BEANS-distributed data analysis for numerical simulations
(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:
https://lup.lub.lu.se/record/d619e9bb-1e14-4e70-8581-263760fab151
- author
- Hypki, Arkadiusz ; Giersz, Mirek ; Askar, Abbas LU ; Belloni, Diogo and Leveque, Agostino
- organization
- publishing date
- 2019
- 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
- 2024-03-20 08:48:00
@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}}, }