The Experts below are selected from a list of 564048 Experts worldwide ranked by ideXlab platform
Susumu Sato - One of the best experts on this subject based on the ideXlab platform.
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determination of anchoring energy in nematic liquid crystal cells with controllable twist angles using a stokes Parameter Method
Japanese Journal of Applied Physics, 2004Co-Authors: Marenori Kawamura, Yoshiaki Goto, Susumu SatoAbstract:An accurate measurement Method for determining the two-dimensional distribution of an azimuthal anchoring energy is developed by continuously controlling the combination angle between two rubbing alignment films of a sample liquid crystal cell. The anchoring energy can be precisely obtained by measuring actual cell Parameters, such as cell thickness and the twist angle of the liquid crystal (LC) cell by torque balance and Stokes Parameter Methods.
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near infrared stokes Parameter Method for determining two dimensional cell thickness and twist angle distributions of liquid crystal color displays
Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, 2002Co-Authors: Marenori Kawamura, Susumu SatoAbstract:We propose a two-dimensional (2D) and hyperfine measurement Method for precisely determining cell Parameter distributions such as a cell thickness and twist angle in color liquid crystal (LC) displays. The 2D cell thickness and twist angle distributions can easily be determined by measuring Stokes Parameters of all pixels for red, green and blue in LCD panel at a wavelength of near-infrared region, because the transmission light at the wavelength is not absorbed by each color filter. In addition, the spatial resolution can be improved by increasing the magnification of the objective lens in front of a high resolution CCD camera. These cell Parameters of each pixel in the practical LCD panel are compared and discussed.
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evaluation of cell Parameters of tn liquid crystal cells by using a stokes Parameter Method
Molecular Crystals and Liquid Crystals, 2001Co-Authors: Masaki Okabe, Makoto Kaneko, Toshiaki Maehara, Yoshihiro Togashi, Susumu SatoAbstract:Abstract Evaluation of cell thickness and a twist angle of a liquid crystal layer is very important in the liquid crystal study and manufacturing. We have developed an analysis system of the cell thickness and the twist angle of the liquid crystal layer, named ‘LCD Analyzer’, which is based on the Stokes Parameter Method. We have examined the effects of the performance of the optics on the measurement and a measuring condition, and achieved good precision of evaluating the cell Parameters.
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measurements of cell Parameters in reflective liquid crystal cells by using a stokes Parameter Method
Molecular Crystals and Liquid Crystals, 2001Co-Authors: Marenori Kawamura, Akio Okamoto, Susumu SatoAbstract:Abstract We propose an application of Stokes Parameter Method (SPM) for determining cell Parameters of reflective twisted nematic (TN) liquid crystal (LC) cells by measuring Stokes Parameters of the LC cells. The relationship between the Stokes Parameters of the reflection light of the reflective TN LC cells and cell properties such as the thickness and twist angle are given on Jones matrix representation. The cell properties of the reflective LC cell are discussed and compared with those of the transmissive LC cell. The cell thickness of the reflective TN LC cell can be measured, but the twist angle cannot be determined by this Method.
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measurements of cell thickness distributions in reflective liquid crystal cells using a two dimensional stokes Parameter Method
Japanese Journal of Applied Physics, 2001Co-Authors: Marenori Kawamura, Susumu SatoAbstract:A two-dimensional (2D) Stokes Parameter Method for measuring the cell properties of reflective liquid crystal (LC) cells is proposed. Relationships between the Stokes Parameters of the reflected light from the reflective LC cell and the thickness of the LC layer are given by Jones matrix representation. The hyperfine cell thickness distributions can be determined by measuring Stokes Parameters of the LC cell and solving Stokes Parameter equations. Moreover, these values are discussed and compared with those of the transmissive-type LC cell.
D Scott - One of the best experts on this subject based on the ideXlab platform.
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a comparison of the galaxy peculiar velocity field with the pscz gravity field a bayesian hyper Parameter Method
Monthly Notices of the Royal Astronomical Society, 2012Co-Authors: E Branchini, D ScottAbstract:We constructed a Bayesian hyper-Parameter statistical Method to quantify the difference between predicted velocities derived from the observed galaxy distribution in the IRAS-PSCz (Point Source Catalogue Redshift) survey and peculiar velocities measured using different distance indicators. In our analysis, we find that the model–data comparison becomes unreliable beyond 70 h −1 Mpc because of the inadequate sampling by the IRAS survey of prominent, distant superclusters, like the Shapley Concentration. On the other hand, the analysis of the velocity residuals shows that the PSCz gravity field provides an adequate model to the local, ≤70 h −1 Mpc, peculiar velocity field. The hyper-Parameter combination of ENEAR, SN, A1SN and SFI++ catalogues in the Bayesian framework constrains the amplitude of the linear flow to be β = 0.53 ± 0.014. For an rms density fluctuation in the PSCz galaxy number density σ gal 8 = 0.42 ± 0.03, we obtain an estimate of the growth rate of density fluctuations f σ 8(z ∼ 0) = 0.42 ± 0.033, which is in excellent agreement with independent estimates based on different techniques.
