-fd58-4af2-a681-41ba7de052a9
date added to LUP
2019-05-14 16:06:15
date last changed
2024-01-01 04:35:34
@article{fa21e643-fd58-4af2-a681-41ba7de052a9,
  abstract     = {{<p>A feed-forward neural network method is developed for reconstructing the invariant mass of hadronic jets appearing in a calorimeter. The approach is illustrated in W→qq, where W-bosons are produced in pp reactions at SPS collider energies. The neural network method yields results that are superior to conventional methods. This neural network application differs from the classification ones in the sense that an analog number (the mass) is computed by the network, rather than a binary decision being made. As a by-product our application clearly demonstrates the need for using "intelligent" variables in instances when the amount of training instances is limited.</p>}},
  author       = {{Lönnblad, L. and Peterson, C. and Rögnvaldsson, T.}},
  issn         = {{0370-2693}},
  language     = {{eng}},
  month        = {{03}},
  number       = {{1-2}},
  pages        = {{181--186}},
  publisher    = {{Elsevier}},
  series       = {{Physics Letters B}},
  title        = {{Mass reconstruction with a neural network}},
  url          = {{http://dx.doi.org/10.1016/0370-2693(92)90731-I}},
  doi          = {{10.1016/0370-2693(92)90731-I}},
  volume       = {{278}},
  year         = {{1992}},
}