The role of dipolar interactions for the determination of intrinsic switching field distributions

TL;DR

This study shows that dipolar interactions improve the reliability of the $ riangle H(M, riangle M)$ method in determining intrinsic switching field distributions in perpendicular recording media, with a self-consistency check serving as an effective data quality criterion.

Contribution

It demonstrates the positive impact of dipolar interactions on the $ riangle H(M, riangle M)$ method's accuracy and introduces a self-consistency check as a practical tool for data analysis validation.

Findings

Dipolar interactions enhance the reliability of the $ riangle H(M, riangle M)$ method.

A strong correlation exists between data precision and a self-consistency check.

The self-consistency measure can guide the decision to perform full data analysis.

Abstract

The $\Delta H(M, \Delta M)$ method and its ability to determine intrinsic switching field distributions of perpendicular recording media are numerically studied. It is found that the presence of dipolar interactions in the range of typical recording media substantially enhances the reliability of the $\Delta H(M,\Delta M)$ method. In addition, a strong correlation is observed between the precision of this method and a self-consistency-check of the data sets, which is based upon a simple redundancy measure. This suggests that the latter can be utilized as an efficient criterion to decide if a complete data analysis is warranted or not.