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The Level-2 jet trigger and SUSY studies with the ATLAS detector. Ignacio Aracena University of Bern SLAC, Nov. 16 th 2006. Outline. Introduction Supersymmetry & mSUGRA The LHC and the ATLAS detector The ATLAS trigger system The Level-2 jet trigger SUSY decay chain - PowerPoint PPT Presentation
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The Level-2 jet trigger and SUSY The Level-2 jet trigger and SUSY studies with the ATLAS detectorstudies with the ATLAS detector
Ignacio AracenaIgnacio Aracena
University of BernUniversity of Bern
SLAC, Nov. 16SLAC, Nov. 16thth 2006 2006
Nov. 16th 2006 I. Aracena 2
OutlineOutline
• IntroductionIntroduction
• Supersymmetry & mSUGRASupersymmetry & mSUGRA
• The LHC and the ATLAS detectorThe LHC and the ATLAS detector
• The ATLAS trigger systemThe ATLAS trigger system
• The Level-2 jet triggerThe Level-2 jet trigger
• SUSY decay chainSUSY decay chain
• SUSY events in the electron triggerSUSY events in the electron trigger
• SummarySummary
Nov. 16th 2006 I. Aracena 3
IntroductionIntroduction
• Matter ↔ forces interactions are well described by the Standard Matter ↔ forces interactions are well described by the Standard
Model (SM)Model (SM)
• In the SM the “In the SM the “Higgs mechanismHiggs mechanism” ” generatesgenerates the particles’ masses the particles’ masses
• No Higgs particle discovered yet.No Higgs particle discovered yet.
• SM has shortcomings. It is not the fundamental theory.SM has shortcomings. It is not the fundamental theory.
• New physics phenomena expected at the TeV scale.New physics phenomena expected at the TeV scale.
• A very high luminosity particle accelerator colliding particles at the A very high luminosity particle accelerator colliding particles at the
TeV energy scale is needed! TeV energy scale is needed!
• The Large Hadron ColliderThe Large Hadron Collider
• Need an adequate detector to exploit the physics potentialNeed an adequate detector to exploit the physics potential
• The ATLAS detectorThe ATLAS detector
Nov. 16th 2006 I. Aracena 4
Motivation for SupersymmetryMotivation for Supersymmetry
The naturalness problem: mThe naturalness problem: mHiggsHiggs ~ M ~ MPlanckPlanck??
• Quadratically divergent correction to scalar massQuadratically divergent correction to scalar mass
• Corrections cancel (up to lnCorrections cancel (up to ln) if for each fermion loop an associated boson ) if for each fermion loop an associated boson
loop existsloop exists
No unification of the three forces in the SM?No unification of the three forces in the SM?
• Introduce new supersymmetric particles which yield unification of the gauge Introduce new supersymmetric particles which yield unification of the gauge
couplings at the GUT scale.couplings at the GUT scale.
)(ln8
|| 22
Om f2Higgs
)(ln16
22
Om S2
Higgs
Introduce new symmetry between fermions and bosons: Supersymmetry!Introduce new symmetry between fermions and bosons: Supersymmetry!
2 2
Nov. 16th 2006 I. Aracena 5
Minimal Supersymmetric Standard ModelMinimal Supersymmetric Standard Model
• The “minimal” implementation of supersymmetry is called Minimal The “minimal” implementation of supersymmetry is called Minimal Supersymmetric (extention) of the SM (MSSM)Supersymmetric (extention) of the SM (MSSM)– Solves naturalness problem, unification of couplingsSolves naturalness problem, unification of couplings
• Supersymmetry must be Supersymmetry must be broken broken
– SparticlesSparticles have not been seen so far M have not been seen so far Msleptonslepton ≠ M ≠ Mleptonlepton (heavier than (heavier than
our current reach) our current reach) • But don’t know how it is broken: But don’t know how it is broken:
– Several supersymmetry breaking scenarios (SUGRA,GMSB,...)Several supersymmetry breaking scenarios (SUGRA,GMSB,...)– Each scenario leads to a different phenomenologyEach scenario leads to a different phenomenology
• Depends on 105 free parametersDepends on 105 free parameters• MSSM allows proton decay! MSSM allows proton decay!
