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An Overview of the CMS ECAL with Applications to HEP Analysis Daniel Klein Thursday Pizza Lecture 11/14/2013 Outline I. Motivation 1. What is an ECAL? 2. Design requirements for CMS ECAL II. Design 1. Materials 2. Crystal geometry


  1. An Overview of the CMS ECAL with Applications to HEP Analysis Daniel Klein Thursday Pizza Lecture 11/14/2013

  2. Outline I. Motivation 1. What is an ECAL? 2. Design requirements for CMS ECAL II. Design 1. Materials 2. Crystal geometry 3. Large-scale geometry III. Measurement 1. Superclustering 2. Triggers 3. Particle reconstruction and selection 14-Nov-2013 2

  3. Motivation 14-Nov-2013 3

  4. What is an ECAL? What does it do? ● Stands for Electromagnetic CALorimeter ● Used to measure the energy of electrons/positrons and photons, and (indirectly) their parent particles ● Help with identification of EM particles (more on this later) ● Help determine (rough) positions of EM particles, in conjunction with tracker 14-Nov-2013 4

  5. Some physics goals that influenced CMS ECAL design ● Higgs search – H → γγ dominant decay mode for 114 GeV < m H < 130 GeV – H → ZZ → 4ℓ the “mode of choice” for 2m Z < m H < 600 GeV ● SUSY searches – GMSB: LSP → + γ (expect lots of hard photons) – / → γ + jets ● New vector bosons – Z' → ee ● Lots and lots of standard model physics 14-Nov-2013 5

  6. Technical Requirements From TDR: Summary of ECAL requirements in order to meet LHC physics program goals: ● “Good” electromagnetic energy resolution ● ee and γγ mass resolution of ~1% at 100 GeV ● Coverage out to |η| = 2.5 ● Measurement of γ direction, or PV localization ● Rejection of π 0 ● Efficient photon and lepton isolation at high luminosity 14-Nov-2013 6

  7. Design 14-Nov-2013 7

  8. Materials ● Primary detection material: lead-tungstate crystals (PbWO 4 ) – Radiation length X 0 = 0.89 cm Recall: – Moliere radius R M = 2.2 cm – Fast: 80% of light emitted within 25ns. Comparable to bunch-crossing time. – Radiation-hard – up to 10 Mrad – Emit blue-green scintillation light peaking at ~420 nm ● Photodetectors ● Endcap also has preshower detector – Stuck onto the back of each crystal – Sits just inside endcap crystal array – Barrel: silicon avalanche photodiodes – Sampling calorimeter (APDs) – (Lead “radiator” + silicon strip sensors) * – Endcap: vacuum phototriodes (VPTs) 2 layers 14-Nov-2013 8

  9. Crystal geometry/resolution ● Reminder: ● Crystals shaped like truncated pyramids ● Barrel section: – Rad. length X 0 = 8.9 mm – Made of 61,200 crystals – Front face: 22x22mm = 1x1 R M ~ 1°x1° – Moliere radius R M = 22 mm – Length: 230mm = 25.8 X 0 – Most energy (~94%) from a single particle will be contained in 3x3 crystals ● Endcap section: – 2x endcaps, containing 7324 crystals each – Front face: 28.6x28.6mm = 1.3x1.3 R M – Length: 220mm = 24.7 X 0 – Most energy from a particle will be contained in 3x3 crystals 14-Nov-2013 9

  10. Energy Resolution (In case you're not sick of this plot yet...) → Comes from electron test-beam studies on a supermodule. 14-Nov-2013 10

  11. Large-scale geometry: Barrel ● Range: 0 ≤ |η| ≤ 1.479 ● Inner radius: 1.29 m ● 61,200 crystals = 360 around * 170 lengthwise ● 5x2 crystals in a “submodule” – Each submodule matches up with a trigger tower in η and φ ● Submodules arranged into modules ● 4 modules (85x20 crystals) in one “supermodule” – Each covers ½ the length in η and 20° in φ (36 total) ● Crystal axes point 3° away from nominal interaction point 14-Nov-2013 11

