Full metadata
Title
UVLabel A Tool for the Future of Interferometry Analysis
Description
UVLabel was created to enable radio astronomers to view and annotate their own data such that they could then expand their future research paths. It simplifies their data rendering process by providing a simple user interface to better access sections of their data. Furthermore, it provides an interface to track trends in their data through a labelling feature.
The tool was developed following the incremental development process in order to quickly create a functional and testable tool. The incremental process also allowed for feedback from radio astronomers to help guide the project's development.
UVLabel provides both a functional product, and a modifiable and scalable code base for radio astronomer developers. This enables astronomers studying various astronomical interferometric data labelling capabilities. The tool can then be used to improve their filtering methods, pursue machine learning solutions, and discover new trends. Finally, UVLabel will be open source to put customization, scalability, and adaptability in the hands of these researchers.
The tool was developed following the incremental development process in order to quickly create a functional and testable tool. The incremental process also allowed for feedback from radio astronomers to help guide the project's development.
UVLabel provides both a functional product, and a modifiable and scalable code base for radio astronomer developers. This enables astronomers studying various astronomical interferometric data labelling capabilities. The tool can then be used to improve their filtering methods, pursue machine learning solutions, and discover new trends. Finally, UVLabel will be open source to put customization, scalability, and adaptability in the hands of these researchers.
Date Created
2019
Contributors
- La Place, Cecilia (Author)
- Bansal, Ajay (Thesis advisor)
- Jacobs, Daniel (Thesis advisor)
- Acuna, Ruben (Committee member)
- Arizona State University (Publisher)
Topical Subject
Resource Type
Extent
64 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.I.53791
Level of coding
minimal
Note
Masters Thesis Software Engineering 2019
System Created
- 2019-05-15 12:32:18
System Modified
- 2021-08-26 09:47:01
- 3 years 2 months ago
Additional Formats