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Wiggle matching

Wiggle matching is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Wiggle matching rather than just read about it. In short: Wiggle matching, also known as carbon–14 wiggle-match dating (WMD), is a dating method that uses the non-linear relationship between 14C age and calendar age to match the shape of a series of closely sequentially spaced 14C dates with the 14C calibration curve. A numerical approach to WMD allows one to assess the precision of WMD chronologies.

Key takeaways

  • Wiggle matching belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Wiggle matching to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Wiggle matching from memory before moving on to harder problems.

Reference excerpt

Wiggle matching, also known as carbon–14 wiggle-match dating (WMD), is a dating method that uses the non-linear relationship between 14C age and calendar age to match the shape of a series of closely sequentially spaced 14C dates with the 14C calibration curve. A numerical approach to WMD allows one to assess the precision of WMD chronologies. The method has both advantages and limitations for the calibration of individual dates. High-precision chronologies are needed for studies of rapid climate changes. Andrew Millard refers to wiggle matching as a way of dealing with the flat portion of the carbon-14 calibration graph that is known as the Hallstatt plateau, named after the Hallstatt culture period in central Europe that it coincides with.

Methodology Wiggle matching may be used as a complement to ordinary radiocarbon dating in some situations where the latter yields several alternatives. In its simplest form, radiocarbon dating works by taking the logarithm of the proportion of the isotope 14C of the total amount of carbon of both isotopes 12C and 14C in an organic sample. Since 12C is stable, but 14C decays radioactively, the proportion of 14C in a given sample gets smaller with time. There is indeed a linear relationship between that time and the logarithm of the 14C proportion. Thus, if one knows the 14C proportion that an organic sample contained when it was formed (say, by absorption of atmospheric carbon in photosynthesis), and its lower proportion today, then the precise time since that photosynthesis may be calculated directly (up to measurement errors). However, the 14C proportion in the atmospheric carbon has not been constant. It has varied for several reasons. For instance, 14C is created continuously in the upper atmosphere under the impact of solar energetic particles; and the amount of such particles hitting the Earth varies with the solar cycle. Thus, two samples with the same present 14C proportions may have different ages, since the older one was formed when the 14C proportion happened to be higher. In fact, the relationship between the present 14C proportion logarithm and the chronological time since the carbon in that sample was bound by photosynthesis does not form a straight line, but a 'wiggling' one. This wiggling often may be observed in some kinds of archaeological finds; in particular, in pieces of wood where a sufficient number of growth rings are discernible. By means of these rings, it may be possible to take a series of samples from one piece of wood, where we know that they were formed with a time distance of (for instance) five years between each sample. In this way, the relative variation of the logarithmic 14C proportion in the years when this piece of wood grew may be determined, sufficiently well to decide which one of a number of possible ages this wood piece has.

Applications Wiggle matching has a particular use when there are several dates differing by centuries but yielding the same 14C proportions in samples, such as during the Hallstatt plateau.

Comparing growth ring series Another application is for matching dendrochronological sequences for different tree species. The growth rings of a tree mostly vary in thickness from year to year. In a 'good' year, the tree grows more and forms a wider growth ring. Dendrochronology is based on the fact that the same years tend to be 'good' or 'bad' for many trees of the same species, especially in not too distant localities. Thus, by comparing growth ring patterns from different trees with overlapping lifetimes, it is possible to form long connected series of growth ring patterns, enabling precise dating of pieces of wood. However, even in the same forest, 'goodness' and 'badness' may vary with the tree species (and especially for species in different genera). A 'good' year for one species may have been a 'bad' one for another; and another year may have been 'bad' for the first species but 'average' for the second one. Thus, even if it may be possible to form different dendrochronological growth ring series for two different kinds of tree at the same location, these two series cannot be matched directly. This was the situation for growth series for two closely related species of oak (Quercus robur, Quercus petraea) on the one hand and a species of pine (Pinus sylvestris) on the other, both largely from river valleys in Central Europe, together covering the about 12,000 years from the end of the latest glacial period to recent times. In the first one and a half millennium of this time, the climate was too cool for oak; while later it was too warm for pine to be able to compete. Thus, the pine series covered the first two millennia, and the oak series the rest. Thus, the pine series was 'floating'; the distance in years between different growth rings were known, but not quite the absolute years. However, there was an overlap of some centuries; and by means of wiggle matching these two series were robustly joined in 2004, yielding the absolute start year 10641 BC for the pine sequence.

References

Worked examples

Example 1 — a first encounter with Wiggle matching

Start with the simplest possible case. Write down what Wiggle matching claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Wiggle matching before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Wiggle matching ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Wiggle matching

In research
Wiggle matching appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Wiggle matching in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Wiggle matching is common in secondary-school and first-year university syllabi. It links to neighbouring topics Dating methodologies in archaeology, Radiocarbon dating, so understanding it makes those chapters shorter.
In everyday life
Look for Wiggle matching outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Wiggle matching in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Wiggle matching means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Wiggle matching out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Wiggle matching in simple terms?

Wiggle matching, also known as carbon–14 wiggle-match dating (WMD), is a dating method that uses the non-linear relationship between 14C age and calendar age to match the shape of a series of closely sequentially spaced 14C dates with the 14C calibration curve. A numerical approach to WMD allows on…

Why does Wiggle matching matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Wiggle matching?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Wiggle matching.

Tags

  • Dating methodologies in archaeology
  • Radiocarbon dating

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