FÄ°Z729 - MONTE CARLO SIMULATION IN HIGH ENERGY PHYSICS
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| MONTE CARLO SIMULATION IN HIGH ENERGY PHYSICS | FÄ°Z729 | Any Semester/Year | 3 | 0 | 3 | 8 |
| Prequisites | ||||||
| Course language | Turkish | |||||
| Course type | Elective | |||||
| Mode of Delivery | Face-to-Face | |||||
| Learning and teaching strategies | Lecture Discussion | |||||
| Instructor (s) | Assist. Prof. Dr. Sercan Åžen | |||||
| Course objective | The importance of Monte Carlo simulation in high-energy physics. Learning the working principles of simulation software and simulation applications. | |||||
| Learning outcomes |
| |||||
| Course Content | ? Monte Carlo Methods ? Monte Carlo event generator program in high energy physics ? PYTHIA6 and PYTHIA8 event generators ? EPOS event generator ? Applications with Rivet ? Analysis and interpretation of simulation data | |||||
| References | ? U. D. Goswami, Ultra high energy cosmic rays and Monte Carlo simulation, ISBN-13: 978-3847342083 ? Torbjörn Sjöstrand et al, PYTHIA6.4 physics and manual, JHEP05(2006)026 doi:10.1088/1126-6708/2006/05/026 ? S. Porteboeuf, Producing Hard Processes Regarding the Complete Event: The EPOS Event Generator, arXiv:1006.2967. | |||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | Monte Carlo simulation methods |
| Week 2 | Monte Carlo event generator programs |
| Week 3 | PYTHIA6 event generator |
| Week 4 | PYTHIA8 event generator |
| Week 5 | EPOS event generator |
| Week 6 | HepMC |
| Week 7 | Rivet |
| Week 8 | Rivet II |
| Week 9 | Midterm Exam |
| Week 10 | Jet Algorithms |
| Week 11 | Multi Parton Interactions |
| Week 12 | Simulation applications: PYTHIA6 and PYTHIA8 |
| Week 13 | Simulation applications: EPOS |
| Week 14 | Overview |
| Week 15 | Final exam |
| Week 16 | Presentation |
Assesment methods
| Course activities | Number | Percentage |
|---|---|---|
| Attendance | 0 | 0 |
| Laboratory | 0 | 0 |
| Application | 0 | 0 |
| Field activities | 0 | 0 |
| Specific practical training | 0 | 0 |
| Assignments | 0 | 0 |
| Presentation | 1 | 25 |
| Project | 1 | 25 |
| Seminar | 0 | 0 |
| Midterms | 1 | 20 |
| Final exam | 1 | 30 |
| Total | 100 | |
| Percentage of semester activities contributing grade succes | 0 | 70 |
| Percentage of final exam contributing grade succes | 0 | 30 |
| Total | 100 | |
WORKLOAD AND ECTS CALCULATION
| Activities | Number | Duration (hour) | Total Work Load |
|---|---|---|---|
| Course Duration (x14) | 14 | 3 | 42 |
| Laboratory | 0 | 0 | 0 |
| Application | 0 | 0 | 0 |
| Specific practical training | 0 | 0 | 0 |
| Field activities | 0 | 0 | 0 |
| Study Hours Out of Class (Preliminary work, reinforcement, ect) | 14 | 6 | 84 |
| Presentation / Seminar Preparation | 1 | 20 | 20 |
| Project | 1 | 20 | 20 |
| Homework assignment | 0 | 0 | 0 |
| Midterms (Study duration) | 1 | 30 | 30 |
| Final Exam (Study duration) | 1 | 30 | 30 |
| Total Workload | 32 | 109 | 226 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
| D.9. Key Learning Outcomes | Contrubition level* | ||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |
| 1. Combines mathematics, science and engineering knowledge in a multidisciplinary manner and implement into modern technological and scientific advanced research. | X | ||||
| 2. Accesses, interprets, and implements information by doing in depth applied research for technological applications. | X | ||||
| 3. Develops original models and designs methods to solve problems by using relevant software, hardware, and modern measurement tools. | X | ||||
| 4. Accesses information by doing research in certain fields, share knowledge and opinions in multidisciplinary work teams. | |||||
| 5. Implements modeling and experimental research; solves encountered complex problems. | X | ||||
| 6. Knows and follows recent improvements in the field, utilize new information to solve technological complex problems. Develops and plans methods to solve technological problems in an innovative manner. | |||||
| 7. Follows recent studies in the field, presents results in national and international meetings. | X | ||||
| 8. Knows advanced level Turkish and at least one foreign language to be able to present recent results. | |||||
| 9. Uses advanced communication tools related to technological methods and software. | X | ||||
| 10. Protects social, scientific, and ethical values while collecting and implementing, data and presenting results in scientific meetings. | X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest