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If every particle branches into two equal-energy daughters after one radiation length, the multiplicity is $2^n$ and each energy is $E_0/2^n$. Multiplication stops at the critical energy of an electromagnetic shower. This predicts a branching depth, not a realistic containment quantile: stochastic interaction distances, unequal radiation spectra and the residual stopping range produce a longitudinal tail.

For independent contributions the parametrization meansThe stochastic coefficient $A$ includes fluctuations in the sampled shower fraction, the finite number of signal quanta, and intrinsic shower fluctuations. A number of detected quanta proportional to $E$ has fluctuations proportional to $\sqrt{E}$, giving relative resolution proportional to $E^{-1/2}$. The noise coefficient $B$ describes an approximately fixed energy-equivalent readout uncertainty, including electronic noise and, for specified running conditions, Pile-up contributions. The constant term $C$ represents residual fractional nonuniformity, calibration and response variations, imperfect correction for inactive material, and leakage effects over the fitted range. The simple three-term model is an approximation; leakage and Pile-up need not follow these powers exactly.

A homogeneous calorimeter uses the showering material itself as the active medium, for example a scintillating crystal. It removes the absorber-versus-active sampling fluctuation and can have a much smaller stochastic term, but it does not eliminate signal statistics or intrinsic shower fluctuations. Its noise and constant terms are not automatically smaller: they depend on light collection, calibration, temperature, radiation damage, electronics and geometry. Homogeneous detectors can offer excellent energy resolution and compact construction, but large crystal volumes can be costly and fine longitudinal segmentation difficult. Sampling detectors often provide economical large coverage and flexible segmentation with robust absorbers, at the cost of sampling fluctuations and inactive material. If energy is expressed in GeV, $A$ has units ${\mathrm{GeV}}^{1/2}$, $B$ has units GeV and $C$ is dimensionless.

A sampling calorimeter alternates passive shower-forming material with active signal layers. Only part of the deposited energy is measured directly. Fluctuations of that fraction contribute a stochastic energy-resolution term. Fine segmentation and robust absorbers can be economical, while fine sampling and a larger active fraction generally improve resolution.

Independent stochastic, approximately fixed-noise and fractional-response contributions add in variance. The relative resolution is $A/\sqrt{E}\oplus B/E\oplus C$. Signal-counting and sampling fluctuations enter $A$; fixed equivalent energy noise enters $B$; residual response nonuniformity enters $C$. The powers approximate a fitted energy range rather than describing every leakage or Pile-up effect exactly.