Analysis of Relation Between Magnetic Cluster Size Distribution and Signal Quality for High-Density Recording
We examined the relationship between media cluster size distribution and signal quality to obtain a guideline for developing high-density recording media. Both spin-stand measurement and micromagnetics simulation were used. The cluster size distribution and signal-to-noise ratio (SNR) of various rec...
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| Veröffentlicht in: | IEEE transactions on magnetics 2010-06, Vol.46 (6), p.1576-1579 |
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| container_title | IEEE transactions on magnetics |
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| creator | Hashimoto, Mitsuhiro Ito, Naoto Kashiwase, Hidekazu Ichihara, Takayuki Nakagawa, Hiroyuki Nakamoto, Kazuhiro |
| description | We examined the relationship between media cluster size distribution and signal quality to obtain a guideline for developing high-density recording media. Both spin-stand measurement and micromagnetics simulation were used. The cluster size distribution and signal-to-noise ratio (SNR) of various recording media were evaluated, and the relationship between the two was analyzed by multiple regression. The results demonstrate that the media SNR could be quantitatively estimated from the cluster size distribution (both average sizes and size deviations). Although reducing either the average size or the size deviation was effective for improving the SNR, the impact of reducing the average size was much larger. Moreover, the influence of the average size on the SNR increased as linear density increased due to transition percolation. We concluded that providing guidelines for developing each individual medium at the target recording density is a key step. For high-density recording, in particular, focusing on a small average cluster size is essential in developing media. |
| doi_str_mv | 10.1109/TMAG.2010.2042575 |
| format | Article |
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Both spin-stand measurement and micromagnetics simulation were used. The cluster size distribution and signal-to-noise ratio (SNR) of various recording media were evaluated, and the relationship between the two was analyzed by multiple regression. The results demonstrate that the media SNR could be quantitatively estimated from the cluster size distribution (both average sizes and size deviations). Although reducing either the average size or the size deviation was effective for improving the SNR, the impact of reducing the average size was much larger. Moreover, the influence of the average size on the SNR increased as linear density increased due to transition percolation. We concluded that providing guidelines for developing each individual medium at the target recording density is a key step. For high-density recording, in particular, focusing on a small average cluster size is essential in developing media.</description><identifier>ISSN: 0018-9464</identifier><identifier>EISSN: 1941-0069</identifier><identifier>DOI: 10.1109/TMAG.2010.2042575</identifier><identifier>CODEN: IEMGAQ</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Capped perpendicular recording media ; Clusters ; Cross-disciplinary physics: materials science; rheology ; Density ; Deviation ; Exact sciences and technology ; Grain size ; Guidelines ; Magnetic analysis ; magnetic cluster size distribution ; Magnetic heads ; Magnetic noise ; Magnetic recording ; Magnetic storage ; Magnetism ; Materials science ; Media ; Micromagnetics ; micromagnetics simulation ; Other topics in materials science ; Perpendicular magnetic recording ; Physics ; read-write performance ; Recording ; Signal analysis ; Signal quality ; Size distribution ; Size measurement ; spin-stand measurement ; Studies</subject><ispartof>IEEE transactions on magnetics, 2010-06, Vol.46 (6), p.1576-1579</ispartof><rights>2015 INIST-CNRS</rights><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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Both spin-stand measurement and micromagnetics simulation were used. The cluster size distribution and signal-to-noise ratio (SNR) of various recording media were evaluated, and the relationship between the two was analyzed by multiple regression. The results demonstrate that the media SNR could be quantitatively estimated from the cluster size distribution (both average sizes and size deviations). Although reducing either the average size or the size deviation was effective for improving the SNR, the impact of reducing the average size was much larger. Moreover, the influence of the average size on the SNR increased as linear density increased due to transition percolation. We concluded that providing guidelines for developing each individual medium at the target recording density is a key step. 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Both spin-stand measurement and micromagnetics simulation were used. The cluster size distribution and signal-to-noise ratio (SNR) of various recording media were evaluated, and the relationship between the two was analyzed by multiple regression. The results demonstrate that the media SNR could be quantitatively estimated from the cluster size distribution (both average sizes and size deviations). Although reducing either the average size or the size deviation was effective for improving the SNR, the impact of reducing the average size was much larger. Moreover, the influence of the average size on the SNR increased as linear density increased due to transition percolation. We concluded that providing guidelines for developing each individual medium at the target recording density is a key step. 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| subjects | Capped perpendicular recording media Clusters Cross-disciplinary physics: materials science rheology Density Deviation Exact sciences and technology Grain size Guidelines Magnetic analysis magnetic cluster size distribution Magnetic heads Magnetic noise Magnetic recording Magnetic storage Magnetism Materials science Media Micromagnetics micromagnetics simulation Other topics in materials science Perpendicular magnetic recording Physics read-write performance Recording Signal analysis Signal quality Size distribution Size measurement spin-stand measurement Studies |
| title | Analysis of Relation Between Magnetic Cluster Size Distribution and Signal Quality for High-Density Recording |
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