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CMS status. A walk through the performance of CMS at LHC Will try to avoid overlap with later presentations on physics performance Acknowledgements: the material presented here is the result of work of > thousand people who have built, commissioned CMS over the years and to those who have - PowerPoint PPT Presentation
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CMS statusA walk through the performance of CMS at
LHC
Will try to avoid overlap with later presentations on physics performance
Acknowledgements: the material presented here is the result of work of > thousand people who have
built, commissioned CMS over the years and to those who have
analyzed the data which has been pouring in the last months: to them goes
the merit of the results shown, mine are only the mistakes/omissions
T. Camporesi , CERN
CMS
How are we doing93% lumi livetime during stable
beam:Most losses due to study beam
related issues with readout: fixed since end of August
Running with L1 trigger rate between 45 and 70 KHz (sustained peaks at 90 KHz) and logging rate between
350 and 600 Hz
L=1027Hz/cm2L=1028Hz/cm2L=1029Hz/cm2
L=1030Hz/cm2
L=3 1030Hz/cm2
L= 1031Hz/cm2
L= 5 1031Hz/cm2
PixelStrip
EB+EEEBEEES
HCALHBHEHFHODT
RPCCSC
CASTOR
93 94 95 96 97 98 99 100 101% Usable Channels
Today
Trackers and tracking
Tracker material TDR MC now
and it seems correct
Conversions Conversions
Conversions Nuclear Interactions
Magnet•In order to
achieve P resolution goals the magnetic field has to be understood to the permill level
Analitical fit reproduces measurement to 0.01%
Low P
J/ΨTDR: almost mission accomplished for
low P
Single track pt resolution extracted from J/Ψ width
Y(1,2,3S)
Intermediate PNo bias with a
precision of 0.15%
Z→mmW→mn
High P (cosmics)
~8% for pt=500 GeV
Split cosmic track at point of closest approach to ‘IP’
Tag-leg
Probe-legEstimate momentum
scale bias by assuming no infinite P tracks
-0.044±0.022 TeV-1
Vertex and IP resolution
Alignment: cosmics and early data I.P.
Vertex resolution
Pixel
Silicon Tracker
XZ
€
D0 →K −π +π −π +
D0 →K −π +
Tracking efficiency
and it is not affected by pileup
Probes passing the matching
Probes failing
the matching
J/Psi Tag and probe
Muons
Muon trigger barrell
transition endcap
J/Ψ ms
Tag&probe
Performance“Soft muon”: a tracker track matched to at least one CSC or DT stub, to collect muons down to pT about 500 MeV in the endcaps (e.g. for J/Ψ)
“Tight muon”: a good quality track from a combined fit of the hits in the tracker and muon system, requiring signal in at least two muon stations to improve purity.
J/Ψ msTag&probe
J/Ψ msTag&probe
μ charge id•Cosmics ( track split and two
halves compared)
Mis-ID ~1%
Electrons,g and ECAL
ECAL triggerL1 5 GeV thresholdBarrell (50%) 5.6
GeVEndcap (50%)6.7
GeV
L1 8 GeV thresholdBarrell (50%) 8.9
GeVEndcap (50%) 10.8
GeV
HLT 15 GeV g efficiency vs Supercluster energy
reconstructed
ECAL TDR
and test beam exposure ( 25% of detector)confirmed the potential of the PbWO crystals
small constant term needed to detect narrow
gg resonances
but key point is crystal intercalibration :only 25% have been exposed to e beam
ECAL calibration:π0
Online π0 streams
comparison with e-beam
calibrated crystals
p0 combined with splashes and f symm Reaches 0.5 to 1.2 % depending on h in barrel
p0 250 nb-1
p0,splashes, f-symm 250 nb-1
ECAL energy scale
in the barrel the scale is now set by the π0 calibrationEB ~ 1% ….. EE
~ 3%
HCAL & Jets
HLT efficiencies: calo
Jets: just data
i.e. use μ-triggeredevents and
check turn-on curves on recojets without
any energy corr. Barrel
Endcap
Trigger : L1 E> 6GeV
Trigger : L1 E> 6GeV
Just data l
JES corrected
HLT Trigger : E> 15GeV
HLT Trigger : E> 15GeV
isolated part response
Particle flow jets
Down to pt=20 GeV and 5% Jet Energy
Scale
Jet Triggered Charged particle Spectra
Using Jet trigger it is possible to extend the momentum range of charged particle spectra
Cross sections scaled empirically by (√s)5.1
Missing Et
Events with isolated g
CALO TC-MET PF-MET
€
u|| = r u T ⋅r q T
u||
qT
= CMET (Q flavor,JES)
Missing recoil energy = Missing Et
correction factor (depends on Quark
flavor and JES)
qT distribution of g-jet candidates
b-Tagging
Data-MC comparison for b-tagging observables
DATA/MC ratio is
close to 1 for all
observables
Trigger requirements
Event rate
Selected eventsto archive
HLT input
Level-1 input
ON
-lineO
FF-line
Online requirementCollision rate 40 MHzEvent size 1 MbyteLevel 1 Trigger Input 40 MHzHLT trigger input 100 KHz
Mass storage rate 300 HzSystem Deadtime ~%In early phases: keep L1 rate
<70KHz (only 50% of Filter farm installed) and use
HLT trigger menus adapted to Luminosities to reduce logging
rate to <500 Hz
trigger• Name of the game: keep trigger as loose as
possible: new L1 and HLT menus ~every doubling of lumi ( LHC lumi doubling time has been ~10 days since start of collisions!)
