Application of the generalized linear models in the signal discrimination in high energy physics
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F14%3A00223094" target="_blank" >RIV/68407700:21340/14:00223094 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Application of the generalized linear models in the signal discrimination in high energy physics
Original language description
The application of multivariate analysis techniques in experimental high energy physics have been accepted as a one of the fundamental tools in the discrimination phase, when signal is rare and background dominates. The purpose of this study is to present different approaches of the variable selection and discrimination together with the validation techniques used in High Energy Physiscs. We applied the Generalized Linear Models in the real data analysis and compare it with familiar methods from ROOT TMVA package. The progress of the separation in the measurement of the inclusive top pair production cross section on D0 Tevatron full RunII (9.7fb-1) will be presented and possibilities of discrimination improvement will be discussed.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
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>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of Stochastic and Physical Monitoring Systems 2014
ISBN
978-80-01-05616-5
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
37-42
Publisher name
ČVUT v Praze
Place of publication
Praha
Event location
Malá Skála
Event date
Jun 23, 2014
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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