Concepts for Future Hadron Collider Experiments 2
This module handbook serves to describe contents, learning outcome, methods and examination type as well as linking to current dates for courses and module examination in the respective sections.
Module version of SS 2019 (current)
There are historic module descriptions of this module. A module description is valid until replaced by a newer one.
|available module versions|
|SS 2019||SS 2018||SS 2017|
PH2247 is a semester module in German or English language at Master’s level which is offered in summer semester.
This Module is included in the following catalogues within the study programs in physics.
- Specific catalogue of special courses for nuclear, particle, and astrophysics
- Complementary catalogue of special courses for condensed matter physics
- Complementary catalogue of special courses for Biophysics
- Complementary catalogue of special courses for Applied and Engineering Physics
If not stated otherwise for export to a non-physics program the student workload is given in the following table.
|Total workload||Contact hours||Credits (ECTS)|
|150 h||30 h||5 CP|
Responsible coordinator of the module PH2247 is Oliver Kortner.
Content, Learning Outcome and Preconditions
In the second part of the lecture "Concepts for Experiments at Future Hadron Colliders" the following topics are covered:
I. Statistical methods for data analysis:
- methods of point estimation
- methods of interval estimation
- tests of simple and composed hypotheses
II. Methods of particle identification:
- detection of charged particle, method of track reconstruction and momentum determination
- electron and muon identification
- jet algorithms
III. Basic principles of the electronics for the read-out of particle detectors:
- signal types: analog and digital signals
- basic circuits for the processing of analog signals
- basic digital circuits
IV. Basics principle of modern trigger systems:
- conventional hardware triggers
- modern hardware triggers as a synthesis of hardware and software triggers
After successful completion of the module the students are able to:
- perform statistical analysis of experimental data
- develop and apply algorithms for event reconstruction and particle identification
- design simple read-out electronics circuits
- develop triggering concepts
No preconditions in addition to the requirements for the Master’s program in Physics.
Courses, Learning and Teaching Methods and Literature
Courses and Schedule
|VO||2||Concepts for Future Hadron Collider Experiments 2||Kortner, O.||
Fri, 10:00–12:00, PH 1121
Learning and Teaching Methods
The lecture covers four major topics which build upon each other. Each topic is introduced with intuitive examples and then worked out step by step. At the end of each topic the learned methods are applied to relevant problems of present-day experimental particle physics. On request by the students illustrating computer programmes will be written during the lecture in cooperation with the students.
- lecture notes
- supplementary Powerpoint presentations
- F. James: Statistical Methods in Experimental Physics, WSPC, (2006)
- I. Brock & Th. Schörner-Sadenius: Physics at the Terascale, Wiley-VCH, (2011)
- W.R. Leo: Techniques for Nuclear and Particle Physics Experiments, Springer, (1994)
Description of exams and course work
There will be an oral exam of about 25 minutes duration. Therein the achievement of the competencies given in section learning outcome is tested exemplarily at least to the given cognition level using comprehension questions and sample calculations.
For example an assignment in the exam might be:
- What is a simple hypothesis?
- What is a likelihood function?
- Give a simplified description of an algorithm for the reconstruction of charged particle tracks!
- What signal types do you know?
- Describe a simple electronics circuit for an inverting amplifier!
In the exam no learning aids are permitted.
The exam may be repeated at the end of the semester.