Physics: Computational Atomic Physics with Applications in Astrophysics
Lund University
Lund
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Pace of study: 100 %
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Code: FYST87
<p>On this course, you will explore the fundamental processes of atomic physics and see how researchers use calculations to understand how atoms work. You will work with methods from modern research and apply them in practice in your own project.</p><p>The course provides a practical introduction to computational atomic physics and shows how Computational methods are used to describe the structure and behaviour of atoms. You will learn the basics of theoretical atomic physics and how atomic systems are modelled using methods from modern research. We cover atomic structure, electron correlation, relativistic effects, excitation and ionisation, and how these processes are affected by electromagnetic radiation and electron collisions.</p><p>You will also work with key computational methods such as Hartree and Dirac Fock methods, configuration interaction, multi-configuration methods, Z-dependent perturbation theory and R matrix methods. The course also shows how atomic data is used in astrophysics, including in basic plasma modelling.</p><p>The course begins with theory and computer exercises and ends with a project in which you use the methods from the course to solve a real-world problem in atomic physics. The course can be taken as a stand-alone course or as part of a programme in physics or astrophysics.</p>
Admission to the course requires 120 credits scientific studies in which 75 credits in physics and 45 credits in mathematics is included, or a Degree of Bachelor in physics - in both cases including knowledge equivalent to FYSB24 Atomic and Molecular Physics, 7.5 credits, FYSB22 Basic quantum mechanics, 7.5 credits, and NUMA01 Beräkningsprogrammering with Python, 7.5 credits, and English 6/B.
Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.
Lund University
Lund
Start date:
End date:
Pace of study: 100 %
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Last changed according to the source: 2026-03-25T09:28:57