Parametric Comparison of Modeled and Measured Heat-Assisted Magnetic Recording Using a Common Signal-to-Noise Metric
| Autor: | Stephanie Hernandez, Edward Charles Gage, Tim Rausch, Pin-Wei Huang, Walter R. Eppler, Pavol Krivosik |
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| Rok vydání: | 2016 |
| Předmět: |
010302 applied physics
Materials science Acoustics 01 natural sciences Temperature measurement Electronic Optical and Magnetic Materials Efficiency factor Signal-to-noise ratio Nuclear magnetic resonance Heat-assisted magnetic recording Remanence 0103 physical sciences Waveform Laser power scaling Electrical and Electronic Engineering 010306 general physics Parametric statistics |
| Zdroj: | IEEE Transactions on Magnetics. 52:1-4 |
| ISSN: | 1941-0069 0018-9464 |
| DOI: | 10.1109/tmag.2016.2528224 |
| Popis: | The auto-correlation signal-to-noise (ACSN) method is employed on micromagnetically modeled heat-assisted magnetic recording (HAMR) readback waveforms and compared with experimental ACSN data. The breakdown between transition signal-to-noise ratio (SNR) and remanence SNR is provided for both modeled and measured data. Good agreement is observed between both simulated and experimental SNRs as a function of laser power and as a function of linear density. An efficiency factor that relates maximum temperature observed in the media to the applied laser current is obtained by combining the modeled and experimental data. Usage of this methodology provides SNR metrics that allow a reliable comparison of micromagnetic modeling of HAMR recording systems to experimental measurements. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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