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MINERVA Identifying Particle Tracks nneLynne Long University of Birmingham With thanks to Tom McLaughlan & Hardeep Bansil An exercise 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

MINERVA Identifying Particle Tracks nneLynne Long University of Birmingham With thanks to Tom McLaughlan & Hardeep Bansil An exercise for students in the

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Page 1: MINERVA Identifying Particle Tracks nneLynne Long University of Birmingham With thanks to Tom McLaughlan & Hardeep Bansil An exercise for students in the

MINERVAIdentifying

Particle Tracks

nneLynne Long

University of Birmingham

With thanks to Tom McLaughlan & Hardeep Bansil

An exercise 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

Page 2: MINERVA Identifying Particle Tracks nneLynne Long University of Birmingham With thanks to Tom McLaughlan & Hardeep Bansil An exercise for students in the

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ATLAS - A Toroidal LHC ApparatuS

Page 3: MINERVA Identifying Particle Tracks nneLynne Long University of Birmingham With thanks to Tom McLaughlan & Hardeep Bansil An exercise for students in the

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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

Page 4: MINERVA Identifying Particle Tracks nneLynne Long University of Birmingham With thanks to Tom McLaughlan & Hardeep Bansil An exercise for students in the

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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

Electron

Photon

Proton or π+

Neutrino(not seen)

Neutron

Muon

Page 5: MINERVA Identifying Particle Tracks nneLynne Long University of Birmingham With thanks to Tom McLaughlan & Hardeep Bansil An exercise for students in the

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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

Page 6: MINERVA Identifying Particle Tracks nneLynne Long University of Birmingham With thanks to Tom McLaughlan & Hardeep Bansil An exercise for students in the

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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

Page 7: MINERVA Identifying Particle Tracks nneLynne Long University of Birmingham With thanks to Tom McLaughlan & Hardeep Bansil An exercise for students in the

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Atlantis

Page 8: MINERVA Identifying Particle Tracks nneLynne Long University of Birmingham With thanks to Tom McLaughlan & Hardeep Bansil An exercise for students in the

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The Canvas

• The Canvas shows:

• The end-on view of the detector

• Energy shown in ‘rolled out’ calorimeters

• The side view of the detector

Page 9: MINERVA Identifying Particle Tracks nneLynne Long University of Birmingham With thanks to Tom McLaughlan & Hardeep Bansil An exercise for students in the

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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

Page 10: MINERVA Identifying Particle Tracks nneLynne Long University of Birmingham With thanks to Tom McLaughlan & Hardeep Bansil An exercise for students in the

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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)

Page 11: MINERVA Identifying Particle Tracks nneLynne Long University of Birmingham With thanks to Tom McLaughlan & Hardeep Bansil An exercise for students in the

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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

Page 12: MINERVA Identifying Particle Tracks nneLynne Long University of Birmingham With thanks to Tom McLaughlan & Hardeep Bansil An exercise for students in the

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Example: Finding Electrons

• First look at end-on view:

• Energy deposit in EM calorimeter

• Track in Inner Detector

• ‘Missing Energy’ represented by dashed line

Page 13: MINERVA Identifying Particle Tracks nneLynne Long University of Birmingham With thanks to Tom McLaughlan & Hardeep Bansil An exercise for students in the

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Example: Finding Electrons

• In the side view:

• Track in Inner Detector

• Energy deposit in EM calorimeter

Page 14: MINERVA Identifying Particle Tracks nneLynne Long University of Birmingham With thanks to Tom McLaughlan & Hardeep Bansil An exercise for students in the

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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)

Page 15: MINERVA Identifying Particle Tracks nneLynne Long University of Birmingham With thanks to Tom McLaughlan & Hardeep Bansil An exercise for students in the

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Example: Classifying an Event

• This event actually contains 2 electrons

• With very little missing energy

• Therefore this event must be a Z→ee

Page 16: MINERVA Identifying Particle Tracks nneLynne Long University of Birmingham With thanks to Tom McLaughlan & Hardeep Bansil An exercise for students in the

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Example: Another Electron?

