WO1997035162A1 - Procede et dispositif permettant de mesurer les defauts d'un cristal a partir de la surface de ce dernier - Google Patents
Procede et dispositif permettant de mesurer les defauts d'un cristal a partir de la surface de ce dernier Download PDFInfo
- Publication number
- WO1997035162A1 WO1997035162A1 PCT/JP1996/000681 JP9600681W WO9735162A1 WO 1997035162 A1 WO1997035162 A1 WO 1997035162A1 JP 9600681 W JP9600681 W JP 9600681W WO 9735162 A1 WO9735162 A1 WO 9735162A1
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- Prior art keywords
- defect
- wavelengths
- wavelength
- scattered light
- light
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Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
- G01N21/9501—Semiconductor wafers
- G01N21/9505—Wafer internal defects, e.g. microcracks
Definitions
- the present invention relates to an apparatus for evaluating a crystal of a semiconductor wafer, and more particularly to a method and an apparatus for measuring the density and size of crystal defects such as precipitates and stacking defects in a silicon wafer and the depth position from the crystal surface.
- LSIs Large Scale Integrated Circuits
- MOS Metal Oxide Semiconductor
- Typical causes of M0S transistor failure are gate dielectric breakdown and excessive junction leakage current. The latter is a problem because it causes a phenomenon of information loss called refresh failure, especially in DRAMs (ad-hoc read-only memory devices that require a memory retention operation).
- refresh failure a phenomenon of information loss called refresh failure, especially in DRAMs (ad-hoc read-only memory devices that require a memory retention operation).
- Many of these M0S transistor defects are directly or indirectly caused by crystal defects in the silicon substrate. Since the effect of a defect on a device depends on the density and size of the defect and the position of the defect from the surface, measurement techniques that measure these quantities are important.
- the silicon substrate is cleaved, and infrared rays that pass through the Si crystal are irradiated from the cross-sectional direction (perpendicular to the surface normal direction of the sample), and the scattered light image from the micro defects in the Si crystal is captured by a camera. There is a way to do that.
- This method is called the infrared scattering tomography method, and is described in, for example, Journal of Crystal Gloss 88 (1988), page 332. In this measurement, it is necessary to cleave the sample, a force that can know the existence distribution of defects in a minute area, and it takes time to prepare a small sample in destructive measurement.
- the beam is irradiated from the direction perpendicular to the detection direction and scanning is performed, so that depth resolution can be obtained by the irradiation beam diameter. Its resolution is about the wavelength of the irradiation light (about ⁇ ⁇ is the limit.
- scattering is performed by obliquely incident an infrared ray onto a sample and observing a scattered image from a defect inside the sample two-dimensionally with an infrared camera.
- a method is described in which the depth of a defect is determined by associating the depth of each part of the image with the position in the field of view.
- the depth resolution in this case is determined by the optical imaging performance (depth of focus), and is at most 4 ⁇ because it is about the product of the wavelength and the refractive index.
- Scattered light Degree and light scattering theory Theory that links defect size and scattered light intensity. For example, M. Born and E. ⁇ orff, Principles of Optics 3, Tokai University Press, 1975-1990 902-971 And a data processing system that derives the defect size using the theory described in Peter Chylek, Journal Optical Society of America, Vol. 67, pages 561 to 563), and a means of displaying the above measurement results. And a defect measurement method implemented by the device.
- Means for scanning the sample with respect to the sample or means for scanning the sample with irradiation light, means for monitoring the scanning position, and separating and condensing scattered light generated from defects on the sample surface or inside for each irradiation wavelength A detection system that detects each wavelength with a photodetector and converts it into an electric signal, and a threshold is set for a scattered light intensity signal (trigger signal) of one specific wavelength out of multiple wavelengths, and a signal larger than that is detected.
- a defect measurement apparatus S constituted by means for deriving a depth position Z of a defect by a relational expression given below, and a defect measurement method performed by the apparatus.
- a defect measurement apparatus further comprising means for deriving a defect size using a degree, and a defect measurement method performed by the apparatus.
- defects are detected using the signal with the shorter penetration depth as a trigger signal, but the wavelength with the shorter penetration depth is the shorter wavelength side in silicon and shorter when compared at the same irradiation power density.
- the wavelength has a larger scattering cross section of the defect, and thus has the advantage of higher detection sensitivity.
