10.6084/m9.figshare.6198665.v2
Dino Bektesevic
Dino
Bektesevic
Andrew Connolly
Andrew
Connolly
Magda Balazinska
Magda
Balazinska
Alvin Cheung
Alvin
Cheung
Mario Juric
Mario
Juric
SI2-SSE: Reusable Image Analytics Pipelines tem
figshare
2018
NSF-SI2-2018-Talk
Astrophysics
Instrumentation, Techniques, and Astronomical Observations
Distributed Computing
2018-04-30 14:04:37
Journal contribution
https://figshare.com/articles/journal_contribution/SI2-SSE_Reusable_Image_Analytics_Pipelines_tem/6198665
The Large Synoptic Survey Telescope (LSST) is an 8-m optical ground-based telescope being built on Cerro Pachón in Chile. LSST will survey half the sky every few nights in six optical bands for ten years (imaging each part of the sky about 1000 times). The pipelines developed for LSST boast state-of-the-art image processing algorithms, many of which were developed specifically for the high throughput data. While developed for a specific surveys these algorithms have the potential for broad uptake in the astronomical community if they can be made easily acessible and usable. We introduce here a scalable framework for the analysis of large imaging surveys, designed to operate as a cloud service, incorporate new or legacy image processing algorithms, and to support and optimize complex analysis workflows.