Abstract:
Particles adherent to a semiconductor wafer surface, and defects such as SFs, mounds, and dislocations present near the semiconductor wafer surface can be accurately divided according to their types at a low cost without being influenced by an inspector&#39;s ability. The wafer is scanned with a laser beam, scattered or reflected light from the wafer surface is detected from multiple light optics having different detecting angles, respectively, and forms and types of the occurrences present on the wafer surface are determined based on a ratio of detected light intensities from the multiple light optics.

Description:
TECHNICAL FIELD 
     The present invention relates to a method for inspecting a semiconductor wafer surface and, more particularly, to a method for inspecting a semiconductor wafer surface for dividing, to detect according to types of defects present on and near a semiconductor wafer surface, particles adherent to the semiconductor wafer surface and the like (hereinafter referred to as occurrences associated with the semiconductor wafer), which affect electrical properties such as dielectric breakdown strength of LSIs and the like being manufactured using semiconductor wafers, so as to evaluate semiconductor wafer quality. 
     BACKGROUND ART 
     Hitherto, extraneous substances such as particles adherent on a semiconductor wafer, and crystal defects on and near a surface of the semiconductor wafer, or surface flaws, scratches, shallow pits and the like (hereinafter referred to as surface flaws) have been known as light point defects (LPDs) to be detected using a semiconductor wafer surface inspection apparatus. The extraneous substances are observed in a shape of a convex on the semiconductor wafer surface. The crystal defects are observed mainly as a quadrangular-pyramidal pit or projection [(100) wafer], or a triangular or hexagonal pit or projection [(111) wafer] on a mirror-finished wafer surface, while these defects are observed mainly in a shape of a square or a square that is partly concave or convex [(100) wafer], or in a shape of a triangle or a triangle that is partly concave or convex [(111) wafer] on an epitaxial wafer surface. 
     From a viewpoint of evaluation of semiconductor wafer quality, it is desirable that the extraneous substances, crystal defects and surface flaws be strictly divided according to their types to be detected. However, in a conventional method for inspecting a semiconductor wafer surface, a wafer is scanned with a laser beam, a scattered light having a prescribed angle reflected from the wafer surface is detected, and a result is compared with measurement results of standard particles having prescribed grain sizes previously obtained, whereby the number of LPDs of every size including all of the extraneous substances and crystal defects is obtained. 
     In order to determine the types of extraneous substances and crystal defects or surface flaws (hereinafter referred to as defects) in the above method, a possibility of separation by unevenness recognition based on a premise that grown-in defects are pit-shaped while particles are convex, for example, in separation of particles and grown-in defects (COPs) in a mirror-finished wafer was reported. However, since the unevenness recognition is actually imperfect, it has been evident that it is difficult to separate particles from grown-in defects (COPs). In addition, it has been evident that all of grown-in defects are not concave. 
     There are many types of crystal defects in an epitaxial wafer such as stacking faults (SFs), mounds, and dislocations (hereinafter referred to as epi defects), and some of the epi defects have concave shapes, some have convex shapes, and others have both concave and convex shapes. Therefore, since separation probability in a method wherein separation is conducted depending on concave and convex shapes is low, and all of the epi defects are not concave, it has been physically impossible to separate the epi defects from particles; moreover, to determine types of the defects. 
     Determination of the types of occurrences associated with the semiconductor wafer is possible using an atomic force microscope (AFM) or a scanning electron microscope on a research level. However, in order to observe these occurrences using these microscopes, coordinate positions where the occurrences exist must be detected first on a wafer surface having an enormously large area compared with the occurrences. This detecting activity is very difficult, and then, points where the occurrences exist must be brought into focus of the AFM or scanning electron microscope. These activities cost vast labor and time, and furthermore, there is a possibility that quality of a product might be lowered, even though inspection techniques used are not destructive. As a result, it has been actually impossible to conduct inspection using a microscope of this type on every product. Therefore, a visual distinction method performed by an inspector (a method wherein a high-intensity spotlight is irradiated in a darkroom and scatterers are detected by a visual check) has been actually adopted. 
     An occurrence size measured using only one light optic of a laser surface inspection apparatus is a standard particle conversion size, which may be very different from an actual size depending on shapes of the occurrences associated with the semiconductor wafer. Accordingly, a problem remains from a viewpoint of reliability with regard to distinction of types of the occurrences based on size of the occurrences. Not only does the method, wherein particles and defects are separated by judging whether shapes are concave or convex, have a low reliability, but also it cannot be applied at all to wafers wherein convex defects exist. In the visual distinction method performed by an inspector, distinction capacity greatly depends on the inspector&#39;s competence for the task, which is not stable, and it is difficult to respond to higher-level requirements in a future wafer inspection. Furthermore, as wafers have larger diameters, possibility that occurrences escape the inspectors attention becomes larger. In the visual distinction method performed by an inspector, ability of the inspector must be estimated first, leading to increases in the number of steps and costs. 
     SUMMARY OF THE INVENTION 
     The present invention was developed in order to solve the above problems, and it is an object to provide a method for inspecting a semiconductor wafer surface, wherein particles adherent to a semiconductor wafer surface and, for example, surface flaws in a mirror-finished wafer which exist near the semiconductor wafer surface, or grown-in defects in bulk near the surface can be separated to be detected, or adherent particles and defects such as SFs, mounds, and dislocations in an epitaxial wafer can be accurately divided according to types at a low cost, without being influenced by an inspector&#39;s ability. 
