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Monte Carlo Analysis<br />

Specifying Statistical Variations for Individual Model Parameters<br />

This correlation structure is handled implicitly by the simulator. The transformation is<br />

calculated during the simulation, and the sampling is generated in the space of the independent<br />

variable X.<br />

Related Topics<br />

Specifying Statistical Variations for Individual Model Parameters<br />

Input Sample<br />

Specifying Statistical Variations for Individual<br />

Model Parameters<br />

Individual model parameters may have statistical variations. You can specify these using the<br />

DEV and/or LOT parameters immediately following the model parameter in the .MODEL<br />

statement.<br />

For example, use the following syntax to define an NMOS model with VTO set to 0.6V and<br />

TOX set to 1.5×10 −7 :<br />

.MODEL N NMOS VTO=0.6 TOX=1.5e-7 DEV=1.0e-8<br />

The model parameter TOX has a uniform distribution with σ = 1.0×10 -8 , but VTO has a<br />

constant value. The following specification is equivalent:<br />

.MODEL N NMOS VTO=0.6 TOX=1.5e-7 DEV=6.66%<br />

To use a Gaussian distribution, change the DEV parameter to DEV/GAUSS. Using the same<br />

example, changing the TOX distribution to Gaussian would modify the .MODEL card as<br />

follows:<br />

.MODEL N NMOS VTO=0.6 TOX=1.5e-7 DEV/GAUSS=1.0e-8<br />

Tip<br />

See “.MODEL” in the Eldo Reference Manual.<br />

Related Topics<br />

Statistical Variations on Binning Parameters<br />

Assigning Statistical Variations using the .MCMOD Command<br />

Eldo® User's Manual, 15.3 445

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