How machine learning conquers the unitary limit

Bastian Kaspschak,Ulf-G Meißner

Figure 5. Predictions ${ \mathcal A }({\boldsymbol{U}})$ of scattering lengths by the quotient ${ \mathcal A }$ versus the targets a0. The point cloud becomes broader for unnaturally large scattering lengths. Nonetheless it is still distributed sufficiently close around the bisector, which indicates that ${ \mathcal A }$ generalizes well and reproduces the correct behavior of a0 around Σ1.