unifying real-space and frequency-space large-scale structure

Today Kate Storey-Fisher (NYU) and I spoke about next projects to do in large-scale structure, now that her first paper on clustering is out. One project is to use the flexibility of her clustering estimator to look at large-scale gradients or variations in the large-scale structure (analagous to power asymmetries in the CMB, for example). We have Abby Williams (NYU) working on this now. Another is to use it to make real-space correlation-function components that are the (appropriate angular averages of) Fourier transforms of power-spectrum (harmonic) modes. If we do that, we can perfectly unify real-space and k-space approaches to large-scale structure, without making the (brutal frankly) approximations that they make in k-space projects. We will have a big carbon footprint, though!