The tests from Bozza et. al. 2018 are quite wasteful in the sense that there are tons of false positives. Here's an example:
The red region is where the error is > $10^{-4}$ and the grey region is where the tests says that the full calculation is necessary. I feel like there has to be a way to improve the accuracy of these tests.
Perhaps we should treat this as a machine learning prediction problem and construct physically meaningful features such as
the magnitude of the higher order terms in the multipole expansion and the value of Jacobian.
The tests from Bozza et. al. 2018 are quite wasteful in the sense that there are tons of false positives. Here's an example:
The red region is where the error is > $10^{-4}$ and the grey region is where the tests says that the full calculation is necessary. I feel like there has to be a way to improve the accuracy of these tests.
Perhaps we should treat this as a machine learning prediction problem and construct physically meaningful features such as the magnitude of the higher order terms in the multipole expansion and the value of Jacobian.
Related to #19.