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Open-Source Analysis Platform for Solar Energetic Particles provided by SERPENTINE

Authors: Gieseler, Jan; Palmroos, Christian; Dresing, Nina; Morosan, Diana M.; Price, Daniel J.; Yli-Laurila, Aleksi; Asvestari, Eleanna; +2 Authors

Open-Source Analysis Platform for Solar Energetic Particles provided by SERPENTINE

Abstract

The recently expanded heliospheric spacecraft fleet gives unique opportunities to investigate solar eruptive processes like coronal mass ejections (CMEs) and solar energetic particles (SEPs) from multiple viewpoints. But combining all these distinct observations from various instruments onboard different spacecraft is a bothersome task. To achieve maximal impact for exploitation of this data by the wider scientific community, the EU Horizon 2020 project SERPENTINE aims at providing a versatile set of tools. They are provided as open-source Python Jupyter Notebooks and are aimed at non well-versed programming scientists. Next to extensive examples on how to use the multi-spacecraft spatial configuration and solar magnetic connection plotter Solar-MACH, an analysis platform for studying the energetic particle component of the in-situ observations of SEP events has been developed. This analysis platform consists of plotting tools (e.g., energetic particle time series or dynamic spectra) as well as analysis software that allow to automatically derive SEP onsets or estimate the path length and injection time of these particles using a time-shift analysis approach. In this poster, we will give an overview on the already available set of tools and instructions on how to use them, which is also possible completely in the cloud on SERPENTINE’s own JupyterHub server.

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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