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Scattering is fundamental to almost everything we know about the world, such as why the sky is blue. Tunnelling is entirely quantum-mechanical and gives rise to such phenomena as nuclear fusion in stars. Scattering and tunnelling is a free course that investigatyes examples and applications of both these fascinating concepts.
After studying this course, you should be able to:
- explain the meanings of key terms and use them appropriately
- describe the behaviour of wave packets when they encounter potential energy steps, barriers and wells
- describe how stationary-state solutions of the Schrödinger equation can be used to analyse scattering and tunnelling
- for a range of simple potential energy functions obtain the solution of the time-independent Schrödinger equation and use continuity boundary conditions to find reflection and transmission coefficients
- present information about solutions of the time-independent Schrödinger equation in graphical terms.
- Current section: Introduction
- Learning outcomes
- 1 What are scattering and tunnelling?
- 2 Scattering: a wave-packet approach
- 3 Scattering: a stationary-state approach
- 4 Tunnelling: wave packets and stationary states
- 5 Applications of tunnelling
- Keep on learning
Study this free course
Enrol to access the full course, get recognition for the skills you learn, track your progress and on completion gain a statement of participation to demonstrate your learning to others. Make your learning visible!
Scattering and tunnelling
In this course we shall consider two physical phenomena of fundamental importance: scattering and tunnelling. Each will be treated using both a stationary-state approach and a wave-packet approach.
We can consider two approaches to describing the state of a system in wave mechanics. In cases where the probability distributions are independent of time, a stationary-state approach can be used. In other cases, where probabilities are time-dependent and motion is really taking place, a wave-packet approach can be used. The two approaches are related but different. In many situations the choice of approach is obvious and straightforward, but that is not always the case, as you will soon see.
You will need to be familiar with some mathematical topics to gain the most from this course. The most important are differential equations, in particular the solution of partial differential equations using the technique of separation of variables, and complex numbers. This material is available in the Mathematics and Statistics topic of OpenLearn, in the courses MST209_10 Modelling with Fourier series and M337_1 Introduction to complex numbers.
You may also find it useful to refer to the original glossary and Physics Toolkit as you work through this course. PDFs of these documents have been attached in the Summary.
This OpenLearn course is an adapted extract from the Open University course :.
Copyright & revisions
Originally published: Wednesday, 2nd March 2016
Last updated on: Wednesday, 2nd March 2016
- Creative-Commons: The Open University is proud to release this free course under a Creative Commons licence. However, any third-party materials featured within it are used with permission and are not ours to give away. These materials are not subject to the Creative Commons licence. See terms and conditions. Full details can be found in the Acknowledgements and our FAQs section.
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