Status Report of The CMS Experiment Christos Leonidopoulos

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Status Report of The CMS Experiment Christos Leonidopoulos CERN-PH on behalf of the CMS

Status Report of The CMS Experiment Christos Leonidopoulos CERN-PH on behalf of the CMS Collaboration 102 nd LHCC Meeting, CERN 7 July 2010

The Collaboration AACHEN-1, AACHEN-3 A, AACHEN-3 B, ADANA-CUKUROVA, ANKARA-METU, ANTWERPEN, ATHENS, ATOMKI, AUCKLAND, BARI,

The Collaboration AACHEN-1, AACHEN-3 A, AACHEN-3 B, ADANA-CUKUROVA, ANKARA-METU, ANTWERPEN, ATHENS, ATOMKI, AUCKLAND, BARI, BEIJING-IHEP, BOGAZICI, BOLOGNA, BOSTON-UNIV, BRISTOL, BROWN-UNIV, BRUNEL, BRUSSEL-VUB, BRUXELLES-ULB, BUDAPEST, CALTECH, CANTERBURY, CARNEGIE-MELLON, CATANIA, CCCSUWE, CERN, CHANDIGARH, CHEJU, ILLINOIS-CHICAGO, CHONNAM, CHUNGBUK, CHUNGLI-NCU, COLORADO, CORNELL, DEBRECEN-IEP, DELHI-UNIV, DEMOKRITOS, DESY, DONGSHIN, DUBLIN-UCD, DUBNA, EINDHOVEN, FAIRFIELD, FERMILAB, FIRENZE, FLORIDA-FIU, FLORIDA-STATE, FLORIDA-TECH, FLORIDA-UNIV, FRASCATI, GENOVA, GHENT, HAMBURG-UNIV, HEFEI-USTC, HELSINKI-HIP, HELSINKI-UNIV, HEPHY, IOANNINA, IOWA, IPM, ISLAMABAD-NCP, JOHNS-HOPKINS, KANGWON, KANSAS-STATE, KANSAS-UNIV, KARLSRUHE-IEKP, KHARKOVISC, KHARKOV-KIPT, KHARKOV-KSU, KONKUK-UNIV, KOREA-UNIV, KYUNGPOOK, LAPPEENRANTA-LUT, LIP, LIVERMORE, LONDON-IC, LOUVAIN, LYON, MADRID-CIEMAT, MADRID-UNIV, MARYLAND, MEXICOIBEROAM, MEXICO-IPN, MEXICO-PUEBLA, MEXICO-UASLP, MILANO-BICOCCA, MINNESOTA, MINSK-INP, MINSKNCPHEP, MINSK-RIAPP, MINSK-UNIV, MISSISSIPPI, MIT, MONS, MOSCOW-INR, MOSCOW-ITEP, MOSCOWLEBEDEV, MOSCOW-MSU, MOSCOW-RDIPE, MUMBAI-BARC, MYASISHCHEV, NAPOLI, NEBRASKA, NICOSIA-UNIV, NORTHEASTERN, NORTHWESTERN, NOTRE DAME, NUST, OHIO-STATE, OVIEDO, PADOVA, PAVIA, PEKING-UNIV, PERUGIA, PISA, POLYTECHNIQUE, PRINCETON, PROTVINO, PSI, PUERTO RICO, PURDUE-CALUMET, RAL, RICE, RIO-CBPF, RIO-UERJ, ROCHESTER, ROCKEFELLER, ROMA-1, RUTGERS, SACLAY, SANTANDER, SAO PAULO, SEONAM, SEOUL-EDU, SEOUL-SNU, SHANGHAI-IC, SKK-UNIV, SOFIA-CLMI, SOFIA-INRNE, SOFIAUNIV, SPLIT-FESB, SPLIT-UNIV, ST-PETERSBURG, STRASBOURG, SUNY-BUFFALO, TAIPEI-NTU, TALLINN, TASHKENT, TBILISI-IHEPI, TBILISI-IPAS, TENNESSEE, TEXAS-TAMU, TEXAS-TECH, TIFR-EHEP, TIFR-HECR, TORINO, TRIESTE, UCDAVIS, UCLA, UC RIVERSIDE, UC SANTA BARBARA, UC SAN DIEGO, UNIANDES, VANDERBILT, VILNIUS-ACADEMY, VILNIUS-UNIV, VINCA, VIRGINIA-TECH, VIRGINIA-UNIV, WARSAW-IEP, WARSAW-INS, WARSAW-ISE, WAYNE, WISCONSIN, WONKWANG, YEREVAN, ZAGREB-RUDJER, ZURICH-ETH, ZURICH-UNIV • 182 Institutions • 3000 scientists and engineers • 2000 Authors 2