  12. Large-scale geometry: Endcaps ● Range: 1.479 ≤ |η| ≤ 3.0 ● Set back 3.14 m from nominal interaction point ● Each endcap made of two “Dees,” 3662 crystals per dee ● Crystals are arranged in 5x5 “supercrystals” – Each dee holds 138 supercrystals and 18 partial supercrystals ● Supercrystals arranged in an x-y grid, NOT an η-φ grid. ● Crystal axes point to a spot 1.3 m past the nominal interaction point 14-Nov-2013 12

  13. Particle Reconstruction 14-Nov-2013 13

  14. ECAL superclustering ● Photon conversion and electron bremsstrahlung cause shower to be spread out in φ direction. – Form “superclusters” - clusters of clusters, with some spread in φ ● Hybrid algorithm: start with a “bar” 3-5 crystals wide in η, then search dynamically in φ for more deposits – Works well for high-energy electrons in barrel ● Island algorithm: start with one crystal, then keep adding adjacent crystals with energy deposits until you form a cluster – Add nearby clusters (within a narrow η window, broader φ window) to form a supercluster – Works well when small, isolated clusters are needed ● Use log(energy)-weighted averaging to find center of a cluster 14-Nov-2013 14

  15. Supercluster examples Probably island algorithm Probably hybrid algorithm 14-Nov-2013 15

  16. Triggers ● Level 1 trigger: E T threshold, applied to superclusters that match in η and φ with a trigger tower – 50% efficiency levels: single isolated: 23 GeV, double isolated: 12 GeV, double non-isolated: 19 GeV – Isolation determined from HCAL and tracker ● High-level trigger (HLT) selection has three sub-levels: – Level 2: an E T cut on ECAL superclusters – Level 2.5: Look for pixel hits in tracker consistent with an electron (positron) hypothesis – Level 3: If passing level 2.5, use full tracker info (including tracker isolation) to attempt to match tracks to ECAL deposit ● If a deposit doesn't pass the level 2.5 trigger, it can still be used as a photon candidate ● Object-specific HLT cuts: 14-Nov-2013 16

  17. Photon Reco & Selection ● Energy is a sum over 5x5 cluster, or hybrid supercluster (EB), or island supercluster (EE) ● 3 tracker-based isolation variables used, based on sum pT, angle, or number of tracks within some cone size of ECAL cluster – Used to reject photons from charged π or k ● 4 ECAL isolation variables used, based on energy deposited in a certain cone size around supercluster, or on R9 (E 3x3 / E supercluster ) – Used to reject photons from π 0 ● HCAL isolation based on simple sum of HCAL E T in a cone around ECAL supercluster – Used to reject photons from jets – H/E variable shows worse performance than simple sums in HCAL ● Variables from multiple subsystems are also combined using neural networks ● Also use tracks to reject photons that converted 14-Nov-2013 17

  18. Electron (positron) Reco & Selection ● Bremsstrahlung spreads out electron energy in φ – Brem photons can even convert in tracker – Electron energy best measured using superclusters, not NxN windows ● Electron ID makes heavy use of tracker information, including isolation, E/p, primary vertex reconstruction, etc. – Another slideshow unto itself (Liam) ● Shower shape variables used in electron ID include: σ ηη , Σ 9 /Σ 25 ● HCAL isolation used to reject electron candidates coming from jets 14-Nov-2013 18

  19. Example (ECAL-based) cuts from CMS2 NtupleMacros/CORE/ NtupleMacros/CORE/ electronSelections.cc photonSelections.cc ● electronIsolation_ECAL_rel_v1 ● cms2.photons_ecalIso03 < < 0.20 [pt-dependent threshold] ● Transition region veto (reject ● Barrel-only (η < 1.479) 1.442 < η < 1.556) ● cms2.photons_hOverE < 0.05 ● cms2.els_hOverE < 0.15 ● cms2.photons_sigmaIEtaIEta < ● cms2.els_eOverPIn > 0.95 0.013 14-Nov-2013 19

  20. Summary ● CMS requires an efficient, high-precision electromagnetic calorimeter ● This requirement was met by designing an ECAL made mostly of lead-tungstate crystals, with scintillation light read out by photodiodes/triodes – Crystals have short radiation length and Moliere radius, allowing fine resolution in eta and phi ● Energy deposits are collected into (super)clusters, the basic blocks of energy measurement ● Measurements from other detector subsystems aid in ID and selection of electrons and photons 14-Nov-2013 20

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