Divergence Decision Trees Used for D0 FNAL Particle Signal Separations

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F13%3A00210441" target="_blank" >RIV/68407700:21340/13:00210441 - isvavai.cz</a>
Result on the web
<a href="http://www.ssds.sk" target="_blank" >http://www.ssds.sk</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Divergence Decision Trees Used for D0 FNAL Particle Signal Separations
Original language description
We deal with the new statistical classification method called Divergence Decision Tree (DDT), which links together the basic k-means classification and statistical phi-divergence measures as a decision criterion. K-means as a part of the DDT has severaldisadvantages, therefore other simple methods, e.g. fuzzy classifier, can be incorporated. Several versions of the DDT algorithm differing in the type of phi-divergences used are tested on data sets coming from single top quark decay channels measured within D0 experiment at Tevatron accelerator in FNAL.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Project
<a href="/en/project/LG12020" target="_blank" >LG12020: Advanced statistical analysis and non-statistical separation techniques for physical processing detection in data sets sampled by means of elementary particle accelerators.</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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