Signal-to-Noise Ratio in Heat-Assisted-Recording Media:A Comparison between Simulations and Experiments

Abstract

We develop a code to extract the signal-to-noise ratio (SNR) arising from the magnetic film in a recording medium. The approach allows us to separate the remanence and transition contributions from the global spatial noise. The results are in excellent agreement with the analysis performed on the same data sets by means of Seagate proprietary software based on ensemble wave-form analysis. We then apply this analytical approach to the results of heat-assisted magnetic recording (HAMR) dynamics simulations by means of the open-source multi-time-scale micromagnetic code mars and compare these with experimental spin-stand measurements of analogous systems. The proposed model could be used as the standard tool to understand the underlying physics of the noise components affecting HAMR operations and how to decrease the noise arising from the medium to improve the writing performance of HAMR.

Metadata

Item Type:	Article
Authors/Creators:	Meo, Andrea (am1808@york.ac.uk) Pituso, K. Kampun, P. Pornpitakpong, K. Suntives, A. Rannala, S. E. Chantrell, R. W. https://orcid.org/0000-0001-5410-5615 Chureemart, P. Chureemart, J.
Copyright, Publisher and Additional Information:	Funding Information: J.C and P.C. gratefully acknowledge the financial support from Thailand Science Research and Innovation (TSRI). Seagate Technology (Thailand) is acknowledged for guidance and support in the development of the SNR analysis and for very useful discussions. A.M. would like to acknowledge invaluable discussions with Sergio Meo and Rocco Meo. Numerous simulations for this work were undertaken on the Viking Cluster, which is a high-performance computing facility provided by the University of York. We are grateful for the computational support from the University of York High Performance Computing service, Viking, and the Research Computing team. Publisher Copyright: © 2023 American Physical Society.
Dates:	Submitted: 26 November 2022 Accepted: 23 March 2023 Published: 3 April 2023
Institution:	The University of York
Academic Units:	The University of York > Faculty of Sciences (York) > Physics (York)
Depositing User:	Pure (York)
Date Deposited:	31 May 2023 10:10
Last Modified:	16 Apr 2025 23:18
Published Version:	https://doi.org/10.1103/PhysRevApplied.19.054010
Status:	Published
Refereed:	Yes
Identification Number:	10.1103/PhysRevApplied.19.054010
Related URLs:	http://www.scopus.com/inward/record.url?...
Open Archives Initiative ID (OAI ID):	oai:eprints.whiterose.ac.uk:199784

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Description: Signal-to-Noise Ratio in Heat-Assisted-Recording Media: A Comparison between Simulations and Experiments

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Signal-to-Noise Ratio in Heat-Assisted-Recording Media:A Comparison between Simulations and Experiments

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