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Make the model visualisations from #13, #28, and #29 interactive with ipywidgets.
For some examples of how to use ipywidgets see this search result on the ComPWA website the examples on the ampform-dpd website, e.g. this one). The examples only show the main idea of ipywidgets plus plotting; some translation will have to be done for what how we want to visualise the models exactly.
There are three types of widgets+matplotlib cells that need to be implemented:
1D histogram
2D histogram
Line plots (e.g. Argand and BW lineshape plots)
Best to start with the notebook that was implemented in #17 ($p\gamma \to p \pi^0 \eta$: the model has the smallest number of parameters and it only contains 1D histograms.
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Make the model visualisations from #13, #28, and #29 interactive with
ipywidgets
.For some examples of how to use
ipywidgets
seethis search result on the ComPWA websitethe examples on theampform-dpd
website, e.g. this one). The examples only show the main idea ofipywidgets
plus plotting; some translation will have to be done for what how we want to visualise the models exactly.There are three types of widgets+matplotlib cells that need to be implemented:
Best to start with the notebook that was implemented in #17 ($p\gamma \to p \pi^0 \eta$ : the model has the smallest number of parameters and it only contains 1D histograms.
Related PRs
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