Can we squeeze more cosmology from galaxy surveys by looking at new angles?

Galaxy surveys contain information buried in how gravity pulls matter around in complex nonlinear ways. This work introduces augmented correlation functions—a framework that layers additional mathematical transformations onto standard clustering measurements to isolate patterns invisible to conventional two-point statistics. Testing on simulations shows the method tightens cosmological parameter constraints across the board, suggesting spectroscopic surveys like those planned for DESI could yield sharper answers about dark energy and matter.