– Introduce R=(−1)Introduce R=(−1)3B−3L3B−3L−−2S2S parity conservation parity conservation• Ligthest SUSY Particle (LSP) is stableLigthest SUSY Particle (LSP) is stable
– If only weakly interacting a perfect candidate for cold dark matter If only weakly interacting a perfect candidate for cold dark matter
Nov. 16th 2006 I. Aracena 6
After supersymmetry and electroweak symmetry breaking, sparticles mix After supersymmetry and electroweak symmetry breaking, sparticles mix to form the physical mass eigenstatesto form the physical mass eigenstates
• Chargino sector: mixing ofChargino sector: mixing of
• Neutralino sector: mixing of Neutralino sector: mixing of
• Large mixing in third generation squark and sleptons Large mixing in third generation squark and sleptons
• Higgs sector: 5 physical states h, H, A, HHiggs sector: 5 physical states h, H, A, H±±
MSSM particlesMSSM particles
000 ~,~,~,~du
HHWB04
03
02
01
~,~,~,~
2,1~
Assume R-parity conservation:Assume R-parity conservation:
• Sparticles are produced in pairs. Sparticles are produced in pairs.
• The lightest supersymmetric particle (LSP) is stableThe lightest supersymmetric particle (LSP) is stable01
~
In pp- collider experiments: missing energy from two invisible LSPs in the final state!In pp- collider experiments: missing energy from two invisible LSPs in the final state!
HW ~,~
Assume LSP is electrically neutral and color-neutralAssume LSP is electrically neutral and color-neutral
• Interacts only weakly with ordinary matter invisible in the detectorInteracts only weakly with ordinary matter invisible in the detector
Nov. 16th 2006 I. Aracena 7
mSUGRAmSUGRA
• minimal Super Gravity postulates that hidden and visible sector minimal Super Gravity postulates that hidden and visible sector
communicate through gravitycommunicate through gravity
• A good framework for studies of SUSY searches at future collidersA good framework for studies of SUSY searches at future colliders
• Reduces the number of free parameters to five at the GUT scale:Reduces the number of free parameters to five at the GUT scale:
– mm00 common scalar mass common scalar mass
– mm1/21/2 common fermion mass common fermion mass
– tantan= v= vuu/v/vdd Higgs vacuum expectation values Higgs vacuum expectation values
– AA00 common trilinear coupling common trilinear coupling
– sgn(sgn() sign of Higgs mass parameter) sign of Higgs mass parameter
• mSUGRA used for ATLAS studies with full detector simulationmSUGRA used for ATLAS studies with full detector simulation
Nov. 16th 2006 I. Aracena 8
mSUGRA (mmSUGRA (m1/21/2,m,m00)-plane)-plane
Coannihilation regionCoannihilation regionLSP-NLSP coannihilationLSP-NLSP coannihilation
Focus point regionFocus point regionLSP higgsino-likeLSP higgsino-like
Different regions in the mSUGRA parameter space characterized according to the Different regions in the mSUGRA parameter space characterized according to the mechanims that leads to the observed mechanims that leads to the observed CDMCDM
Typically Typically σσ>1pb with sparticle masses <1TeV>1pb with sparticle masses <1TeV The LHC reach! The LHC reach!~
Bulk regionBulk regionlargely reduced by WMAPlargely reduced by WMAPLSP-LSP annihilation troughLSP-LSP annihilation troughslepton exchangeslepton exchange
Funnel regionFunnel regionlarge tanlarge tan2m(LSP)~m(H,A)2m(LSP)~m(H,A)
Nov. 16th 2006 I. Aracena 9
p-p collisions at the LHCp-p collisions at the LHC
Nominal LHC Parameters:Nominal LHC Parameters:7 TeV7 TeV Proton Energy Proton Energy10103434cmcm-2-2ss-1-1 Luminosity Luminosity28082808 Bunches per Beam Bunches per Beam10101111 Protons per Bunch Protons per Bunch
25ns25ns7.5m7.5m
Bunch Crossings 4x10Bunch Crossings 4x1077 Hz Hz
Proton-Proton Collisions 10Proton-Proton Collisions 1099 Hz Hz
Quark/Gluon CollisionsQuark/Gluon Collisions
µµnn
pp
nn
ee
Nov. 16th 2006 I. Aracena 10
Detector requirementsDetector requirements
In order to exploit the LHC physics potential, build a multipurpose In order to exploit the LHC physics potential, build a multipurpose
detector with:detector with:
• Very good calorimetry with good hermeticityVery good calorimetry with good hermeticity
• Efficient tracking for precision lepton momentum measurementEfficient tracking for precision lepton momentum measurement
• Precision muon momentum measurement with standalone capabilityPrecision muon momentum measurement with standalone capability
• Fast trigger system Fast trigger system
• Radiation hard detectorRadiation hard detector
The ATLAS detectorThe ATLAS detector
Nov. 16th 2006 I. Aracena 11
The ATLAS detectorThe ATLAS detector
AA TToroidal oroidal LLHC HC AApparatupparatuSS
p
p
DiameterDiameter 25 m 25 mBarrel toroid lengthBarrel toroid length 26 m 26 mEnd-cap end-wall chamber span 46 mEnd-cap end-wall chamber span 46 mOverall weightOverall weight 7000 Tons 7000 Tons
Nov. 16th 2006 I. Aracena 12
Physics events at the LHCPhysics events at the LHC
Event rate at the LHC is 1GHz!Event rate at the LHC is 1GHz!Cannot record all events on tape, but:Cannot record all events on tape, but:
Interesting new physics (SUSY) at Interesting new physics (SUSY) at ≤≤Hz rate!Hz rate!
