AXS: A Framework for Fast Astronomical Data Processing Based on Apache Spark-Reference-Cited by-同舟云学术

AXS: A Framework for Fast Astronomical Data Processing Based on Apache Spark

Published:2019-07-01 Issue:1 Volume:158 Page:37
ISSN:1538-3881
Container-title:The Astronomical Journal
language:
Short-container-title:AJ

Author:

Zečević Petar^ORCID,Slater Colin T.^ORCID,Jurić Mario^ORCID,Connolly Andrew J.^ORCID,Lončarić Sven,Bellm Eric C.^ORCID,Golkhou V. Zach^ORCID,Suberlak Krzysztof^ORCID

Publisher

American Astronomical Society

Subject

Space and Planetary Science,Astronomy and Astrophysics

Link

https://iopscience.iop.org/article/10.3847/1538-3881/ab2384/pdf

Reference46 articles.

1. Spark SQL

2. A synoptic map of halo substructures from the Pan-STARRS1 3π survey

3. UPDATE ON THE NATURE OF VIRGO OVERDENSITY

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. 3DT-CM: A Low-complexity Cross-matching Algorithm for Large Astronomical Catalogues Using 3d-tree Approach;Research in Astronomy and Astrophysics;2023-09-20

2. A Survey on Spark Ecosystem: Big Data Processing Infrastructure, Machine Learning, and Applications (Extended abstract);2023 IEEE 39th International Conference on Data Engineering (ICDE);2023-04

3. HLC2: a highly efficient cross-matching framework for large astronomical catalogues on heterogeneous computing environments;Monthly Notices of the Royal Astronomical Society;2023-01-10

4. The Astronomy Commons Platform: A Deployable Cloud-based Analysis Platform for Astronomy;The Astronomical Journal;2022-07-26

5. Astronomical big data processing using machine learning: A comprehensive review;Experimental Astronomy;2022-01-14