About: Model based clustering method as a new multivariate technique in high energy physics

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Analysis of the experimental data has one of the most important roles in High Energy Physics. Commonly used multivariate techniques as Boosted Decision Trees or Bayesian Neural Networks are based on learning algorithms using Monte Carlo generated samples. We implemented a new Model Based Clustering (MBC) method using Bayesian statistics and modified iterative EM algorithm for weighted data that have never been applied in this area. This greatly promising method was developed especially for the data collected from the D0 experiment, which was one of two large particle physics experiments at the pp- Tevatron collider at Fermilab. We optimized and tested proposed method in the single top search using a data sample of 9.7fb-1 of integrated luminosity, which corresponds to the entire Run II D0 dataset. Analysis of the experimental data has one of the most important roles in High Energy Physics. Commonly used multivariate techniques as Boosted Decision Trees or Bayesian Neural Networks are based on learning algorithms using Monte Carlo generated samples. We implemented a new Model Based Clustering (MBC) method using Bayesian statistics and modified iterative EM algorithm for weighted data that have never been applied in this area. This greatly promising method was developed especially for the data collected from the D0 experiment, which was one of two large particle physics experiments at the pp- Tevatron collider at Fermilab. We optimized and tested proposed method in the single top search using a data sample of 9.7fb-1 of integrated luminosity, which corresponds to the entire Run II D0 dataset. (en)
Title	Model based clustering method as a new multivariate technique in high energy physics Model based clustering method as a new multivariate technique in high energy physics (en)
skos:prefLabel	Model based clustering method as a new multivariate technique in high energy physics Model based clustering method as a new multivariate technique in high energy physics (en)
skos:notation	RIV/68407700:21340/14:00210540!RIV15-MSM-21340___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(LG12020), S
http://linked.open...iv/cisloPeriodika	1
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Štěpánek, Michal Kůs, Václav Franc, Jiří
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta jaderná a fyzikálně inženýrská
http://linked.open...dnocenehoVysledku	29696
http://linked.open...ai/riv/idVysledku	RIV/68407700:21340/14:00210540
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Large data analysis; Soft computing; Model based clustering; Bayes rule; Top Quark (en)
http://linked.open.../riv/klicoveSlovo	Bayes rule Large data analysis Model based clustering Top Quark Soft computing
http://linked.open...odStatuVydavatele	GB - Spojené království Velké Británie a Severního Irska
http://linked.open...ontrolniKodProRIV	[B3FC6B9DA1E0]
http://linked.open...i/riv/nazevZdroje	Journal of Physics: Conference Series
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Advanced statistical analysis and non-statistical separation techniques for physical processing detection in data sets sampled by means of elementary particle accelerators.
http://linked.open...UplatneniVysledku	2014
http://linked.open...v/svazekPeriodika	490
http://linked.open...iv/tvurceVysledku	Kůs, Václav Franc, Jiří Štěpánek, Michal
http://linked.open...ain/vavai/riv/wos	000335909300223
issn	1742-6588
number of pages	5 (xsd:int)
http://bibframe.org/vocab/doi	10.1088/1742-6596/490/1/012225
http://localhost/t...ganizacniJednotka	21340

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