Nature of project: software, data analysis
Available to students on full-time physics degree schemes or joint students.
Data taken from the pre-digital age are available but inaccessible unless you have 'time' to format the data into the digital form we use today. Beginning with learning how to input data by hand and check the data: this project then offers an opportunity to write algorithms to read these 'ancient' data. The project involves understanding the instrumentation used to collect the data and the differences involved in collecting data via analogue and digitally. Do we lose resolution? Do we gain resolution? are some of the questions which need to be researched and discussed.
This would suit someone interested in signal processing to digitise images of data and other formats.
A successful project will develop beyond the above in one/some of the following directions:
A choice of the following can occur for development of the research area:
1. An in-depth study of resolution nuances would benefit this research area.
2. An error analysis technique developed for this specific set of images.
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: The student will analyse the data in the context of the physical environment the data are measuring and the physics of the observations explained rather than just the processing done.
Please speak to Heather McCreadie (hem18) if you consider doing this project.
Initial literature for students:
This project will allow the student to create a novel method for extracting ancient geomagnetic records. Use of MatLab is required so H. McCreadie's packages can be used.
|milestone||to be completed by|
|Understanding of data given||end of October|
|algorithms chosen and implementation begun||end of November|
|error analysis of algorithm finalised||end of February|