Difference: PH4100MajorProjectPTD_1920 (3 vs. 4)

Revision 422 Oct 2019 - PedroTeixeiraDias

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  This project is based on the analysis of simulated data of proton-proton collisions in the ATLAS particle detector at the Large Hadron Collider (LHC). The objective is to study the production of Higgs particles in association with a pair of top quarks: the so-called ttH process. Specifically the process of interest (the signal) is when the Higgs boson decays to a pair of b quarks: ttH (H-bb). The project will required the detailed analysis of simulated samples of signal events, as well as analysing all the relevant background processes. In particular ,the student will aim to develop event selection procedures to effectively separate the signal from the backgrounds. This will start with the development of a simple cut-based event selection, optimised using relevant metrics. The student can then progress to using instead an event selection based on eg a Fisher discriminant, or more advanced multivariate methods (such as a Neural Network (NN) or a Boosted Decision Tree (BDT)).
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How to connect to the linappserv computer cluster from your laptop or from a PC in the Teaching Lab

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Physics: important sources of information

 
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The most up-to-date instructions for this are normally on the web page of the PH4515 Statistical Data Analysis course (taught by Prof. Glen Cowan). The direct link to the instructions is here.
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Published articles:
 
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Troubleshooting:
  • If connecting at RHUL, it seems that being connected to the CampusNet network (rather than eg eduroam) is important.
  • On the Teaching Lab PCs, you may have to download PuTTY if it is not already installed. If that is the case find and download the respective the MS Installer file (*.msi) on the web. After the download is complete the file should auto-install.
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Normally it would be expected that students doing this project are taking the PH4515 Statistical Data Analysis course taught by Prof. Glen Cowan.
 
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Tools for the project

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The Particle Data Group (PDG) website includes a lot of useful information. In particular, the student should use the "Summary Tables" to find out the main decay modes and respective branching ratios for the following particles: top, Higgs, W and Z. The decays of the tau lepton to electrons or muons (as opposed to hadronic decays of the tau lepton) are also of interest for this project.
 
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This is a computer-based project. You will be analysing large simulated samples of events in the ATLAS detector at the LHC. The project requires programming in C++, the use of the ROOT data analysis package and knowledge of basic Linux OS commands. Links to sources of information on these and other topics are given in the sub-topics below.
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The LHC Higgs cross-section working group TWiki pages are here.
 
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Normally it would be expected that students doing this project are taking the PH4515 Statistical Data Analysis course taught by Prof. Glen Cowan.
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The cross-sections of most background processes, as measured by the ATLAS experiment, are available from these plots: Standard Model Summary Plots (July 2019)
 
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The Particle Data Group (PDG) website includes a lot of useful information. In particular, the student should use the "Summary Tables" to find out the main decay modes and respective branching ratios for the following particles: top, Higgs, W and Z. The decays of the tau lepton to electrons or muons (as opposed to hadronic decays of the tau lepton) are also of interest for this project.
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Tools for the project

This is a computer-based project. You will be analysing large simulated samples of events in the ATLAS detector at the LHC. The project requires programming in C++, the use of the ROOT data analysis package and knowledge of basic Linux OS commands. Links to sources of information on these and other topics are given in the sub-topics below.

 

C++ programming language

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  In this project you will be writing/editing C++ code very often. You can in principle use any ASCII text editor for this, but it is recommended that you use an editor that is C++ aware. One such editor (happens to be my favourite) is the Gnu Emacs editor. If you decide to use emacs here is a handy reference card with the main commands; you'll probably only ever need about 10 commands or so.
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How to connect to the linappserv computer cluster from your laptop or from a PC in the Teaching Lab

The most up-to-date instructions for this are normally on the web page of the PH4515 Statistical Data Analysis course (taught by Prof. Glen Cowan). The direct link to the instructions is here.

Troubleshooting:

  • If connecting at RHUL, it seems that being connected to the CampusNet network (rather than eg eduroam) is important.
  • On the Teaching Lab PCs, you may have to download PuTTY if it is not already installed. If that is the case find and download the respective the MS Installer file (*.msi) on the web. After the download is complete the file should auto-install.
 

Simulated event samples

The list of simulated event samples available for this project is given in a separate page.

 
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