- Means means for imaging a defect image obtained by imaging scattered light generated from a defect by wavelength, and depth position of the defect using the peak value at each wavelength of the scattered light intensity distribution of the defect image And a scattered light intensity distribution peak value of a defect image having a longer penetration depth for a defect observed at two wavelengths whose penetration depths differ by at least n times among a plurality of irradiation wavelengths, and A defect measuring apparatus S characterized by deriving a defect size using scattering theory and a defect measuring method performed by the apparatus S.
- the value of n is shown in FIG. 4 showing the relationship between the defect size and the scattered light intensity, the ratio of the penetration depth and the depth of the scattered light intensity signal.
- the penetration depth ratio must be at least three times or more. In this way, the number of n is determined depending on how to obtain the accuracy of the defect size measurement.
- the principle for obtaining the depth resolution and the principle for obtaining the particle size will be described below.
- the refractive index with respect to L is n and the extinction rate is k
- the amplitude of the incident light is l / e of the surface value (e is the natural logarithm base: e 2.718).
- the penetration depth ⁇ is given by
- C1 and C2 are the instrument constants and the optical constants of the sample, and are defined by the following equations Is done.
- ⁇ 2 ⁇ 1 is an amount that does not depend on the grain size of defects, and is an amount that depends only on the irradiation wavelength as shown in the following equation.
- FIG. 1 is a schematic configuration diagram of a first embodiment of the present invention
- FIG. 2 is a schematic cross-sectional view of a conventional technology
- FIG. 3 explains the principle of defect detection by light scattering.
- FIG. 4 is a diagram showing the relationship between the relative particle diameter and the relative scattered light intensity
- FIG. 5 is a diagram showing the relationship between the decay rate due to the depth of the signal intensity S 1 and ⁇ 1 / ⁇ 2.
- FIG. 6 is a diagram showing the wavelength dependence of the depth of penetration into silicon
- FIG. 7 is a diagram showing a crystal from the surface of a CZ type silicon wafer to a depth of 0.5 ⁇ .
- FIG. 8 is a graph showing the particle size distribution of crystal defects detected on a CZ type silicon wafer
- FIG. 8 is a graph showing the particle size distribution of crystal defects detected on a CZ type silicon wafer
- Fig. 10 shows the distribution of depth g of crystal defects in wafers of ⁇ and 0.3 ⁇ .
- Fig. 10 shows an example of an irradiation and detection optical system in the case of nearly perpendicular incidence on the sample wafer surface.
- FIG. 11 shows another example of the irradiation and detection optical system in the case of substantially perpendicular incidence on the sample wafer surface.
- the irradiation position is shifted by several times the irradiation beam diameter (approximately 5 ⁇ ) so that the defect is irradiated earlier than the length of 810 nm. Detection of defects to as capture both signal wavelengths 532nm and the wavelength 810nm only when exceeding the threshold value (S2 T h) set is scattered light intensity signal of the wavelength 532 ⁇ m (S2). However, threshold value (S2 T h) is set so as not detected as scattered light intensity fluctuation generated from the wafer surface signal.
- a rotary encoder and a translation encoder attached to the wafer fixing jig 51 while scanning the rotating stage 23 in the rotating direction (6 directions) and the radial direction (R direction) using the driver 22 from the computer 16.
- the scattered light is measured while monitoring the position of the scattered light (R, ⁇ ), and the position (R, ⁇ ) at the moment when the scattered light is generated from the defect is taken into the computer 16 together with the scattered light intensity signal.
- Grown-in defects, which are oxygen precipitates contained in the wafer, are measured. The size of a specific defect is confirmed with a transmission electron microscope, and the defect intensity is correlated with the signal intensity of the defect. Determine the constant.
- Fig. 7 shows untreated CZ silicon
- the results of the defect measurement of wafers are shown by the in-plane distribution of defects up to a depth of 0.5 ⁇ . This defect is called a Grown-in defect and is known to be oxygen precipitates.
- Figure 8 shows the grain size distribution of this defect. The horizontal axis is ln (d), and C 3 on the right side of Equation 11 was determined so that the peak position of the intensity distribution was 60 nm.
- the particle diameter of 60 nm of oxygen precipitate Grown-in defects contained in the CZ silicon wafer is known by TEM (Horai et al., Semiconductor Silicon Magazine (published in 1994), p. 159). did.
- the equipment constants C 1 and C 0 of Equation 9 in determining the depth position were determined as follows. That is, defect distribution measurement is performed on a wafer in which silicon is epitaxially grown to a thickness of 0.3 tm on a CZ silicon wafer, and the position where the depth distribution of the Grown-in defect in the CZ silicon substrate increases is 0.3 tzm. C1 and C0 were determined using the position where the shallowest defect was detected as the surface.
