Small and wide angle x-ray scattering tensor tomography are powerful methods
for studying anisotropic nanostructures in a volume-resolved manner, and are
becoming increasingly available to users of synchrotron facilities. The
analysis of such experiments requires, however, advanced procedures and
algorithms, which creates a barrier for the wider adoption of these techniques.
Here, in response to this challenge, we introduce the mumott package. It is
written in Python with computationally demanding tasks handled via just-in-time
compilation using both CPU and GPU resources. The package is being developed
with a focus on usability and extensibility, while achieving a high
computational efficiency. Following a short introduction to the common
workflow, we review key features, outline the underlying object-oriented
framework, and demonstrate the computational performance. By developing the
mumott package and making it generally available, we hope to lower the
threshold for the adoption of tensor tomography and to make these techniques
accessible to a larger research community.

Questo articolo esplora i giri e le loro implicazioni.

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