Reminder: we went from this… 3. 8 T Superconducting Solenoid Lead tungstate E/M Calorimeter

Reminder: we went from this… 3. 8 T Superconducting Solenoid Lead tungstate E/M Calorimeter (ECAL) Hermetic (|η|<5. 2) Hadron Calorimeter (HCAL) [scintillators & brass] All Silicon Tracker (Pixels and Microstrips) Redundant Muon System (RPCs, Drift Tubes, Cathode Strip Chambers) 3

…to this First 7 Te. V collisions in CMS – 30 March 2010

…to this First 7 Te. V collisions in CMS – 30 March 2010

…and this, just three months later

…and this, just three months later

Life did not begin in a vacuum with the first collisions

Life did not begin in a vacuum with the first collisions

One Billion Cosmic Muons before collisions 7

One Billion Cosmic Muons before collisions 7

23 JINST papers: March 2010 (Vol. 5) Feedback into realistic simulation to help us

23 JINST papers: March 2010 (Vol. 5) Feedback into realistic simulation to help us prepare for collisions 8

Detector understanding • “Why should we believe that the simulation correctly describes the detector

Detector understanding • “Why should we believe that the simulation correctly describes the detector performance? ” • Excellent question! • Te. Vatron experience: it takes a long time to commission & understand collider experiments ØAccelerator, detector, trigger, background, underlying event, software: very complicated problems Claim: • Cosmic runs/beam tests have made a difference • First data distributions agree well with simulation 9

From data-taking to the plots CMS is still in the commissioning phase • Hard

From data-taking to the plots CMS is still in the commissioning phase • Hard work, long hours • Despite early phase and complexity of experiment Ø Unprecedented levels of readiness Ø Very encouraging first results • But: Ø Always problems seeking solutions Ø Hardest part is ahead of us 10

Operations

Operations

Integrated luminosity L≈ 1030 cm-2 s-1 L≈ 1027 -1029 cm-2 s-1 7 h( T

Integrated luminosity L≈ 1030 cm-2 s-1 L≈ 1027 -1029 cm-2 s-1 7 h( T ): V e arc (*) ) f M red % o e (~88 d v n i e e -1 del ded c Sin nb ecor 0 r 10 nb-1 88 (*) Stable beams only • ~3/4 of data recorded arrived in last 10 days • Working hard to integrate full datasets for ICHEP • Most performance plots use only fraction of data 12

Subdetectors status PIXEL TRACKER STRIP TRACKER PRE-SHOWER ECAL END-CAP ECAL BARREL HCAL FORWARD HCAL

Subdetectors status PIXEL TRACKER STRIP TRACKER PRE-SHOWER ECAL END-CAP ECAL BARREL HCAL FORWARD HCAL ENDCAP HCAL BARREL MUON-RPC MUON-DT MUON-CSC 90 91 92 93 94 95 96 HCAL ECAL MUON- HCAL ECAL FORWA ENDCSC DT RPC BARREL ENDCAP BARREL RD CAP Series 1 98. 5 99. 8 98. 8 99. 9 100 99. 9 99. 3 98. 9 97 STRIP 98 PIXEL 99 PRESHOWE TRACKE R R R 99. 8 98. 1 98. 2 100 Alignment/calibration status, dead/masked channels mirrored in MC 13

“The Trigger does not determine which Physics Model is Right. Only which Physics Model

“The Trigger does not determine which Physics Model is Right. Only which Physics Model is Left. ”

