e detector using ee conversion
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e detector using ee conversion Chih-hsiang Cheng Caltech - PowerPoint PPT Presentation

e detector using ee conversion Chih-hsiang Cheng Caltech Intensity Frontier Workshop Argonne, 2013/04/25 27 Motivation A limiting factor of e search is the photon energy resolution in calorimeter. A possible


  1. μ → e γ detector using γ → ee conversion Chih-hsiang Cheng Caltech Intensity Frontier Workshop Argonne, 2013/04/25 − 27

  2. Motivation • A limiting factor of μ → e γ search is the photon energy resolution in calorimeter. A possible solution is to reconstruct converted e + e − pair tracks, trading efficiency for better photon energy resolution. • Motivated by Fritz DeJongh’s talk at 2012 summer study, we thought we can use the Super B FastSim framework to take a look. 2 µ → e γ @ Intensity Frontier Chih-hsiang Cheng

  3. FastSim • Born from BABAR offline software framework. • Developed primarily for Super B ; extensively used for physics studies and detector optimization. • Detectors are modeled with 2D shells of cylinders, planes, and cones; configured by xml files, very easy and quick to modify. • Event 4-momenta are generated by EvtGen • Particle scattering, energy loss, secondary particles, etc. (Compton, Bremsstrahlung, conversion, EM/hadron showers), are simulated at the intersection of particle at each shell. • Tracks are reconstructed with a Kalman filter into piece-wise trajectories. No pattern recognition, but can artificially confuse hits to mimic inefficiencies. • High level physics candidates are built and analyzed with BABAR framework. 3 µ → e γ @ Intensity Frontier Chih-hsiang Cheng

  4. MEG • Current limit: using B ( µ + → e + γ ) < 5 . 7 × 10 − 13 3 . 6 × 10 14 stopped muons. • Background is dominated by accidentals. 58 (MeV) ! 56 E N acc ∝ R 2 µ × ∆ E γ 2 × ∆ P e × ∆Θ 2 e γ × ∆ t e γ × T 54 • Upgrade: target sensitivity ~ 6 × 10 − 14 52 based on ~ stopped muons. 3 . 3 × 10 15 50 48 50 51 52 53 54 55 56 E (MeV) e arxiv:1301.7225v2 2 (nsec) 1.5 ! e t 1 0.5 0 -0.5 -1 -1.5 -2 -1 -0.9995 -0.999 -0.9985 arxiv:1303.0754 cos " e ! 4 µ → e γ @ Intensity Frontier Chih-hsiang Cheng

  5. Detector geometry • Take note from Mu3e proposal. ✦ Similar event topology e + e + • Cylinders of thin silicon sensors • Thin cone-shape target e − • Scintillator timing devices. e + • We need to add a thick material to convert photons. e + e - Recurl pixel layers Scintillator tiles Inner pixel layers μ Beam Target Scintillating f bres Outer pixel layers arxiv:1301.6113v1 5 µ → e γ @ Intensity Frontier Chih-hsiang Cheng

  6. FastSim geometry 6 µ → e γ @ Intensity Frontier Chih-hsiang Cheng

  7. FastSim • 6 layers: R= 1.5, 2.3, 8.5, 9.3, 12.0, 13.0 cm • Si thickness= 50 μ m, plus 50 μ m kapton. • Pb photon converter, 0.56 mm thick (10% X 0 ) at R=8.0 cm. • “Target”, double-cone Aluminum. Z vertices at ±3cm; R=0.5 cm at z=0; thickness= 50 μ m, to simulate the effect of target. ✦ Muons decay just inside the surface of the target. • Polar angle coverage: [0.2, π− 0.2] rad • B Field= 1.0 T • Silicon layers are modeled after Super B double-sided striplets. ✦ Hit resolution: 8 μ m, plus some fraction of a 20 μ m tail. ✦ Hit efficiency: 99%. 7 µ → e γ @ Intensity Frontier Chih-hsiang Cheng

