Issue |
EPL
Volume 108, Number 1, October 2014
|
|
---|---|---|
Article Number | 17010 | |
Number of page(s) | 6 | |
Section | Condensed Matter: Electronic Structure, Electrical, Magnetic and Optical Properties | |
DOI | https://doi.org/10.1209/0295-5075/108/17010 | |
Published online | 08 October 2014 |
Ultrafast optical detection of magnetic inhomogeneity in ferromagnetic La0.67Ca0.33MnO3
1 Department of Physics & Astronomy, Hunter College, the City University of New York 695 Park Avenue, New York, NY 10065, USA
2 Department of Optical Science and Engineering, and Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Fudan University - Shanghai 200433, China
3 Department of Applied Science, The College of William and Mary - Williamsburg, VA 23187, USA
4 Department of Physics, Pennsylvania State University - University Park, PA 16802, USA
(a) hbzhao@fudan.edu.cn
(b) yre@hunter.cuny.edu
Received: 26 June 2014
Accepted: 17 September 2014
Optically excited spin wave resonances in ferromagnetic La0.67Ca0.33MnO3 (LCMO) thin films are probed by subpicosecond Kerr-rotation experiments at 10 K. We identify an extra fundamental mode along with the confined spin wave modes, whose frequency and intensity are independent of film thickness, but depend strongly on the applied magnetic field. We attribute the origin of this mode to magnetic inhomogeneity at the FM ground state. Our results show that the picosecond time-resolved magneto-optical method is a powerful tool for detecting dynamic magnetic inhomogeneity in colossal magneto-resistance manganites.
PACS: 75.78.Jp – Ultrafast magnetization dynamics and switching / 75.30.Et – Exchange and superexchange interactions / 75.47.Lx – Magnetic oxides
© EPLA, 2014
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.