Quantitative prediction of jump thresholds from microscopic domain physics in the RFIM-based description

Develop a more precise quantitative prediction for the minimal field that triggers avalanche-like switching and for the jump fields in n-doped InAs/Al nanowire Josephson junctions by identifying the precise microscopic origin of the multiple magnetically active domains and relating the typical anisotropy field scale to the observed thresholds.

Background

To capture discrete magnetic reconfigurations, the authors introduce a minimal random-field Ising model (RFIM) describing metastable Barkhausen-like avalanches. They posit that a typical anisotropy field scale could set the minimal field for triggering jumps, but they do not provide a precise predictive relation.

The authors explicitly state that without identifying the microscopic origin of the magnetic domains, they cannot refine the connection between the anisotropy parameter and experimentally observed jump fields, leaving a quantitative predictive framework open.