Difference: PH4100MajorProjectPTD (7 vs. 8)

Revision 810 Nov 2008 - PedroTD

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META TOPICPARENT name="PedroTD"

PH4100 Major Project

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Introduction

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In this project the student will be studying the feasibility of the Higgs search with the ATLAS detector at the Large Hadron Collider (LHC), in a given Higgs search channel or channels.
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In this project the student will be studying the feasibility of the Higgs search with the ATLAS detector at the Large Hadron Collider (LHC), in a given Higgs search channel or channels.
 
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The student is advised to read about the LHC, its physics programme, and past and ongoing searches for the Higgs boson. Select some papers from this list of overview papers.
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The student is advised to read about the LHC, its physics programme, and past and ongoing searches for the Higgs boson. Select some papers from this list of overview papers.
 
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The fractions of signal and background events that will contribute to a particular final state (eg, tt-->bqq blv) should be calculated using this table of Branching Ratios (BR) (from PYTHIA 6.323). It contains useful data on the BRs of Standard Model particles such as W and Z bosons, tau leptons, and more. Higgs boson production cross-sections and decay branching fractions can be obtained from the ATLAS note
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The fractions of signal and background events that will contribute to a particular final state (eg, tt-->bqq blv) should be calculated using this table of Branching Ratios (BR) (from PYTHIA 6.323). It contains useful data on the BRs of Standard Model particles such as W and Z bosons, tau leptons, and more. Higgs boson production cross-sections and decay branching fractions can be obtained from the ATLAS note
  Higgs production cross-sections and branching ratios for the ATLAS Higgs working group, ATL-COM-PHYS-2007-024
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Analysing the data

The simulated data ntuples can be analysed with the help of an object-oriented data analysis package provided by CERN, called ROOT.
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This tutorial covers the basic usage of ROOT for the purpose of running analysis tools on ATLAS data.
  The actual data analysis code will be written by the student, in C++. I will provide you with template code to read in an ntuple, book some histograms, apply some event selection cuts, fill in the histograms and print them to file. (Files run_analysis.C, analysis.C and analysis.h)
 
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