HUOM! OPINTOJAKSOJEN TIETOJEN TÄYTTÄMISTÄ KOORDINOIVAT KOULUTUSSUUNNITTELIJAT HANNA-MARI PEURALA JA TIINA HASARI
1. Course title
Computational light scattering
2. Course code
Aikaisemmat leikkaavat opintojaksot 53919 Sähkömagneettinen sironta I, 5 op
3. Course status: optional
-Which degree programme is responsible for the course?
Master’s Programme in Particle Physics and Astrophysical Sciences
-Which module does the course belong to?
PAP3001 Advanced Studies in Astrophysical Sciences (optional for Study Track in Astrophysical Sciences)
-Is the course available to students from other degree programmes?
4. Course level (first-, second-, third-cycle/EQF levels 6, 7 and 8)
Master’s level, degree programmes in medicine, dentistry and veterinary medicine = secondcycle
degree/EQF level 7
Doctoral level = third-cycle (doctoral) degree/EQF level 8
-Does the course belong to basic, intermediate or advanced studies (cf. Government Decree
on University Degrees)?
5. Recommended time/stage of studies for completion
After the theoretical astrophysics package in the B.Sc. programme for physical sciences.
6. Term/teaching period when the course will be offered
The course is offered in the autumn in period I every other year.
7. Scope of the course in credits
8. Teacher coordinating the course
Karri Muinonen, Antti Penttilä, Anne Virkki
9. Course learning outcomes
The course Electromagnetic Scattering I offers an introduction and theoretical foundation for elastic electromagnetic scattering by arbitrary objects (usually called particles). As compared to the wavelength, the sizes of the objects can be small or large, or of the order of the wavelength. As to the shape of the objects, main emphasis is on spherical particles and, subsequently, on the so-called Mie scattering. The optical properties of the objects are typically described by the refractive index.
10. Course completion methods
The course can also be taken individually with flexible timing after a discussion and planning session with the lecturers.
Introduction to light scattering.
12. Recommended optional studies
Electromagnetic Scattering II
13. Course content
Computational light scattering assesses elastic light scattering (electromagnetic scattering) by particles of arbitrary sizes, shapes, and optical properties. Particular attention is paid to advanced computational methods for both single and multiple scattering, that is, to methods for isolated particles and extended media of particles (cf. dust particles in cometary comae and particulate media on asteroids). Theoretical foundations are described for the physics of light scattering based on the Maxwell equations and for a number of computational methods. In single scattering, the methods include, for example, the volume integral equation, discrete-dipole approximation, T-matrix or transition matrix, and finite-difference time-domain methods. In multiple scattering, the methods are typically based on Monte Carlo ray tracing. These include far-field radiative transfer and coherent backscattering methods and their extensions incorporating full-wave interactions. Students are engaged in developing numerical methods for specific scattering problems. The development and computations take place in both laptop and supercomputing environments.
14. Recommended and required literature
K. Muinonen, Electromagnetic Scattering I, Lecture Notes, 2012 (latest draft)
C. F. Bohren & D. R. Huffman, Absorption and Scattering of Light by Small Particles, Wiley & Sons, 2010
J. D. Jackson, Classical Electrodynamics, Wiley & Sons, 1998
H. C. van de Hulst, Light Scattering by Small Particles, Wiley & Sons, 1957 (Dover, 1981)
M. I. Mishchenko, J. W. Hovenier, \& L. D. Travis, Light Scattering by Nonspherical Particles, Academic Press, 2000
M. I. Mishchenko, L. D. Travis & A. A. Lacis, Scattering, Absorption, and Emission of Light by Small Particles, Cambridge University Press, 2002
A. Doicu, Y. Eremin & T. Wriedt, Acoustic & Electromagnetic
Scattering Analysis Using Discrete Sources, Academic Press, 2000
15. Activities and teaching methods in support of learning
The course is composed of exercises, a project, and a final exam.
16. Assessment practices and criteria, grading scale
The grading scale for accepted outcomes is 1-5 based on the final exam and the bonus points obtained from the exercises and the project work.
17. Teaching language