• Is this another electron?

• Track in Inner Detector

• But not much calorimeter activity

Page 17: MINERVA Identifying Particle Tracks nneLynne Long University of Birmingham With thanks to Tom McLaughlan & Hardeep Bansil An exercise for students in the

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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

Page 18: MINERVA Identifying Particle Tracks nneLynne Long University of Birmingham With thanks to Tom McLaughlan & Hardeep Bansil An exercise for students in the

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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...

Page 19: MINERVA Identifying Particle Tracks nneLynne Long University of Birmingham With thanks to Tom McLaughlan & Hardeep Bansil An exercise for students in the

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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

Page 20: MINERVA Identifying Particle Tracks nneLynne Long University of Birmingham With thanks to Tom McLaughlan & Hardeep Bansil An exercise for students in the

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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...

Page 21: MINERVA Identifying Particle Tracks nneLynne Long University of Birmingham With thanks to Tom McLaughlan & Hardeep Bansil An exercise for students in the

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Example: Finding Muons

• Track in Inner Detector and Muon Spectrometer

• Not much calorimeter activity

• Lots of missing energy

• This event is a W→μν

Page 22: MINERVA Identifying Particle Tracks nneLynne Long University of Birmingham With thanks to Tom McLaughlan & Hardeep Bansil An exercise for students in the

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Example: More Muons

• Two inner detector tracks extending into the Muon Spectrometer

• Not much calorimeter activity

• This event is a Z→μμ

Page 23: MINERVA Identifying Particle Tracks nneLynne Long University of Birmingham With thanks to Tom McLaughlan & Hardeep Bansil An exercise for students in the

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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...

Page 24: MINERVA Identifying Particle Tracks nneLynne Long University of Birmingham With thanks to Tom McLaughlan & Hardeep Bansil An exercise for students in the

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Identifying Background

• Could this event contain an interesting electron or muon?

Page 25: MINERVA Identifying Particle Tracks nneLynne Long University of Birmingham With thanks to Tom McLaughlan & Hardeep Bansil An exercise for students in the

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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

Page 26: MINERVA Identifying Particle Tracks nneLynne Long University of Birmingham With thanks to Tom McLaughlan & Hardeep Bansil An exercise for students in the

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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 !

Page 27: MINERVA Identifying Particle Tracks nneLynne Long University of Birmingham With thanks to Tom McLaughlan & Hardeep Bansil An exercise for students in the

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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

Page 28: MINERVA Identifying Particle Tracks nneLynne Long University of Birmingham With thanks to Tom McLaughlan & Hardeep Bansil An exercise for students in the

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Z Mass with Muons

• Use the Pick tool to select the two muons

• Get the Px Py Pz for each lepton to calculate E

using non SI units as Particle Physicists do!

• Get Z mass from both leptons

22222 mpppE zyx

22222 )()()()( zyx pppEM

Page 29: MINERVA Identifying Particle Tracks nneLynne Long University of Birmingham With thanks to Tom McLaughlan & Hardeep Bansil An exercise for students in the

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Summary

• Hopefully, you got something like this …

Page 30: MINERVA Identifying Particle Tracks nneLynne Long University of Birmingham With thanks to Tom McLaughlan & Hardeep Bansil An exercise for students in the

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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

Page 31: MINERVA Identifying Particle Tracks nneLynne Long University of Birmingham With thanks to Tom McLaughlan & Hardeep Bansil An exercise for students in the

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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

Page 32: MINERVA Identifying Particle Tracks nneLynne Long University of Birmingham With thanks to Tom McLaughlan & Hardeep Bansil An exercise for students in the

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LinksMain Minerva website

http://atlas-minerva.web.cern.ch/atlas-minerva/

ATLAS Experiment public websitehttp://atlas.ch/

Learning with ATLAS@CERNhttp://www.learningwithatlas-portal.eu/en

The Particle Adventure (Good introduction to particle physics)

http://www.particleadventure.org/

LHC@InternationalMasterclasseshttp://kjende.web.cern.ch/kjende/en/index.htm