Method for capturing and compensating ambient effects in a measuring microscope

1. A method for capturing the influence of ambient conditions on an imaging scale in a measuring microscope of a mask inspection system or a wafer inspection system,

wherein a modification of the optical properties in the measuring microscope that is caused by a change in the ambient conditions is measured by use of a reference measurement system,

wherein the deviation (Δn) of a refractive index (n) from a reference value (n 0 ) that is caused by changes in the ambient conditions is established in the reference measurement system,

wherein an image of a reference structure with at least one reference length that is situated on a calibration mask is produced by use of a detector of the measuring microscope,

wherein a change in the reference length that is caused by the change in the ambient conditions is determined in the image of the reference structure by use of at least one processor in the mask inspection system or the wafer inspection system, and

wherein a correlation is established between the modification of the optical properties of the reference measurement system and the length change in the image, produced in the detector, of the reference structure of the calibration mask by use of the at least one processor in the mask inspection system or the wafer inspection system.

2. The method as claimed in claim 1 , wherein

local changes in a local reference length are determined in the image of the reference structure, and

a local correlation function is established between the modification of the optical properties of the reference measurement system and the local length changes in the image, produced in the detector, of the reference structure of the calibration mask.

3. The method as claimed in claim 1 , wherein images of the calibration mask in different positions are produced by use of the detector and changes in the reference length are measured in these images in each case.

4. The method as claimed in claim 3 , wherein reference coordinate values (X 0 , Y 0 ) and associated length changes (ΔX, ΔY) of the reference coordinate values (X 0 , Y 0 ) are measured in the images, produced by use of the detector, of the calibration mask.

5. The method as claimed in claim 1 , wherein an etalon that is integrated in the measuring microscope is used as the reference measurement system.

6. The method as claimed in claim 1 , wherein the correlation between a change in the refractive index (Δn) and a relative change in the length scale (ΔL/L 0 ) is used to calculate a relative change (ΔS/S 0 ) in an imaging scale (S 0 ) of the measuring microscope that is caused by the change in the ambient conditions.

7. The method as claimed in claim 1 , wherein the deviation (ΔW) of an optical path (W) from a reference value (W 0 ) that is caused by changes in the ambient conditions is established in the reference measurement system.

8. The method as claimed in claim 7 , wherein the correlation between a change in the optical path (ΔW) and a relative change in the length scale (ΔL/L 0 ) is used to calculate a relative change (ΔS/S 0 ) in an imaging scale (S 0 ) of the measuring microscope that is caused by the change in the ambient conditions.

9. The method as claimed in claim 7 , wherein the correlation between a change in the optical path (ΔW) and a relative change in the length scale (L/L 0 ) is a linear correlation.

10. The method as claimed in claim 7 , wherein the correlation between a change in the optical path (ΔW) and a relative change in the length scale (L/L 0 ) is a nonlinear correlation.

11. The method as claimed in claim 7 , wherein the correlation between a change in the optical path (ΔW) and a relative change in the length scale (L/L 0 ) is established by machine learning.

12. The method of claim 2 , comprising producing, using the detector, images of the calibration mask in different positions, and for each image measuring changes (ΔL) in the reference length (L 0 ) in the image.

13. The method of claim 2 , comprising using an etalon that is integrated in the measuring microscope as a reference measurement system.

14. The method of claim 3 , comprising using an etalon that is integrated in the measuring microscope as a reference measurement system.

15. The method of claim 4 , comprising using an etalon that is integrated in the measuring microscope as a reference measurement system.

16. The method of claim 2 , comprising establishing, in the reference measurement system, the deviation (Δn) of a refractive index (n) from a reference value (n 0 ) that is caused by changes in the ambient conditions.

17. The method of claim 3 , comprising establishing, in the reference measurement system, the deviation (Δn) of a refractive index (n) from a reference value (n 0 ) that is caused by changes in the ambient conditions.

18. A method for compensating the influence of ambient conditions on an imaging scale (S) in a measuring microscope,

wherein a computational adaptation of the size of picture elements of the detector is carried out on the basis of a relative change (ΔS/S 0 ) in an imaging scale (S 0 ) that was calculated using a process including:

using a reference measurement system to measure a modification of the optical properties in the measuring microscope that is caused by a change in the ambient conditions,

using a detector of the measuring microscope to produce an image of a reference structure with at least one reference length that is situated on a calibration mask,

determining, using at least one processor, a change in the reference length in the image of the reference structure that is caused by the change in the ambient conditions,

establishing, using the at least one processor, a correlation between the modification of the optical properties of the reference measurement system and the length change in the image, produced in the detector, of the reference structure of the calibration mask,

establishing, in the reference measurement system, the deviation (Δn) of a refractive index (n) from a reference value (n 0 ) that is caused by changes in the ambient conditions, and

calculating the relative change (ΔS/S 0 ) in the imaging scale (S 0 ) of the measuring microscope that is caused by the change in the ambient conditions using the correlation between a change in the refractive index (Δn) and a relative change in a length scale (ΔL/L 0 ).