Minimum bias events, SM physics at ~MHzMinimum bias events, SM physics at ~MHz
Select interesting events onlineSelect interesting events online
Reject uninteresting events onlineReject uninteresting events online
= The ATLAS trigger system= The ATLAS trigger system
+
Nov. 16th 2006 I. Aracena 13
The ATLAS triggerThe ATLAS trigger
Level 1 (hardware):Level 1 (hardware):Defines Regions of Interest (RoI).Defines Regions of Interest (RoI).Uses Calo cells and Muon Uses Calo cells and Muon chambers with reduced granularity.chambers with reduced granularity.e/e/, jet candidates., jet candidates.
Level 2 O(500PCs):Level 2 O(500PCs):Seeded by LVL1 RoI.Seeded by LVL1 RoI.Full granularity of the detectorFull granularity of the detectorPerforms calo-track matchingPerforms calo-track matching
Event Filter O(1900PCs):Event Filter O(1900PCs):Offline-like algorithms.Offline-like algorithms.Refines LVL2 decisionRefines LVL2 decisionFull event buildingFull event building
~200 Hz
~2 kHz
2s
10ms
1s
<75(100) kHz
Exe
cutio
n tim
e
TIER 0 mass storageTIER 0 mass storage
High Level Trigger (PC farm)High Level Trigger (PC farm)
Nov. 16th 2006 I. Aracena 14
Trigger menu tableTrigger menu table
ObjectObject Physics coveragePhysics coverage Object nameObject name
electronselectrons Higgs, new gauge bosons, extra Higgs, new gauge bosons, extra dim., SUSY, W/Z, topdim., SUSY, W/Z, top
e25i, 2e15i, e60e25i, 2e15i, e60
photonsphotons Higgs, SUSY, extra dim.Higgs, SUSY, extra dim. 60, 60, 20i20i
muonsmuons Higgs, new gauge bosons, extra Higgs, new gauge bosons, extra dim., SUSY, W/Z, topdim., SUSY, W/Z, top
20i, 220i, 2
JetsJets SUSY,compositness,resonancesSUSY,compositness,resonances j400, 3j165, 4j110j400, 3j165, 4j110
Jets+missEtJets+missEt SUSY, leptoquarksSUSY, leptoquarks j70+xE70j70+xE70
Tau+missEtTau+missEt Extended Higgs models (e.g. Extended Higgs models (e.g. MSSM), SUSYMSSM), SUSY
35i+xE4535i+xE45
2e15i stands for at least two isolated electrons with p2e15i stands for at least two isolated electrons with ptt>15GeV for both of them>15GeV for both of them
The Level-2 jet triggerThe Level-2 jet trigger
Nov. 16th 2006 I. Aracena 16
The Level-2 jet trigger packageThe Level-2 jet trigger package
• Uses Level-1 jet RoI as seed.Uses Level-1 jet RoI as seed.
• Calls a number of tools:Calls a number of tools:
1.1. Data preparation tool:Data preparation tool:
Access selected calo region around the Level-1 jet RoI.Access selected calo region around the Level-1 jet RoI.
2.2. Cone algorithm:Cone algorithm:
Assume cone-shaped jet with defined RAssume cone-shaped jet with defined Rconecone..
3.3. Calibration:Calibration:
Calibrate jet energy using sampling technique.Calibrate jet energy using sampling technique.
Nov. 16th 2006 I. Aracena 17
The Level-2 jet data preparationThe Level-2 jet data preparation
The data preparation tool is the most critical in terms of timing The data preparation tool is the most critical in terms of timing
performance (O(10performance (O(1066) calorimeter cells)) calorimeter cells)
Two data preparation methods implemented:Two data preparation methods implemented:
• T2CaloJetGridFromCells (cell jets):T2CaloJetGridFromCells (cell jets):
Uses full granularity of the ATLAS calorimeters.Uses full granularity of the ATLAS calorimeters.
• T2CaloJetGridFromFEBHeader (LArFEB jets):T2CaloJetGridFromFEBHeader (LArFEB jets):
Uses information from the LAr calorimeter Front End Boards (FEB).Uses information from the LAr calorimeter Front End Boards (FEB).
Uses cell-granularity for the tile calorimeter.Uses cell-granularity for the tile calorimeter.
One FEB receives signals from 128 calorimeter channels.One FEB receives signals from 128 calorimeter channels.
Calculate Ex, Ey, Ez over all channels connected to one FEB.Calculate Ex, Ey, Ez over all channels connected to one FEB.
Translate this into ETranslate this into ETT, , , , . .
Nov. 16th 2006 I. Aracena 18
Level-2 jet energy calibrationLevel-2 jet energy calibration
Need to correct the energy scale: T2CaloJetCalibToolNeed to correct the energy scale: T2CaloJetCalibTool
• Use sampling techniqueUse sampling technique E(rec)=wE(rec)=wemem((ηη)E(em)+wE(em)+whadhad((ηη)E(had),E(had),
• wwem,hadem,had = a+blog(E) = a+blog(E)
• Estimate weights by minimizing Estimate weights by minimizing
• Compute weights for bins in Compute weights for bins in ηη with ∆ with ∆ηη(bin)=0.1(bin)=0.1
• Weights obtained using cell-based methodWeights obtained using cell-based method
• Apply computed weights to cell- and LArFEB-jetsApply computed weights to cell- and LArFEB-jets
22 )( jets m
Recjet
truejet EES
Nov. 16th 2006 I. Aracena 19
Level-2 trigger algorithmLevel-2 trigger algorithm
• A TrigT2Jet object is created with L1 A TrigT2Jet object is created with L1 ..
• Data preparation tool access data around the Data preparation tool access data around the L1 ROI (L1 ROI (HalfWidthHalfWidth). Creates grid of detector ). Creates grid of detector readout elements (grid elements).readout elements (grid elements).
• Jet Cone algorithm iteration (Jet Cone algorithm iteration (NN times times):):
– Set inCone flag for gridElements inside Set inCone flag for gridElements inside cone radiuscone radius RRconecone=(∆=(∆∆∆
– Calculate energy-weighted Calculate energy-weighted ,,..
– Updates TrigT2Jet e, Updates TrigT2Jet e, , , ..
– Iterate N times.Iterate N times.
• Apply calibration weights.Apply calibration weights.
• Export final values.Export final values.
Half Width
ROIROI
ConeRadius
ROIROI
N iterations
Study jet trigger performance as a function of:Study jet trigger performance as a function of:
Data preparation tool, RoI HalfWidth, N iterations, Data preparation tool, RoI HalfWidth, N iterations,
coneRadius, calibration weights.coneRadius, calibration weights.
Nov. 16th 2006 I. Aracena 20
L2 jet system performanceL2 jet system performance
Difference between two consecutive iterations of T2CaloJetConeToolDifference between two consecutive iterations of T2CaloJetConeTool(Using 1000 dijet events pt>2240GeV)(Using 1000 dijet events pt>2240GeV)
∆∆E=E=jetN(E)jetN(E)−jetN-1(E)−jetN-1(E) ∆∆R=jetN(R)R=jetN(R)−jetN-1(R)−jetN-1(R)
T2CaloJetConeTool converges after 3-4 iterations (cell- and LArFEB-based)T2CaloJetConeTool converges after 3-4 iterations (cell- and LArFEB-based)
Nov. 16th 2006 I. Aracena 21
L2 jet system performanceL2 jet system performance
Number of grid elements prepared by the data preparation toolsNumber of grid elements prepared by the data preparation tools
LArFEB method reduces the amount of data by one order of magnitude.LArFEB method reduces the amount of data by one order of magnitude.
Nov. 16th 2006 I. Aracena 22
L2 jet timingL2 jet timing
LArFEB method reduces the amount of data by one order of magnitude.LArFEB method reduces the amount of data by one order of magnitude.Significant impact on timing.Significant impact on timing.
