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BEANS – distributed data analysis for numerical simulations

Published online by Cambridge University Press:  11 March 2020

Arkadiusz HypkiOpen the ORCID record for Arkadiusz Hypki[Opens in a new window],
Mirek GierszOpen the ORCID record for Mirek Giersz[Opens in a new window],
Abbas AskarOpen the ORCID record for Abbas Askar[Opens in a new window],
Diogo BelloniOpen the ORCID record for Diogo Belloni[Opens in a new window] and
Agostino LevequeOpen the ORCID record for Agostino Leveque[Opens in a new window]
Arkadiusz Hypki
Affiliation:
Astronomical Observatory Institute, Faculty of Physics, A. Mickiewicz University, Słoneczna 36, 60-286Poznań, Poland email: ahypki@amu.edu.pl
Mirek Giersz
Affiliation:
Nicolaus Copernicus Astronomical Centre, Polish Academy of Sciences, Warsaw, Poland email: mig@camk.edu.pl
Abbas Askar
Affiliation:
Lund Observatory, Department of Astronomy, and Theoretical Physics, Lund University, Box 43, SE-221 00Lund, Sweden email: askar@astro.lu.se
Diogo Belloni
Affiliation:
National Institute for Space Research, São José dos Campos, Brazil email: diogo.belloni@inpe.brInstituto de Física y Astronomía, Universidad de Valparaíso, Valparaíso, Chile
Agostino Leveque
Affiliation:
Nicolaus Copernicus Astronomical Centre, Polish Academy of Sciences, Warsaw, Poland email: mig@camk.edu.pl
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Abstract

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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).

Keywords

methods: data analysisnumericalstatistical – astronomical data bases: miscellaneous

References

Giersz, M., Heggie, D. C., Hurley, J. R., & Hypki, A. 2013, MNRAS 431, 2184CrossRefGoogle Scholar
Hypki, A. & Giersz, M., 2013, MNRAS, 429, 1221CrossRefGoogle Scholar
Hypki, A. 2018, MNRAS, 477, 3076CrossRefGoogle Scholar
Dean, J. & Ghemawat, S. 2008, Commun. ACM, 51, 107CrossRefGoogle Scholar