     In order to achieve the above object, a first method for inspecting a semiconductor wafer surface according to the present invention is characterized by a wafer being scanned with a laser beam, scattered or reflected light from the wafer surface being detected by multiple light optics having different detecting angles relative to an incident light, respectively, and an occurrence being classified into some characteristics based on the ratio of the detected light intensities from the multiple light optics. 
     In the above first method for inspecting a semiconductor wafer surface, since a wafer is scanned with a laser beam, scattered or reflected light from the wafer surface is detected by multiple light optics having different detecting angles relative to an incident light, respectively, and the occurrence is classified into some characteristics based on the ratio of the detected light intensities from the multiple light optics, the method can be utilized when there is a wide difference in detected defect sizes between a low-angle light optic and a high-angle light optic depending on types of the occurrences. Therefore, it becomes possible to quite accurately determine the types of the occurrences. Since determination is not conducted by an inspector, inspection can be automated. Without depending on an inspector&#39;s ability, the inspection can be stable and it is possible to deal with higher-level requirements in a future wafer inspection and with wafers having larger diameters. Moreover, it is unnecessary to estimate an inspector beforehand, leading to substantial reductions in the number of inspection steps and costs. 
     A second method for inspecting a semiconductor wafer surface according to the present invention is characterized by a wafer being scanned with a laser beam, scattered or reflected light from the wafer surface being detected by multiple light optics having different detecting angles relative to an incident light, respectively, a difference between a horizontal length and a vertical height or between a horizontal length and a horizontal length crossing at right angles (i.e. orthogonal dimensions) of an LPD (Light Point Defect) present on the wafer surface being calculated from a difference in standard particle conversion sizes based on a ratio of detected light intensities from the multiple light optics, and forms (i.e. shapes) and types of occurrences present on the wafer surface are determined. 
     In the above second method for inspecting a semiconductor wafer surface, since a wafer is scanned with a laser beam, scattered or reflected light from the wafer surface is detected by multiple light optics having different detecting angles relative to an incident light, respectively, a difference between a horizontal length and a vertical height or two orthogonal lengths of an LPD (Light Point Defect) present on and near the wafer surface is calculated from a difference in the standard particle conversion sizes based on the ratio of the detected light intensities from the multiple light optics, and the forms (i.e. shapes) and types of defects present on the wafer surface are determined, it is possible to distinctly separate the defects from extraneous substances. Furthermore, it becomes possible to quite accurately determine the types of the defects. Since determination is not conducted by an inspector, inspection can be automated. Without depending on an inspector&#39;s ability, the inspection can be stable and it is possible to deal with higher-level requirements in a future wafer inspection and also with wafers having larger diameters. Moreover, it is unnecessary to estimate an inspector beforehand, leading to substantial reductions in the number of inspection steps and costs. 
     A third method for inspecting a semiconductor wafer surface according to the present invention is characterized by using a laser surface inspection apparatus, comprising at least two light optics to one incidence, as a laser surface inspection apparatus in the first or second method for inspecting a semiconductor wafer surface. 
     When at least two light optics, a low-angle light optic and a high-angle light optic, relative to an incident light are included as a light-detecting system of the laser surface inspection apparatus, the above first and second methods for inspecting a semiconductor wafer surface can be performed. By using a laser surface inspection apparatus comprising two light optics relative to one incidence as a laser surface inspection apparatus, inspection costs can be held down. 
     A fourth method for inspecting a semiconductor wafer surface according to the present invention is characterized by the semiconductor wafer being an epitaxial semiconductor wafer in any of the first through third methods for inspecting a semiconductor wafer surface. 
     By the methods for inspecting a semiconductor wafer surface according to the present invention, it is possible to accurately determine types of occurrences present on the wafer surface. Therefore, the methods can be applied even to an epitaxial semiconductor wafer which has many types of occurrences and a small number of occurrences. 
     A fifth method for inspecting a semiconductor wafer surface according to the present invention is characterized by determining forms (i.e. shapes) and types of occurrences according to a combination of A, B and a numerical value given by A/B, where detected light intensity of an LPD (Light Point Defect) detected from a high-angle light optic, or standard particle conversion size thereof, is A, while detected light intensity of the LPD detected from a low-angle light optic, or standard particle conversion size thereof, is B, in any of the first through fourth methods for inspecting a semiconductor wafer surface. 
     Using the above fifth method for inspecting a semiconductor wafer surface, particles adherent to a semiconductor wafer surface, or defects such as SFs, mounds, and dislocations present near the semiconductor wafer surface can be accurately classified, so that semiconductor wafer quality can be accurately evaluated. 
     A sixth method for inspecting a semiconductor wafer surface according to the present invention is characterized by determining forms (i.e. shapes) and types of occurrences based on Table 1, where standard particle conversion size of an LPD (Light Point Defect) detected in a high-angle light optic is A, while the standard particle conversion size of the LPD detected from a low-angle light optic is B, in any of the first through fourth methods for inspecting a semiconductor wafer surface. 
     
