OCR · A-Level · Physics

    Course version: H556 · Version from Sept 2015

    Radioactivity: (ii) simulation of radioactive decay using dice

    Radioactive decay is random and spontaneous, so a single nucleus's fate cannot be predicted, yet large samples show exponential decay.

    Checked against the OCR H556 specification (opens in a new tab) on .

    • Point 9 of 11
    • 4 key terms

    Study notes

    From the checked teaching notes for this specification point.

    The idea

    Radioactive decay is random and spontaneous, so a single nucleus's fate cannot be predicted, yet large samples show exponential decay. A dice simulation models this: each die represents a nucleus, and a chosen face (say a 6) means that nucleus has decayed. Roll all dice, remove those showing 6, and record the number remaining after each throw. The fraction surviving per throw is 5/6, so the count falls by a constant factor each round, producing an exponential curve. With many dice the decay is smooth; with few, random fluctuation is visible. This links the probabilistic nature of decay to the decay constant λ and the equation N = N₀e^(−λt).

    What earns the marks

    • Each die models one unstable nucleus, and a chosen face represents that nucleus decaying in that time interval.
    • Removing dice that show the chosen face and counting survivors each round produces data that fall by a constant fraction per throw.
    • The simulation shows decay is random for individual nuclei but predictable in the statistical behaviour of a large sample.
    • Plotting the number remaining against throw number gives an exponential curve, analogous to N = N₀e^(−λt).
    • Increasing the number of dice reduces the relative fluctuation, so the curve becomes smoother and closer to the theoretical exponential.

    Common mistakes and how to put them right

    • Thinking the dice 'remember' previous rolls.

      Put it right: Each throw is independent, so a surviving die has the same decay probability each round.

    • Believing the number remaining falls by a fixed amount each throw.

      Put it right: It falls by a constant fraction, which is why the graph is exponential, not linear.

    • Assuming a small number of dice will give a smooth exponential curve.

      Put it right: Random fluctuation is large, so more dice are needed for a clear trend.

    • Confusing the decayed dice with the surviving dice when plotting.

      Put it right: The count that decays exponentially is the number remaining.

    Exam tips

    • State clearly what each die and each chosen face represent before describing the procedure.
    • Use the simulation to explain randomness and the statistical nature of decay, not to claim individual nuclei have predictable lifetimes.
    • When interpreting a graph, describe the constant ratio between successive counts rather than a constant difference.

    Try the lesson

    The start of the Radioactivity: (ii) simulation of radioactive decay using dice lesson, made from checked teaching notes for this specification point.

    Listen

    Radioactive decay is random and spontaneous, so a single nucleus's fate cannot be predicted, yet large samples show exponential decay. A dice simulation models this: each die represents a nucleus, and a chosen face (say a 6) means that nucleus has decayed. Roll all dice, remove those showing 6, and record the number remaining after each throw. The fraction surviving per throw is 5/6, so the count falls by a constant factor each round, producing an exponential curve. With many dice the decay is smooth; with few, random fluctuation is visible. This links the probabilistic nature of decay to the decay constant λ and the equation N = N₀e^(−λt). A strong answer earns marks for these points. Each die models one unstable nucleus, and a chosen face represents that nucleus decaying in that time interval. Removing dice that show the chosen face and counting survivors each round produces data that fall by a constant fraction per throw. The simulation shows decay is random for individual nuclei but predictable in the statistical behaviour of a large sample. Plotting the number remaining against throw number gives an exponential curve, analogous to N = N₀e^(−λt). Exam tip: State clearly what each die and each chosen face represent before describing the procedure.

    Key words

    Say what each word means before you turn the card.

    Random and spontaneous decay

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    Exponential decay

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    Statistical behaviour of large samples

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    Modelling with probability

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    See every definition
    Random and spontaneous decay
    Radioactive decay is random and spontaneous, so a single nucleus's fate cannot be predicted, yet large samples show exponential decay.
    Exponential decay
    The count falls by a constant factor each round, producing an exponential curve.
    Statistical behaviour of large samples
    The simulation shows decay is random for individual nuclei but predictable in the statistical behaviour of a large sample.
    Modelling with probability
    Each die models one unstable nucleus, and a chosen face represents that nucleus decaying in that time interval.

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