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Information
| Code | FK527 |
| Name | Data Analyzing Methods in High Energy Physics I |
| Term | 2024-2025 Academic Year |
| Term | Fall |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Yüksek Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. AYŞE POLATÖZ |
| Course Instructor |
Prof. Dr. AYŞE POLATÖZ
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
To provide learning of packet programs and data analysis techniques used in experimental High Energy Physics.
Course Content
Probability distributions, error estimation, ROOT, PHYTIA, GEANT Applications
Course Precondition
none
Resources
Experimental Measurements: Precision, Error and Truth., N.C Barford, İmperial College, London., ISBN 0 471 90702 2, John Wiley and Sons
Notes
Techniques for Nuclear and particle Physics Experiments, William R. Leo, ISBN 3-57280-5
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | explain basic concepts in high energy physics |
| LO02 | uses packet programs used in experimental High Energy Physics. |
| LO03 | Uses analysis techniques |
| LO04 | uses Geant packet program |
| LO05 | uses ROOT and PHYTIA |
| LO06 | Makes probability calculations |
| LO07 | It uses binomial and Gaussian distributions. |
| LO08 | Makes calculation of error prediction. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Has sufficient infrastructure in various subjects of Physics. | 3 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Demonstrate the knowledge of appropriate mathematical techniques used in physics. | 3 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Interpret observational and experimental results. | 3 |
| PLO04 | Bilgi - Kuramsal, Olgusal | Makes use of the conceptual and practical knowledge acquired in the physics field at mastery level. | 2 |
| PLO05 | Bilgi - Kuramsal, Olgusal | Has a knowledge about the logic of scientific research. | 4 |
| PLO06 | Bilgi - Kuramsal, Olgusal | Report the solution of a physics problem, experimental results or projects in a written format or orally. | 3 |
| PLO07 | Bilgi - Kuramsal, Olgusal | Chooses and uses the necessary publications, books and methods for a scientific research. | 2 |
| PLO08 | Bilgi - Kuramsal, Olgusal | Accesses a knowledge about a subject in physics, does literature search and uses other sources for this purpose. | 3 |
| PLO09 | Bilgi - Kuramsal, Olgusal | Provides solutions to the problems encountered in the physics field applying research methods. | 3 |
| PLO10 | Bilgi - Kuramsal, Olgusal | Can perform an independent research. | 3 |
| PLO11 | Bilgi - Kuramsal, Olgusal | Can perform group work effectively in a research or industrial projects. | 2 |
| PLO12 | Bilgi - Kuramsal, Olgusal | Becomes conscious of the necessity of lifelong learning. | |
| PLO13 | Bilgi - Kuramsal, Olgusal | To keep track of the developments in physics and updates himself/herself invariably. | 1 |
| PLO14 | Bilgi - Kuramsal, Olgusal | Shares his/her ideas and suggestions for solutions to the physical problems with experts and non-experts by supporting them with quantitative and qualitative data. | 2 |
| PLO15 | Bilgi - Kuramsal, Olgusal | Can make an effective written or oral presentation of the results obtained in a study. | 2 |
| PLO16 | Bilgi - Kuramsal, Olgusal | Makes use of the knowledge, problem solving and / or application skills acquired in the physics field in interdisciplinary studies. | 2 |
| PLO17 | Bilgi - Kuramsal, Olgusal | Has a foundation necessary to work in a research and development organizations. | 2 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Basic Term, Probability, probability distributions, histogram, frequency distributions, average value, standard deviation. | read related topics in the book | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 2 | Error estimation: Random and systematic errors, permutation and combination. | read related topics in the book | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 3 | Error estimation: Binom, Gaussian and Poisson distributions. | read related topics in the book | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 4 | Problem solving | Homework | Öğretim Yöntemleri: Bireysel Çalışma, Problem Çözme |
| 5 | The packet programs used in data analysis-1:introduction to ROOT | Research the related topic | Öğretim Yöntemleri: Alıştırma ve Uygulama, Bireysel Çalışma |
| 6 | The packet programs used in data analysis-1: ROOT- continue | Research the related topic | Öğretim Yöntemleri: Alıştırma ve Uygulama, Bireysel Çalışma |
| 7 | The packet programs used in data analysis-1: ROOT applications | Research the related topic | Öğretim Yöntemleri: Bireysel Çalışma |
| 8 | Mid-Term Exam | Öğretim Yöntemleri: Bireysel Çalışma, Problem Çözme |
|
| 9 | The packet programs used in data analysis-2: usage of PHYTIA | Research the related topic | Öğretim Yöntemleri: Alıştırma ve Uygulama, Bireysel Çalışma |
| 10 | The packet programs used in data analysis-2: PHYTIA applications | Research the related topic | Öğretim Yöntemleri: Alıştırma ve Uygulama, Bireysel Çalışma |
| 11 | The packet programs used in data analysis-2: PHYTIA applications-continue | Research the related topic | Öğretim Yöntemleri: Bireysel Çalışma, Alıştırma ve Uygulama |
| 12 | TThe packet programs used in data analysis-3:İntroduction to GEANT | Research the related topic | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 13 | The packet programs used in data analysis-3: GEANT-continue | Research the related topic | Öğretim Yöntemleri: Alıştırma ve Uygulama, Bireysel Çalışma |
| 14 | The packet programs used in data analysis-3: GEANT applications | Research the related topic | Öğretim Yöntemleri: Alıştırma ve Uygulama, Grup Çalışması |
| 15 | Problem solving-2 | Homework | Öğretim Yöntemleri: Bireysel Çalışma, Problem Çözme |
| 16 | Term Exams | Öğretim Yöntemleri: Bireysel Çalışma, Problem Çözme |
|
| 17 | Term Exams | Öğretim Yöntemleri: Bireysel Çalışma, Problem Çözme |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (Hour) | 157 | ||
| Total Workload / 25 (h) | 6,28 | ||
| ECTS | 6 ECTS | ||