Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
ADVANCED BEAM DYNAMICS IN ACCELERATORS 200100805040 5 + 0 5.0 10.0

Prerequisites None

Language of Instruction Turkish
Course Level Graduate Degree
Course Type Compulsory
Mode of delivery
Course Coordinator
Instructors
Assistants
Goals The purpose of accelerator systems is to accelerate particles and move them to high energies. The aim of this course is to understand the basic physics and particle behavior during beam acceleration.
Course Content Topics such as electric and magnetic fields, magnetic field applications, linear optics, nonlinear dynamics, beam properties, theory of collective effects, space charge, wake-field will be discussed.
Learning Outcomes 1) Özel görelilik teorisi, E ve B-alanların basit örneklerini anlar ve çözer
2) Manyetik alanların çoklu açılımları ile ilgili literatür taraması yapar, örneklerini anlar.
3) Lineer Optiği anlar tekniklerini öğrenir.
4) Hamilton Formalizm, Hamiltondan Hill Denkleminin elde edilmesini anlar. Farklı koordinatlarda Hamiltoniyan formalizmini anlar

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Basics, Phenomenology of Special relativity, simple examples of E-fields and B-fields, Lecture
Opinion Pool
Brain Based Learning
Presentation (Including Preparation Time)
2. Week Multiple expansion of B- fields Lecture
Opinion Pool
Brain Based Learning
Presentation (Including Preparation Time)
3. Week Linear Optics Lecture
Opinion Pool
Brain Based Learning
Presentation (Including Preparation Time)
4. Week Hamiltonian formalism, Derivative of Hill’s equation from Hamiltonian Lecture
Opinion Pool
Brain Based Learning
Presentation (Including Preparation Time)
5. Week Hamiltonianin different Coordinate Systems, Lecture
Opinion Pool
Brain Based Learning
Presentation (Including Preparation Time)
6. Week Weak focusing-linear optics: motion of single particle in a lattice, phase space plots-trajectory, closed orbit, dispersion, weak focusing-strong focusing, Lecture
Opinion Pool
Brain Based Learning
Presentation (Including Preparation Time)
7. Week Tune, chromaticity-linear Imperfections, down-feed, coupling, Non-linear Dynamics Lecture
Opinion Pool
Brain Based Learning
Presentation (Including Preparation Time)
8. Week Midterm Lecture
Opinion Pool
Brain Based Learning
Presentation (Including Preparation Time)
9. Week Liouville Teoremi, Emisyonun tanımı, konservatif sistemlerde emisyonun korunması, Lecture
Opinion Pool
Brain Based Learning
Presentation (Including Preparation Time)
10. Week Doğrusal olmama nedeniyle filamentlenme Lecture
Opinion Pool
Brain Based Learning
Presentation (Including Preparation Time)
11. Week Kollektif Etkilerin Teorisi (Kolektif Etkilerin Fenomonolojisi) Lecture
Opinion Pool
Brain Based Learning
Presentation (Including Preparation Time)
12. Week Uzay yükü, Touschek demet İçi Saçılma Lecture
Opinion Pool
Brain Based Learning
Presentation (Including Preparation Time)
13. Week Wakefields Lecture
Opinion Pool
Brain Based Learning
Presentation (Including Preparation Time)
14. Week Final exam Lecture
Opinion Pool
Brain Based Learning
Presentation (Including Preparation Time)

Sources Used in This Course
Recommended Sources
Accelerator Physics, Lee
Beam dynamics in high energy particle accelerators, Wolski
Introduction to Accelerator Physics, Helmut Wiedemann, https://link.springer.com/book/10.1007/978-3-319-18317-6
Single Particle Dynamics in Circular Accelerators, Ronald Ruth, SLAC-PUB-4103

Relations with Education Attainment Program Course Competencies
Program RequirementsContribution LevelDK1DK2DK3DK4
PY155555
PY255555
PY355555
PY455555
PY555555
PY843333
PY940000
PY1044444
PY1144444
PY1222222
PY1344444
PY1422222
PY1522222
PY1633333
PY1733333
PY1822222

*DK = Course's Contrubution.
0 1 2 3 4 5
Level of contribution None Very Low Low Fair High Very High
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ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Work Hour outside Classroom (Preparation, strengthening) 4 60
Time to prepare for Midterm Exam 1 15
Final Exam 1 30
Time to prepare for Final Exam 1 20
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
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Course Information