1991
DOI: 10.1116/1.585819
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Modeling of shot noise in x-ray photoresist exposure

Abstract: New photoresist technologies yielding higher resist sensitivities together with the greater photon energies inherent in x-ray lithography put lithography systems closer and closer to the shot noise limit. Thus there is a need to address the effects of shot noise on resist exposure. We will present the description of a stochastic model, and its implementation in a simulator, which emulates the exposure process by effecting what amounts to a photon-by-photon treatment of the problem, thereby taking into account … Show more

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Cited by 17 publications
(6 citation statements)
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“…The resist blur σ R also provides a way to smooth out the shot noise and improve the CDU as discussed when deriving Eq. (17). However, σ R also affects the edge blur as shown in Eq.…”
Section: Implications For Lithographymentioning
confidence: 94%
See 1 more Smart Citation
“…The resist blur σ R also provides a way to smooth out the shot noise and improve the CDU as discussed when deriving Eq. (17). However, σ R also affects the edge blur as shown in Eq.…”
Section: Implications For Lithographymentioning
confidence: 94%
“…Mathematically, the relevant acid distribution is the convolution of the local dose with a smoothing function S(x). Turner et al 17 also introduced this function and they called it an "influence function". Physically it means that the development of the resist at a particular location depends on the exposure of the resist over the "smoothing width" of S(x).…”
Section: The Modelmentioning
confidence: 98%
“…It has been realized that post-exposure bake (PEB) of the resist induces acid diffusion in the resist 12 . There is also the spatial burring due to a "very long catalytic chain length" in the acid-driven de-protection process 13 .…”
Section: Phenomenlogical Model and Comparison With Experimentsmentioning
confidence: 99%
“…This effect gives line edge roughness or, in other words, a lack of control over the local position of a resist edge. This has long been recognized (Smith 1986(Smith , 1988 and often been discussed (Gallatin 2005, Henke and Torkler 1999, Kotera et al 2002, Leunissen et al 2005, Nakasugi et al 2002, Neureuther 1988, Turner et al 1991. Recently, we developed an analytical model to describe the line-edge position variation (Kruit et al 2004), which we shall illustrate and expand in this paper.…”
Section: Introductionmentioning
confidence: 88%