- Home
- Search Results
- Page 1 of 1
Search for: All records
-
Total Resources2
- Resource Type
-
0001000001000000
- More
- Availability
-
20
- Author / Contributor
- Filter by Author / Creator
-
-
Chiang, Hsin-Fang (2)
-
Bektesevic, Dino (1)
-
Bosch, James (1)
-
Chandler, Claire (1)
-
Connolly, Andrew (1)
-
Cox, Erin G. (1)
-
Harris, Robert J. (1)
-
Jenness, Tim (1)
-
Kratter, Kaitlin (1)
-
Li, Zhi-Yun (1)
-
Lim, Kian-Tat (1)
-
Looney, Leslie W. (1)
-
Miller, Todd L. (1)
-
Perez, Laura (1)
-
Salnikov, Andrei (1)
-
Thain, Greg (1)
-
Tobin, John J. (1)
-
#Tyler Phillips, Kenneth E. (0)
-
#Willis, Ciara (0)
-
& Abreu-Ramos, E. D. (0)
-
- Filter by Editor
-
-
null (1)
-
& Spizer, S. M. (0)
-
& . Spizer, S. (0)
-
& Ahn, J. (0)
-
& Bateiha, S. (0)
-
& Bosch, N. (0)
-
& Brennan K. (0)
-
& Brennan, K. (0)
-
& Chen, B. (0)
-
& Chen, Bodong (0)
-
& Drown, S. (0)
-
& Ferretti, F. (0)
-
& Higgins, A. (0)
-
& J. Peters (0)
-
& Kali, Y. (0)
-
& Ruiz-Arias, P.M. (0)
-
& S. Spitzer (0)
-
& Sahin. I. (0)
-
& Spitzer, S. (0)
-
& Spitzer, S.M. (0)
-
-
Have feedback or suggestions for a way to improve these results?
!
Note: When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher.
Some full text articles may not yet be available without a charge during the embargo (administrative interval).
What is a DOI Number?
Some links on this page may take you to non-federal websites. Their policies may differ from this site.
-
null (Ed.)The Legacy Survey of Space and Time, operated by the Vera C. Rubin Observatory, is a 10-year astronomical survey due to start operations in 2022 that will image half the sky every three nights. LSST will produce ~20TB of raw data per night which will be calibrated and analyzed in almost real-time. Given the volume of LSST data, the traditional subset-download-process paradigm of data reprocessing faces significant challenges. We describe here, the first steps towards a gateway for astronomical science that would enable astronomers to analyze images and catalogs at scale. In this first step, we focus on executing the Rubin LSST Science Pipelines, a collection of image and catalog processing algorithms, on Amazon Web Services (AWS). We describe our initial impressions of the performance, scalability, and cost of deploying such a system in the cloud.more » « less
-
Cox, Erin G.; Harris, Robert J.; Looney, Leslie W.; Chiang, Hsin-Fang; Chandler, Claire; Kratter, Kaitlin; Li, Zhi-Yun; Perez, Laura; Tobin, John J. (, The Astrophysical Journal)
An official website of the United States government

Full Text Available