Difference between revisions of "Bachelor student Projects"

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''' Research description: '''
 
''' Research description: '''
  
Many theories that try to solve shortcomings of the Standard Model propose that the top quark, the most massive particle in the Standard Model, may have a partner. Supersymmetry, for example, predicts a spin-0 partner of the top quark, but does not predict its mass. The ATLAS experiment at the LHC is well equipped to search for heavy new particles that may be produced in high-energy proton-proton collisions. In this bachelor project we will try to improve the criteria that ATLAS uses to search for supersymmetric top quarks, focusing in particular on very massive particles with masses around 1 TeV.In order to select supersymmetric top quark candidates (the signal) in the ATLAS data we must apply selection criteria that cut away events that are not produced by supersymmetric top quarks (the background, or the noise). These selection criteria must be designed to be very effective for noise-reduction, while retaining as much of the signal as possible.
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Many theories that try to solve shortcomings of the Standard Model propose that the top quark, the most massive particle in the Standard Model, may have a partner. Supersymmetry, for example, predicts a spin-0 partner of the top quark, but does not predict its mass. The ATLAS experiment at the LHC is well equipped to search for heavy new particles that may be produced in high-energy proton-proton collisions. In searches for new particles it is important to have a good understanding of all those
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events that might behave as our signal but are originating from already known particles
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(background or noise). To do so a prediction of the background is obtained by means of a Monte
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Carlo simulation to which certain systematic uncertainties are attributed.
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In this project we will try to improve the understanding of these systematic uncertainties,
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trying to highlight which are the physics quantities, used to discriminate the signal from the
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background, that are affected the most by these uncertainties. If possible we will also design a
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strategy to reduce the impact of these uncertainties on the background estimates in a
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generalised form that could be of use to all ATLAS searches.
  
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Schedule
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week 1/2: Introduction to theory and ATLAS experiment
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week 3: Introduction to ROOT
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week 4/5: Implementation of top squark selection criteria on simulated events and ATLAS data
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week 6/7: Study of the effects of variation of simulated background events
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week 8: Identification of physics quantities with the largest effects
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week 9: Designing of a strategy to minimize systematic uncertainties
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week 10: Presentation of the results
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week 11: Writing and discussion
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week 12: Writing and discussion
  
  
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Tijdens dit project zullen we botsingen van de LHC analyseren met twee Higgs deeltjes in de eindtoestand. We zullen simulaties van botsingen genereren en bepalen of we dit signaal met de toekomstige data van  ATLAS kunnen isoleren van de achtergrond.
 
Tijdens dit project zullen we botsingen van de LHC analyseren met twee Higgs deeltjes in de eindtoestand. We zullen simulaties van botsingen genereren en bepalen of we dit signaal met de toekomstige data van  ATLAS kunnen isoleren van de achtergrond.
  
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{| border="1"  cellpadding="2" cellspacing="0"
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! style="background:#339999;" | <font color=#ffffff> 7) Dark matter in association with top quarks  </font>
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''' Supervisors:'''  Paul de Jong (staf) and Priscilla Pani (PhD student)
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''' Research description: '''
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It is currently believed that ~27% of our Universe is composed by the so called Dark Matter.
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Hadron Collider (LHC).
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In this project the student will analyse 8 TeV ATLAS data
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and improve the criteria that ATLAS uses to search for Dark Matter particles produced in
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association with top quarks. The student will focus on particular models for which the current
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ATLAS analyses are less sensitive and apply selection criteria designed to cut away events
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produced by ordinary known particles (background, noise) while retaining as much of the dark
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matter events as possible.
  
  
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! style="background:#339999;" | <font color=#ffffff> 7) Hisparc data acquisitie  </font>
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! style="background:#339999;" | <font color=#ffffff> 8) Hisparc data acquisitie  </font>
 
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Revision as of 10:55, 7 March 2014