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MINERVA Identifying Particle Tracks

This exercise allows students to gain practical experience in identifying particle tracks and understanding basic physics concepts through adapted computer software from the LHC experiment.

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MINERVA Identifying Particle Tracks

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  1. MINERVAIdentifying Particle Tracks Anexercise for students in the classroom using adapted computer software from the LHC experiment - giving a hands on experience of how science works as well as using basic physics ideas from curriculumxercise for nneLynne Long University of Birmingham With thanks to Tom McLaughlan & Hardeep Bansil

  2. ATLAS - AToroidal LHC ApparatuS

  3. The Standard Model and W & Z Bosons • The W and Z bosons are some of the most massive particles we know of • They can be created from the energy produced when two protons collide in the LHC experiments • But they very rapidly decay to pairs of lighter particles • These particles can be identified in the computer software display

  4. Identifying Particles • The Inner Detector measures the charge and momentum of charged particles, neutral particles don’t leave tracks • The Electromagnetic Calorimeter measures the energy of electrons, positrons and photons • The Hadronic Calorimeter measures the energy of particles containing quarks, such as protons, pions and neutrons • The Muon Spectrometer measures the charge and momentum of muons Neutron Photon Electron Neutrino (not seen) Proton or π+ Muon

  5. Why an exercise with W & Z Bosons? • The W and Z bosons have been studied in great detail at previous experiments • Helps us to understand new experiments • They are also still very important in understanding new physics • For example, the Higgs Boson may be massive enough to create a pair of W or Z bosons

  6. Aims of the Exercise • Identify the particles detected by ATLAS with the Atlantis Event Display • Determine the types of events you are looking at: • W → electron + neutrino • W → muon + neutrino • Z → electron + positron • Z → muon + anti-muon • Background from jet production • Later - measure the Z boson mass from selected Z candidates with the help of E2 = m2c4 + p2c2

  7. Atlantis

  8. The Canvas • The Canvas shows: • The end-on view of the detector • Energy shown in ‘rolled out’ calorimeters • The side view of the detector

  9. The Graphical User Interface (GUI) • From the GUI you can: • Load and navigate through a collection of events • Interact with the event picture • View output data from the event

  10. Explanation: Transverse Energy and Momentum • Before colliding, the protons in ATLAS move only in the z-direction • Therefore, we know that in x and y, the momentum is zero and this must be conserved after the collision • We cannot measure the whole event energy because energy is lost in very forward region (beam-pipe) • Better measurement: transverse or “side-ways” component (x-y) • Typically “interesting” collisions contain particles with big transverse energies (ET) and momenta (pT)

  11. Explanation: Missing Energy • Before colliding, the protons in ATLAS move only in the z-direction • Therefore, we know that in x and y, the momentum is zero and this must be conserved after the collision • If a neutrino is created, the detector doesn’t see it, so when we add up the momenta of all the particles we see, there is a deficit - this is Missing Energy

  12. Example: Finding Electrons • First look at end-on view: • Energy deposit in EM calorimeter • Track in Inner Detector • ‘Missing Energy’ represented by dashed line

  13. Example: Finding Electrons • In the side view: • Track in Inner Detector • Energy deposit in EM calorimeter

  14. Example: Finding Electrons • This plot is known as the ‘Lego Plot’ • Think of it as showing the calorimeters rolled out flat • In the Lego Plot: • Energy deposited in the EM calorimeter (green)

  15. Example: Classifying an Event • This event actually contains 2 electrons • With very little missing energy • Therefore this event must be a Z→ee

  16. Example: Another Electron? • Is this another electron? • Track in Inner Detector • But not much calorimeter activity

  17. Check the Output • Use the ‘Pick’ tool to measure the momentum of the particle • Click ‘Pick’ • Click on the track • The track will turn grey and data will appear in the output box

  18. Check the Output • This track has too low momentum (P) to be of interest • The lack of calorimeter activity also suggests that this is an uninteresting track • This means nothing happened in the barrel region...

  19. Checking the Endcaps • This could still be an interesting event, however • Check in the other views • Here is a track with an energy deposit in the EM calorimeter endcap • Also a large amount of Missing Energy • This event is a W→eν

  20. Identifying Electrons • Now we know how to classify events containing electrons • Make sure you make note of which events you have seen as you go along • We are not only looking at electrons, however...

  21. Example: Finding Muons • Track in Inner Detector and Muon Spectrometer • Not much calorimeter activity • Lots of missing energy • This event is a W→μν

  22. Example: More Muons • Two inner detector tracks extending into the Muon Spectrometer • Not much calorimeter activity • This event is a Z→μμ

  23. Background • Some events may look interesting, but are just background events to what we are interesting in searching for • This may be due to the production of streams of hadrons travelling close together (known as jets), for example • So, we also need to know how to identify the background events...

  24. Identifying Background • Could this event contain an interesting electron or muon?

  25. Identifying Background • Lots of EM calorimeter activity and some Muon hits • But also a lot of Hadronic calorimeter activity • This event is a background event

  26. Summary of Task • Use instructions in front of you to open the MINERVA software from USB • Look through your 5 tutorial events (already loaded) and classify each event into one of the five categories: • Z→ee, W→eν, W→μν, Z→μμ, Background • Another 20 events preloaded for more practice – use the tally sheet to record your results and check your answers on the solution tally sheet on the USB. • Particle ID help sheets available !

  27. Summary of Next Task • Load the file with Z candidate events from USB and look through them to measure the mass of a Z boson • Aim to determine the mass from the two lepton candidates using conservation of enrgy and momentum principles (use paper & pen or spreadsheet) • Aim to calculate masses for at least 10 events • Use plotter to fit data  access from USB using Firefox

  28. Z Mass with Muons Use the Pick tool to select the two muons Get the PxPyPz for each lepton to calculate Eusing non SI units as Particle Physicists do! Get Z mass from both leptons 28

  29. Summary • Hopefully, you got something like this …

  30. Summary • Z mass is 91.1876±0.0021 GeV/c2 ("2008 Review of Particle Physics – Gauge and Higgs Bosons") • If not close or error very big, add more entries using “Add 10 Events” button • Always get a range of values due to uncertainty in measurement

  31. Credits • MINERVA is developed by staff and students at RAL and the University of Birmingham • Atlantis is developed by staff and students at Birmingham, UCL and Nijmegen

  32. Links Main Minerva website http://atlas-minerva.web.cern.ch/atlas-minerva/ ATLAS Experiment public website http://atlas.ch/ Learning with ATLAS@CERN http://www.learningwithatlas-portal.eu/en The Particle Adventure (Good introduction to particle physics) http://www.particleadventure.org/ LHC@InternationalMasterclasses http://kjende.web.cern.ch/kjende/en/index.htm

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