Level 1 rates: predicted first
from MC and after first fills
extrapolated to higher Lumi.
Keep unprescaled single physics
object threshold compatible with total rate < 70
KHz+ lower threshold
multiplicity and isolation triggers
High Level Trigger• With initial luminosities L1 trigger 0-bias or prescaled min-bias
+ low threshold ‘objects’ (e.g. eγ > 5 GeV, Jets > 10 GeV, loose μ) to keep rate <70 KHz
• Adaptive HLT menus in steps of peak lumi: predicted from MC first and then extrapolated from earlier data taking
Conclusions• The goals set out by the CMS founding fathers
are close to be met: a feat we did not dreamed to be possible this early in the game
• CMS is more ready to produce physics than we ever expected
• What will be presented at this workshop are the measure of the quality of the detector and just an appetizer for the future
• Last but not least we salute the amazing performance of LHC
for (much) more details see : http://cdsweb.cern.ch/collection/CMS%20Physics%20Analysis%20Summaries?ln=en
Backup slides
A figure sums it allBest TOP production candidate
Top candidate Mass in the 160-220 GeV range
secondary vertex6σ ellipse
Tracker De/Dx
Trigger & DAQ
Event selection ~ µsec latency
TriggerData
Timing with beamUsed early fills to do detailed timing scans for calorimeters, CSC, pixel, tracker
Optimize delays for data pipelines and trigger primitive generation Good timing essential
for background rejection:e.g ECAL
Trigger synchronizationSynchronization initially defined from cosmics, beam splashes refined
with timing scansMonitored using Zero Bias and/or min bias:
Zero bias = trigger on coincidence of beam crossings(L1 trigger =0-bias while # on crossings/orbit was up to 8, ie. L1 rates
< 100 KHz
Low P resolution•Use Ks, Φ, J/Ψ to monitor/calibrate
vs (η,Pt)
Ks
Φ
Φ
J/Ψ
Use dE/dXto sel. K
In situ ECAL calib• Use γ from π0 decay and Φ symmetry
(assume that integrating over large # of min bias events the energy deposited in crystals at a given pseudorapidity is the same then use test beam pre-calibrated crystals to cross-calibrate various Φ rings) and beam-splashes
• For endcaps use beam-splash events form 2008-2009
• Compare with cosmics calibration and electron test beam pre-calibrated crystals to estimate precision
• Ultimate calibration will be W en events
Φ symmetry (EB)• 7 TeV data— 7 TeV MC
900
GeV
7 TeV
Syst < 0.5%
Missing Et
And pileup seems to be under control
Jet Energy scale• Jets are defined using 3 algos: calo only, Calo+ tracks, Particle flow +
anti Kt clustering with R = 0.5
• At start use MC to estimate corrections vs (η,pt)
• Then use data based methods: dijets pt balance and γ-jet events ( not used YET in physics analyses)
Corrects noise and
pileup
Effect of distribution
(vs η) of material and
detector structure
Corrects pt dependance due to non compensating
nature of CMS calorimeters
Calo-jets Calo+Trk (JPT) ParticleFlow-jets
PFJ rely less on’combined-calo’
65% Trk, 25% ECAL,
10% HCAL+ECAL
JES: dijet pt balance
18 <pt<31 GeV
70<pt<120 GeV
Calo-jets
JPT-jets
P-flow-jets
Calo-jets
JPT-jets
P-flow-jets
after relative response correction
(shown is error band of 2%⋅η
adopted inphysics analyses
The observed trend of higher response in data wrt MC for η>2 is consistent with what
is observed in single particle studies
JES: γ + jet• difficulty to define ‘single jet’: use Missing Et
Projection Fraction ( MPF) method (used by CDF)