Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/114634
DC FieldValue
dc.titleDifferential algebraic method for aberration analysis of electron optical systems
dc.contributor.authorCheng, M.
dc.contributor.authorLu, Y.
dc.contributor.authorYao, Z.
dc.date.accessioned2014-12-02T08:39:05Z
dc.date.available2014-12-02T08:39:05Z
dc.date.issued2004
dc.identifier.citationCheng, M.,Lu, Y.,Yao, Z. (2004). Differential algebraic method for aberration analysis of electron optical systems. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3045 : 729-735. ScholarBank@NUS Repository.
dc.identifier.issn03029743
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/114634
dc.description.abstractDifferential algebraic method is a powerful technique in computer numerical analysis. It presents a straightforward method for computing arbitrary order derivatives of functions with extreme high accuracy limited only by the machine error. When applied to nonlinear dynamics systems, the arbitrary high order transfer properties of the system can be derived directly. In this paper, the principle of differential algebraic method is applied to calculate high order aberrations of electron optical systems. As an example, an electrostatic lens with an analytical expression has been calculated using this method. Relative errors of the Gaussian properties and spherical aberration coefficient of the lens compared with the analytic solutions are of the order 10-11 or smaller. It is proved that differential algebraic aberration method is very helpful with high accuracy for high order aberration analysis and computation of electron optical systems. © Springer-Verlag Berlin Heidelberg 2004.
dc.sourceScopus
dc.subjectAberration analysis
dc.subjectDifferential algebra
dc.subjectElectron optical systems
dc.typeArticle
dc.contributor.departmentSINGAPORE-MIT ALLIANCE
dc.description.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.description.volume3045
dc.description.page729-735
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.