Speaker
Dr
Peter Hague
(University of Cambridge)
Description
Extracting meaningful data products form large, heterogenous sets of multiple radio observations can be labour intensive and difficult. We present STOA (Script Tracking for Observational Astronomy), a web application that provides a fast run-test-rerun work cycle for these situations. We demonstrate a use case on the ALMA archive and show how STOA can integrate with existing software and work patterns.
Primary author
Dr
Peter Hague
(University of Cambridge)
