1 Ocak 2010 Dergi makalesi Açık Erişim

Sikler, Ferenc

Dublin Core

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  <dc:creator>Sikler, Ferenc</dc:creator>
  <dc:date>2010-01-01</dc:date>
  <dc:description>Primary vertex finding for collider experiments is studied with the aim to detect all primary interactions. The efficiency and precision of finding interaction vertices can be improved by advanced clustering and classification methods, such as agglomerative clustering with fast pairwise nearest neighbor search, followed by Gaussian mixture model or k-means clustering. The results have been obtained with simplified simulation and Gaussian smearing, but insights on sensitivity to backgrounds are also given. (C) 2010 Elsevier B.V. All rights reserved.</dc:description>
  <dc:identifier>https://aperta.ulakbim.gov.trrecord/25197</dc:identifier>
  <dc:identifier>oai:zenodo.org:25197</dc:identifier>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>http://www.opendefinition.org/licenses/cc-by</dc:rights>
  <dc:source>NUCLEAR INSTRUMENTS &amp; METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT 621(1-3) 526-533</dc:source>
  <dc:title>Study of clustering methods to improve primary vertex finding for collider detectors</dc:title>
  <dc:type>info:eu-repo/semantics/article</dc:type>
  <dc:type>publication-article</dc:type>
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