BEANS – distributed data analysis for numerical simulations. Issue Volume 14:Issue S351(2019) (May 2019)

• Record Type: Journal Article
• Authors: Hypki, Arkadiusz; Giersz, Mirek; Askar, Abbas; Belloni, Diogo; Leveque, Agostino
• Editors: Bragaglia, Angela; Davies, Melvyn; Sills, Alison; Vesperini, Enrico
• Is Part Of: Proceedings of the International Astronomical Union. Volume 14:Issue S351(2019)
• Page Start: 460
• Page End: 463
• Publication Date: 2019-05
• Subjects: methods: data analysis, -- numerical, -- statistical – astronomical data bases: miscellaneous; Astronomy -- Congresses; Astronomy -- Periodicals; 520
• DOI: 10.1017/S1743921319007452
• Languages: English
• ISSNs: 1743-9213

Abstract

Abstract: beans is a tool for distributed data analysis. It provides web and command line interface for data analysis and plotting for huge datasets. beans is written in a general form and can be used in any field of research to analyze the data. The main purpose of beans is to provide to the community a versatile tool to store, analyze and then visualize any amount of scientific data (e.g. numerical simulation, observations).