KD-tree and HEALPix-based distributed cone search indexing system for multi-band astronomical catalogs

0Citations
Citations of this article
3Readers
Mendeley users who have this article in their library.
Get full text

Abstract

An increasing number of telescopes are being built to provide multi-band data of celestial objects, which is indispensable to astronomical research. The amount of collected observation data, however, have put tremendous pressure on computing systems. Moreover, with the development of the observation equipment, the number of astronomical catalogs that telescopes generated per day keeps increasing rapidly. In this paper, we propose a distributed cone search indexing system (DCSIS) for Multi-Band Astronomical Catalogs among multi-band astronomical catalogs to solve this problem. Major contributions of DCSIS include defining new meta file format for astronomical catalogs, achieving scalability and parallelism for cone search, and the ability to flexibly add data to index system. Evaluations are performed on the Tianhe-1A supercomputer to showcase DCSIS’ scalability for large scale deployment, the results of which show that DCSIS reduce the response time of Multi-band cone search into a tolerant range.

Cite

CITATION STYLE

APA

Li, C., Yu, C., Xiao, J., Hu, X., Fu, H., Li, K., & Huang, Y. (2017). KD-tree and HEALPix-based distributed cone search indexing system for multi-band astronomical catalogs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10393 LNCS, pp. 239–253). Springer Verlag. https://doi.org/10.1007/978-3-319-65482-9_16

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free