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Introduction to hands-on Exercise

Introduction to hands-on Exercise. Aim of the exercise Identify electrons, muons, neutrinos in the ATLAS detector Types of Events (“particles produced in one collision”) W e W Zee Z Background from jet production (which might look like W or Z event)

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Introduction to hands-on Exercise

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  1. Introduction to hands-on Exercise Aim of the exercise • Identify electrons, muons, neutrinos in the ATLAS detector • Types of Events (“particles produced in one collision”) • We • W • Zee • Z • Background from jet production (which might look like W or Z event) All the above events are ‘well-known’ processes • in addition we added one event from a yet undiscovered particle, Higgs, we hope to find soon • Heeee, Hmmm, or Heem • There will be a surprise prize for those who identifies this event !!! To do the exercise we use the Atlantis visualisation program As we don’t have data yet, we will use simulations

  2. How does a collider work?

  3. How to detect particles in a detector • Tracking detector • Measure charge and momentum of charged particles in magnetic field • Electro-magnetic calorimeter • Measure energy of electrons, positrons and photons • Hadronic calorimeter • Measure energy of hadrons (particles containing quarks), such as protons, neutrons, pions, etc. Neutrinos are only detected indirectly via ‘missing energy’ not recorded in the calorimeters • Muon detector • Measure charge and momentum of muons

  4. End-on view of the detector (x-y projection) • Warning: Only particles reconstructed in central region shown here (otherwise the particles in the forward would cover the view)! • Side view of the detector (R-z projection) • Particles in central and forward region are shown

  5. Tracking detector (several sub-systems) • Tracking detector (several sub-systems) • Electro-magnetic calorimeter • Tracking detector (several sub-systems) • Electro-magnetic calorimeter • Hadronic calorimeter • Tracking detector (several sub-systems) • Electro-magnetic calorimeter • Hadronic calorimeter • Muon detector

  6. Example: We • Characteristics: • Electron with high “side-way” or transverse energy • Neutrino measured indirectly via large missing “side-way” or transverse energy • Electron identification • Electron deposits its energy in electro-magnetic calorimeter • Electron identification • Electron deposits its energy in electro-magnetic calorimeter • Track in tracking detector in front of shower in calorimeter • Electron identification • Electron deposits its energy in electro-magnetic calorimeter • Track in tracking detector in front of shower in calorimeter • No ‘trace’ in other detectors (electron stops in electro-magnetic calorimeter) • Detail • we cannot measure the whole event energy because energy is lost in very forward region (beam-pipe) • better measurement: “side-way” component • typically “interesting” collisions contain particles with big “side-ways” energies

  7. Example: We • Electron track in tracking detector has high “side-ways” or transverse momentum (pT>10GeV) • To see this yourself, • click on ‘pick’ • Example: We • Electron track in tracking detector has high “side-ways” or transverse momentum (pT>10GeV) • To see this yourself, • click on ‘pick’ • move the pointer to the track and click on it • Example: We • Electron track in tracking detector has high “side-ways” or transverse momentum (pT>10GeV) • To see this yourself,

  8. Example: We • Electron track in tracking detector has high “side-ways” or transverse momentum (pT>10GeV) • To see this yourself, • click on ‘pick’ • move the pointer to the track and click on it • Selected track becomes grey • Example: We • Electron track in tracking detector has high “side-ways” or transverse momentum (pT>10GeV) • To see this yourself, • click on ‘pick’ • move the pointer to the track and click on it • Selected track becomes white • pT is shown here

  9. Example: We • Electron deposits large “side-ways” energy (ET) in electro-magnetic calorimeter (ET>10GeV) • To see this yourself • move the pointer to the ‘purple square’ and click on it • Example: We • Electron deposits large “side-ways” energy (ET) in electro-magnetic calorimeter (ET>10GeV) • To see this yourself,

  10. Example: We • Electron deposits large “side-ways” energy (ET) in electro-magnetic calorimeter (ET>10GeV) • To see this yourself • move the pointer to the ‘purple square’ and click on it • Selected ‘square’ becomes grey • Example: We • Electron deposits large “side-ways” energy (ET) in electro-magnetic calorimeter (ET>10GeV) • To see this yourself • move the pointer to the ‘purple square’ and click on it • Selected ‘square’ becomes grey • ET is shown here

