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Title: Multivariate Search of the Standard Model Higgs Boson at LHC

Abstract

resent an attempt to identify the SM Higgs boson at LHC in the channel (pp-bar {yields} HX {yields} W+ W-X {yields} l+ vl- v X). We use a multivariate processing of data as a tool for a better discrimination between signal and background (via Principal Components Analysis, Genetic Algorithms and Neural Network). Events were produced at LHC energies (MH = 140 - 200 GeV), using the Lund Monte Carlo generator PYTHIA 6.1. Higgs boson events (pp-bar {yields} HX {yields} W+W-X {yields} l+ vl- v X) and the most relevant background are considered.

Authors:
 [1]
  1. Ecole Royale de l'Air, Maths and Systems Department, 40000 Marrakech (Morocco)
Publication Date:
OSTI Identifier:
20900815
Resource Type:
Journal Article
Resource Relation:
Journal Name: AIP Conference Proceedings; Journal Volume: 881; Journal Issue: 1; Conference: CICHEP II: Cairo international conference on high energy physics, Cairo (Egypt), 14-17 Jan 2006; Other Information: DOI: 10.1063/1.2435300; (c) 2007 American Institute of Physics; Country of input: International Atomic Energy Agency (IAEA)
Country of Publication:
United States
Language:
English
Subject:
72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; ALGORITHMS; CERN LHC; GEV RANGE 100-1000; HIGGS BOSONS; MONTE CARLO METHOD; MULTIVARIATE ANALYSIS; NEURAL NETWORKS; PROTON-ANTIPROTON INTERACTIONS; STANDARD MODEL; W MINUS BOSONS; W PLUS BOSONS

Citation Formats

Mjahed, Mostafa. Multivariate Search of the Standard Model Higgs Boson at LHC. United States: N. p., 2007. Web. doi:10.1063/1.2435300.
Mjahed, Mostafa. Multivariate Search of the Standard Model Higgs Boson at LHC. United States. doi:10.1063/1.2435300.
Mjahed, Mostafa. Fri . "Multivariate Search of the Standard Model Higgs Boson at LHC". United States. doi:10.1063/1.2435300.
@article{osti_20900815,
title = {Multivariate Search of the Standard Model Higgs Boson at LHC},
author = {Mjahed, Mostafa},
abstractNote = {resent an attempt to identify the SM Higgs boson at LHC in the channel (pp-bar {yields} HX {yields} W+ W-X {yields} l+ vl- v X). We use a multivariate processing of data as a tool for a better discrimination between signal and background (via Principal Components Analysis, Genetic Algorithms and Neural Network). Events were produced at LHC energies (MH = 140 - 200 GeV), using the Lund Monte Carlo generator PYTHIA 6.1. Higgs boson events (pp-bar {yields} HX {yields} W+W-X {yields} l+ vl- v X) and the most relevant background are considered.},
doi = {10.1063/1.2435300},
journal = {AIP Conference Proceedings},
number = 1,
volume = 881,
place = {United States},
year = {Fri Jan 12 00:00:00 EST 2007},
month = {Fri Jan 12 00:00:00 EST 2007}
}