Materials Galaxy provides access to tools for tackling computational challenges in muon spectroscopy and X-ray absorption spectroscopy.
Materials Galaxy is based on the Galaxy framework, which guarantees simple access, easy extension, flexible adaption to personal and security needs, and sophisticated analyses independent of command-line knowledge.
Take an interactive tour: Galaxy UI History Scratchbook
Or try these tutorials:
The history is the foundation of reproducibility and transparency in Galaxy. It captures inputs, parameters, and versions of the used tools. It can be shared with everyone, even outside the Galaxy framework.
Galaxy provides also a powerful workflow system. Workflows can be created by extraction of workflows from histories or from scratch with drag-and-drop. They are downloadable and shareable with everyone, no vendor lock-in. Click 'All Workflows' in the tool panel to see the available public workflows or build your own.
Materials Galaxy is run by members of the Muon Spectroscopy Computational Project. You can contact us in the Galaxy for Materials Science Matrix channel. We have expertise in applying computational muon science tools (including those present in Materials Galaxy) to complex physical systems. We are happy to provide support with learning Galaxy, learning our muon and XAS science tools, and applying these tools to particular physical systems.
We are aiming to maintain high competency and provide high-quality data analysis services to all our Galaxy users.
Therefore, we request that you acknowledge this service by including the members of the Muon Spectroscopy Computational Project as co-authors if they have made a significant intellectual and/or organizational contribution to the work described (conceptualization, design, data analysis, data interpretation and/or input into drafting, revising or writing any portion of the manuscript).
Individuals who have contributed to the project, but whose contributions do not rise to the level justifying authorship, can be recognized in the acknowledgements section of the manuscript as follows:
The authors acknowledge the support of the Muon Spectroscopy Computational Project: Person X and Person Z, Science and Technology Facilities Council, UK Research and Innovation, co-funded by the Ada Lovelace Centre, Scientific Computing Department, STFC, UKRI, and Horizon Europe grant 101057388 (EuroScienceGateway).
Additional funding of projects as well as the provision of material expenses is welcome to support our growing Galaxy community. Please also cite the main Galaxy publication.