       
         
               
               
             
           
               
                 TABLE 1 
               
               
                   
               
               
                 Relations between 
                   
               
               
                 A and B or ranges 
                 Actual types 
               
               
                   
               
             
             
               
                 A ≧ B × 1.13 
                 Stacking Fault 
               
               
                 A &lt; B × 1.13 
                 Non-epi-layer originated extraneous 
               
               
                   
                 substance (adherent particle) 
               
               
                 B &lt; 90 nm and A &gt; 107 nm 
                 Micro-crystallographic-defect (hillock, 
               
               
                   
                 shadow, dislocation) 
               
               
                 B &gt; 160 nm and A &lt; 107 nm 
                 Abnormal growth (large-pit, projection) 
               
               
                 Others 
                 Abnormal product 
               
               
                   
               
             
          
         
       
     
     Using the above sixth method for inspecting a semiconductor wafer surface, particles adherent to a semiconductor wafer surface, or defects such as SFs, mounds, and dislocations present near the semiconductor wafer surface can be accurately classified, so that semiconductor wafer quality can be accurately evaluated. 
     A seventh method for inspecting a semiconductor wafer surface according to the present invention is characterized by the semiconductor wafer being a mirror-finished semiconductor wafer in any of the first through third methods for inspecting a semiconductor wafer surface. 
     By the first through third methods for inspecting a semiconductor wafer surface according to the present invention, occurrences present on the wafer surface, and surface flaws and grown-in defects in bulk near the surface can be accurately separated. Therefore, these methods can be applied even to a mirror-polished semiconductor wafer. 
     An eighth method for inspecting a semiconductor wafer surface according to the present invention is characterized by determining forms (i.e. shapes) and types of occurrences according to a combination of A, B and a numerical value given by A/B, where detected light intensity of an LPD (Light Point Defect) detected from a high-angle light optic, or standard particle conversion size thereof, is A, while detected light intensity of the LPD detected from a low-angle light optic, or standard particle conversion size thereof, is B, in the seventh method for inspecting a semiconductor wafer surface. 
     Using the above eighth method for inspecting a semiconductor wafer surface, particles adherent to a semiconductor wafer surface or COPs, and surface flaws and grown-in defects present in bulk near the semiconductor wafer surface can be accurately classified, so that semiconductor wafer quality can be accurately evaluated. 
     A ninth method for inspecting a semiconductor wafer surface (9) according to the present invention is characterized by determining forms (i.e. shapes) and types of occurrences based on Table 2, where standard particle conversion size of an LPD (Light Point Defect) detected from a high-angle light optic is A, while standard particle conversion size of the LPD detected from a low-angle light optic is B, in any of the first through third and seventh methods for inspecting a semiconductor wafer surface. 
     