  8. Event display Thin red curves: generated helices; magenta curves: fitted trajectories 8 µ → e γ @ Intensity Frontier Chih-hsiang Cheng

  9. Analysis • Generate 10 6 μ + → e + γ uniformly under the surface of target. • BABAR algorithm to find/vertex converted γ → e + e − pairs. • Extrapolate primary e+ onto the target surface; use the intersection to constrain the muon candidate decay vertex. • ~1.8% are reconstructed. 9 µ → e γ @ Intensity Frontier Chih-hsiang Cheng

  10. Positron momentum 10 µ → e γ @ Intensity Frontier Chih-hsiang Cheng

  11. Photon energy 11 µ → e γ @ Intensity Frontier Chih-hsiang Cheng

  12. Positron momentum resolution • Selection: |cos θ e |<0.7; |cos θ γ |<0.7; − 3< φ e <0; φ γ >0 • Efficiency ~ 1.25%. 12 µ → e γ @ Intensity Frontier Chih-hsiang Cheng

  13. Photon energy resolution 13 µ → e γ @ Intensity Frontier Chih-hsiang Cheng

  14. Muon mass resolution 14 µ → e γ @ Intensity Frontier Chih-hsiang Cheng

  15. Angular resolution • Large φ e γ resolution may be due to confusion of muon vertex constraint; there are two intersection on the target for each track. 15 µ → e γ @ Intensity Frontier Chih-hsiang Cheng

  16. Summary • We use Super B FastSim and BABAR framework to study a conceptual design of a detector for μ + → e + γ ( → e + e − ) • Comparison with MEG, MEG TABLE XI: Resolution (Gaussian σ ) and e ffi ciencies for MEG upgrade PDF parameters Present MEG Upgrade scenario upgrade and Mu3e. e + energy (keV) 306 (core) 130 e + θ (mrad) 9.4 5.3 e + φ (mrad) 8.7 3.7 e + vertex (mm) Z / Y (core) 2.4 / 1.2 1.6 / 0.7 This work MEG γ energy (%) ( w < 2 cm) / ( w > 2 cm) 2.4 / 1.7 1.1 / 1.0 p e 200 keV 305 keV γ position (mm) u / v / w 5 / 5 / 6 2.6 / 2.2 / 5 E γ 0.37% 1.7 − 2.4 % γ -e + timing (ps) 122 84 E ffi ciency (%) m e γ 340 keV trigger ≈ 99 ≈ 99 9/33 mrad 9 mrad φ e γ 63 69 γ 10 mrad 16 mrad θ e γ e + 40 88 arxiv:1301.7225v2 efficiency 1.25% 2 RMS: 0.42 MeV/c 1600 2 : 0.24 MeV/c ! 1400 1 2 : 0.51 MeV/c ! 1200 2 Mu3e phase II 2 : 0.34 MeV/c ! 1000 av muon mass 800 600 400 200 arxiv:1301.7225v2 0 102 103 104 105 106 107 108 109 110 2 Reconstructed Mass [MeV/c ] 16 µ → e γ @ Intensity Frontier Chih-hsiang Cheng

  17. To do • Add timing devices (scintillator). • Model/generate background (accidentals, radiative muon decays, etc.) • Optimize target shape (longer, narrower, other geometries). • Tune tracking/reconstruction algorithms ( BABAR tracking is optimized for higher momentum and non-loopers) • Explore active target options. • Optimize geometry (arch to reduce multiple scattering?) 580 mm Space Frame 100 mm Bkwd. support cone 20 mm 11.3° 520 mrad 350 mrad Fwd. support cone - 30 μ m Al 80 μ m Al + e e Front end electronics Beam Pipe Mu3e target arxiv:1301.7225v2 BABAR SVT 17 µ → e γ @ Intensity Frontier Chih-hsiang Cheng

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