Cells FEBs
RoI Half Width
Rcone
1.0
0.7
1.0
0.7
RegionSelector 2.92 2.16
LAr ByteStreamConv 9.38 0.44
Tile ByteStreamConv 3.15 2.95
Prepare Grid 12.79 11.34
Cone algo (Nit = 1) 16.63 1.08
Total 45.54 12.85
Level-2 jet timing performance (in ms, 2.8GHz) Level-2 jet timing performance (in ms, 2.8GHz)
Map (Map ()-region to detector ID)-region to detector ID
Convert bytestream to C++ objectsConvert bytestream to C++ objectsfor LAr and tile calofor LAr and tile calo
Prepare all grid elements inside conePrepare all grid elements inside cone
One iteration of the cone algorithmOne iteration of the cone algorithm
Nov. 16th 2006 I. Aracena 23
Physics performancePhysics performance
Use QCD dijet samples:Use QCD dijet samples:
NameName pT rangepT range Cross section (pb)Cross section (pb)
J3J3 70-14070-140 5.8845.884··101066
J4J4 140-280140-280 3.0843.084··101055
J5J5 280-560280-560 1.2471.247··101044
J6J6 560-1120560-1120 360.4360.4
J7J7 1120-22401120-2240 5.7075.707
J8J8 >2240>2240 0.02440.0244
Compare L2 jets with MC truth jets:Compare L2 jets with MC truth jets:
• Cone algorithmCone algorithm• RRconecone=0.4, E=0.4, Eseedseed > 2GeV, E > 2GeV, Econecone > 10GeV > 10GeV
Use Level-2 jet algorithm parameters:Use Level-2 jet algorithm parameters:
• cell- and LArFEB method, Rcell- and LArFEB method, Rconecone=0.4, RoI HalfWidth=0.7, N iterations=3=0.4, RoI HalfWidth=0.7, N iterations=3
Nov. 16th 2006 I. Aracena 24
L2 jet – position resolutionL2 jet – position resolution
σ=2.8 σ=3.0
Compatible position resolution for cell- and LArFEB-based methods.Compatible position resolution for cell- and LArFEB-based methods.
Cell-jetsCell-jets LArFEB-jetsLArFEB-jets
Nov. 16th 2006 I. Aracena 25
L2 jet energy scaleL2 jet energy scale
Cell-basedCell-based LArFEB-basedLArFEB-based
Data sample 70 < p70 < pTT < 140 < 140
EEL2L2/E/EMCMC~1~1 EEL2L2/E/EMCMC>1>1
Larger spreadLarger spread
Need dedicated LArFEB weights!Need dedicated LArFEB weights!
Nov. 16th 2006 I. Aracena 26
L2 jet energy scaleL2 jet energy scale
Cell-basedCell-based LArFEB-basedLArFEB-based
Data sample 1120 < p1120 < pTT < 2240 < 2240
EEL2L2/E/EMCMC~<1~<1
Difference between detectorDifference between detectorlayoutlayout
EEL2L2/E/EMCMC>1>1
Larger spreadLarger spread
Need dedicated LArFEB weights!Need dedicated LArFEB weights!
SUSY searches at ATLASSUSY searches at ATLAS
In the mSUGRA bulk regionIn the mSUGRA bulk region
Nov. 16th 2006 I. Aracena 28
ATLAS mSUGRA pointsATLAS mSUGRA points
M0 (GeV) M1/2(GeV) A0 tanβ sgn(μ)
Coannihilation 70 350 0 10 +
Focus point 3550 300 0 10 +
Funnel region 320 375 0 50 +
Bulk (ATL-PHYS-2004-011) 100 300 -300 6 +
Scan 130-6000 600,1000 0 10 +
low mass point 200 160 -400 10 +
Following points have been chosen for study with the full ATLAS detector simulationFollowing points have been chosen for study with the full ATLAS detector simulation
The results shown in this talk are in the bulk regionThe results shown in this talk are in the bulk region
Nov. 16th 2006 I. Aracena 29
The bulk regionThe bulk region
mSUGRA Parameters:mSUGRA Parameters:
MM00 = 100GeV M = 100GeV M1/21/2 = 300GeV = 300GeV
AA00 = = −− 300GeV tan 300GeV tanββ = 6 = 6
σσLOLO = 19.3pb = 19.3pb
Mass hierarchy
0L 2u χ u 32.5% 02 1χ τ τ 75.4%
02 Rχ l l 8.8%
large missing ET and high-pt jets +leptons in the final statelarge missing ET and high-pt jets +leptons in the final state
The following results are obtained using this mSUGRA scenarioThe following results are obtained using this mSUGRA scenarioand using the full ATLAS detector simulation.and using the full ATLAS detector simulation.
Long decay chains:Long decay chains:
Nov. 16th 2006 I. Aracena 30
Inclusive SUSY searchesInclusive SUSY searches
Typical SUSY event contains at least 4 jets+missing Et Typical SUSY event contains at least 4 jets+missing Et
4i miss
eff T Ti
M p E Effective massEffective mass
SUSY g qmin( , )effM M m m
missEt>max(0.2Meff,100GeV)missEt>max(0.2Meff,100GeV)
1,2 jets Pt>100GeV1,2 jets Pt>100GeV
3,4 jets Pt>50GeV3,4 jets Pt>50GeV
Bulk region4.20fb−1
Nov. 16th 2006 I. Aracena 31
Exclusive signaturesExclusive signatures• After initial discovery of SUSY the measurement of the sparticle masses will After initial discovery of SUSY the measurement of the sparticle masses will
be the next step.be the next step.