       
         
               
               
             
           
               
                 TABLE 2 
               
               
                   
               
               
                 Relations between 
                   
               
               
                 A and B or ranges 
                 Actual types 
               
               
                   
               
             
             
               
                 A ≧ b × 1.13 or 
                 Scratch, flaw, and shallow pit 
               
               
                 B &lt; 90 nm and A &gt; 107 nm 
               
               
                 A &lt; B × 1.13 
                 Adherent particle or COP 
               
               
                 B ≧ 85 nm and A &lt; 107 nm 
                 Grown-in defect in bulk near surface 
               
               
                   
               
             
          
         
       
     
     Using the above ninth method for inspecting a semiconductor wafer surface, particles adherent to a semiconductor wafer surface or COPs, and surface flaws and grown-in defects present in bulk near the semiconductor wafer surface can be accurately classified, so that semiconductor wafer quality can be accurately evaluated. 
    
    
     BRIEF DESCRIPTION OF THE DRAWINGS 
     FIG. 1 is a diagram showing results of classification of actual forms of LPDs detected in a first embodiment according to the present invention after confirmed using an AFM; 
     FIG. 2 is a microphotograph showing an example of actual forms of LPDs detected in the first embodiment, which were confirmed using the AFM; 
     FIG. 3 is a microphotograph showing an example of actual forms of LPDs detected in the first embodiment, which were confirmed using the AFM; 
     FIG. 4 is a microphotograph showing an example of actual forms of LPDs detected in the first embodiment, which were confirmed using the AFM; 
     FIG. 5 is a microphotograph showing an example of actual forms of LPDs detected in the embodiment, which were confirmed using the AFM; 
     FIG. 6 is a microphotograph showing an example of actual forms of LPDs detected in the first embodiment, which were confirmed using the AFM; 
     FIG. 7 is a microphotograph showing an example of actual forms of LPDs detected in the first embodiment, which were confirmed using the AFM; 
     FIG. 8 is a microphotograph showing an example of actual forms of LPDs detected in the first embodiment, which were confirmed using the AFM; 
     FIG. 9 is a microphotograph showing an example of actual forms of LPDs detected in the first embodiment, which were confirmed using the AFM; 
     FIG. 10 is a microphotograph showing an example of actual forms of LPDs detected in a second embodiment, which were confirmed using an AFM; 
     FIG. 11 is a microphotograph showing an example of actual forms of LPDs detected in the second embodiment, which were confirmed using the AFM. 
     FIG. 12 schematically depicts performance of a method of the invention; and 
     FIG. 13 depicts horizontal and vertical dimensions of occurrences in a semiconductor wafer. 
    
    
     DESCRIPTION OF THE PREFERRED EMBODIMENTS 
     The preferred embodiments of a method for inspecting a semiconductor wafer surface according to the present invention are described below by reference to the Figures of the Drawings. 
     In a method for inspecting a semiconductor wafer surface according to an embodiment, using, for example, a laser surface inspection apparatus having two light optics relative to one incidence, LPDs are detected from the two light optics, i.e. a low-angle one and a high-angle one. A list of coordinates of the LPDs obtained from each light optic, detected light intensity or standard particle conversion size data thereof, and (high-angle detected light intensity or standard particle conversion size/low-angle detected light intensity or standard particle conversion size) is prepared. 
     The LPDs detected only from the high-angle light optic, the LPDs detected only from the low-angle light optic, and the LPDs having various values of (high-angle detected light intensity or standard particle conversion size/low-angle detected light intensity or standard particle conversion size) are selected and actual forms thereof are actually observed using an AFM or the like. 
     On the basis of the actual forms of the LPDs observed using the AFM or the like, characteristics of occurrences associated with the semiconductor wafer are grasped according to their types from comparison between detected light intensities or standard particle conversion sizes detected from each of the low-angle and high-angle light optics. As a result, for example, relationships between the standard particle conversion sizes detected from each of the low-angle and high-angle light optics and types of defects in an epitaxial wafer and in a mirror-finished wafer could be classified and arranged as shown in Tables 1 and 2, respectively. 
     
