Detailed Information on Publication Record
2010
Near-field optical microscopy simulations using graphics processing units
KLAPETEK, Petr and Miroslav VALTRBasic information
Original name
Near-field optical microscopy simulations using graphics processing units
Authors
KLAPETEK, Petr (203 Czech Republic, guarantor) and Miroslav VALTR (203 Czech Republic)
Edition
Surface and Interface Analysis, 2010, 1096-9918
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
10306 Optics
Country of publisher
Czech Republic
Confidentiality degree
není předmětem státního či obchodního tajemství
Impact factor
Impact factor: 1.249
RIV identification code
RIV/00216224:14310/10:00040193
Organization unit
Faculty of Science
UT WoS
000281149700142
Keywords in English
scanning near-field optical microscopy; finite difference in time domain; graphics processing unit
Tags
International impact, Reviewed
Změněno: 21/7/2010 10:10, Mgr. Miroslav Valtr, Ph.D.
Abstract
V originále
Scanning near-field optical microscopy(NSOM)is a perspective method for local analysis of optical parameters of nanostructures used in electro-optics, photonics and many other field of research. One of the approaches to determine the effects of topography on optical data is to simulate NSOM images using an electromagnetic field modeling method, e.g. finite difference in time domain method. However, this approach is extremely slow, as full electromagnetic field propagation calculation must be run for each pixel of the resulting simulated image. In this paper, we present a fast method for computing simulated NSOM images based on the use of a graphics processing unit (GPU or computer graphics card) in order to speed up the computations. We will show that the large speedup using this approach (more than 40 times) allows us to simulate images in a time comparable to their real measurement, which increases the possibilities of quantitative analysis using NSOM. Data simulated by a GPU will be compared with those of real measurements as well.
Links
FT-TA3/142, research and development project |
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KAN311610701, research and development project |
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