DAQ/Trigger • L 1/DAQ rate: 45 k. Hz, @<0. 5 MB/evt • High-Level Trigger:

DAQ/Trigger • L 1/DAQ rate: 45 k. Hz, @<0. 5 MB/evt • High-Level Trigger: have successfully deployed online trigger menus spanning luminosities from 1 E 27 through 2 E 30 o Very smooth running throughout (200 -400 Hz) • HLT CPU-performance: 49 ms/evt o Primary contributors: commissioning and early analysis triggers Run 138737 o Contingency: factor of 2 Overflows taken into o Constantly on watch list account in the mean 15

Trigger Performance • HLT muon efficiency wrt L 1 • L 1 objects matched

Trigger Performance • HLT muon efficiency wrt L 1 • L 1 objects matched to offline objects • ~90% efficiency at the plateau • Photon efficiency wrt offline “super clusters” • For barrel & endcaps • Nearly 100% efficient 16

Predicting trigger rates: MC vs. data “Building trigger menus 101” 17

Predicting trigger rates: MC vs. data “Building trigger menus 101” 17

Predicting trigger rates: MC vs. data Monte Carlo: • Only used as a cross-check

Predicting trigger rates: MC vs. data Monte Carlo: • Only used as a cross-check at this point • Some trigger paths have significant cosmic or noise distributions that are not modeled with “baseline” MC • Still, impressive agreement overall Using MC to cross-check 4. 6 E 29 rates 18

Predicting trigger rates: MC vs. data Data: • Most triggers exhibit fairly linear behavior

Predicting trigger rates: MC vs. data Data: • Most triggers exhibit fairly linear behavior vs. luminosity • Extrapolation errors minimized by using most recent data to keep the rate non-linearities under control • Rates of all main players are predicted within ~20% Using 1. 2 E 29 rates to predict 4. 6 E 29 rates 19

Calibration Trigger Streams • Calibration triggers have access to full L 1 rate, and

Calibration Trigger Streams • Calibration triggers have access to full L 1 rate, and they output small fraction of event • Feature unique to CMS HLT • Calibration starts online! 20

Trigger calibration streams • Calibration triggers have access to full L 1 rate, and

Trigger calibration streams • Calibration triggers have access to full L 1 rate, and they output small fraction of event • π0 peak reconstructed offline 200 seconds into 7 Te. V run 30 March 2010 21

LHC has delivered Trigger has accepted CMS will analyze 22

LHC has delivered Trigger has accepted CMS will analyze 22

Analysis Activity Routinely delivering 100 k jobs per day October 09 MC Exercise 7

Analysis Activity Routinely delivering 100 k jobs per day October 09 MC Exercise 7 Te. V data Winter Break 10 -20 k analysis jobs running on Tier-2 s continuously every day of June 23

Physics production

Physics production

3+1 CMS papers since May 25

3+1 CMS papers since May 25

CMS paper at 7 Te. V “Transverse Momentum and Pseudorapidity Distributions of Charged Hadrons

CMS paper at 7 Te. V “Transverse Momentum and Pseudorapidity Distributions of Charged Hadrons in pp Collisions at √s=7 Te. V”, submitted to PRL • Rise of the particle density at (2. 36) 7 Te. V steeper than in models • Careful tuning effort of the MC generators is ongoing 26

Detector & Physics Performance Calorimetry Tracking Jets b-tagging Muon EWK/Onia Particle Flow Electron EWK/Onia

Detector & Physics Performance Calorimetry Tracking Jets b-tagging Muon EWK/Onia Particle Flow Electron EWK/Onia

Detector & Physics Performance Calorimetry Tracking Jets b-tagging Muon EWK/Onia Particle Flow Electron EWK/Onia

Detector & Physics Performance Calorimetry Tracking Jets b-tagging Muon EWK/Onia Particle Flow Electron EWK/Onia

Calorimetry: π0 and η → γγ MC based correction applied according to cluster η

Calorimetry: π0 and η → γγ MC based correction applied according to cluster η and energy 1. 46 M of π0 → γγ PT(γ) > 0. 4 Ge. V, PT(pair) > 1 Ge. V DATA MC 0. 43 nb-1 1. 46 M π0 25. 5 K η → γγ PT(γ) > 0. 5 Ge. V, PT(pair) > 2. 5 Ge. V DATA MC 0. 43 nb-1 25. 5 k η • Statistics refer to < 0. 5 nb-1 • Very useful tool to intercalibrate the crystals • Good agreement in width and Signal/Background ratio • Masses agree with expectations to within 1% 29

Calorimetry: Missing ET Calorimetric MET (Ge. V) Jets reconstructed with the anti-k. T R=0.

