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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Data Science Strategies for Multimessenger Astronomy

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Author(s):
Rosa, Reinaldo R. [1]
Total Authors: 1
Affiliation:
[1] Natl Inst Space Res INPE, Lab Comp & Appl Math LABAC, Av Astronautas 1758, BR-12245690 Sao Jose Dos Campos, SP - Brazil
Total Affiliations: 1
Document type: Journal article
Source: Anais da Academia Brasileira de Ciências; v. 93, n. 1 2020.
Web of Science Citations: 0
Abstract

This article aims to identify and suggest data science strategies to strengthen scientific research in astronomy. The improvements in data workflow performance that can be provided by these strategies can be crucial to the multimessenger astronomy (MMA). A special focus is given to the treatment of raw data in the context of big data networks for BRICS astronomy initiatives. A preliminary design of a prototype that incorporates an MMA data cube into a data lake system is presented. (AU)

FAPESP's process: 14/11156-4 - What drives the stellar mass growth of Early-Type galaxies? Born or made: the saga continues
Grantee:Reinaldo Ramos de Carvalho
Support Opportunities: Research Projects - Thematic Grants