
The PySPEDAS development team has used LLMs, with varying degrees of success, to assist in development of new features, and porting of SPEDAS capabilities to Python. Inspired by early demos of a Python Heliophysics Community chatbot, PySPEDAS intends to leverage current LLM technology to assist users in navigating PySPEDAS and other heliophysics tools, and bridge the gap between high-level heliophysics concepts (e.g. reconnection, energy transfer, magnetospheric structures) and the software tools, data sets, and workflows to study them.
| selected citations These citations are derived from selected sources. 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
