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textbook:nrctextbook:chapter14 [2025-01-23 01:30] Merja Herzig created |
textbook:nrctextbook:chapter14 [2025-04-28 12:02] (current) Merja Herzig |
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| - | When measuring the activity ($\text{A}_x$) of a radioactive source the primary result is the total (gross) count rate ($\text{R}_g$) obtained from the measurement system (detector, amplifier and pulse counter) | + | When measuring the [[textbook: |
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| where $\text{X}_g$ = number of collected total pulses and $\text{t}$ = measurement time. The unit of count rate is pulses per unit time: counts per second (s< | where $\text{X}_g$ = number of collected total pulses and $\text{t}$ = measurement time. The unit of count rate is pulses per unit time: counts per second (s< | ||
| ### | ### | ||
| + | {{anchor: | ||
| + | {{anchor: | ||
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| - | The observed gross count rate ($\text{R}_g$) includes, in addition to pulses resulting from the radioactive source (net pulses $\text{X}_n$), | + | The observed |
| - | actual source, such as cosmic radiation, presence of natural or pollution radionuclides and electric noise of the measurement system. These background pulses need to be counted separately in the absence of the radioactive source and the background count rate must be subtracted from the gross count rate to obtain the net count rate ($\text{R}_n$) originating from the radioactive source. | + | |
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| - | Activity of the source ($\text{A}_{x}$) is calculated either by comparing the net count rate of the source ($\text{R}_{x}$) to that obtained by measuring a standard source ($\text{R}_{st}$) with a known activity ($\text{A}_{st}$) in identical conditions as the unknown source | + | [[textbook: |
| ### | ### | ||
| - | $$A_x = A_{st} \times \left( \frac{R_x}{R_{st}} \right)$$ ;;# | + | \[ A_x = A_{st} \times \left( \frac{R_x}{R_{st}} \right) |
| [XIV.III] | [XIV.III] | ||
| ;;# | ;;# | ||
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| - | or if the counting efficiency | + | or if the [[textbook: |
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| What kind of uncertainties are involved here and how they are calculated are discussed below. | What kind of uncertainties are involved here and how they are calculated are discussed below. | ||
| ### | ### | ||
| + | {{anchor: | ||
| + | {{anchor: | ||
| + | ===== 14.2. Systematic and random errors ===== | ||
| + | |||
| + | ### | ||
| + | In every measurement, | ||
| + | ### | ||
| + | - // | ||
| + | - //Random errors// arise from the fact that the measurement system or the phenomenon measured, orboth, are intrinsically non-deterministic (stochastic): | ||
| + | |||
| + | * The [[textbook: | ||
| + | * Some measured phenomena, such as radioactivity, | ||
| - | ===== 14.1. Systematic and random errors ===== | ||
| ### | ### | ||
| - | In every measurement, | + | Below we discuss |
| ### | ### | ||
| - | - Systematic errors arise from erroneous measurement system and they always function into same direction from the right result. If, for example, the activity of the standard is not what it is supposed to be or the settings of the measurement system, such as amplification of pulses, change during the measurement, | + | {{anchor: |
| - | - Random errors arise from the fact that the measurement system or the phenomenon measured, orboth, are intrinsically non-deterministic (stochastic): | + | {{:textbook: |
| - | * The measurement systems are always non-ideal and do not always give the same response even though the measured quantity would have a constant value. For example, alpha particles for a certain transition | + | Figure XIV.1. Effect |
| - | * Some measured phenomena, such as radioactivity, | + | |
| + | {{anchor: | ||
| + | ===== 14.3. Poisson and normal distribution ===== | ||
| ### | ### | ||
| - | Below we discuss in more detail the uncertainties arising from the stochastic nature | + | The variation |
| ### | ### | ||
| - | {{: | + | $$P_x = \frac{m^x}{x!} \cdot e^{-m}$$ ;;# |
| + | [XIV.V] | ||
| + | ;;# | ||
| + | |||
| + | ### | ||
| + | where $\text{P}_x$ is the probability for $\text{x}$ number of events occurring in unit time and $\text{m}$ is the most probable number of events. Since the number of decay events can have only integer values the graphical representation of Poisson distribution is a histogram. Poisson distribution is also not symmetrical but is slightly bended to lower values. To make treatment of results simpler the symmetric normal (Gaussian) distribution is used as an approximation to Poisson distribution. [[textbook: | ||