       
         
               
               
             
           
               
                 TABLE 1 
               
               
                   
               
               
                 Relations between 
                   
               
               
                 A and B or ranges 
                 Actual types 
               
               
                   
               
             
             
               
                 A ≧ B × 1.13 
                 Stacking Fault 
               
               
                 A &lt; B × 1.13 
                 Non-epi-layer originated extraneous 
               
               
                   
                 substance (adherent particle) 
               
               
                 B &lt; 90 nm and A &gt; 107 nm 
                 Microcrystallographic-defect 
               
               
                   
                 (hillock, shadow, dislocation) 
               
               
                 B &gt; 160 nm and A &lt; 107 nm 
                 Abnormal growth 
               
               
                   
                 (large-pit, projection) 
               
               
                 Others 
                 Abnormal product 
               
               
                   
               
             
          
         
       
     
     
       
         
               
               
             
           
               
                 TABLE 2 
               
               
                   
               
               
                 Relations between 
                   
               
               
                 A and B or ranges 
                 Actual types 
               
               
                   
               
             
             
               
                 A ≧ B × 1.13 or 
                 Scratch, flaw, and shallow pit 
               
               
                 B &lt; 90 nm and A &gt; 107 nm 
               
               
                 A &lt; B × 1.13 
                 Adherent particle or COP 
               
               
                 B ≧ 85 nm and A &lt; 107 nm 
                 Grown-in defect bulk near surface 
               
               
                   
               
             
          
         
       
     
