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BEANS-distributed data analysis for numerical simulations

Hypki, Arkadiusz ; Giersz, Mirek ; Askar, Abbas LU orcid ; Belloni, Diogo and Leveque, Agostino (2019) In Proceedings of the International Astronomical Union 14(351). p.460-463
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).

Please use this url to cite or link to this publication:
author
; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
methods: data analysis, numerical, statistical-astronomical data bases: miscellaneous
in
Proceedings of the International Astronomical Union
volume
14
issue
351
pages
4 pages
publisher
Cambridge University Press
external identifiers
  • scopus:85082018632
ISSN
1743-9213
DOI
10.1017/S1743921319007452
language
English
LU publication?
yes
id
d619e9bb-1e14-4e70-8581-263760fab151
date added to LUP
2020-04-14 14:25:24
date last changed
2025-10-14 12:10:39
@article{d619e9bb-1e14-4e70-8581-263760fab151,
  abstract     = {{<p>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).</p>}},
  author       = {{Hypki, Arkadiusz and Giersz, Mirek and Askar, Abbas and Belloni, Diogo and Leveque, Agostino}},
  issn         = {{1743-9213}},
  keywords     = {{methods: data analysis; numerical; statistical-astronomical data bases: miscellaneous}},
  language     = {{eng}},
  number       = {{351}},
  pages        = {{460--463}},
  publisher    = {{Cambridge University Press}},
  series       = {{Proceedings of the International Astronomical Union}},
  title        = {{BEANS-distributed data analysis for numerical simulations}},
  url          = {{http://dx.doi.org/10.1017/S1743921319007452}},
  doi          = {{10.1017/S1743921319007452}},
  volume       = {{14}},
  year         = {{2019}},
}