Interactive Web-Based Visualization of Multidimensional Physical and Astronomical Data

In this article, we propose expanding the use of scientific repositories such as Zenodo and HEP data, in particular, to better study multiparametric solutions of physical models. The implementation of interactive web-based visualizations enables quick and convenient reanalysis and comparisons of phe...

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Detalles Bibliográficos
Autores principales: Diblen, Faruk, Hendriks, Luc, Stienen, Bob, Caron, Sascha, Bakhshi, Rena, Attema, Jisk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Big Data
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8264300/
https://www.ncbi.nlm.nih.gov/pubmed/34250466
http://dx.doi.org/10.3389/fdata.2021.626998
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author Diblen, Faruk
Hendriks, Luc
Stienen, Bob
Caron, Sascha
Bakhshi, Rena
Attema, Jisk
author_facet Diblen, Faruk
Hendriks, Luc
Stienen, Bob
Caron, Sascha
Bakhshi, Rena
Attema, Jisk
author_sort Diblen, Faruk
collection PubMed
description In this article, we propose expanding the use of scientific repositories such as Zenodo and HEP data, in particular, to better study multiparametric solutions of physical models. The implementation of interactive web-based visualizations enables quick and convenient reanalysis and comparisons of phenomenological data. To illustrate our point of view, we present some examples and demos for dark matter models, supersymmetry exclusions, and LHC simulations.
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spelling pubmed-82643002021-07-09 Interactive Web-Based Visualization of Multidimensional Physical and Astronomical Data Diblen, Faruk Hendriks, Luc Stienen, Bob Caron, Sascha Bakhshi, Rena Attema, Jisk Front Big Data Big Data In this article, we propose expanding the use of scientific repositories such as Zenodo and HEP data, in particular, to better study multiparametric solutions of physical models. The implementation of interactive web-based visualizations enables quick and convenient reanalysis and comparisons of phenomenological data. To illustrate our point of view, we present some examples and demos for dark matter models, supersymmetry exclusions, and LHC simulations. Frontiers Media S.A. 2021-06-24 /pmc/articles/PMC8264300/ /pubmed/34250466 http://dx.doi.org/10.3389/fdata.2021.626998 Text en Copyright © 2021 Diblen, Hendriks, Stienen, Caron, Bakhshi and Attema. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Big Data
Diblen, Faruk
Hendriks, Luc
Stienen, Bob
Caron, Sascha
Bakhshi, Rena
Attema, Jisk
Interactive Web-Based Visualization of Multidimensional Physical and Astronomical Data
title Interactive Web-Based Visualization of Multidimensional Physical and Astronomical Data
title_full Interactive Web-Based Visualization of Multidimensional Physical and Astronomical Data
title_fullStr Interactive Web-Based Visualization of Multidimensional Physical and Astronomical Data
title_full_unstemmed Interactive Web-Based Visualization of Multidimensional Physical and Astronomical Data
title_short Interactive Web-Based Visualization of Multidimensional Physical and Astronomical Data
title_sort interactive web-based visualization of multidimensional physical and astronomical data
topic Big Data
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8264300/
https://www.ncbi.nlm.nih.gov/pubmed/34250466
http://dx.doi.org/10.3389/fdata.2021.626998
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