FK510 Data Analysis Methods in High Energy Physics II

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit

Information

Code FK510
Name Data Analysis Methods in High Energy Physics II
Term 2022-2023 Academic Year
Term Spring
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
1


Course Goal / Objective

To provide background fo data analysis in experimental High Energy Physics.

Course Content

Particle Accelerators and Detectors, data monitoring, storage and processing, Trace Determination of Particles and Momentum Measurement, calculation of cross section, Physics and Detector Simulation, Data analysis-application

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 knows detector systems used in experimental High enery physics
LO02 knows analysis techniques in data analysis
LO03 use package programs used in Experimental High Energy Physics
LO04 explains the concepts of error, precision and stability
LO05 Processes the experimental data and calculates related statistics


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.
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.
PLO15 Bilgi - Kuramsal, Olgusal Can make an effective written or oral presentation of the results obtained in a study.
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.


Week Plan

Week Topic Preparation Methods
1 Introduction:Particle Accelerators and Detectors study the relevant chapter in the book Öğretim Yöntemleri:
Anlatım
2 Data monitoring, data storage, data processing study the relevant chapter in the book Öğretim Yöntemleri:
Anlatım
3 Calorimeter energy resolution and calibration study the relevant chapter in the book Öğretim Yöntemleri:
Anlatım
4 Trace Determination of Particles and Momentum Measurement, determination the identity of the particle, Energy Measurements study the relevant chapter in the book Öğretim Yöntemleri:
Anlatım
5 Event selection and reconstruction study the relevant chapter in the book Öğretim Yöntemleri:
Anlatım
6 Jet Algorithm study the relevant chapter in the book Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
7 Calculation of cross section study the relevant chapter in the book Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
8 Mid-Term Exam study for the exam Öğretim Yöntemleri:
Alıştırma ve Uygulama, Bireysel Çalışma, Problem Çözme
9 Physics Simulation and Detector Simulation-1 study the relevant chapter in the book Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
10 Physics Simulation and Detector Simulation-2 study the relevant chapter in the book Öğretim Yöntemleri:
Anlatım, Tartışma
11 Physics Simulation and Detector Simulation-3 study the relevant chapter in the book Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
12 Data analysis-application-I Homework Öğretim Yöntemleri:
Alıştırma ve Uygulama, Bireysel Çalışma, Problem Çözme
13 Data analysis-application-II Homework Öğretim Yöntemleri:
Alıştırma ve Uygulama, Bireysel Çalışma, Problem Çözme
14 Data analysis-application-III Homework Öğretim Yöntemleri:
Alıştırma ve Uygulama, Problem Çözme
15 Data analysis-application-IV Homework Öğretim Yöntemleri:
Alıştırma ve Uygulama, Bireysel Çalışma, Problem Çözme
16 Term Exams Prepare for the exam Öğretim Yöntemleri:
Bireysel Çalışma
17 Term Exams Prepare for the exam Öğretim Yöntemleri:
Bireysel Çalışma


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

Update Time: 18.11.2022 01:44