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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...
Autores principales: | , , , , , |
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Lenguaje: | eng |
Publicado: |
2002
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Acceso en línea: | http://cds.cern.ch/record/685444 |
_version_ | 1780901510111035392 |
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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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