EMF correction model calibration using asymmetry factor data obtained from aerial images or a patterned layer

1. A computer-implemented method of generating an electromagnetic field (EMF) correction boundary layer (BL) model corresponding to a mask, comprising using a computer to perform a method, the method including:

(a) determining asymmetry factor data from aerial image measurements of a plurality of different gratings representative of features provided on a mask, the aerial image measurements having been made at a plurality of different focus settings; and

(b) determining boundary layer (BL) model parameters of an EMF correction BL model corresponding to the mask by fitting to the asymmetry factor measurements,

wherein step (a) includes determining first asymmetry factor data corresponding to first mask features from aerial measurements of a first grating of the plurality of different gratings, and determining second asymmetry factor data corresponding to second mask features from aerial measurements of a second grating of the plurality of different gratings and different from the first grating, and step (b) includes determining feature-dependent BL model parameters including first BL model parameters and second BL model parameters, the first BL model parameters differing from the second BL model parameters according to a difference between the first and second gratings.

2. The method as claimed in claim 1 , wherein the first and second mask features include line features and the line features of the first and second mask features have differing widths, respectively, such that the first BL model parameters differ from the second BL model parameters according to the difference between the widths of the first and second mask features.

3. The method as claimed in claim 1 , wherein step (b) includes applying the BL model parameters to correct a thin mask approximation (TMA) representation of the mask.

4. The method as claimed in claim 3 , wherein step (b) includes using the calibrated BL model parameters to correct a TMA representation of the mask for EMF effects with respect to unpolarized light.

5. The method as claimed in claim 1 , wherein step (a) includes determining the asymmetry factor data from aerial image measurements made using unpolarized light, and step (b) includes determining BL model parameters which are isotropic by fitting to the asymmetry factor data obtained from the aerial image measurements made using unpolarized light.

6. The method of claim 1 , wherein in performing step (a), the asymmetry factor data are determined from aerial image measurements including X polarization measurements obtained by using light of an X polarization normal to a direction in which lines of the gratings extend, and Y polarization measurements obtained by using light of a Y polarization parallel to the direction in which the lines of the gratings extend; and

wherein step (b) includes determining normal boundary layer model parameters of the EMF correction BL model corresponding to the mask by fitting to the asymmetry factor data corresponding to the X polarization measurements, and

determining parallel boundary layer model parameters of the EMF correction BL model corresponding to the mask by fitting to the asymmetry factor data corresponding to the Y polarization measurements.

7. The method as claimed in claim 6 , further comprising (c) generating isotropic BL model parameters by coherent combination of the normal and parallel BL model parameters.

8. A method as claimed in claim 6 , further comprising (c) applying the EMF correction BL model to a lithographic model of the mask to generate a corrected mask design which is pre-compensated to account for the EMF effects of the mask with respect to unpolarized light.

9. A method of generating a mask corrected for EMF effects, comprising using a computer to perform a method, the method including:

generating an electromagnetic field (EMF) correction boundary layer (BL) model corresponding to a mask by a process comprising:

(a) determining asymmetry factor data from aerial image measurements of a plurality of different gratings representative of features provided on a mask, the aerial image measurements having been made at a plurality of different focus settings;

(b) determining boundary layer (BL) model parameters of an EMF correction BL model corresponding to the mask by fitting to the asymmetry factor measurements; and

(c) applying the EMF correction BL model to a lithographic model of the mask to generate a corrected mask design which is pre-compensated to account for the EMF effects of the mask,

wherein step (a) includes determining first asymmetry factor data corresponding to first mask features from aerial measurements of a first grating of the plurality of different gratings, and determining second asymmetry factor data corresponding to second mask features from aerial measurements of a second grating of the plurality of different gratings and different from the first grating, and step (b) includes determining feature-dependent BL model parameters including first BL model parameters and second BL model parameters, the first BL model parameters differing from the second BL model parameters according to a difference between the first and second gratings.

10. An information processing system comprising:

a processor; and

instructions executable by the processor to perform a method, the method including:

(a) determining asymmetry factor data from aerial image measurements of a plurality of different gratings representative of features provided on a mask, the aerial image measurements having been made at a plurality of different focus settings; and

(b) determining boundary layer (BL) model parameters of an EMF correction BL model corresponding to the mask by fitting to the asymmetry factor measurements,

wherein step (a) includes determining first asymmetry factor data corresponding to first mask features from aerial measurements of a first grating of the plurality of different gratings, and determining second asymmetry factor data corresponding to second mask features from aerial measurements of a second grating of the plurality of different gratings and different from the first grating, and step (b) includes determining feature-dependent BL model parameters including first BL model parameters and second BL model parameters, the first BL model parameters differing from the second BL model parameters according to a difference between the first and second gratings.

11. The information processing system as claimed in claim 10 , wherein in step (a) of the method, the asymmetry factor data are determined from aerial image measurements including X polarization measurements obtained by using light of an X polarization normal to a direction in which lines of the gratings extend, and Y polarization measurements obtained by using light of a Y polarization parallel to the direction in which the lines of the gratings extend;

wherein step (b) of the method includes determining normal boundary layer model parameters of the EMF correction BL model corresponding to the mask by fitting to the asymmetry factor data corresponding to the X polarization measurements, and

determining parallel boundary layer model parameters of the EMF correction BL model corresponding to the mask by fitting to the asymmetry factor data corresponding to the Y polarization measurements.

12. A computer-readable recording medium having instructions recorded thereon, the instructions being executable by a processor to perform a method, the method including:

(a) determining asymmetry factor data from aerial image measurements of a plurality of different gratings representative of features provided on a mask, the aerial image measurements having been made at a plurality of different focus settings; and

(b) determining boundary layer (BL) model parameters of an EMF correction BL model corresponding to the mask by fitting to the asymmetry factor measurements,

wherein step (a) includes determining first asymmetry factor data corresponding to first mask features from aerial measurements of a first grating of the plurality of different gratings, and determining second asymmetry factor data corresponding to second mask features from aerial measurements of a second grating of the plurality of different gratings and different from the first grating, and step (b) includes determining feature-dependent BL model parameters including first BL model parameters and second BL model parameters, the first BL model parameters differing from the second BL model parameters according to a difference between the first and second gratings.

13. The computer-readable recording medium as claimed in claim 12 , wherein in step (a) of the method, the asymmetry factor data are determined from aerial image measurements including X polarization measurements obtained by using light of an X polarization normal to a direction in which lines of the gratings extend, and Y polarization measurements obtained by using light of a Y polarization parallel to the direction in which the lines of the gratings extend, and

wherein step (b) of the method includes determining normal boundary layer model parameters of the EMF correction BL model corresponding to the mask by fitting to the asymmetry factor data corresponding to the X polarization measurements, and determining parallel boundary layer model parameters of the EMF correction BL model corresponding to the mask by fitting to the asymmetry factor data corresponding to the Y polarization measurements.