Calorimetry: Missing ET Calorimetric MET (Ge. V) Jets reconstructed with the anti-k. T R=0. 5 algorithm • Dijet selection : Jet PΤ > 25 Ge. V, Δφ > 2. 1, |η| < 3 • Loose ID cuts on number of components and neutral/charged energy fraction • 30

Detector & Physics Performance Calorimetry Tracking Jets b-tagging Muon EWK/Onia Particle Flow Electron EWK/Onia

Detector & Physics Performance Calorimetry Tracking Jets b-tagging Muon EWK/Onia Particle Flow Electron EWK/Onia

Calorimetric di-jet events s t je Di s a m Δφ(j 1, j 2)

Calorimetric di-jet events s t je Di s a m Δφ(j 1, j 2) # of Calo Towers Fraction of EM energy in Calo-Jets 32

Detector & Physics Performance Calorimetry Tracking Jets b-tagging Muon EWK/Onia Particle Flow Electron EWK/Onia

Detector & Physics Performance Calorimetry Tracking Jets b-tagging Muon EWK/Onia Particle Flow Electron EWK/Onia

Tracking distributions

Tracking distributions

Muon distributions “Global Muons”: matched tracks from Muon system and Tracker Global Muons •

Muon distributions “Global Muons”: matched tracks from Muon system and Tracker Global Muons • η and p. T distributions dominated by light hadron decay muons (red) • good agreement with MC prediction, including o heavy flavor decays (blue) o punch-through (black) o fakes (green) 35

Tracking distributions η distribution φ distribution p. T spectrum 36

Tracking distributions η distribution φ distribution p. T spectrum 36

Tracker Material Budget η distribution φ distribution 37

Tracker Material Budget η distribution φ distribution 37

Tracker Material Budget η distribution φ distribution pixel cluster charge 38

Tracker Material Budget η distribution φ distribution pixel cluster charge 38

Tomography 39

Tomography 39

Detector & Physics Performance Calorimetry Tracking Jets b-tagging Muon EWK/Onia Particle Flow Electron EWK/Onia

Detector & Physics Performance Calorimetry Tracking Jets b-tagging Muon EWK/Onia Particle Flow Electron EWK/Onia

b-tagging 3 D IP significance 3 D impact parameter value and significance all tracks

b-tagging 3 D IP significance 3 D impact parameter value and significance all tracks with p. T> 1 Ge. V belonging to jets with p. T > 40 Ge. V and |η| < 1. 5 - PFlow Jets anti-k. T R=0. 5) Excellent alignment and general tracking performance 41

b-tagging example Two b-jets candidate 42 42

b-tagging example Two b-jets candidate 42 42

CMS experiment at LHC, CERN Run 136100 / Event 256858438 2010 -25 -5 03:

CMS experiment at LHC, CERN Run 136100 / Event 256858438 2010 -25 -5 03: 48 CEDT B- → J/y. K- candidate

CMS experiment at LHC, CERN Run 136100 / Event 256858438 2010 -25 -5 03:

CMS experiment at LHC, CERN Run 136100 / Event 256858438 2010 -25 -5 03: 48 CEDT B- → J/y. K- candidate All other tracks: p. T > 1. 0 Ge. V/c

Detector & Physics Performance Calorimetry Tracking Jets b-tagging Muon EWK/Onia Particle Flow Electron EWK/Onia

Detector & Physics Performance Calorimetry Tracking Jets b-tagging Muon EWK/Onia Particle Flow Electron EWK/Onia

Particle Flow • Particle Flow: Full Event reconstruction Ø Topological matching between charged particle

