aurora-asi-lib: A User-Friendly Auroral All-Sky Imager Analysis Library
Abstract
As the new generation of scientists enter the field of Heliophysics, they are more and more immersed in the open-source Python package driven ecosystem. The versatility and availability of Python and its packages has opened the floodgates for analyzing vast amounts of data without restrictions stemming from expensive proprietary software. One type of data that is widely used within the Heliophysics System Observatory are the auroral all-sky imagers (ASIs), which are emerging as key to understanding multi-scale coupling in the "system of systems" era. To efficiently work with this voluminous dataset, we developed aurora-asi-lib (https://aurora-asi-lib.readthedocs.io/) to easily download, plot, animate, and analyze auroral ASI data. This library supports two ASI arrays, THEMIS and REGO---which are currently the most widely-used imager systems in the auroral precipitation community. We will tour the library's main features and focus on a novel Imager-based architecture that allows aurora-asi-lib to be extendable to other ASI arrays.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2022
- Bibcode:
- 2022AGUFMSH42E2335S