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The recently expanded fleet of heliospheric spacecraft presents unique opportunities for exploring solar eruptive phenomena such as coronal mass ejections (CMEs) and solar energetic particles (SEPs) from multiple vantage points. However, the task of integrating diverse observations collected by different instruments across various spacecraft poses a notable challenge. To maximize the utilization of this data within the broader scientific community, the EU Horizon 2020 project SERPENTINE aims to offer a versatile array of tools. These tools, provided as open-source Python Jupyter Notebooks, cater to scientists with limited programming expertise. Alongside comprehensive examples illustrating the utilization of the multi-spacecraft spatial setup 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 comprises visualization tools (e.g., energetic particle time series or dynamic spectra) and analytical software capable of automatically determining SEP onsets or estimating particle path length and injection time via a time-shift analysis approach. Our poster will provide an overview of the available toolkit and instructions on its utilization, which can be seamlessly accessed on SERPENTINEs dedicated JupyterHub server in the cloud.This research has received funding from the European Unions Horizon 2020 research and innovation programme under grant agreement No 101004159 (SERPENTINE).
Gieseler et al. (Fri,) studied this question.
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