Particle Flow • Particle Flow: Full Event reconstruction Ø Topological matching between charged particle momenta measured with tracker with clusters in calorimeter Ø Corrects for energy loss along trajectories Ø Better precision, full event info • High-level object: requires holistic detector view Ø Excellent tracker Ø High E/M calorimeter granularity (0. 017 × 0. 017) Ø Strong magnetic field to separate tracks • CMS very well suited for P-Flow reconstruction 46

Particle Flow MET 47

Particle Flow MET 47

Particle Flow MET Laser forgotten on Need cleaning strategies developed based on timing constraints

Particle Flow MET Laser forgotten on Need cleaning strategies developed based on timing constraints 48

Particle Flow MET Comparison between calorimetric and Particle-Flow MET (Minimum bias events) 49

Particle Flow MET Comparison between calorimetric and Particle-Flow MET (Minimum bias events) 49

Detector & Physics Performance Calorimetry Tracking Jets b-tagging Muon EWK/Onia Particle Flow Electron EWK/Onia

Detector & Physics Performance Calorimetry Tracking Jets b-tagging Muon EWK/Onia Particle Flow Electron EWK/Onia

J/ψ → μ+μ− 56 nb-1 Signal events: 4150 ± 222 Sigma: 43. 1 ±

J/ψ → μ+μ− 56 nb-1 Signal events: 4150 ± 222 Sigma: 43. 1 ± 1. 9 (stat. ) Me. V M 0 : 3. 094 ± 0. 001 (stat. ) Ge. V S/B= 5. 2 χ2/Νdof = 1. 0 Ongoing studies: • Momentum scale corrections by studying mass as a function of η, p. T (material budget) • Efficiency studies with tag-n-probe • Flight distance with determination of prompt and b→J/ψ + Χ terms 51

J/ψ → μ+μ− : The Best Of 56 nb-1 Selection of central (barrel), high-quality

J/ψ → μ+μ− : The Best Of 56 nb-1 Selection of central (barrel), high-quality dimuons: • Resolution: 43. 1 Me. V → 21. 0 Me. V 52

J/ψ → μ+μ− plus friends 60 nb-1 53

J/ψ → μ+μ− plus friends 60 nb-1 53

J/ψ → μ+μ− plus friends 60 nb-1 Not enough statistics to disentangle all resonances

J/ψ → μ+μ− plus friends 60 nb-1 Not enough statistics to disentangle all resonances (yet) 54

W± →μ±ν observation • Event selection: Ø Muon id cuts Ø Isolation, p. T

W± →μ±ν observation • Event selection: Ø Muon id cuts Ø Isolation, p. T and MET cuts • Monte Carlo: Event count normalized to integrated luminosity # of candidate (MT > 50 Ge. V) = 137 # of expected signal (MT > 50 Ge. V) = 128 # of expected background (MT > 50 Ge. V) = 7 W→μν candidate 37 nb-1 55

Z →μ+μ− observation • Event selection: Ø Muon id cuts Ø Loose isolation, p.

Z →μ+μ− observation • Event selection: Ø Muon id cuts Ø Loose isolation, p. T cuts • Monte Carlo: Event count normalized to integrated luminosity #of candidate = 25 #of expected signal = 24. 7 #of expected background = 0. 08 Z→μμ candidate 60 nb-1 56

Detector & Physics Performance Calorimetry Tracking Jets b-tagging Muon EWK/Onia Particle Flow Electron EWK/Onia

Detector & Physics Performance Calorimetry Tracking Jets b-tagging Muon EWK/Onia Particle Flow Electron EWK/Onia

J/ψ → e+e− 37 nb-1 Signal events: 132 ± 14 Sigma: 98 ± 12

J/ψ → e+e− 37 nb-1 Signal events: 132 ± 14 Sigma: 98 ± 12 (stat. ) Me. V M 0 : 3. 070± 0. 013 (stat. ) Ge. V • • • Higher background, tighter selection compared to muon channel Challenging analysis, Particle-Flow selection crucial Very promising preliminary results, signal clearly established 58

W± →e±ν observation Two event selections: Ø Basic electron ID, no MET cuts Ø

W± →e±ν observation Two event selections: Ø Basic electron ID, no MET cuts Ø More advanced electron ID, cuts on ET, MET, ΣET 196 candidates with MT > 50 Ge. V MC: Sig =176, Bkg =11 173 candidates with MT > 50 Ge. V MC: Sig=163, Bkg=5 51 nb-1 59

Z →e+e− observation • Event selection: Ø Two electrons with ET > 20 Ge.

