Methods of measurement and absolute datings

Academic Year 2022/2023 - Teacher: PAOLA LA ROCCA

Expected Learning Outcomes

The course aims at providing the basic knowledge and tools for the analysis of geophical data, for the uncertainties estimation and for statistical analyses. It also gives an introduction to the main dating methods and their application in Geophysics.

The Learning Objectives, within the Dublin Descriptors scheme, are:

  1. Knowledge and understanding: knowledge of the basic notions of statistics and data analysis techniques; knowledge of the main dating techniques and their field of application;
  2. Applying knowledge and understanding: ability to analyze and understand experimental data;
  3. Making judgements: ability to make numerical  estimations of physical quantities;
  4. Communication skills: ability to discuss (in an oral conversation or in writing) a scientific topic using an appropriate scientific language;
  5. Learning skills: ability to study individually and to keep up-to-date with the new scientific discoveries in this field.

Course Structure

Classroom-taught lessons by the use of interactive power point presentations.

Practical sessions of data analisys and exercises.

Guided tours of nuclear physics and dating laboratories.

N.B. Should the circumstances require online or blended teaching, appropriate modifications to what is hereby stated may be introduced, in order to achieve the main objectives of the course. Exams may take place online, depending on circumstances.

Information for students with disabilities and / or SLD

To guarantee equal opportunities and in compliance with the laws in force, interested students can ask for a personal interview in order to plan any compensatory and / or dispensatory measures, based on the didactic objectives and specific needs. It is also possible to contact the referent teacher CInAP (Center for Active and Participated Integration - Services for Disabilities and / or SLD) of our Department, Prof. Giorgio De Guidi.

Required Prerequisites

Basic knowledge about topics in mathematics, statistics and physics, usually reached during the bachelor degree course in Geological Science.

Attendance of Lessons

Attendance at the courses is usually compulsory.

Should the circumstances require online or blended teaching, appropriate modifications to what is hereby stated may be introduced, in order to achieve the main objectives of the course.

Detailed Course Content

First part
1) Measurement of a Physical quantity
The scientific method – Physical quantities – Units of measurement – Measurement uncertainty – Estimation of the uncertainty – Absolute and relative uncertainties – How to report uncertainties – Use of tables –  – Comparison of two measured numbers – Significant Figures – Graphical representation of the experimental data
2) Propagation of uncertainties
Direct and indirect measurements - Error propagation in sums, differences, products and quotients - Independent uncertainties in a measurement - General formula for error propagation
3) Statistical analysis of random uncertainties
Histograms and distributions - The mean and Standard Deviation – The weighted average - The Gaussian distribution and its properties - The Poisson distribution and its properties - Student test
4) Least-squares fitting
Introduction to the least-squares fit - The Linear best-fit – Calculation of the constants A and B - Uncertainties in the constants A and B - Least-squares fits to other curves – Examples and applications
5) The chi-squared test for a distribution
Comparison between theoretical and experimental data distributions - General definition of chi-squared - Degree of freedom and the reduced chi-squared – The chi-squared test - Examples
Second part
1) Basics of Nuclear Physics
The nucleus and its contents - Mass number and atomic number – Isotopes – Abundance of isotopes in nature
2) Basics of radioactivity
Nuclear stability – The radioactivity - The radioactivity decay law –Decay constant, lifetime and half-life - Types of Radioactive Decay – Alpha decay - Beta decay - Gamma decay
3) Dating methods
Introduction to the dating methods - Radiocarbon dating - AMS dating - Potassium-Argon dating - Argon-Argon dating - Uranium-Thorium dating - Rubidium-Stronzium dating - Fission track dating – Thermoluminescence phenomena and its application in archaeological dating - Electron spin resonance and its use in dating - atcheomagnetic dating technique

Textbook Information

1) J.R. Taylor, “Introduzione all’analisi degli errori”, Zanichelli

2) B.Povh, K.Rith, C.Scholtz, F.Zetsche, “Particelle e Nuclei”, Bollati-Boringhieri

