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Third-Cycle Courses

Faculty of Engineering | Lund University

Details for the Course Syllabus for Course FKFN05F valid from Autumn 2016

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General
Aim
  • The course aim is a deeper insight into experimental physics and nuclear physics in particular and to give an overview of the tool box available for the experimentalist.
    The doctoral student will learn to understand and apply generic experimental tools and techniques used in the natural sciences and in particular in physics. In addition, the student will be oriented on contemporary large-scale infrastructure for physics research e.g. MAX IV, ESS, DESY, CERN.
    The course elements are dedicated to different subjects and focus for the individual student will be on those parts not earlier encountered.
Contents
  • Accelerators and radiation sources
    Interaction of radiation with matter.
    Detectors and instrumentation for nuclear physics experiment
    Analogue and digital electronics
    Statistical analysis, experimental planning, simulation
    The function of accelerators and radiation sources is presented both in lectures and during along study visits to the research divisions, which show and explain the infrastructure being used to create controlled reactions. The practical exercises are important and are mainly performed with research equipment at the department. For well performed experiments, statistical analysis, data handling and simulations are necessary and this is treated as separate projects.
Knowledge and Understanding
  • For a passing grade the doctoral student must
  • have good knowledge about nuclear physics measurement systems
    describe the functioning of accelerators and light sources.
    be familiar with the properties of the beams leading to certain reactions and also their interaction with matter.
    explain the relationship between the kinds of beams leading to certain reactions.
    be familiar with how to perform nuclear physics experiments and how to evaluate them.
    have detailed knowledge of basic statistical methods for error treatment and level of confidence.
    have knowledge of signal treatment from sensor to data storage
Competences and Skills
  • For a passing grade the doctoral student must
  • be able to plan a nuclear physics measurement.
    be able to use regression and non-linear curve fitting to data points by means of chi-2 minimisation and determine statistical uncertainties and judge on the chance nature of a result.
    be able to write a report that critically comment and summarize published results on a course subject.
    be able to present their own work orally and discuss presentations by other students critically.
    be able to judge if reported results are reasonable.
    have developed skills for collaboration in realising an experimental measurement system.
Judgement and Approach
  • For a passing grade the doctoral student must
  • be able to seek relevant scientific information on a course subject and summarize it in a report.
Types of Instruction
  • Lectures
  • Seminars
  • Laboratory exercises
  • Exercises
  • Project
  • Study visit
  • Lectures, tutorials, laboratory exercises, project, and study visits
Examination Formats
  • Written report
  • Written assignments
  • In order to pass the course the student is required to have approved practical reports, to have acceptable hand-in exercises, and to have actively participated in all compulsory course elements and tutorials.
  • Failed, pass
Admission Requirements
  • FAFF10 Atomic and Nuclear Physics with Applications, or similar.
Assumed Prior Knowledge
Selection Criteria
Literature
  • Leo, William R.: Techniques for Nuclear and Particle Physics Experiments: A How-to Approach. Springer Verlag, 1994. ISBN 9780387572802.
    Ekström, P.: Compendium in Statistics and Treatment of Experimental data.
    Krane, K.S.: Introductory Nuclear Physics (ch. 15 and 20). John Wiley & Sons, 1988. ISBN 047180553X.
    Kompendium i acceleratorfysik.
    Artiklar utdelade vid studiebesök och för projekt.
Further Information
Course code
  • FKFN05F
Administrative Information
  •  -04-28
  • FN1/AndersGustafsson

All Published Course Occasions for the Course Syllabus

1 course occasion.

Start Date End Date Published
2016‑11‑02 2017‑01‑15

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