This lesson focuses on understanding the general features of an XRF spectrum, with an emphasis on the multiple peaks observed for each element and the factors influencing their appearance. By examining an example spectrum, students will explore concepts like series probability, cascade effects, and the use of different scales for spectrum visualization.
Objectives
- Identify the multiple peaks (e.g., Kα, Kβ, Lα, Lβ) in an XRF spectrum and understand their origin.
- Understand the concepts of series probability and cascade effects in generating XRF peaks.
- Compare linear and logarithmic scales for visualizing XRF spectra.
Materials
- Example XRF spectrum of tin.
Lesson Plan
- Introduction to XRF Spectrum Features
- Explain why multiple peaks appear in an XRF spectrum for each element.
- Use the tin spectrum to introduce Kα, Kβ, Lα, and Lβ peaks.
- Series Probability and Cascade Effect
- Discuss how transitions between shells (e.g., K, L, M) result in multiple peaks.
- Explain the cascade effect and its role in producing additional X-ray lines.
- Visualization of XRF Spectra
- Compare linear and logarithmic scales for representing spectra.
- Highlight how logarithmic scales help reveal weaker lines, such as Lα and Lβ.
