DocumentCode
972153
Title
Micromagnetic predictions for signal and noise in barium ferrite recording media
Author
Victoria, R.H. ; Peng, James P.
Author_Institution
Eastman Kodak Co., Rochester, NY, USA
Volume
25
Issue
3
fYear
1989
fDate
5/1/1989 12:00:00 AM
Firstpage
2751
Lastpage
2760
Abstract
A dynamic, micromagnetic recording process simulation is used to predict signal and noise for barium ferrite media. The model has a high spatial (particulate level) and temporal (≈10-9 s) resolution. The theory includes head saturation, image charge, particle magnetostatic interactions, and particle anisotropy. Most input media and head characteristics are taken from direct measurements, such as electron microscopy or magnetometry, or from the literature. However, several variables, such as head-medium spacing, can only be estimated from the available data; errors in these estimates could affect the predicted numbers by several dBV. Overall, the calculations yield very high accuracy; both signal and bulk erase noise match experiment to within ≈1 dBV. This unusually close agreement for the bulk erase noise is obtained without the benefit of particle-particle interactions. This latter point places barium ferrite in interesting contrast to acicular particle media where interactions are believed to substantially reduce short-wavelength bulk erase noise
Keywords
barium compounds; ferrite applications; magnetic properties of fine particles; magnetic recording; noise; BaFe12O19; bulk erase noise; dynamic simulation; ferrite recording media; head saturation; head-medium spacing; image charge; micromagnetic recording process simulation; noise; particle anisotropy; particle magnetostatic interactions; signal prediction; spatial resolution; temporal resolution; Atmospheric modeling; Barium; Ferrites; Magnetic anisotropy; Magnetic heads; Magnetostatics; Micromagnetics; Perpendicular magnetic anisotropy; Predictive models; Saturation magnetization;
fLanguage
English
Journal_Title
Magnetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9464
Type
jour
DOI
10.1109/20.24519
Filename
24519
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