Non-parametric spatial curvature inference using late-universe cosmological probes
Abstract
Inferring high-fidelity constraints on the spatial curvature parameter, K, under as few assumptions as possible, is of fundamental importance in cosmology. We propose a method to non-parametrically infer K from late-Universe probes alone. Using Gaussian Processes (GP) to reconstruct the expansion history, we combine Cosmic Chronometers (CC) and Type Ia Supernovae (SNe~Ia) data to infer constraints on curvature, marginalized over the expansion history, calibration of the CC and SNe~Ia data, and the GP hyper-parameters. The obtained constraints on K are free from parametric model assumptions for the expansion history, and are insensitive to the overall calibration of both the CC and SNe~Ia data (being sensitive only to relative distances and expansion rates). Applying this method to Pantheon SNe~Ia and the latest compilation of CCs, we find K = -0.03 0.26, consistent with spatial flatness at the O(10-1) level, and independent of any early-Universe probes. Applying our methodology to future Baryon Acoustic Oscillations and SNe~Ia data from upcoming Stage IV surveys, we forecast the ability to constrain K at the O(10-2) level.