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Neural Network Based Search for Higgs Boson Produced via VBF with $H \rightarrow W^+W^- \rightarrow l^+ l^- \sla{p_{T}}$ for $115<M_H<130~\gev$

The sensitivity to a low mass Higgs produced via Vector Boson Fusion is investigated. The complicated signature of $H \rightarrow W^+W^- \rightarrow l^+l^-\sla{p_{T}}$ motivates the use of multivariate analysis techniques. A neural network has been trained to discriminate between signal and backgrou...

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Detalles Bibliográficos
Autores principales: Cranmer, K, McNamara, P, Mellado, B, Pan, Y, Quayle, W, Wu Sau Lan
Lenguaje:eng
Publicado: 2002
Materias:
Acceso en línea:http://cds.cern.ch/record/685444
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author Cranmer, K
McNamara, P
Mellado, B
Pan, Y
Quayle, W
Wu Sau Lan
author_facet Cranmer, K
McNamara, P
Mellado, B
Pan, Y
Quayle, W
Wu Sau Lan
author_sort Cranmer, K
collection CERN
description The sensitivity to a low mass Higgs produced via Vector Boson Fusion is investigated. The complicated signature of $H \rightarrow W^+W^- \rightarrow l^+l^-\sla{p_{T}}$ motivates the use of multivariate analysis techniques. A neural network has been trained to discriminate between signal and background in the Higgs mass range $115<M_H<130~\gev$. The improvement of the significance from the cut-based analysis ranges from 20-35\%. By including likelihood ratio techniques in the sensitivity calculation, an additional 15\% improvement is obtained.
id cern-685444
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2002
record_format invenio
spelling cern-6854442019-09-30T06:29:59Zhttp://cds.cern.ch/record/685444engCranmer, KMcNamara, PMellado, BPan, YQuayle, WWu Sau LanNeural Network Based Search for Higgs Boson Produced via VBF with $H \rightarrow W^+W^- \rightarrow l^+ l^- \sla{p_{T}}$ for $115<M_H<130~\gev$Detectors and Experimental TechniquesThe sensitivity to a low mass Higgs produced via Vector Boson Fusion is investigated. The complicated signature of $H \rightarrow W^+W^- \rightarrow l^+l^-\sla{p_{T}}$ motivates the use of multivariate analysis techniques. A neural network has been trained to discriminate between signal and background in the Higgs mass range $115<M_H<130~\gev$. The improvement of the significance from the cut-based analysis ranges from 20-35\%. By including likelihood ratio techniques in the sensitivity calculation, an additional 15\% improvement is obtained.ATL-PHYS-2003-007oai:cds.cern.ch:6854442002-12-11
spellingShingle Detectors and Experimental Techniques
Cranmer, K
McNamara, P
Mellado, B
Pan, Y
Quayle, W
Wu Sau Lan
Neural Network Based Search for Higgs Boson Produced via VBF with $H \rightarrow W^+W^- \rightarrow l^+ l^- \sla{p_{T}}$ for $115<M_H<130~\gev$
title Neural Network Based Search for Higgs Boson Produced via VBF with $H \rightarrow W^+W^- \rightarrow l^+ l^- \sla{p_{T}}$ for $115<M_H<130~\gev$
title_full Neural Network Based Search for Higgs Boson Produced via VBF with $H \rightarrow W^+W^- \rightarrow l^+ l^- \sla{p_{T}}$ for $115<M_H<130~\gev$
title_fullStr Neural Network Based Search for Higgs Boson Produced via VBF with $H \rightarrow W^+W^- \rightarrow l^+ l^- \sla{p_{T}}$ for $115<M_H<130~\gev$
title_full_unstemmed Neural Network Based Search for Higgs Boson Produced via VBF with $H \rightarrow W^+W^- \rightarrow l^+ l^- \sla{p_{T}}$ for $115<M_H<130~\gev$
title_short Neural Network Based Search for Higgs Boson Produced via VBF with $H \rightarrow W^+W^- \rightarrow l^+ l^- \sla{p_{T}}$ for $115<M_H<130~\gev$
title_sort neural network based search for higgs boson produced via vbf with $h \rightarrow w^+w^- \rightarrow l^+ l^- \sla{p_{t}}$ for $115<m_h<130~\gev$
topic Detectors and Experimental Techniques
url http://cds.cern.ch/record/685444
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