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2024-06-16-helsinki-differt2d-presentation.md

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COST INTERACT - DiffeRT2d: A Differentiable Ray Tracing Python Framework for Radio Propagation
Research
Software
ray-tracing
propagation
video
programming
library
jeertmans/DiffeRT2d
path alt
/assets/images/misc/helsinki.jpg
Helsinki Cathedral, Helsinki, Finland - Tapio Haaja, Unsplash
/posts/cost-interact-june-2024-differt2d-presentation/

Presentation of the DiffeRT2d toolbox to the COST INTERACT community.

In the preparation of our submission to the Journal of Open Source Software, I presented the DiffeRT2d Python library at the COST INTERACT meeting, held in Helsinki. This toolbox was used to define and train a Machine Learning model to help tracing paths faster, that we documented in other document presented during this meeting.

Moreover, this toolbox implements both our Min-Path-Tracing method {% cite Eert2303:Min %} and our smoothing technique {% cite Eert2403:Fully %}.

Slides

{% include slides.html url="/assets/slides/2024-06-16-helsinki-differt2d-presentation/slides.html" cite_manim=false %}

References

{% bibliography --cited %}

Source code

Available on GitHub: jeertmans/DiffeRT2d@papers/joss/slides.md{: .filepath}.