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Electromagnetic logitidinal shower development

Electromagnetic logitidinal shower development. Depth (in X o )at which the shower has the maximum number of particles: (e.g.: http://rkb.home.cern.ch/rkb/PH14pp/node58.html )

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Electromagnetic logitidinal shower development

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  1. Electromagnetic logitidinal shower development Depth (in Xo)at which the shower has the maximum number of particles: (e.g.: http://rkb.home.cern.ch/rkb/PH14pp/node58.html ) tmax≈ ln ( E /  ) - c (with:   550 MeV/Z c  1 for electrons (ZPb = 82) ) Shower depth for 95% lognitudinal containment: T95[Xo]≈ tmax+ 0.08·Z + 9.6 Parametrization for average differential longitudinal energy deposit: DE = k · t(a-1) · e-bt · dt ( with: k= E ba / (a) ) Integrate this up to some depth t’ : Et’ = E = E· GAMDIS ( ’ , a) (with:  = bt ) Differentiate DE and set to zero (for shower maximum):  tmax = (a-1) / b CERN Library function

  2. Looked at ntuples of different energies and additional X0 in front. Fit for a and b and see whether they follow a logarithmic energy dependence Compare : tmax = (a-1)/b with tmax theory : tmax ≈ ln ( E /  ) - c Fit for a,b : All energies, all X0, for 5 possibilities of x0junk: (1.8, 1.9, 2.0, 2.1, 2.2) and then form the average over the results for a and b.

  3. a vs E a a = a1 + a2 lnE a1 = 1.68 0.36 a2 = 1.02 0.08 E[GeV] b vs E b b = b1 + b2 lnE b1 = 0.397 0.46 b2 = 0.002 0.05 E[GeV]

  4. Depth of shower maximum Data : tmax = (a-1)/b with a and b from fits as a function of energy Theory : tmax ≈ ln ( E /  ) - c theory data

  5. Next on the list: Working on making better use of the PS now

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