     Here, A represents the standard particle conversion size of an LPD detected from the high-angle light optic, while B represents the standard particle conversion size of an LPD detected from the low-angle light optic. 
     However, angles of the light optics are different depending on a used laser surface inspection apparatus, and each laser surface inspection apparatus has its own minimum and maximum limits of measurement. Therefore, there is a possibility that the values of A, B, and A/B used for defect distinction might vary according to the used laser surface inspection apparatus. In addition, in the case of an epitaxial wafer, an occurrence size depends on thickness of an epitaxial film (in the case of a (100) wafer, SF length is about 1.4 times the epitaxial film thickness), so that there is a possibility that the values of A, B, and A/B might vary when the epitaxial film thickness varies. 
     By a conventional method, in the case of an epitaxial wafer, the number of LPDs of every size from one light optic, including all of extraneous substances and epi defects detected using a laser surface inspection apparatus, can be obtained; while in the case of a mirror-polished wafer, the number of LPDs of every size from one light optic, including all of extraneous substances and grown-in defects detected using a laser surface inspection apparatus, can be obtained. However, it is impossible to divide and detect occurrences associated with the semiconductor wafer according to the types as shown in Tables 1 or 2. 
     An occurrence size measured using only one light optic of a laser surface inspection apparatus is a standard particle conversion size, which may be very different from an actual size depending on shapes of the occurrences. Accordingly, a problem remains from the viewpoint of reliability with regard to distinction of types of the occurrences, based on the occurrence size. In a visual distinction method by an inspector, distinction capacity greatly depends on the inspector&#39;s competence for the task, which is not stable, and it is difficult to respond to higher-level requirements in a future wafer inspection. Furthermore, as wafers have larger diameters, a possibility that occurrences escape his attention becomes larger. In the visual distinction method by an inspector, ability of the inspector must be estimated first, leading to increases in the number of steps and costs. 
     In the method for inspecting a semiconductor wafer surface according to the embodiment, on the basis of the coordinate data of the LPDs detected using the laser surface inspection apparatus, the LPDs detected only in the high-angle light optic, the LPDs detected only in the low-angle light optic, and the LPDs having various values of (high-angle detected light intensity or standard particle conversion size/low-angle detected light intensity or standard particle conversion size) are selected. On the basis of results of the actual forms thereof actually observed using an AFM, the LPDs are classified and arranged to prepare Tables 1 and 2. Once Table 1 or 2 is prepared, only organization of the standard particle conversion sizes detected from each of the low-angle and high-angle light optics, using the laser surface inspection apparatus, according to the classification shown in Table 1 or 2 is needed to divide easily and accurately extraneous substances and defects, or surface flaws according to their types. 
     Since the distinction is not conducted by an inspector, the inspection can be automated, so that it can be stably conducted without depending on the inspector&#39;s ability. It is also possible to deal with higher-level requirements in a future wafer inspection, and wafers having larger diameters. Moreover, it is unnecessary to estimate the inspector beforehand, leading to substantial reductions in the number of inspection steps and costs. 
     In the method for inspecting a semiconductor wafer surface according to the embodiment, a laser surface inspection apparatus having two light optics relative to one incidence is used, but the laser surface inspection apparatus is not so limited. In another embodiment, a laser surface inspection apparatus having two light optics relative to two incidences, or a laser surface inspection apparatus having three light optics relative to one incidence, can be used. 
     When the laser surface inspection apparatus has at least two light optics having different detecting angles relative to an incident light, as a light-detecting system thereof, it is possible to conduct a method for inspecting a semiconductor wafer surface according to the present invention. And, using a laser surface inspection apparatus having two light optics relative to one incidence, inspection costs can be held down. 
     By the method for inspecting a semiconductor wafer surface according to the embodiment, types of occurrences present on a wafer surface can be accurately determined, so that the method can be applied not only to detection of surface flaws of a mirror-polished semiconductor wafer sliced off from a single crystal, but also to an epitaxial semiconductor wafer having many types of occurrences and a small number of occurrences. Quality evaluation of both an epitaxial semiconductor wafer having many types of occurrences and a mirror-polished wafer can be accurately conducted. 
     EXAMPLES AND COMPARATIVE EXAMPLES 
     Examples of the method for inspecting a semiconductor wafer surface according to the present invention are described below. 
     Example 1 
     Used laser surface inspection apparatus: SP-1 (produced by TENCOR) 
     Two light optics relative to one incidence 
     Used sample: 200 mm epitaxial silicon wafer 
     Wafer crystal plane (100) 
     Epitaxial film thickness 6 μm 
     LPDs of the sample epitaxial silicon wafer were detected using the above laser surface inspection apparatus. 
     Data of coordinates and standard particle conversion sizes of the LPDs obtained from each of the two light optics were organized, and actual forms of the LPD were presumed based on classification shown in Table 1 and FIG. 1. A portion of results of data processing is shown in Table 3. 
     
       
         
               
               
             
               
               
               
               
               
             
           
               
                 TABLE 3 
               
             
             
               
                   
               
               
                 Detection results by laser 
                   
               
               
                 surface inspection apparatus 
               
             
          
           
               
                 Low-angle 
                 High-angle 
                   
                   
                   
               
               
                 light- 
                 light- 
               
               
                 receiving 
                 receiving 
                   
                   
                 Re- 
               
               
                 channel (nm) 
                 channel (nm) 
                 Presumption 
                 A F M 
                 sults 
               
               
                   
               
               
                 Below 
                 115 
                 Micro-crystallo- 
                 Length 10 μm · 
                 ◯ 
               
               
                 detection 
                   
                 graphic-defect 
                 height 3 nm 
               
               
                 limit 
                   
                 (dislocation, 
                 (FIG. 2) 
               
               
                   
                   
                 shadow) 
               
               
                 Below 
                 160 
                 Micro-crystallo- 
                 Diameter 1 μm × 
                 ◯ 
               
               
                 detection 
                   
                 graphic-defect 
                 height 20 nm 
               
               
                 limit 
                   
                 (hillock) 
                 (FIG. 3) 
               