• Two invisible LSP in each event, so no direct mass measurement possible.Two invisible LSP in each event, so no direct mass measurement possible.
• Obtain kinematic edges from invariant mass distributions of involved particles,Obtain kinematic edges from invariant mass distributions of involved particles,
e.g. dilepton distribution me.g. dilepton distribution mllll..
• Remove SUSY/SM BG using OppositeFlavor/OppositeSign (OF/OS) pairs, Remove SUSY/SM BG using OppositeFlavor/OppositeSign (OF/OS) pairs,
e.g. .e.g. .)μe()μμ()e(e mmm
2
l~
2
χ~
2
χ~
2
l~
χ~maxll
R
01
02
R02
11m
m
m
mmm
p
g~
Lq~qq
l~0
2χ~01χ~
l l
p
ATLAS
Bulk region4.20fb−1
• only SUSY signal (full sim.)
• select events with 2 leptons
GeV31.100maxll m
Nov. 16th 2006 I. Aracena 32
Combine the two leptons with the twohardest jets in the event:
Leptons+jets distributions - mLeptons+jets distributions - m llqllq
p
g~
Lq~qq
l~0
2χ~01χ~
l l
p
minllqllq
maxllq mmm
Obtain more edges: include the quark coming from the squark decay
ATLAS4.20fb−1
ATLAS4.20fb−1
GeV501maxqll m
0 200 400 600 800 1000
16
12
8
4
0
Ent
ries/
10G
ev
0 200 400 600 800 1000
60
5040302010 0
Ent
ries/
10G
ev
GeV272minqll m
Bulk region: signal evts (full sim.); ≥2 jets and 2 leptons. Apply OF/OS subtraction.
full sim. full sim.
mllq (GeV)small mllq (GeV)large
)),max(min( llj2llj1maxllq mmm
)),min(max( llj2llj1minllq mmm
Nov. 16th 2006 I. Aracena 33
They are particularly interesting:They are particularly interesting:• for large tanfor large tanββ, decays into have large BR., decays into have large BR.• Can use tau polarization measurement to further Can use tau polarization measurement to further
constrain the underlying SUSY model.constrain the underlying SUSY model.
Tau signaturesTau signatures
Decay chains involving taus areDecay chains involving taus are
challenging, due to:challenging, due to:
• Escaping neutrino.Escaping neutrino.
• Only consider hadronic tau decays.Only consider hadronic tau decays.
1τ
~
Distorted shape of the ditau mass distribution.
ττχ~ττ~χ~ 011
02
Bulk region MC truth(Herwig)
allhadrons
Nov. 16th 2006 I. Aracena 34
Ditau mass distributionDitau mass distribution
Bulk regionBulk region
• select events with two reconstructed taus.select events with two reconstructed taus.• Uncorrelated pairs accounted Uncorrelated pairs accounted for by using same-sign pairs.for by using same-sign pairs.• True endpoint True endpoint
• Endpoint structure visible at the expectedEndpoint structure visible at the expectedvalue.value.
GeV3.98maxττ m
Shape of Shape of can be calculated given can be calculated given
knowledge of tau polarizations.knowledge of tau polarizations.
Extracting polarization is challenging.Extracting polarization is challenging.
visττ,m
Reconstruct the dilepton inv. mass in the
decay chain. ττχ~ττ~χ~ 0
1102
)ττ()τ(τ visvis
mm
ATLAS4.2fb−1
full sim.
mττ (vis) (GeV)
mττ (vis)/98.3
Use MC truth as a first approx.and fit obtained function to data.
Nov. 16th 2006 I. Aracena 35
SUSY and trigger?SUSY and trigger?
• In the shown plots trigger effects are not taken into In the shown plots trigger effects are not taken into
account, i.e. assume 100% trigger efficiency.account, i.e. assume 100% trigger efficiency.
• In the real experiment the trigger will select online the In the real experiment the trigger will select online the
events.events.
• Events rejected by the trigger are lost forever!Events rejected by the trigger are lost forever!
• Need to understand and plan a concise strategy for Need to understand and plan a concise strategy for
triggering on SUSY events.triggering on SUSY events.
trigger-aware analysis!trigger-aware analysis!
