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Principles of Particle Energy Determination 623
markedly emitted in the transverse direction with respect to the direction of the
incoming photon and enlarge the shower size.
As discussed above, the low-energy phenomena, which control the energy de-
position via soft photon interactions in matter during the development of electro-
magnetic cascades, depend on the difference of atomic numbers between the ab-
sorber and the active medium. For a fixed amount of matter in g/cm
2
, the flux
of low energy photons is less attenuated (see Fig. 9.4) in low-Z than in high-Z
media. Consequently, less soft photoelectrons are generated and locally absorbed
in low-Z materials (like detector active readouts as for instance scintillators, liquid
argon or silicon detectors, etc.) compared with medium-Z materials (like Fe and
Cu passive samplers), and much less compared with high-Z materials (like W, Pb
and U passive samplers). Thus, the e/mip value is expected to depend on the Z
difference among detector active readout and passive samplers.
Many experimental results have confirmed this predicted behavior of the e/mip
ratio (see [Fabjan (1985a); Wigmans (1987); SICAPO Collab. (1989c)] and referen-
ces therein). Wigmans (1987), using the EGS4 code [Nelson, Hirayama and Rogers
(1985)], has systematically simulated electromagnetic shower cascades in sampling
calorimeters with liquid argon and scintillator readout detectors as a function of
the Z-value of passive samplers. His results are in agreement with experimental
data and other simulations [Flauger (1985); del Peso and Ro (1990)] and have con-
firmed [Wigmans (1987)] that the e/mip ratio mainly depends on the differential
absorption of low energy photons.
The e/mip ratios are < 1 for Z
absorber
> Z
readout
, ≈ 1 for Z
absorber
≈ Z
readout
,
and > 1 for Z
absorber
< Z
readout
. Simulations have shown that the energy deposi-
tion is quite uniform in thin (in units of radiation length) readout layers [Flauger
(1985)]. These simulation results and experimental data indicate that the value of
e/mip is almost independent of the readout layer thickness for practical calorimeters.
Several e/mip values, obtained experimentally, are shown in Table 9.1: the data
are mainly given for liquid argon, scintillator, and silicon as readout detectors and
for Al, Fe, Cu, Pb and U as passive samplers. As pointed out before and within
≈ 10% (see also [Fabjan (1985a); Wigmans (1987); SICAPO Collab. (1989c)] and
references therein), e/mip values are ≈ 0.85 for medium-Z passive absorbers (like
Fe or Cu) and ≈ 0.65 for high-Z passive absorbers (like W, Pb or U). Because
in typical sampling calorimeters e/mip ratios are < 1, the phenomenon was also
referred to as electromagnetic sampling inefficiencies [Gabriel (1989)].
Sometimes phenomena leading to “sampling inefficiencies”, i.e., to the e/mip
ratio dependence on Z
absorber
and Z
readout
, were interpreted as being due to the
so-called transition effects.
Although the calorimeter response is based on the energy deposited in the read-
out detectors after the shower transits from passive samplers to active planes, it
has to be recalled that the term transition effect was introduced by Pinkau (1965)
in the framework of “Approximation B”. In this formulation, not all soft-photon