Date:
3. March 2023 - 11:45
Speaker:
Savvas Nesseris (IFT Madrid)
Abstract: We present a novel approach, using machine learning, to analytically reconstruct the inflationary potential directly from the CMB data. We also perform feature searches, and we find a dramatic improvement over traditional methods based on simple oscillatory models. Based on arXiv: 2211.14142