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a comparison of the galaxy peculiar velocity field with the pscz gravity field a bayesian hyper Parameter Method
arXiv: Cosmology and Nongalactic Astrophysics, 2012Co-Authors: E Branchini, D ScottAbstract:We constructed a Bayesian hyper-Parameter statistical Method to quantify the difference between predicted velocities derived from the observed galaxy distribution in the \textit{IRAS}-PSC$z$ redshift survey and peculiar velocities measured using different distance indicators. In our analysis we find that the model--data comparison becomes unreliable beyond $70 \hmpc$ because of the inadequate sampling by \textit{IRAS} survey of prominent, distant superclusters, like the Shapley Concentration. On the other hand, the analysis of the velocity residuals show that the PSC$z$ gravity field provides an adequate model to the local, $\le 70 \hmpc$, peculiar velocity field. The hyper-Parameter combination of ENEAR, SN, A1SN and SFI++ catalogues in the Bayesian framework constrains the amplitude of the linear flow to be $\beta=0.53 \pm 0.014$. For an rms density fluctuations in the PSC$z$ galaxy number density $\sigma_8^{\rm gal}=0.42\pm0.03$, we obtain an estimate of the growth rate of density fluctuations $f\sigma_{8}(z\sim0) = 0.42 \pm 0.033$, which is in excellent agreement with independent estimates based on different techniques.
E Branchini - One of the best experts on this subject based on the ideXlab platform.
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a comparison of the galaxy peculiar velocity field with the pscz gravity field a bayesian hyper Parameter Method
Monthly Notices of the Royal Astronomical Society, 2012Co-Authors: E Branchini, D ScottAbstract:We constructed a Bayesian hyper-Parameter statistical Method to quantify the difference between predicted velocities derived from the observed galaxy distribution in the IRAS-PSCz (Point Source Catalogue Redshift) survey and peculiar velocities measured using different distance indicators. In our analysis, we find that the model–data comparison becomes unreliable beyond 70 h −1 Mpc because of the inadequate sampling by the IRAS survey of prominent, distant superclusters, like the Shapley Concentration. On the other hand, the analysis of the velocity residuals shows that the PSCz gravity field provides an adequate model to the local, ≤70 h −1 Mpc, peculiar velocity field. The hyper-Parameter combination of ENEAR, SN, A1SN and SFI++ catalogues in the Bayesian framework constrains the amplitude of the linear flow to be β = 0.53 ± 0.014. For an rms density fluctuation in the PSCz galaxy number density σ gal 8 = 0.42 ± 0.03, we obtain an estimate of the growth rate of density fluctuations f σ 8(z ∼ 0) = 0.42 ± 0.033, which is in excellent agreement with independent estimates based on different techniques.
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a comparison of the galaxy peculiar velocity field with the pscz gravity field a bayesian hyper Parameter Method
arXiv: Cosmology and Nongalactic Astrophysics, 2012Co-Authors: E Branchini, D ScottAbstract:We constructed a Bayesian hyper-Parameter statistical Method to quantify the difference between predicted velocities derived from the observed galaxy distribution in the \textit{IRAS}-PSC$z$ redshift survey and peculiar velocities measured using different distance indicators. In our analysis we find that the model--data comparison becomes unreliable beyond $70 \hmpc$ because of the inadequate sampling by \textit{IRAS} survey of prominent, distant superclusters, like the Shapley Concentration. On the other hand, the analysis of the velocity residuals show that the PSC$z$ gravity field provides an adequate model to the local, $\le 70 \hmpc$, peculiar velocity field. The hyper-Parameter combination of ENEAR, SN, A1SN and SFI++ catalogues in the Bayesian framework constrains the amplitude of the linear flow to be $\beta=0.53 \pm 0.014$. For an rms density fluctuations in the PSC$z$ galaxy number density $\sigma_8^{\rm gal}=0.42\pm0.03$, we obtain an estimate of the growth rate of density fluctuations $f\sigma_{8}(z\sim0) = 0.42 \pm 0.033$, which is in excellent agreement with independent estimates based on different techniques.
Jingfung Lin - One of the best experts on this subject based on the ideXlab platform.
