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Modern Physics

Radioactive Decay

A nucleus with no memory, no schedule and no way to be hurried, and a jar of them that keeps reliable time.

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Radioactive Decay

A nucleus with no memory, no schedule and no way to be hurried, and a jar of them that keeps reliable time.

40 min4 checkpoints8 simulation tasks

Introduction

A single nucleus is the least predictable object in this course: nothing about it tells you when it will decay. Put a few hundred in a jar, though, and the jar keeps perfect time.

Predict

Carbon-14 has a half-life of 5700 years. You start with 256 carbon-14 nuclei and wait 11,400 years, two half-lives. How many are left?

Half of what is left

Read the graph

256 carbon-14 nuclei; each square is one, and a ring is a decay. Run it to the second half-life marker. How many nuclei are left there?

Loading simulation…

Run the simulation first, then read the value off it.

Every nucleus of a given isotope carries the same constant probability per second of decaying, λ\lambda. That is the whole physical input. The simulation rolls each nucleus separately, every step, against that probability, and the count is whatever the dice leave behind.

Why the curve appears at all

When each survivor has the same chance of going, the number of decays is proportional to the number left. Halving what is left, again and again, is an exponential. Its half-life sets its pace, and the activity, in decays per second, follows the same curve:

N(t)=N0e−λt,t1/2=ln⁡2λ,A=λNN(t) = N_0 e^{-\lambda t}, \qquad t_{1/2} = \frac{\ln 2}{\lambda}, \qquad A = \lambda N

Read the graph

Now only sixteen nuclei. Run it until the last one goes. After how many half-lives is the sample empty?

Loading simulation…

Run the simulation first, then read the value off it.

Try it

Raise N₀ to a few thousand and run it to two half-lives.

GoalAt least 2048 nuclei, run to two half-lives.

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A nucleus does not age

Take the nuclei still around after many half-lives. They have survived a very long time. Are they the tough ones? Are they due?

Predict

A carbon-14 nucleus has survived 20,000 years. Compared with one made yesterday, what is its chance of decaying in the next 5700 years, one half-life?

Read the graph

4096 nuclei. At the fourth half-life marker 255 are left. Run it on to the fifth marker. How many are left there?

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Run the simulation first, then read the value off it.

"Half-life is half of a nucleus's life." A carbon-14 nucleus has a probability, and the half-life describes how a crowd of them thins out. Nuclei decay at every point on the timeline, some in the first tenth of a half-life, some after nine. The half-life is the median of that spread.

Nothing you can do to it makes any difference

Chemistry is electrons, temperature is motion, pressure is crowding. All three act on the outside of the atom, tens of thousands of nuclear radii from the nucleus, with energies of a few electron-volts against a nuclear scale of millions.


Predict

You have a sample of iodine-131 decaying on the bench. You want it gone faster, so you heat it to 1200 K. What happens to the count?

Read the graph

On the bench, this iodine sample has 488 nuclei left at the first half-life marker. Here it sits in a furnace at 1200 K. How many remain at that marker?

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Run the simulation first, then read the value off it.

Parent, daughter, and a population that rises

A decayed nucleus does not disappear. It becomes a nucleus of a different element (carbon-14 becomes nitrogen-14), still in your sample. Sometimes the new nucleus is radioactive too, and the sample holds two clocks at once.


Read the graph

Molybdenum-99 decays to technetium-99m, the pair behind millions of medical scans a year. Run it and pause when the daughter is at its peak. How many daughter nuclei are there?

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Run the simulation first, then read the value off it.

Read the graph

Now iodine-135. Its daughter, xenon-135, decays more slowly than it is made. Run it: how many xenon nuclei are there at the peak?

Loading simulation…

Run the simulation first, then read the value off it.

Reading a clock backwards

So far you knew N0N_0, waited, and predicted NN. The useful direction is the other one. Half remaining is one half-life of age; a quarter is two:

t=t1/2 log⁡2 ⁣N0Nt = t_{1/2}\,\log_2\!\frac{N_0}{N}

Predict

Two labs date the same 11,400-year-old sample, one from 256 carbon-14 atoms and one from 4096. Both use the correct half-life. How do their answers differ?

Read the graph

A 64-nucleus sample, really 11,400 years old. Run it to two half-lives. What age does the fraction left imply?

Loading simulation…

Run the simulation first, then read the value off it.

What comes next

A law with no mechanism underneath it, no wearing out and no countdown, makes one of the most reliable timepieces in science, purely by counting. Why a nucleus has a probability rather than a schedule is quantum mechanical. For alpha decay it is tunnelling: a particle held by a barrier it lacks the energy to cross leaks through anyway, at a rate that depends steeply on the barrier, and alpha half-lives span more than thirty orders of magnitude. Beta decay, carbon-14's kind, comes from the weak interaction instead, with the same absence of a schedule.

Ideas this lesson took on

Each of these is a common intuition the lesson put to the test. If one still feels right, the section that tests it is worth another look.

  • “After two half-lives nothing is left”
  • “An old nucleus is closer to decaying than a fresh one”
  • “Heating a sample makes it decay faster”
  • “Radioactivity spreads to whatever is sitting next to it”

Finished with this lesson?

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Research behind this lesson

  • Hull et al. 2026: Surveys of Austrian high-school and US college students found the reading that half of a nucleus decays in one half-life to be common but context-dependent: cluster analysis of response patterns showed reasoning that shifts with the question rather than one stable misconception, supporting a knowledge-in-pieces account.
  • Millar 1994: A diagnostic test given to 144 sixteen-year-olds found many holding a conception of how radiation is absorbed that differs significantly from the accepted account, along with a widespread conflation of radioactive material with the radiation it emits.
  • Prather & Harrington 2001: Interviews with college students identified specific difficulties with ionizing radiation and radioactivity, and mapped the ideas students bring to the topic before any instruction on it.
  • Prather 2005: An investigation of what introductory students believe individual atoms are doing during radioactive decay and across a half-life. Their accounts rested on inaccurate mental models of atomic behaviour: the same models behind the widely reported failure to distinguish irradiation from contamination.
  • White & Gunstone 1992: The Predict–Observe–Explain cycle: committing to a prediction before observing makes a conflicting result impossible to ignore, which is what forces a belief to be revised rather than merely supplemented.