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HW

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... EM Shower Model. Follow shower development until ... Shower stops at E(t) = Ec, 'shower max' Electrons: all Brems above Ec and all ionization below. ... – PowerPoint PPT presentation

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Title: HW


1
Read Das and Ferbel Chap. 8.
  • HW 4 solutions are posted.
  • HW 5 assignment has been posted. It will be due
    March 26 (Wednesday after spring break).
  • The website for the Data Analysis Workshop will
    be ready for action by tomorrow morning.
  • Tim Klein (klein_at_physics.umn.edu - CLEO senior
    graduate student) and I will provide consulting
    services by email. Tim will have office hours
    during the DAW in Rm. 253 (or 137) 400 - 500 pm
    on M, T, W, and Th.
  • There will be four assignments, which you will
    hand in by email to klein_at_physics.umn.edu.
  • The first weeks activity is a warm-up exercise
    to allow you to get familiar with the
    environment, documentation and software.

2
Semi-Quantitative EM Shower Model
  • Follow shower development until the particle
    energies reach Ec? 600 MeV/Z (7 MeV for Pb),
    where ionization equals Brems.
  • Electron with E Ec travels 1 radiation length
    and gives up half of its energy to a Brems ?.
  • Photon with E Ec travels 1 radiation length and
    creates ee?, splitting E equally.
  • Electron with E remaining energy by ionization.

Electrons all Brems above Ec and all ionization
below.
  • After t radiation lengths, 2t particles, equal
    proportions of e, e?, ?.
  • Average energy E(t) E0/2t.
  • Shower stops at E(t) Ec, shower max

3
Semi-Quantitative EM Shower Model
  • Follow shower development until the particle
    energies reach Ec? 600 MeV/Z (7 MeV for Pb),
    where ionization equals Brems.
  • Electron with E Ec ionizes for 1 radiation
    length and gives up half of its energy to a Brems
    ?.
  • Photon with E Ec travels 1 radiation length and
    creates ee?, splitting E equally.
  • Electron with E remaining energy by ionization.

Electrons all Brems above Ec and all ionization
below.
  • After t radiation lengths, 2t particles, equally
    e, e?, ?, average energy E(t) E0/2t.
  • Shower stops at E(t) Ec, shower max

Does quite a good job, except that it does not
predict the energy resolution, which results from
fluctuations and must be simulated.
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5
Sampling Calorimeters
Metal-scintillator sandwich - Plastic
scintillator, Pb/steel plates - Cheap, poor E
resolution, fast, easy to build/operate
Metal-liquid-argon sandwich - 1-mm Pb
plates, 2-mm gaps - LAr ionization chamber
- Good E resolution, slow,
6
Hadronic Interactions ? Hadron Calorimeters
  • Most particles in HE processes are hadrons
  • Charged ones lose energy by ionization
    (Bethe-Bloch) both charged and neutral
    experience elastic and inelastic strong
    interactions when they get close enough to a
    nucleus.
  • At low energy elastic dominates until something
    else can happen. Behavior is complicated,
    depends on charge, structure of specific hadron
    different cross sections for different kinds of
    hadrons, resonant structure (excitations), etc.
  • For ?p, elastic dominates to 700 MeV/c, when
    threshold is reached for producing additional
    particles. For ??p, elastic dominance ends at
    smaller energy because of the possibility of
    quasi-elastic (charge-exchange) scatters ?? p ?
    ?0 n.
  • At higher energy things get simpler
  • Above 5 GeV total cross section falls slowly
    with energy. The minimum of 20-40 mb (??R2)
    occurs at 70-100 GeV.
  • Above 100 GeV, total cross section rises slowly
    (log) with energy.

7
?p
vs.
Kp
8
?p
  • Some general comments
  • Cross section is big!
  • Most collIsions have small q2. Hard scatters
    rare, interesting!
  • Mean multiplicity goes from 3 at 5 GeV to 12
    at 500 GeV (log).
  • First hadronic interaction triggers hadronic
    shower, similar but slower developing than EM
    shower.
  • Hadron calorimeters (sampling!) and muon ID need
    thick absorbers.

vs.
  • Length scale for hadronic interactions

??p
9
  • We havent covered everything, but we have
    introduced most of the building blocks of modern
    EPP/NP detectors.
  • Detector design requires selecting subsystems
    that accomplish specific goals of the experiment
    with minimum negative impact while not
    compromising other goals and not requiring
    infinite resources.
  • Look at some generic and specific detectors

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