Reconstructions of Jupiter's magnetic field using physics informed neural networks

arXiv:2403.07507v1 Announce Type: cross
Abstract: Magnetic sounding using data collected from the Juno mission can be used to provide constraints on Jupiter's interior. However, inwards continuation of reconstructions assuming zero electrical conductivity and a representation in spherical harmonics are limited by the enhancement of noise at small scales. In this paper we describe new reconstructions of Jupiter's internal magnetic field based on physics-informed neural networks and either the first 33 (PINN33) or the first 50 (PINN50) of Juno's orbits. The …

abstract arxiv astro-ph.ep constraints cs.lg data however jupiter mission networks neural networks noise physics representation small type