               
                  95 
                 127 
                 S F 
                 S F (FIG. 4) 
                 ◯ 
               
               
                 108 
                 136 
                 S F 
                 S F (FIG. 5) 
                 ◯ 
               
               
                 106 
                 136 
                 S F 
                 S F 
                 ◯ 
               
               
                 107 
                 135 
                 S F 
                 S F 
                 ◯ 
               
               
                 107 
                 134 
                 S F 
                 S F 
                 ◯ 
               
               
                 149 
                 150 
                 Adherent 
                 Adherent particle 
                 ◯ 
               
               
                   
                   
                 particle 
                 (FIG. 6) 
               
               
                 104 
                 111 
                 Adherent 
                 Adherent particle 
                 ◯ 
               
               
                   
                   
                 particle 
               
               
                  90 
                 118 
                 S F 
                 S F 
                 ◯ 
               
               
                 Above 
                 Above 
                 Mound 
                 Mound · 
                 ◯ 
               
               
                 detection 
                 detection 
                   
                 abnormal 
               
               
                 limit 
                 limit 
                   
                 growth (FIG. 7) 
               
               
                   
               
             
          
         
       
     
     Then, on the basis of the coordinate data of the obtained LPDs, actual forms of the LPDs detected using the laser surface inspection apparatus were actually confirmed using an AFM, and whether the classification based on Table 1 and FIG. 1 was correct or wrong was judged. The results are also shown together in Table 3. 
     In FIGS. 2-9, typical examples of microphotographs of the actual forms of the LPDs confirmed using the AFM are shown. In Table 3, in order to clarify correspondence to the LPDs shown in FIGS. 2-7, the Figure numbers are included in the AFM column. The LPD shown in FIG. 8 is an example of an LPD which should be classified as the division (B&gt;160 nm and A&lt;107 nm) in Table 1, while the LPD shown in FIG. 9 is an example of an LPD which should be classified as the division (Others) in Table 1. 
     In the method according to the Example, the LPDs could be accurately classified according to their forms (i.e. shapes) with a probability of at least 90% by a simple method using a laser surface inspection apparatus. 
     Comparative Example 1 
     Used laser surface inspection apparatus: SFS6220 (produced by TENCOR) 
     One light optic relative to one incidence 
     Used sample: 200 mm epitaxial silicon wafer 
     Wafer crystal plane (100) 
     Epitaxial film thickness 2.1 μm 
     LPDs of the sample epitaxial silicon wafer were detected using the above laser surface inspection apparatus. 
     Classification based on standard particle conversion size data of the LPDs using the laser surface inspection apparatus, and classification by a method wherein a high-intensity spotlight is irradiated in a darkroom and scatterers are detected by a visual check, were conducted. Actual forms of detected LPDs were confirmed using an AFM, and whether the classification was correct or wrong was judged. The results are shown in Table 4. 
     
       
         
               
               
               
               
             
           
               
                   
                 TABLE 4 
               
               
                   
                   
               
               
                   
                 Laser surface 
                 Visual 
                   
               
               
                   
                 inspection apparatus 
                 check 
                 AFM 
               
               
                   
                   
               
             
             
               
                   
                 0.1 μm &gt; 10 LPDs 
                 None 
                 10 SFs (3 μm-side 
               
               
                   
                   
                   
                 square, L-shaped, U- 
               
               
                   
                   
                   
                 shaped and linear) 
               
               
                   
                 0.1-0.3 μm 5 LPDs 
                 3 SFs 
                 2 SFs (3 μm-side 
               
               
                   
                   
                   
                 square), 1 pit of 
               
               
                   
                   
                   
                 diameters 3.0 μm × 
               
               
                   
                   
                   
                 0.2 μm, 1 abnormal crystal 
               
               
                   
                   
                   
                 growth, and 1 adherent 
               
               
                   
                   
                   
                 particle 
               
               
                   
                 0.3 μm &lt; 3 LPDs 
                 3 extraneous 
                 2 non-epi-layer 
               
               
                   
                   
                 substances 
                 originated extraneous 
               
               
                   
                   
                   
                 substances and 1 mound 
               
               
                   
                   
               