- FIG. 9 shows an example of measurement of a wafer having a thickness of 0.3 ⁇ and an epitaxial growth thickness of 0.3 ⁇ . From this figure, it can be seen that the range where the depth position can be measured is within 0.5 ⁇ . The size and depth position of each defect are derived as described above, and the result is output to the display 20 and the printer 21. During the measurement of wide area scanning, the height of the wafer surface is controlled within the focal depth of the objective lens 15 by a gap sensor (not shown) provided near the objective lens 15 and a piezo element 25 serving as a servo unit. I do.
- a desired defect is selected from the defect distribution obtained by the measurement in the wide area scanning mode, and the irradiation beam or the sample is moved so that the irradiation beam is irradiated to the position.
- the image of the scattered light from the defect is observed separately by the camera 50 at two wavelengths, and the image data is taken into the computer 16.
- image data is taken in for each wavelength while slightly scanning about every 10 ⁇ .
- the depth position and the defect shape based on the scattered light image are obtained from the scattered light intensity for each wavelength.
- the combination of wavelengths needs to be changed depending on the depth to be measured and the type of crystal to be measured.
- This patent is not limited to silicon, but can be applied to other materials (compound semiconductors such as GaAs, metals, organic substances, etc.).
- the wavelength may be determined according to the penetration depth of each wavelength into the GaAs crystal. Also in this case, it is desirable to select the wavelength by setting the ratio of the penetration depth between ⁇ 1 and ⁇ 2 to 3 or more. It is desirable to determine the wavelength for other materials as well.
- the case where the incident angle of the irradiation light was 75 degrees was described.
- FIG. 10 which shows the optical system up to the collection of the scattered light
- almost vertical incidence may be used.
- the reflected light of the irradiation light from the sample surface returns almost vertically. Since this reflected light hinders the measurement of weak scattered light, a hole is made in the scattered light condensing lens to irradiate it through this hole so that this reflected light is not detected, and the reflected light is collected through this hole. Do not do it.
- the light path may be changed by reflecting only the scattered light with a perforated mirror and detecting the light by wavelength, and even if the scattered light condensing lens avoids the reflected light as shown in Fig. 11. Good industrial applicability
- the measurement of the entire surface of the wafer including the measurement of the particle size of the defect and the measurement of the depth position, and the measurement of the particle size by observing an image of each single defect And depth position measurement.
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- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Testing Or Measuring Of Semiconductors Or The Like (AREA)
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
Description
Claims
Priority Applications (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PCT/JP1996/000681 WO1997035162A1 (fr) | 1996-03-15 | 1996-03-15 | Procede et dispositif permettant de mesurer les defauts d'un cristal a partir de la surface de ce dernier |
EP96906053A EP0887621A4 (en) | 1996-03-15 | 1996-03-15 | METHOD AND DEVICE FOR MEASURING THE DEFECTS OF A CRYSTAL FROM THE SURFACE OF THE LATTER |
KR1019980706960A KR20000064554A (ko) | 1996-03-15 | 1996-03-15 | 표면결정결함계측방법및그장치 |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PCT/JP1996/000681 WO1997035162A1 (fr) | 1996-03-15 | 1996-03-15 | Procede et dispositif permettant de mesurer les defauts d'un cristal a partir de la surface de ce dernier |
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WO1997035162A1 true WO1997035162A1 (fr) | 1997-09-25 |