19. A method for compensating the influence of ambient conditions on an imaging scale (S) in a measuring microscope,

wherein an adjustment of the imaging scale and/or a correction of image positions to the measured is carried out on the basis of a relative change (ΔS/S 0 ) in an imaging scale (S 0 ) that was calculated using a process including:

using a reference measurement system to measure a modification of the optical properties in the measuring microscope that is caused by a change in the ambient conditions,

using a detector of the measuring microscope to produce an image of a reference structure with at least one reference length that is situated on a calibration mask,

determining, using at least one processor, a change in the reference length in the image of the reference structure that is caused by the change in the ambient conditions,

establishing, using the at least one processor, a correlation between the modification of the optical properties of the reference measurement system and the length change in the image, produced in the detector, of the reference structure of the calibration mask,

establishing, in the reference measurement system, the deviation (Δn) of a refractive index (n) from a reference value (n 0 ) that is caused by changes in the ambient conditions, and

calculating the relative change (ΔS/S 0 ) in the imaging scale (S 0 ) of the measuring microscope that is caused by the change in the ambient conditions using the correlation between a change in the refractive index (Δn) and a relative change in a length scale (ΔL/L 0 ).

20. A method for capturing the influence of ambient conditions on an imaging scale in a measuring microscope of a mask inspection system or a wafer inspection system,

wherein a modification of the optical properties in the measuring microscope that is caused by a change in the ambient conditions is measured by use of a reference measurement system,

wherein an image of a reference structure with at least one reference length that is situated on a calibration mask is produced by use of a detector of the measuring microscope,

wherein a change in the reference length that is caused by the change in the ambient conditions is determined in the image of the reference structure by use of at least one processor in the mask inspection system or the wafer inspection system,

wherein a correlation is established between the modification of the optical properties of the reference measurement system and the length change in the image, produced in the detector, of the reference structure of the calibration mask by use of the at least one processor in the mask inspection system or the wafer inspection system,

wherein the deviation (ΔW) of an optical path (W) from a reference value (W 0 ) that is caused by changes in the ambient conditions is established in the reference measurement system, and

wherein the correlation between a change in the optical path (ΔW) and a relative change in the length scale (ΔL/L 0 ) is used to calculate a relative change (ΔS/S 0 ) in an imaging scale (S 0 ) of the measuring microscope that is caused by the change in the ambient conditions.

21. A method for capturing the influence of ambient conditions on an imaging scale in a measuring microscope of a mask inspection system or a wafer inspection system,

wherein a modification of the optical properties in the measuring microscope that is caused by a change in the ambient conditions is measured by use of a reference measurement system,

wherein an image of a reference structure with at least one reference length that is situated on a calibration mask is produced by use of a detector of the measuring microscope,

wherein a change in the reference length that is caused by the change in the ambient conditions is determined in the image of the reference structure by use of at least one processor in the mask inspection system or the wafer inspection system,

wherein a correlation is established between the modification of the optical properties of the reference measurement system and the length change in the image, produced in the detector, of the reference structure of the calibration mask by use of the at least one processor in the mask inspection system or the wafer inspection system,

wherein the deviation (ΔW) of an optical path (W) from a reference value (W 0 ) that is caused by changes in the ambient conditions is established in the reference measurement system, and

wherein the correlation between a change in the optical path (ΔW) and a relative change in the length scale (L/L 0 ) is a nonlinear correlation.

22. A method for capturing the influence of ambient conditions on an imaging scale in a measuring microscope of a mask inspection system or a wafer inspection system,

wherein a modification of the optical properties in the measuring microscope that is caused by a change in the ambient conditions is measured by use of a reference measurement system,

wherein an image of a reference structure with at least one reference length that is situated on a calibration mask is produced by use of a detector of the measuring microscope,

wherein a change in the reference length that is caused by the change in the ambient conditions is determined in the image of the reference structure by use of at least one processor in the mask inspection system or the wafer inspection system,

wherein a correlation is established between the modification of the optical properties of the reference measurement system and the length change in the image, produced in the detector, of the reference structure of the calibration mask by use of the at least one processor in the mask inspection system or the wafer inspection system,

wherein the deviation (ΔW) of an optical path (W) from a reference value (W 0 ) that is caused by changes in the ambient conditions is established in the reference measurement system, and

wherein the correlation between a change in the optical path (ΔW) and a relative change in the length scale (L/L 0 ) is established by machine learning.