This is an old revision of the document!
RoboLab exercise developed at University of Oslo
To run this exercise click here: http://kj-robolab3.uio.no:8000/RoboLab.html. Before you can run the exercise you need to have booked a time slot (see below) and have installed the appropriate LabView plug-in (as explained on the main RoboLab page).
To book a time slot for using this remote controlled laboratory you must contact Jon Petter Omtvedt (UiO). Please provide full name, affiliation and when you would like to run the exercise. You will not be able to use the system before you have received a username and password.
To understand how gamma radiation is absorbed and attenuated by matter
In this exercise, you use RoboLab to measure the radiation of a γ source with a NaI detector. Absorbers of different materials and varying thickness are placed between the source and the detector to demonstrate how the gamma ray intensity is attenuated by the shielding.
Absorption of Gamma Radiation (to be written)
Robolab procedure for absorption of γ-radiation
Analysing the Data (to be written)
Short explanation of how radiation interact with matter
General theory on absorption of radiation (from NucWik NRC textbook)
About learning benefits from this exercise (to be written)
This RoboLab setup can be used to investigate counting statistics and standard deviation related to measurement of radiation. Attenuate the count rate by selecting a suitable lead absorber thickness and have the students perform measurement series under identical conditions to observe the deviation in the number of counts.
Developed By Jon Petter Omtvedt, Nuclear Chemistry Group Department of Chemistry, University of Oslo, Norway
Feedback and improvement ideas from users (student and teachers) for this RoboLab exercise - absorption of gamma radiation - is collected here RoboLab Exercise Absorption of Gamma Radiation - Feedback.
email: mst@evalion.cz | tel: +420 224 358 331 | Copyright © 2021 A-CINCH
This project has received funding from the Euratom research and training programme 2019–2020 under grant agreement No. 945301.