| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Nuclear Data Analysis | FIZ308 | Elective | Bachelor's degree | 3 | Spring | 4 |
Name of Lecturer(s)
Associate Prof. Dr. Caner YALÇIN
Learning Outcomes of the Course Unit
1) At the end of the course, students will obtain the basic information about electronics used in radiation measurement systems and learn how to evaluate and classify the experimental data and error analysis.
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | ||
| Learning Outcomes | ||||||||||||||
| 1 | Middle | Middle | Middle | Middle | Middle | Low | Low | Low | Middle | Low | Low | No relation | Low | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Statistical Physics
Course Contents
General Information. Nuclear Instruments. Measurement accuracy, sensitivity and errors. Uncertainty types. Count Statistics. Distribution indices. Covariance and Correlation. Binomial Distribution. Poisson Distribution. Normal Distribution. Standard Normal Distribution. The importance of the Gaussian distribution of radiation measurements Lorentz Distributions. Standard, and other possible uncertainties. Arithmetic mean and standard error. Tolerance. The statistics error of counting rate. Smallest detectable activity. The dead-time correction and counter dead-time measurement. Error-reduction methods. Data analysis methods. Curve fitting. İnterpolasyon. Ekstrapolasyon. Least squares method. Folding functions. Data smoothing. Chi-square method and the application of nuclear physics.
Weekly Schedule
1) General Information.2) Nuclear Instruments.
3) Measurement accuracy, sensitivity and errors. Uncertainty types.
4) Count Statistics.
5) Distribution indices. Covariance and Correlation. Binomial Distribution. Poisson Distribution.
6) Normal Distribution. Standard Normal Distribution. The importance of the Gaussian distribution of radiation measurements Lorentz Distributions. Standard, and other possible uncertainties.
7) Arithmetic mean and standard error. Tolerance.
8) Midterm examination/Assessment
9) The statistics error of counting rates.
10) Smallest detectable activity. The dead-time correction and counter dead-time measurement.
11) Error-reduction methods.
12) Data analysis methods. Curve fitting. İnterpolasyon. Ekstrapolasyon.
13) Least squares method. Folding functions.
14) Data smoothing.
15) Chi-square method and the application of nuclear physics.
16) Final examination
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Language of Instruction
Turkish
Work Placement(s)
Not Required