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Use randomized SVD to reduce computational time (plus, the volume matrix is low rank)
Instead of projecting all volumes to the same subspace, project each submission into it's own subspace. Compare submissions by computing the angle between subspaces.
Keep the possibility of choosing a reference submission (or GT) and project all submissions there.
Allow the user to specify masking the volumes
Allow the user to choose a b-factor for b-factor normalization
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