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This text discusses the simulation of the e+e−→W+W− process at √s=800 GeV using SLAC-Gismo and MOKKA-GEANT4. It focuses on jet reconstruction and energy resolutions in ECAL and HCAL systems. Key points include the importance of reducing confusion between particles, maximizing segmentation, and using 3D reconstruction algorithms. The text expands on the CALICE project's studies and implications for electron and photon identification. It also touches on ongoing efforts concerning calorimeter performance evaluation and particle separation techniques.
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Performances studies of the calorimeter/muon det. e+e–W+W–at s=800 GeV Simulation SLAC-Gismo SimulationMOKKA-GEANT4 Visualisation FANAL CALICE The paradigm in 2002: the jet reconstruction is the key point
jet(s) or di-jet ? View for W-Si ECAL and Digital HCAL e+e‒W+W– à s=800 GeV zoom Calorimeter jet view
Ejet =Echarged track+E+Eh0 fraction 65%26%9% A typical jet Large multiplicity of low/medium energy particles The strategy Individual reconstruction of each particle by topology(Bubbles chamber) Improperly called Energy Flow 2 jet =2ch. +2 +2 h0++ 2confusion 2threshold Adapted from Dean Karlen dominant contributions For a track momentum resolution about ~10-5 An ECAL energy resolution ~ 12% ( (stochastic term) An HCAL energy resolution ~ 45% ( (stochastic term) On a 2jet ~ (0.14)2 Ejet + 2confusion + 2threshold No confusion No threshold ⇒∼0.14 The level of confusion between particle determine the quality of the reconstruction
The minimisation of the confusion contribution leads to ① A strong magnetic field and a large internal radius of the calorimeter⇨Help for the separation charged /neutral ② A small Molière radius⇨Minimise the overlap between close showers ③ A maximisation of the longitudinal segmentation (vision in 3D) ⇨Allows a better separation between close showers ④to have both ECAL and HCAL inside the coil and minimise the dead zone ⑤The development of 3D reconstruction algorithm And for the threshold ⑥A good S/N at low energy Choice in ECFA groups,choice in LCD-US groups ACFA choice is different e/h=1 and some precise layers
CALICE W-Si Rint~170 Pad 1x1 cm SD-LCD W-Si Rint~120 (SLAC-Oregon) Pad 0.5x0.5cm ECAL :Sampling tungsten-silicon Sampling radiator-tile HCAL : Sampling radiator-scintillator tiles Sampling radiator-gas detector n LCCAL 5x5cm tiles (Italian labs)3 silicon layers ACFA choice 4x4cm tiles 2 layers fibers Staggered tile Rint~160 (Uni. Colorado) tile 5x5cm CALICE tile-HCALprojective tiles 9 layers CALICE DHCAL ( Pad 1x1cm 1bit-readout 40 layers And some exotic proposals (crystal ECAL,…)
CALICE performances studies include Performance variation with dead wafers, with inter-calibration(Only ECAL), with pad size (DHCAL), perf. on jets with HCAL resolution, with variation of X0 in tungsten plates,… Electronics readout performances,noise,etc…is included (ECAL only) Performance with jets (at Z peak for both HCAL option) Performance with jets at high energy (numerical values for tile HCAL) Studies of DHCAL performance (single track) with radiator (steel, tungsten,…) , with pad size. Electron, muon ID. for isolated particle/in jets (better than ALEPH…) TO DO Almost everything - performances with pad size, with layer numbers (partly done for ECAL) - performances at high energy (including boson mass) - input for the electronics (HCAL mainly) - input for Lumi. measurement (end-cap), input for TPC T0 calibration. …………
CALICEECAL studies Impact from non-uniformity (inter-calibration) Impact from dead wafers J-C. B. J-C. B. Fraction of dead wafers in ECAL (%) Response non-uniformity in ECAL (%) Only a small variation of the performances with imperfect construction/knowledge of the device
Electron ID in jets Photon ID in jets ALL VALUES in % E CAL ZH at 500 GeV Z in , H in jets Jets at 91 GeV Hadron MISID Electron ID Particle momentum GeV Photon energy GeV H CAL 250 GeV ± S.Magill /mean ~ 29% ID → new • → and • → DHCAL 1 cm X 1 cm Jet mass
Tau decays ID is essential for ID and polarisation measurement (250 GeV)→ Looking along the charged track in the first 4 X0 charged pion Photons from o Looking along the ch. track in 5-12 X0
CALICEECAL+HCAL studies CALICEECAL(W-Si)+ DHCAL D.Orlando Z at rest decaying in jets CALICEECAL(W-Si)+ THCAL V.Morgunov
LCCAL(P.Checchia) Single particle perf. electron/pion separation electron position resolution Need simulation Need reconstruction Position resolution ~2mm 50 GeV Electron Test beam data 10 GeV photon from IP SD-LCD(M.Iwasaki, T.Abe,…) Photons ID in jets Effic. ~85% Purity ~ 85% Top mass measurement(no neutral hadron rec.) Resolution on photon direction Etc… Need a more complete/improved reconstruction
Conclusion CALICEA lot of performances have been estimated on GEANT3-4 simulation It remains a lot to do – progress foreseen for next ECFA workshop LCCALsingle particle performance in TB , jets ?? SD-LCDWorks started with full simulation, some results on jets events ST-ECAL*Works in progress ACFA calorimeter groupWorks in progress, single particle performance in TB *Staggered tiles ECAL in Colorado
What about muon outer system RPC’s A la TDR (Marcello Picollo). Simulation Geant4 with only a crude reconstruction. It clearly need to be linked with the inner detector (inside the coil) Which number of layers ? What is the best location in the Yoke,… Which mode (Streamer , avalanche) , which level of occupancy acceptable ? Which readout ? Which performance in jets ? , etc… “a la MINOS” Scintillator based Proposed by G.Fisk. Could be very cheap !! But so far I don’t know about any simulation and/or performances study.
1 Marcello in Jeju-do 0.8 Isolated muon ID. (crude criteria) - with 2D readout 1x1 cm - from FULL simulation GEANT4 Note the threshold due to the coil at About 6 GeV/c Efficiency muon ID 0.6 0.4 0.2 0 0 10 20 30 40 50 Muon momentum GeV