Meet the woman who disproved Riemann, Helmholtz and Schrödinger.
The original goal of the work was to automatically optimize color maps. We need them to help application scientists at LANL understand their data.
Our visualizations help physicists, climate modelers, space weather researchers and many others make sense of vast data streams that might otherwise bury their revelations beneath seemingly endless spreadsheet columns.No, we completely lost track of our original goal. Now, we don't have funding anymore.Yes! So far, we just know that the old model does not work. We want to find out what geometry the space really has.
A path-connected metric space would be a good model. But of course, you have to allow for some perceptual 'noise' like in the theory of Thurstone. Without the stochastical component, it would violate the most fundamental metric property: the identity of indiscernibles, i.e., that zero is only returned if both inputs are identical. You can present two very close colors to an observer between which he will not see a difference even though they are not 100% identical.
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