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a hybrid approach for measuring the Parameters of twisted nematic liquid crystal cells utilizing the stokes Parameter Method and a genetic algorithm
Journal of Lightwave Technology, 2009Co-Authors: Weilian Lin, Jingfung LinAbstract:A new approach is proposed for measuring the cell thickness, twist angle, pretilt angle, and azimuth angle of twisted-nematic liquid crystal (TNLC) cells utilizing the Stokes Parameter Method and a genetic algorithm (GA). In the proposed approach, the Stokes Parameters are measured for linearly polarized probe lights with polarization angles of 0deg and 45deg, respectively, with the azimuth angle of the test cell set to 0deg. The TNLC is then rotated through 45deg and the Stokes Parameters are remeasured. The four sets of Stokes Parameters are processed by GA for the data fitting to inversely derive the cell Parameters, and especially the pretilt angle is successfully obtained with slight tilt of the cell. Also, the proposed Method enables the four Parameters of the TNLC cell to be measured over the full azimuth angle range and involves a single wavelength only. Unlike existing Methods that need continuously rotating the polarizer for achieving a curve fitting in Stokes Parameters or using multiple wavelengths, this technique first proposed in this study supplies a simpler and cheaper Methodology to extract the four Parameters of TNLC cell. The experimental results show that the maximum standard deviations of the cell thickness, twist angle, pretilt angle, and azimuth angle are Deltad = 0.002 mum, Deltaphi = 0.09deg, Deltathetasp = 0.28deg, and Deltaalpha = 0.08deg, respectively. Also, the azimuth angle alpha can be extracted in the full range in this study.
Marenori Kawamura - One of the best experts on this subject based on the ideXlab platform.
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determination of anchoring energy in nematic liquid crystal cells with controllable twist angles using a stokes Parameter Method
Japanese Journal of Applied Physics, 2004Co-Authors: Marenori Kawamura, Yoshiaki Goto, Susumu SatoAbstract:An accurate measurement Method for determining the two-dimensional distribution of an azimuthal anchoring energy is developed by continuously controlling the combination angle between two rubbing alignment films of a sample liquid crystal cell. The anchoring energy can be precisely obtained by measuring actual cell Parameters, such as cell thickness and the twist angle of the liquid crystal (LC) cell by torque balance and Stokes Parameter Methods.
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near infrared stokes Parameter Method for determining two dimensional cell thickness and twist angle distributions of liquid crystal color displays
Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, 2002Co-Authors: Marenori Kawamura, Susumu SatoAbstract:We propose a two-dimensional (2D) and hyperfine measurement Method for precisely determining cell Parameter distributions such as a cell thickness and twist angle in color liquid crystal (LC) displays. The 2D cell thickness and twist angle distributions can easily be determined by measuring Stokes Parameters of all pixels for red, green and blue in LCD panel at a wavelength of near-infrared region, because the transmission light at the wavelength is not absorbed by each color filter. In addition, the spatial resolution can be improved by increasing the magnification of the objective lens in front of a high resolution CCD camera. These cell Parameters of each pixel in the practical LCD panel are compared and discussed.
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measurements of cell Parameters in reflective liquid crystal cells by using a stokes Parameter Method
Molecular Crystals and Liquid Crystals, 2001Co-Authors: Marenori Kawamura, Akio Okamoto, Susumu SatoAbstract:Abstract We propose an application of Stokes Parameter Method (SPM) for determining cell Parameters of reflective twisted nematic (TN) liquid crystal (LC) cells by measuring Stokes Parameters of the LC cells. The relationship between the Stokes Parameters of the reflection light of the reflective TN LC cells and cell properties such as the thickness and twist angle are given on Jones matrix representation. The cell properties of the reflective LC cell are discussed and compared with those of the transmissive LC cell. The cell thickness of the reflective TN LC cell can be measured, but the twist angle cannot be determined by this Method.
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measurements of cell thickness distributions in reflective liquid crystal cells using a two dimensional stokes Parameter Method
Japanese Journal of Applied Physics, 2001Co-Authors: Marenori Kawamura, Susumu SatoAbstract:A two-dimensional (2D) Stokes Parameter Method for measuring the cell properties of reflective liquid crystal (LC) cells is proposed. Relationships between the Stokes Parameters of the reflected light from the reflective LC cell and the thickness of the LC layer are given by Jones matrix representation. The hyperfine cell thickness distributions can be determined by measuring Stokes Parameters of the LC cell and solving Stokes Parameter equations. Moreover, these values are discussed and compared with those of the transmissive-type LC cell.
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26 2 a two dimensional and hyperfine measurement Method of cell Parameter distributions in the reflective lc cell by using a stokes Parameter Method
SID Symposium Digest of Technical Papers, 2001Co-Authors: Marenori Kawamura, Susumu SatoAbstract:We propose a two-dimensional (2D) measurement Method for precisely determining cell Parameter distributions in reflective LC displays. The hyperfine 2D cell thickness distribution can easily and rapidly be determined by measuring Stokes Parameters of the LC cells for each pixel of a CCD camera.
