Data Science Strategies for Multimessenger Astronomy
| Autor: | Reinaldo R. Rosa |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Computer science
Astronomy Science Big data data cube Context (language use) 02 engineering and technology 01 natural sciences Data cube data lake big data 0103 physical sciences 0202 electrical engineering electronic engineering information engineering MMA 010303 astronomy & astrophysics Multidisciplinary business.industry Data Science 020206 networking & telecommunications Astronomical data science Data science Workflow Raw data business |
| Zdroj: | Anais da Academia Brasileira de Ciências Anais da Academia Brasileira de Ciências, Volume: 93 Supplement 1, Article number: e20200861, Published: 28 SEP 2020 Anais da Academia Brasileira de Ciências v.93 suppl.1 2021 Academia Brasileira de Ciências (ABC) instacron:ABC |
| ISSN: | 1678-2690 0001-3765 |
| DOI: | 10.1590/0001-3765202020200861 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|