Z →e+e− observation • Event selection: Ø Two electrons with ET > 20 Ge. V • Monte Carlo: Event count normalized to integrated luminosity #of candidate = 18 #of expected signal = 19 #of expected background = 0. 8 Z→ee candidate 52 nb-1 60

Summary

Summary

7 Te. V collisions: a very exciting run! • The CMS detector is working

7 Te. V collisions: a very exciting run! • The CMS detector is working according to design Ø First performance results are very encouraging Ø Its behavior can be reproduced in Monte Carlo simulation Ø Our level of understanding for this early commissioning phase is very advanced • The “rediscovery” of the SM has begun • We are setting the grounds for challenging it as early as the end of 2010 62

Epilogue • The technology of the LHC accelerator and experiments is unprecedented • Massive

Epilogue • The technology of the LHC accelerator and experiments is unprecedented • Massive amount of work and preparation invested in building and commissioning hardware & software • But: we do not forget that the real challenges are still ahead (for all of us) • We should consider this truly exciting period as the beginning of a marathon 63

The Beginning of The Journey Credit for “Da Vinci” drawings: Sergio Cittolin Credit for

The Beginning of The Journey Credit for “Da Vinci” drawings: Sergio Cittolin Credit for material used in this talk: LHC, CMS

Backup 65

Backup 65

The CMS Detector Superconducting Coil, 4 Tesla CALORIMETERS HCAL ECAL Plastic scintillator/brass 76 k

The CMS Detector Superconducting Coil, 4 Tesla CALORIMETERS HCAL ECAL Plastic scintillator/brass 76 k scintillating Pb. WO 4 crystals sandwich Steel YOKE TRACKER Pixels Silicon Microstrips 210 m 2 of silicon sensors 9. 6 M (Strip) & 66 M (Pixel) channels MUON BARREL Resistive Plate Drift Tube Chambers (DT) (RPC) MUON ENDCAPS Cathode Strip Chambers (CSC) Resistive Plate Chambers (RPC) 66

Muon p. T resolution with cosmics 1 B events of (mostly muon) cosmic events

Muon p. T resolution with cosmics 1 B events of (mostly muon) cosmic events collected make muons the best understood reconstructed object in CMS Compare muon p. T in upper, lower detector halves to evaluate resolution 12% resolution at 1 Te. V 67

0 πs and ECAL calibration π0 → γγ η, Φ distributions Relative calibration precision

0 πs and ECAL calibration π0 → γγ η, Φ distributions Relative calibration precision ~ 2% target ~ 0. 5% at 10 pb-1 ECAL Barrel π0 and Φ symmetry

HLT: CPU performance & pile-up • First look at impact of pileup on CPU-performance

HLT: CPU performance & pile-up • First look at impact of pileup on CPU-performance 1 coll/bunch 2 coll/bunch • Have deployed “multiple-vertex” trigger to facilitate pile-up studies with real data 69

J/ψ → μ+μ− • Run range: 132440 -139370 • Common selection: Ø No scraping

J/ψ → μ+μ− • Run range: 132440 -139370 • Common selection: Ø No scraping Ø Tracker Muons of opposite charge Ø Pixel layers >= 2 Ø Tracker hits >= 12 Ø Tracker chi 2 < 3 Ø Mu p. T > 2. 5 Ø Mu segments >=2 Ø Matched L 1 Double. Mu. Open Ø vertex Prob > 0. 05 70

Run 136100, Event 256858438 • Measured Parameters: 3 -trk vertex that is displaced from

Run 136100, Event 256858438 • Measured Parameters: 3 -trk vertex that is displaced from the PV by 2 mm (18 s). Our background is dominated by real J/y Dimuon mass in data (points) compared to MC (hist)