             
          
         
       
     
     As is obvious from the results shown in Table 4, in the classification by a visual check, a detecting rate of LDPs as a precondition reached only 30% (6 LPDs/18 LPDs), which made clear that there was a problem before classification. And, among the detected LPDs, only 50% or so could be divided correctly. Thus, it was confirmed in the visual distinction by an inspector, that distinction was unstable, that it was difficult to deal with higher-level requirements in a future wafer inspection, and that probability that defects may escape the inspector&#39;s attention might become larger as wafers have larger diameters. 
     Example 2 
     Used laser surface inspection apparatus: SP-1 (produced by TENCOR) 
     Two light optics relative to one incidence 
     Used sample: 200 mm mirror-polished CZ silicon wafer 
     Wafer crystal plane (100) 
     LPDs of the sample mirror-polished CZ silicon wafer were detected using the above laser surface inspection apparatus. 
     Data of coordinates and standard particle conversion sizes of the LPDs obtained from each of the two light optics were organized, and actual forms of the LPDs were presumed based on classification shown in Table 2. A portion of results of data processing is shown in Table 5. 
     
       
         
               
               
             
               
               
               
               
               
             
           
               
                 TABLE 5 
               
             
             
               
                   
               
               
                 Detection results by laser 
                   
               
               
                 surface inspection apparatus 
               
             
          
           
               
                 Low-angle 
                 High-angle 
                   
                   
                   
               
               
                 light- 
                 light- 
               
               
                 receiving 
                 receiving 
                   
                   
                 Re- 
               
               
                 channel (nm) 
                 channel (nm) 
                 Presumption 
                 AFM 
                 sults 
               
               
                   
               
               
                 Below 
                 112 
                 Scratch or s-pit 
                 Scratch of length 
                 ◯ 
               
               
                 detection 
                   
                   
                 3 μm (FIG. 10) 
               
               
                 limit 
               
               
                 Below 
                 115 
                 Scratch or s-pit 
                 Scratch 
                 ◯ 
               
               
                 detection 
               
               
                 limit 
               
               
                  98 
                 142 
                 Scratch or s-pit 
                 s-pit (FIG. 11) 
                 ◯ 
               
               
                 110 
                 149 
                 Scratch or s-pit 
                 s-pit 
                 ◯ 
               
               
                  86 
                 132 
                 Scratch or s-pit 
                 Scratch 
                 ◯ 
               
               
                  91 
                 Below 
                 Grown-in defect 
                 No unevenness 
                 ◯ 
               
               
                   
                 detection 
                 in bulk 
                 observed 
               
               
                   
                 limit 
               
               
                  88 
                 Below 
                 Grown-in defect 
                 No unevenness 
                 ◯ 
               
               
                   
                 detection 
                 in bulk 
                 observed 
               
               
                   
                 limit 
               
               
                 132 
                 133 
                 Adherent 
                 Adherent particle 
                 ◯ 
               
               
                   
                   
                 particle 
               
               
                 104 
                 109 
                 Adherent 
                 Adherent particle 
                 ◯ 
               
               
                   
                   
                 particle 
               
               
                   
               
             
          
         
       
     
     Then, on the basis of the coordinate data of the obtained LPDs, actual forms of the LPDs detected using the laser surface inspection apparatus were actually confirmed using an AFM, and whether the classification based on Table 2 was correct or wrong was judged. The results are also shown together in Table 5. 
     In FIGS. 10 and 11, typical examples of microphotographs of the actual forms of the LPDs confirmed using the AFM are shown. In Table 5, in order to clarify correspondence to the LPDs shown in FIGS. 10 and 11, the Figure numbers are included in the AFM column. In the method according to the Example, the LPDs could be accurately classified according to their forms (i.e. shapes) with a probability of at least 90% by a simple method using a laser surface inspection apparatus. 
     INDUSTRIAL APPLICABILITY 
     The instant invention can be utilized for dividing, to detect according to types of defects present on and near a semiconductor wafer surface, adherent particles and the like, which affect electrical properties such as dielectric breakdown strength of LSIs and the like manufactured using semiconductor wafers, so as to evaluate semiconductor wafer quality.