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PCT/JP1996/000681 WO1997035162A1 (fr) | 1996-03-15 | 1996-03-15 | Procede et dispositif permettant de mesurer les defauts d'un cristal a partir de la surface de ce dernier |
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EP (1) | EP0887621A4 (ja) |
KR (1) | KR20000064554A (ja) |
WO (1) | WO1997035162A1 (ja) |
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2000235636A (ja) * | 1998-12-14 | 2000-08-29 | Hitachi Ltd | 欠陥情報を利用した情報媒体 |
WO2006082932A1 (ja) * | 2005-02-03 | 2006-08-10 | Raytex Corporation | 欠陥粒子測定装置および欠陥粒子測定方法 |
US7242016B2 (en) | 2000-03-08 | 2007-07-10 | Hitachi, Ltd. | Surface inspection apparatus and method thereof |
WO2008108041A1 (ja) * | 2007-03-06 | 2008-09-12 | Kabushiki Kaisha Topcon | 表面検査方法及び装置 |
CN102621152A (zh) * | 2012-03-28 | 2012-08-01 | 浙江工业大学 | 一种晶硅抛光片表面缺陷检测系统 |
JP2014524013A (ja) * | 2011-06-06 | 2014-09-18 | メディパン・ゲーエムベーハー | 合成校正用粒子を用いた細胞に基づく免疫蛍光アッセイによる免疫蛍光病巣を自動的に判定するための方法及びシステム |
JP2018205458A (ja) * | 2017-06-01 | 2018-12-27 | 凸版印刷株式会社 | Euvブランク及びeuvマスクの欠陥検査装置、欠陥検査方法、euvマスクの製造方法 |
CN112782175A (zh) * | 2019-11-11 | 2021-05-11 | 深圳中科飞测科技股份有限公司 | 一种检测设备及检测方法 |
Families Citing this family (6)
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KR20040076742A (ko) | 2003-02-26 | 2004-09-03 | 삼성전자주식회사 | 결함 분류 방법 및 결함 분류 장치 |
US8461532B2 (en) | 2009-11-05 | 2013-06-11 | The Aerospace Corporation | Refraction assisted illumination for imaging |
US8138476B2 (en) | 2009-11-05 | 2012-03-20 | The Aerospace Corporation | Refraction assisted illumination for imaging |
US8450688B2 (en) | 2009-11-05 | 2013-05-28 | The Aerospace Corporation | Refraction assisted illumination for imaging |
US9007454B2 (en) | 2012-10-31 | 2015-04-14 | The Aerospace Corporation | Optimized illumination for imaging |
KR101438626B1 (ko) * | 2013-03-26 | 2014-09-05 | 현대자동차 주식회사 | 차량용 갭 및 단차 측정모듈 및 그 제어방법 |
Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH07294422A (ja) * | 1994-04-27 | 1995-11-10 | Mitsubishi Materials Corp | 表面近傍結晶欠陥の検出方法およびその装置 |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4978862A (en) * | 1988-07-13 | 1990-12-18 | Vti, Inc. | Method and apparatus for nondestructively measuring micro defects in materials |
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1996
- 1996-03-15 KR KR1019980706960A patent/KR20000064554A/ko not_active Application Discontinuation
- 1996-03-15 EP EP96906053A patent/EP0887621A4/en not_active Withdrawn
- 1996-03-15 WO PCT/JP1996/000681 patent/WO1997035162A1/ja not_active Application Discontinuation
Patent Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH07294422A (ja) * | 1994-04-27 | 1995-11-10 | Mitsubishi Materials Corp | 表面近傍結晶欠陥の検出方法およびその装置 |
Non-Patent Citations (1)
Title |
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See also references of EP0887621A4 * |
Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2000235636A (ja) * | 1998-12-14 | 2000-08-29 | Hitachi Ltd | 欠陥情報を利用した情報媒体 |
US7242016B2 (en) | 2000-03-08 | 2007-07-10 | Hitachi, Ltd. | Surface inspection apparatus and method thereof |
WO2006082932A1 (ja) * | 2005-02-03 | 2006-08-10 | Raytex Corporation | 欠陥粒子測定装置および欠陥粒子測定方法 |
US7633617B2 (en) | 2005-02-03 | 2009-12-15 | Raytex Corporation | Defective particle measuring apparatus and defective particle measuring method |
WO2008108041A1 (ja) * | 2007-03-06 | 2008-09-12 | Kabushiki Kaisha Topcon | 表面検査方法及び装置 |
US8009286B2 (en) | 2007-03-06 | 2011-08-30 | Kabushiki Kaisha Topcon | Surface inspecting method and device |
JP2014524013A (ja) * | 2011-06-06 | 2014-09-18 | メディパン・ゲーエムベーハー | 合成校正用粒子を用いた細胞に基づく免疫蛍光アッセイによる免疫蛍光病巣を自動的に判定するための方法及びシステム |
CN102621152A (zh) * | 2012-03-28 | 2012-08-01 | 浙江工业大学 | 一种晶硅抛光片表面缺陷检测系统 |
JP2018205458A (ja) * | 2017-06-01 | 2018-12-27 | 凸版印刷株式会社 | Euvブランク及びeuvマスクの欠陥検査装置、欠陥検査方法、euvマスクの製造方法 |
CN112782175A (zh) * | 2019-11-11 | 2021-05-11 | 深圳中科飞测科技股份有限公司 | 一种检测设备及检测方法 |
Also Published As
Publication number | Publication date |
---|---|
EP0887621A1 (en) | 1998-12-30 |
EP0887621A4 (en) | 2000-12-20 |
KR20000064554A (ko) | 2000-11-06 |
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