- Inter-faculty Studies in Bioinformatics and Systems Biology
- Bachelor's degree, first cycle programme, Computer Science
- Bachelor's degree, first cycle programme, Mathematics
- Master's degree, second cycle programme, Bioinformatics and Systems Biology
- Master's degree, second cycle programme, Computer Science
- Master's degree, second cycle programme, Mathematics
Workshop on Acceleration and Applications of Heavy Ions 4014-WAZCJ-OG
Laboratory work: Students work in teams of 2-4 people (the group size depends on the project to be realized). Proposed experimental tasks offer them possibilities to get acquainted with:
• a selected experimental nuclear physics technique (gamma-ray spectroscopy, charged particle spectroscopy, X-ray fluorescence, fast-timing measurements with scintillators)
• methods to produce targets for nuclear physics experiments
• modern scientific equipment (HPGe detectors, modern scintillators, related electronics, vacuum systems, elements of ion optics)
• data acquisition systems and modern ICT tools, dedicated for physics data analysis (Radware, ROOT)
• good practice rules of laboratory work (sources handling, safe work with: ion beams, liquid nitrogen detector cooling systems, high voltage power supplies)
Each team takes part in one laboratory exercise, which includes the following elements:
• defining the measurement's goal (proposed experimental tasks usually have character of „open problems”), planning of the measurement
• construction or adaptation of the experimental set-up (most of experimental tasks are performed with use of complex multi-detector set-ups, used in on-going research projects at the Heavy Ion Laboratory; these set-ups have to be adapted for students' measurements, which includes choosing proper detectors, installing targets, setting up the measurement etc. )
• performing the measurement
• data analysis (consistency check, error analysis, estimation of possible systematic errors and reliability of the results)
• preparation of the final presentation (aims of the measurement, applied method, results, comparison with literature values, possible future improvements of the experimental method/set-up)
Lectures offer introduction to basic experimental techniques of nuclear physics, elements of ion optics, accelerator physics, physics of detectors of ionising radiation, applications of nuclear physics in medicine and nuclear energy. Each lecture is given by a different specialist
Type of course
Mode
Prerequisites (description)
Course coordinators
Learning outcomes
Knowledge:
• student knows selected experimental techniques of nuclear physics, elements of physics of seminconductor detectors and ion optics
• knows basic methods to produce targets for nuclear physics measurements
Skills
• student is able to work safely with radioactive sources and heavy ion beam
• can use modern experimental equipment (HPGe detectors, charged particle detectors, vacuum systems); can set-up and test a simple experimental set-up for nuclear physics measurements
• can perform a simple data analysis using dedicated ICT tools (Radware, ROOT etc.)
• can present the performed measurement, methods used and results obtained in a clear and understandable manner
• can collaborate with other team members when planning, performing and analysing measurements
Values
• understands the conclusive role of a measurement in physics
• has a critical attitude towards own results
• understands the meaning of responsibility and carefulness in measurements and data analysis
Assessment criteria
Progress of each group and activity of individual students are monitored and graded by the team supervisor. The assessment whether students have achieved the intended learning outcomes will be based mostly on oral presentations prepared by each group on their measurements and results. These presentations are open to the public and students should be prepared to answer questions from the audience.
Bibliography
will be provided individually by the supervision of each student team
Term 2023Z:
None |
Additional information
Information on level of this course, year of study and semester when the course unit is delivered, types and amount of class hours - can be found in course structure diagrams of apropriate study programmes. This course is related to the following study programmes:
- Inter-faculty Studies in Bioinformatics and Systems Biology
- Bachelor's degree, first cycle programme, Computer Science
- Bachelor's degree, first cycle programme, Mathematics
- Master's degree, second cycle programme, Bioinformatics and Systems Biology
- Master's degree, second cycle programme, Computer Science
- Master's degree, second cycle programme, Mathematics
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: