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Description
Some ideas
- start from simple object:
- e.g. sphere: No matter how align, the projections will give the right alignment, since they are all the same.
- have more complicated object, e.g. several constant boxes of ones of length 10-20 in a total size of n_pix=128
- corrupt initial volume to start with a noisy estimate (e.g. low pass filter by using 3d fft with filter, or add in white noise in 3d)
- generate slices (e.g. 1000)
- call iterative_refinement. Not sure what to pick for sigma, so might want to keep an eye on that.
- check for the following on the returns
- assert that the half maps are close within some threshold: (half_map_1 * half_map_2).sum()2 / (half_map_12.sum()) * (half_map_2**2).sum()) > 0.99
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documentationImprovements or additions to documentationImprovements or additions to documentation