• DocumentCode
    22778
  • Title

    Channel Characterization and Performance Evaluation of Bit-Patterned Media

  • Author

    Lin, Michael Y. ; Elidrissi, Moulay Rachid ; Kheong Sann Chan ; Eason, Kwaku ; Chua, Matthew ; Asbahi, M. ; Yang, Joel K. W. ; Thiyagarajah, Naganivetha ; Ng, Vincent

  • Author_Institution
    Data Storage Inst. (DSI), Agency for Sci., Technol. & Res. (A*STAR), Singapore, Singapore
  • Volume
    49
  • Issue
    2
  • fYear
    2013
  • fDate
    Feb. 2013
  • Firstpage
    723
  • Lastpage
    729
  • Abstract
    Bit-patterned media (BPM) is a promising approach to push back the onset of the superparamagnetic limit faced by conventional continuous granular media. Today, BPM islands can be fabricated at densities higher than can be characterized by existing methods and full bit-patterned media recording (BPMR) is still a long way off. In this work, we rely on simulations to predict how such islands would perform in a real recording scenario. The grain flipping probability (GFP) model is trained via micromagnetic simulations and reproduces the magnetic profiles used to generate readback signals for channel simulations. The geometrical parameters to the micromagnetic simulations, such as the island size variations and island position jitter are characterized from measurements of islands fabricated via e-beam at various channel densities.
  • Keywords
    magnetic recording; micromagnetics; superparamagnetism; BPM islands; GFP model; bit patterned media recording; channel characterization; continuous granular media; grain flipping probability; micromagnetic simulation; performance evaluation; superparamagnetic limit; Jitter; Magnetic anisotropy; Magnetic heads; Magnetic recording; Media; Micromagnetics; Writing; Bit-patterned media (BPM); grain flipping probability (GFP) model; hard disk drives (HDDs); jitter characterization; magnetic recording; micromagnetic simulations; signal processing;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/TMAG.2012.2226708
  • Filename
    6416988