- 1Helmholtz Centre for Environmental Research GmbH - UFZ, Leipzig, Germany
- 2Helmholtz-Zentrum, Dresden-Rossendorg, Germany,
- 3Department of Civil Engineering, University of Bristol, Bristol, UK
- 4Cabot Institute for the Environment, University of Bristol, Bristol, UK
The increasing adoption of Cosmic-Ray Neutron Sensors (CRNS), across research infrastructures and beyond, necessitates standardised and flexible processing tools. Such tools should be accessible to new users with little experience in CRNS, as well as support researchers investigating novel processing methodologies and developing new theoretical frameworks. Here we present neptoon; an open-source python tool, using a modular, expandable framework, to ensure long term viability and software sustainability. Building from previous CRNS processing tools, we will present the overall architecture of neptoon and how it implements established processing methodologies while maintaining extensibility for emerging approaches. We will demonstrate streamlined data processing workflows through our configuration system and graphical user interface. We will show how neptoon supports replicability when processing sensors, supporting rapid updates when needed. Furthermore, we will showcase how neptoon enables systematic testing of new processing theories for CRNS, such as alternative correction methods, leading to a software that supports both operational deployment and methodological research. Lastly we will outline our roadmap for neptoon, explaining features which will be implemented in the near future. By creating a fully documented software toolset for processing, we aim to support the growing community of CRNS users and researchers.
How to cite: Power, D., Zacharias, S., Erxleben, F., Rosolem, R., and Schrön, M.: neptoon: An extensible software package for processing CRNS data, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-18234, https://doi.org/10.5194/egusphere-egu25-18234, 2025.