Nov. 16th 2006 I. Aracena 36
Electron trigger – e25iElectron trigger – e25i
hadronic isolationhadronic isolation
central Region of Interest (RoI) clustercentral Region of Interest (RoI) cluster
EM isolationEM isolation
Electron trigger:Electron trigger:
• look for isolated EM clusterlook for isolated EM cluster
• match cluster to reconstructed match cluster to reconstructed
track (only L2 & EF)track (only L2 & EF)
Eff = Eff = No. events with No. events with ≥1 e≥1 e±± in MC truth in MC truth
No. events after L1/L2/EFNo. events after L1/L2/EF
Eff (%)Eff (%)
L1L1 95.295.2
L2L2 88.788.7
EFEF 80.580.5
Tune “e25i” trigger item with Tune “e25i” trigger item with single electrons with Esingle electrons with ETT=25GeV:=25GeV:
The Level-1 electron trigger
Nov. 16th 2006 I. Aracena 37
e25i trigger – with SUSYe25i trigger – with SUSY
Trigger levelTrigger level Tot. eff. e25iTot. eff. e25i
Lvl1Lvl1 70.6%70.6%
Lvl2Lvl2 62.8%62.8%
EFEF 57.0%57.0%
Level1 EM25i cuts (GeV)Level1 EM25i cuts (GeV)
tuned for 95% efficiency:tuned for 95% efficiency:
ClusterET > 19ClusterET > 19
EmRingIsol < 3EmRingIsol < 3
HadIsol < 2HadIsol < 2
Estimate e25i trigger efficiency using SUSY sample
Trigger levelTrigger level Tot. eff. e25(i)Tot. eff. e25(i)
Lvl1Lvl1 94.2%94.2%
Lvl2Lvl2 70.9%70.9%
EF EF 59.3%59.3%
Remove isolation at LVL1:Remove isolation at LVL1:
ClusterET > 19ClusterET > 19
EmRingIsol < 999999EmRingIsol < 999999
HadIsol < 999999HadIsol < 999999
Complex SUSY event signatures non-isolated electronsComplex SUSY event signatures non-isolated electrons
Nov. 16th 2006 I. Aracena 38
Electron efficiency – SUSYElectron efficiency – SUSY
How many good events are lost in the trigger (compared to offline)?How many good events are lost in the trigger (compared to offline)?
Compare pt distribution of leading electron (bulk+pileup 10Compare pt distribution of leading electron (bulk+pileup 103333cmcm––22ss––11):):
• offline reconstruction offline reconstruction PT>15GeV, |PT>15GeV, ||<2.5|<2.5
• offline reconstruction + electron trigger offline reconstruction + electron trigger e25i||2e15i||e60e25i||2e15i||e60
90% of the offline events (e25i||2e15i||e60) are also triggered90% of the offline events (e25i||2e15i||e60) are also triggered
Nov. 16th 2006 I. Aracena 39
SummarySummary
• The Level-2 jet trigger implemented and running.The Level-2 jet trigger implemented and running.
– Choice between cell-based and LArFEB-method.Choice between cell-based and LArFEB-method.
– LArFEB method 4 times faster than cell-method.LArFEB method 4 times faster than cell-method.
– Difference in energy scale between cells and LArFEB.Difference in energy scale between cells and LArFEB.
• Presented SUSY studies in the bulk region using full Presented SUSY studies in the bulk region using full
detector simulation.detector simulation.
– Reconstruct invariant mass distributions.Reconstruct invariant mass distributions.
– Non-isolated electrons found in the trigger.Non-isolated electrons found in the trigger.
Nov. 16th 2006 I. Aracena 40
OutlookOutlook
• Compute dedicated weights for the LArFEB-method.Compute dedicated weights for the LArFEB-method.
• Implement tile FEB information.Implement tile FEB information.
• Speed up cone jet algorithmSpeed up cone jet algorithm
• Study Level-2 jet performance with SUSY eventsStudy Level-2 jet performance with SUSY events
• Look at more complex trigger signatures (e.g. jets + non-Look at more complex trigger signatures (e.g. jets + non-
isolated electron)isolated electron)
BackupBackup
Nov. 16th 2006 I. Aracena 42
The Standard ModelThe Standard Model
YLC U(1)SU(2)SU(3)
Higgs particle “generates mass” of SM particles, but no Higgs particle detected yet!Higgs particle “generates mass” of SM particles, but no Higgs particle detected yet!
Nov. 16th 2006 I. Aracena 43
SupersymmetrySupersymmetry
• Postulates a new (yet unseen) symmetry that swaps fermions into bosons:Postulates a new (yet unseen) symmetry that swaps fermions into bosons:
– every known particle has a superpartner every known particle has a superpartner
Q| f > = | b > Q| f > = | b > Q| b > = | f >Q| b > = | f > (Q = symmetry generator)(Q = symmetry generator)
• Doubles the known particle content (new s-particles), two Higgs doublets, and Doubles the known particle content (new s-particles), two Higgs doublets, and arranges them in Supermultiplets:arranges them in Supermultiplets:
Nov. 16th 2006 I. Aracena 44
Inclusive SUSY signaturesInclusive SUSY signatures
• A typical SUSY event at LHC will A typical SUSY event at LHC will contain hard jets + n leptons and large contain hard jets + n leptons and large missing transverse energy, Emissing transverse energy, ETT . .
