Nuclear Fission: The Basic Process — Question 8

Section 43-1 · Physics pages 7166–7167

Question 8 A neutron multiplicity distribution has both a mean and a spread For an illustrative ensemble of independent fissions, the emitted prompt-neutron number n is 2 with probability .30, 3 with probability .50, and 4 with probability .20. No subsequent neutron reactions are included. n P(n) .30 .50 .20 2 3 4 Schematic; labels, not drawing lengths, specify the data. (a) Calculate the mean and variance of n. (b) For 100 independent events, find the mean total neutron count and its standard deviation. Explain why the mean need not be an integer.
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Question 8 - Solution A neutron multiplicity distribution has both a mean and a spread n P(n) .30 .50 .20 2 3 4 (a) Method and calculation ⟨n⟩= 2(.30) + 3(.50) + 4(.20) = 2.90 . Var(n) = 4(.30) + 9(.50) + 16(.20) −(2.90)2 = .490 . (b) Interpretation and further calculation ⟨N⟩= 100(2.90) = 290, σN = √ 100(.490) = 7.00 . n = ∑ i ni M →2.90 (M →∞), ni ∈{2, 3, 4} . Physical check The standard deviation describes ensemble fluctuations, not an uncertainty interval that constrains every individual realization.

Question 8

A neutron multiplicity distribution has both a mean and a spread

For an illustrative ensemble of independent fissions, the emitted prompt-neutron number n is 2 with probability .30, 3 with probability .50, and 4 with probability .20. No subsequent neutron reactions are included.

Diagram shown in the original SVG worksheet.

  1. Calculate the mean and variance of n.

  2. For 100 independent events, find the mean total neutron count and its standard deviation. Explain why the mean need not be an integer.

Question 8 - Solution

A neutron multiplicity distribution has both a mean and a spread

Diagram shown in the original SVG worksheet.

(a) Method and calculation

⟨n⟩=2(.30)+3(.50)+4(.20)=2.90.\boxed{\langle n\rangle=2(.30)+3(.50)+4(.20)=2.90}.Var⁡(n)=4(.30)+9(.50)+16(.20)−(2.90)2=.490.\boxed{\operatorname{Var}(n)=4(.30)+9(.50)+16(.20)-(2.90)^2=.490}.

(b) Interpretation and further calculation

⟨N⟩=100(2.90)=290,σN=100(.490)=7.00.\boxed{\langle N\rangle=100(2.90)=290,\quad\sigma_N=\sqrt{100(.490)}=7.00}.n¯=∑iniM→2.90(M→∞),ni∈{2,3,4}.\overline n=\frac{\sum_i n_i}{M}\to2.90\quad(M\to\infty),\qquad\boxed{n_i\in\{2,3,4\}}.

Physical check

The standard deviation describes ensemble fluctuations, not an uncertainty interval that constrains every individual realization.