Abstract
In this work the analysis of noise especially the transition jitter noise is used to evaluate the areal density which are consider as one of the most important characteristics in magnetic recording systems. This is possible through the analytical evaluation of the signal noise ratio (SNR) using kink soliton as domain wall profile and assuming that, the transition noise are the dominant noise in recording media. The intrinsic parameters and experimental values for magnetic recording media especially the domain wall width are chosen to emphasize the impact of noise in a certain simple materials and compounds materials used to manufacture recording media. The comparative study on evolution of areal density is done to reinforce the fact that noise can governed the magnetic density, where the values
Highlights
It is not a secret that magnetic recording systems are best devices to store and recall information
It becomes important to have a good knowledge on properties of magnetic materials that made up many class of recording system
Using the signal noise ratio relation, we prove that, using the domain wall (DW) kink soliton transition in recording systems it is possible to improve de linear and areal density
Summary
It is not a secret that magnetic recording systems are best devices to store and recall information. It becomes important to have a good knowledge on properties of magnetic materials that made up many class of recording system. The most important property no doubt is the one possess by magnetic materials to orientate naturally its magnetization. This magnetization orientation is according to a certain direction said easy anisotropic axes; allowing the formation of regions called domains where that magnetization is constant. Two consecutive magnetic regions are separated by the transition region called domain wall. In other word the region separating the consecutive domains, where the direction of magnetization changes are called magnetic domain wall (DW). Study of magnetic domain walls is remaining at the forefront of the recoding memory activity
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