  11. Example: We • Characteristics: • Electron with high “side-way” energy • -We now know how to identify them! • Neutrino measured indirectly via large missing “side-way” or transverse energy (ETmiss > 10GeV) • -Red dashed line in end-on view • Example: We • Characteristics: • Electron with high “side-way” energy • -We now know how to identify them! • Neutrino measured indirectly via large missing “side-way” or transverse energy (ETmiss > 10GeV) • -Red dashed line in end-on view • Value shown here • Example: We • Characteristics: • Electron with high “side-way” energy • -We now know how to identify them! • Neutrino measured indirectly via large missing “side-way” or transverse energy (ETmiss > 10GeV) • -Red dashed line in end-on view • Value shown here • Typically electron and ETmiss are ‘back-to-back’ • Example: We • Characteristics: • Electron with high “side-way” energy • -We now know how to identify them! • Example: We • Characteristics: • Electron with high “side-way” energy • -We now know how to identify them! • Neutrino measured indirectly via large missing “side-way” or transverse energy (ETmiss > 10GeV)

  12. Next event • Click on ‘Next’ 

  13. Example: W • Characteristics: • Large missing “side-way” energy (ETmiss > 10GeV) • Example: W • Characteristics: • Large missing “side-way” energy (ETmiss > 10 GeV) • 1 muon with high track “side-way” momentum (pT>10GeV) Example: W Characteristics:

  14. Muon identification • Track in muon detector • Muon identification • Track in muon detector • Track in tracking detector Muon identification

  15. Example: W • Characteristics: • Large missing “side-way” energy (ETmiss > 10 GeV) • 1 muon with high track “side-way” momentum (pT>10GeV) • here also some other low momentum tracks around from collision fragments  • Example: W • Characteristics: • Large missing “side-ways” energy (ETmiss > 10 GeV) • 1 muon with high track “side-way” momentum (pT>10GeV) 

  16. Example: Zee Characteristics: 2 electrons in the event

  17. Example: Z • Characteristics: • 2 muons in the event • Here: • one in central region • Example: Z • Characteristics: • 2 muons in the event • Here: • one in central region • one in forward region • Particles in forward region are not seen in “end-on” projection! Only in “side” projection    Example: Z Characteristics: 2 muons in the event 

  18. Example: background • Characteristics: • Does not contain We, W, Zee, Z • Typically bundles of particles (jets) are produced • Energy deposited in the electro-magnetic and hadronic calorimeter • Several tracks belonging to a jet are found • Example: background • Characteristics: • Does not contain We, W, Zee, Z • Typically bundles of particles (jets) are produced • Energy deposited in the electro-magnetic and hadronic calorimeter • Example: background • Characteristics: • Does not contain We, W, Zee, Z • Example: background • Characteristics: • Does not contain We, W, Zee, Z • Typically bundles of particles (jets) are produced

  19. Remember: • Sometimes it’s not so obvious if it’s a jet or an electron • Electron stops in electro-magnetic calorimeter, • so has ONLYelectro-magnetic component • Jet goes also in hadronic calorimeter, • so haselectro-magnetic AND hadronic component

  20. Exercise: let’s start! • The first event you have to analyse is already displayed • Study each event and classify it into 5 different categories • We, W, Zee, Z, background • There are some additional sheets to help you next to your computer • When you decide what type it is, tick the corresponding box (,,) • Only one tick per event! • Go to the next event using ‘Next’ • classify … tick … next … • Once you have analysed 20 events you’re done! • Tell me your results • look at the detector displays or continue and hunt for the Higgs • If you don’t manage to classify all events do not worry! • just stop where you are at the end and do the final count • Don’t forget there is also one Higgs event (Hmmm, Heeee or Heem) in the whole sample and there’s a prize waiting…. • At the end we will do the final summary and look at the ratio We/W, Zee/Z and the ratio W/Z production together

  21. EXTRAS

  22. Example: Zee • Here’s another one • In this example electrons do not look so ‘nice’ • Example: Zee • Here’s another one • In this example electrons do not look so ‘nice’ • Sometimes it happens that the track is not fully reconstructed and is shortened • Example: Zee • Here’s another one • In this example electrons do not look so ‘nice’ • Sometimes it happens that the track is not fully reconstructed and is shortened • Sometimes there might be a track near-by from other collision fragments • Example: Zee • Here’s another one

  23. Example: Zee • Here’s another one • In this example electrons do not look so ‘nice’ • Sometimes it happens that the track are not fully reconstructed and are shortened • Sometimes there might be a track near-by from other collision fragments • Those are typically ‘low’ momentum (few GeV)

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