• The SUSY mass scale:The SUSY mass scale:
• The effective Mass gives a handle on The effective Mass gives a handle on the SUSY mass scale (Hinchliffe et al., the SUSY mass scale (Hinchliffe et al., Phys. Rev. D55 (1997) 5520):Phys. Rev. D55 (1997) 5520):
• Cuts to reject SM backgroundCuts to reject SM background– 4 jets with P4 jets with PTT > 50GeV > 50GeV– 2 jets with P2 jets with PTT > 100GeV > 100GeV– EETT > max(0.2M > max(0.2Meffeff,100GeV),100GeV)– no leptonno lepton
SUSYmissT
4iTeff MEpM
i
g~
Lq~q 02χ~
l~
l l
01χ~
p
),min( q~g~SUSY mmM
ATLAS 20.6fb−1
SM background(ATL-PHYS-2004-011)
SUSY signal (full sim.)
miss
miss
coannihilation
Nov. 16th 2006 I. Aracena 45
The Large Hadron ColliderThe Large Hadron Collider
• 14 TeV Centre of Mass proton-proton collider14 TeV Centre of Mass proton-proton collider
• 40 MHz interaction 40 MHz interaction
• Low luminosity (2Low luminosity (2∙∙101033 33 cmcm22/s) (~2 p-p collisions)/s) (~2 p-p collisions)
• High luminosity (10High luminosity (1034 34 cmcm22/s) (~23 p-p collisions)/s) (~23 p-p collisions)
Nov. 16th 2006 I. Aracena 46
The ATLAS triggerThe ATLAS trigger
Level 1 (hardware):Defines Regions of Interest (RoI).Uses Calo cells and Muon chambers with reduced granularity.e/, jet candidates.
Level 2 O(500PCs):Seeded by LVL1 RoI.Full granularity of the detectorPerforms calo-track matching
Event Filter O(1900PCs):Offline-like algorithms.Refines LVL2 decisionFull event building
~200 Hz
~2 kHz
2s
10ms
1s
<75(100) kHz
Exe
cutio
n tim
e
TIER 0 mass storage
High Level Trigger (PC farm)
Nov. 16th 2006 I. Aracena 47
The Level-2 jet triggerThe Level-2 jet trigger
top algorithm:top algorithm:T2CaloJetT2CaloJet
Find jet using cone-based algorithm:Find jet using cone-based algorithm:
T2CaloJetConeToolT2CaloJetConeTool
Calibrate jet energy:Calibrate jet energy:
T2CaloJetCalibrationToolT2CaloJetCalibrationTool
data preparationdata preparation
Access data around LVL1 jet RoI:Access data around LVL1 jet RoI:• T2CaloJetGridFromCellsT2CaloJetGridFromCells• T2CaloJetGridFromFEBHeaderT2CaloJetGridFromFEBHeader
Nov. 16th 2006 I. Aracena 48
L2 jet algorithm-energy scaleL2 jet algorithm-energy scale
Cell-basedCell-based LArFEB-basedLArFEB-based
Cell-based jets:Cell-based jets:
Scale ~1 (Scale ~1 (−−5%).5%).
LArFEB-based jets:LArFEB-based jets:
Results for 0< Results for 0< ηη <1.5 only <1.5 only
Scale decreases with energy (10%).Scale decreases with energy (10%).
Nov. 16th 2006 I. Aracena 49
L2 jet – energy resolutionL2 jet – energy resolution
Cell-basedCell-based LArFEB-basedLArFEB-based
Cell-based jets:Cell-based jets:
resolution improves with energyresolution improves with energy
LArFEB-based jets:LArFEB-based jets:
results for 0< results for 0< ηη <1.5 only <1.5 only
resolution improves with energyresolution improves with energy
Nov. 16th 2006 I. Aracena 50
SM shortcomings & new physicsSM shortcomings & new physics
The shortcomings of the SM The shortcomings of the SM
• No unfication of forcesNo unfication of forces
• Gravity not described in SMGravity not described in SM
• Naturalness, hierarchy problemNaturalness, hierarchy problem
• CP-violationCP-violation
• Finite neutrino massFinite neutrino mass
Possible solutionsPossible solutions• SupersymmetrySupersymmetry• Extra dimensionsExtra dimensions• TechnicolorTechnicolor
All those theories predict new physics at the TeV energy scale!!All those theories predict new physics at the TeV energy scale!!