1999
DOI: 10.1116/1.591081
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PREVAIL: Theory of the proof of concept column electron optics

Abstract: Articles you may be interested inElectron optics using multipole lenses for a low energy electron beam direct writing system Electron optical image correction subsystem in electron beam projection lithography Lie algebraic aberration theory and calculation method for combined electron beam focusing-deflection systems Electron and ion optical design software for integrated circuit manufacturing equipmentThe PREVAIL proof-of-concept ͑POC͒ system is described elsewhere in these proceedings. For theoretical as wel… Show more

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Cited by 15 publications
(9 citation statements)
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“…In like manner, the objective-aberration error is expanded as (12) the field aberrations being negligible (see Section 2.1). Here, , , and σ dif = are the spot radii due to spherical, chromatic, and diffraction aberration, respectively, the diffraction aberration being treated in the Rayleigh approximation.…”
Section: The Influence Of Stochastic Aberrationmentioning
confidence: 99%
“…In like manner, the objective-aberration error is expanded as (12) the field aberrations being negligible (see Section 2.1). Here, , , and σ dif = are the spot radii due to spherical, chromatic, and diffraction aberration, respectively, the diffraction aberration being treated in the Rayleigh approximation.…”
Section: The Influence Of Stochastic Aberrationmentioning
confidence: 99%
“…For nanoimprint templates, it was assumed that 10 times fewer shapes would be written as compared to comparable optical masks. Beam size was assumed to be proportional to the beam current to the 5/6 power using the scaling law proposed by Stickel et al 14 Writing the smaller features on the imprint templates requires a smaller beam current to achieve higher resolution for the primary features. Writing throughput was proportional to beam current.…”
Section: Cost Model For Mask Fabricationmentioning
confidence: 99%
“…In the first case, the system acquires line scans across a simple mark and determines the edges using a peak search or threshold algorithm. [1][2][3][4] In addition to its intuitive nature and computational simplicitiy, edge detection has the advantages that only two onedimensional ͑1D͒ signals ͑one for the x direction and one for the y direction͒ need be acquired and processed.…”
Section: Introductionmentioning
confidence: 99%