| + | ### | ||
| + | {{anchor: | ||
| + | {{: | ||
| + | |||
| + | Figure XIV.2. Poisson and normal distribution functions for the probability (P) to observe radioactive decay events (m) in a number of identical time intervals (http:// | ||
| + | |||
| + | The mathematical formulation of normal distribution is as follows: | ||
| + | |||
| + | $$P_x = \frac{1}{{\sigma \sqrt{2\pi}}} \times e^{-\frac{{(x - m)^2}}{{2\sigma^2}}}$$ | ||
| + | [XIV.VI] | ||
| + | ;;# | ||
| + | |||
| + | ### | ||
| + | where $\text{P}_x$ is the appearance probability of a stochastic event, $\text{m}$ is the real value of the events, $\sigma$ is the standard deviation of events at various time intervals. | ||
| + | ### | ||
| + | {{anchor: | ||
| + | ===== 14.4. Standard deviation ===== | ||
| + | |||
| + | ### | ||
| + | To present the variation for a number of [[textbook: | ||
| + | ### | ||
| + | |||
| + | \[\sigma_x = \sqrt{\left( \frac{\sum (x_i - \bar{x})^2}{n-1} \right)}\] ;;# | ||
| + | [XIV.VII] | ||
| + | ;;# | ||
| + | |||
| + | |||
| + | ### | ||
| + | where $\text{x}_i$ is the number of pulses observed, $\bar{x}$ is their arithmetic mean value and $\text{n}$ is the number of measurements. If for example a radioactive source is measured ten times the number of observed pulses may vary as shown in [[textbook: | ||
| + | ### | ||
| + | {{anchor: | ||
| + | Table XIV.I. Variation of pulses in a radioactivity measurement. STDEV = $\sigma$ = standard deviation. | ||
| + | |||
| + | ^Measurement^Pulses^$x - \bar{x}$^ | ||
| + | |1|99|0| | ||
| + | |2| 102| 3| | ||
| + | |3| 89| -10| | ||
| + | |4 |110| 11| | ||
| + | |5| 98| -1| | ||
| + | |6| 112| 13| | ||
| + | |7| 88| -11| | ||
| + | |8| 91| -8| | ||
| + | |9| 105| 6| | ||
| + | |10 |96 |-3| | ||
| + | |Mean| 99|| | ||
| + | |STDEV| 8.37|| | ||
| + | |%| 8.45|| | ||
| + | |||
| + | ### | ||
| + | For the [[textbook: | ||
| + | ### | ||
| + | {{anchor: | ||
| + | {{: | ||
| + | |||
| + | Figure XIV.3. Normal distribution and the probability ranges of standard deviation | ||
| + | (https:// | ||
| + | |||
| + | ### | ||
| + | Usually instead of several measurements, | ||
| + | ### | ||
| + | |||
| + | $$\sigma = \sqrt{X}$$ | ||
| + | [XIV.VIII] | ||
| + | ;;# | ||
| + | |||
| + | ### | ||
| + | For the standard deviation derived in this way applies the same rules as presented above: the measured number of pulses has a 68.3% probability to deviate one $\sigma$ value from the " | ||
| + | probability to deviate 2% from the " | ||
| + | ### | ||
| + | {{anchor: | ||
| + | Table XIV.2. Uncertainties of radioactivity measurements with increasing number of collected pulses. | ||
| + | |||
| + | ^Pulses ($\text{X}$) ^Standard deviation ($\sigma$) ^Relative uncertainty (%)^ | ||
| + | |10 |3.16 |31.6| | ||
| + | |100 |10 |10| | ||
| + | |1000 |31.6 |3.2| | ||
| + | |10000| 10000| 1| | ||
| + | |100000| 316| 0.3| | ||
| + | |||
| + | ### | ||
| + | When presenting the results in radioactivity measurement the results should also include the uncertainty. For example in the following ways: 1030 ± 35 ($\sigma$) Bq or 1030 ± 70 (2$\sigma$) Bq or 1030 ± 105 (3$\sigma$) Bq. | ||
| + | ### | ||
| + | {{anchor: | ||
| + | ===== 14.5. Uncertainty of gross count rate ===== | ||
| + | |||
| + | The [[textbook: | ||
| + | {{anchor: | ||
| + | $$\sigma_g = \frac{\sqrt{X}}{t}$$ | ||
| + | [XIV.IX] | ||
| + | ;;# | ||
| + | |||
| + | |||
| + | $$R_g \pm \sigma_g = \frac{X_g \pm \sqrt{X_g}}{t}$$ ;;# | ||
| + | [XIV.X] | ||
| + | ;;# | ||
| + | |||
| + | The unit of the uncertainty is the same as that of count rate, s< | ||
| + | |||
| + | {{anchor: | ||
| + | ===== 14.6. Uncertainty of net count rate ===== | ||
| + | |||
| + | ### | ||
| + | When the [[textbook: | ||
| + | ### | ||
| + | {{anchor: | ||
| + | \[\sigma_{Rn} = \sqrt{\sigma_{Rg}^2 + \sigma_{Rbg}^2}\] | ||
| + | ;;# | ||
| + | [XIV.XI] | ||
| + | ;;# | ||
| + | |||
| + | \[\sigma_{Rn} = \sqrt{\frac{X_g}{t_g^2} + \frac{X_t}{t_{bg}^2}}\] | ||
| + | ;;# | ||
| + | [XIV.XII] | ||
| + | ;;# | ||
| + | |||
| + | {{anchor: | ||
| + | ===== 14.7. Standard deviation of activity ===== | ||
| + | |||
| + | ### | ||
| + | The [[textbook: | ||
| + | ### | ||
| + | {{anchor: | ||
| + | $$\sigma_A = \sqrt{\left( \frac{\sigma_{R_n}}{R_n} \right)^2 + \left( \frac{\sigma_{R_{st}}}{R_{st}} \right)^2}$$ | ||
| + | [XIV.XIV] | ||
| + | ;;# | ||
| - | Figure IV.1. Effect of systematic and random error on observed results. Left side: high precision but low accuracy. Right side: low precision but high accuracy. | ||
| - | ===== 14.2. Poisson and normal distribution ===== | ||
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This project has received funding from the Euratom research and training programme 2019–2020 under grant agreement No. 945301.