Nature of project: experimental, data analysis
Available to students on full-time physics degree schemes or joint students.
In imaging applications, image quality is often compromised by impact of cosmic rays on the image sensor. This project is a study of the effect of cosmic ray impacts, the frequency of occurrence and the effectiveness of different strategies for removing artefacts in the final image caused by them.
This project will use a Raspberry Pi microcomputer in association with a standard Raspberry Pi camera. By masking the lens on the camera, it is possible to examine the dark field image on the camera for hot pixel events.
In the event that access to lab facilities is not possible, the project can be completed at home using a standard PC or laptop. All required software (Python/FIJI etc) may be freely downloaded. in these circumstances, a loan of the Raspberry Pi, camera and associated hardware will enable the project to proceed.
A successful project will develop beyond the above in one/some of the following directions:
As an enhancement to the project, the technique should automatically categorise the artefacts on the image in terms of track length and curvature, enabling different sources of the artefact to be determined.
When considering where to take your project, please bear in mind the time available. It is preferable to do fewer things well than to try many and not get conclusive results on any of them. However, sometimes it is useful to have a couple of strands of investigation in parallel to work on in case delays occur.
Additional scope or challenge if taken as a Year-4 project: By considering the detection rate of events on a diurnal cycle, the project should be able to determine a flux of cosmic rays coming from the sun. Additionally, by using 2 or more imaging devices in close proximity and employing co-incidence detection techniques, the project should detect the incidence and direction of cosmic ray events.
Please speak to Dave Langstaff if you consider doing this project.
Initial literature for students:
The project requires some knowledge of image sensor technology and will require a reasonable amount of image processing. Any available image processing technology that allows scripting may be used (FIJI/ImageJ or Python).
|milestone||to be completed by|
|Background work on cMOS sensors & cosmic rays||end of October|
|Strategy to determine cosmic ray flux||Christmas|
|Determination of cosmic ray events as a function of diurnal cycle||end of February|
|Evaluation of remediation strategies.||Easter|
Students taking this project will have to submit a full risk assessment form