3) W.S.C. Williams, “Nuclear and Particle Physics”, Oxford Science Publications

4) M.J.Aitken, “Science-based Dating in Archeology”, Pearson Education

5) A.Castellano, M.Martini, E.Sibilia, “Elementi di archeometria”, Egea


AuthorTitlePublisherYearISBN
J.R.TaylorIntroduzione all’analisi degli errori, seconda edizioneZanichelli1999978880817656
B.Povh, K.Rith, C.Scholtz, F.ZetscheParticelle e NucleiBollati-Boringhieri19989788833955957
W.S.C. WilliamsNuclear and Particle PhysicsOxford Science Publications19919780198520467
M.J.AitkenScience-based Dating in Archeology, 1st editionPearson Education19909780582493094
A.Castellano, M.Martini, E.SibiliaElementi di archeometria, seconda edizioneEgea20079788823820920

Course Planning

 SubjectsText References
1The scientific method1)
2Physical quantities, units of measurement1)
3Uncertainty in experimental measurements1)
4"Qualitative" estimation of uncertainties 1)
5Absolute and relative uncertainties1)
6Numerical representation of a measurement1)
7Tables1)
8Significant digits1)
9Comparison between different measurements1)
10Graphycal represention of experimental data1)
11Direct and indirect measurements1)
12Uncertainties propagation for sums, differences, ratios and products1)
13Independent uncertainties1)
14General formula for uncertainties propagation1)
15Histograms and data distributions1)
16Mean and standard deviation1)
17Combination of measurements with different uncertainties1)
18Weighted mean1)
19Limiting distributions1)
20Gaussian distribution and its properties1)
21Poissian distribution and its properties1)
22Method of least squares1)
23Introduction to the method of least squares1)
24Linear best-fit1)
25Evaluation of free parameters in the linear best-fit procedure1)
26Evaluation of uncertainties of the free parameters in the linear best-fit procedure1)
27Least squares methos applied to a data distribution1)
28Applications of the best-fit procedures1)
29Comparison between theoretical and experimental distributions1)
30Chi-square1)
31Degrees of freedom and reduced chi-square1)
32Chi-square test1)
33Applications of the chi-square test1)
34Basic concepts of nuclear physics2) 3)
35The nucleus and its components2) 3)
36Atomic and mass numbers2) 3)
37Isotopes2) 3)
38Isotopes in nature2) 3)
39Nuclei stability2) 3)
40Radioactivity2) 3)
41Radioactivity decay law2) 3)
42Decay constant, average lifetime, half-time2) 3)
43Types of decay2) 3)
44Alpha decay2) 3)
45Beta decay2) 3)
46Gamma decay2) 3)
47Dating techniques4) 5)
48Radiocarbon dating4) 5)
49AMS dating4) 5)
50Potassium-Argon dating4) 5)
51Argon-Argon dating4) 5)
52Uranium-Thorium dating4) 5)
53Rubidium-Strontium dating4)
54Dating based on nuclear fission tracks4) 5)
55Thermoluminescence dating4) 5)
56Electron spin resonance dating4) 5)

Learning Assessment

Learning Assessment Procedures

The exams dates can be found on the web site of the Master Degree in Geophysical Science http://www.dipbiogeo.unict.it/corsi/lm-79. At least 2 dates are available foor each session.

The exam consists in an oral discussion about the contents of the course. The minimum mark is 18.

The final evaluation will take into account the following aspects:

  • knowledge of the contents
  • clarity and language skills
  • relevance of the answers to the asked questions
  • ability to make correct links with other topics in the program
  • ability to report examples
  • ability to solve simple exercises and make estimates

The verification of learning will be done remotely if the circumstances would require online or blended teaching.

Examples of frequently asked questions and / or exercises

The following list of questions is not exhaustive but includes just some examples.

  • Discuss the main types of uncertainties in an experimental measurement.
  • Explain the difference between accuracy and precision.
  • Explain the difference between direct and indirect measurements.
  • Discuss the general formula for the uncertainties propagation in an indirect measurement.
  • List and describe the indexes of dispersion.
  • Explain the meaning of limiting distributions.
  • List and discuss the main properties of the Gaussian distribution and give an example of its application in an experimental data analysis.
  • List and discuss the main properties of the Poissian distribution and give an example of its application in an experimental data analysis.
  • Describe the least squares method.
  • Describe the chi-square test.
  • Discuss the radioactive decay law.
  • Explain the difference between isotope lifetime and half time.
  • List the main properties of dating techniques.
  • Describe one of the dating methods discussed in the course.
  • Discuss the limits of a given dating technique.

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