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Minoru Biyajima - One of the best experts on this subject based on the ideXlab platform.

  • A potential including the Heaviside Function in the 1 + 1 dimensional hydrodynamics by Landau : Its basic properties and application to data at RHIC energies (Regular Article - Theoretical Physics)
    European Physical Journal A, 2020
    Co-Authors: T Mizoguchi, H Miyazawa, Minoru Biyajima
    Abstract:

    In the 1 + 1 dimensional hydrodynamics originally proposed by Landau, we derive a new potential and distribution Function including the Heaviside Function and investigate their mathematical and physical properties. Using the original distribution derived by Landau, a distribution Function found by Srivastava et al., our distribution Function, and the Gaussian distribution proposed by Carruthers et al., we analyze the data of the rapidity distribution on charged pions and K mesons at RHIC energies ( [FORMULA] = 62.4 GeV and 200GeV). Three distributions derived from the hydrodynamics show almost the same chi-squared values provided the CERN MINUIT is used. We know that our calculations of hadron’s distribution do not strongly depend on the range of integration of fluid rapidity, contrary to that of Srivastava et al. Finally, the roles of the Heaviside Function in concrete analyses of data are investigated.

  • a potential including the Heaviside Function in the 1 1 dimensional hydrodynamics by landau its basic properties and application to data at rhic energies
    European Physical Journal A, 2009
    Co-Authors: T Mizoguchi, H Miyazawa, Minoru Biyajima
    Abstract:

    In the 1 + 1 dimensional hydrodynamics originally proposed by Landau, we derive a new potential and distribution Function including the Heaviside Function and investigate their mathematical and physical properties. Using the original distribution derived by Landau, a distribution Function found by Srivastava et al., our distribution Function, and the Gaussian distribution proposed by Carruthers et al.. we analyze the data of the rapidity distribution on charged pious and K mesons at RHIC energies ( s NN = 62.4 GeV and 200 GeV). Three distributions derived from the hydrodynamics show almost the same chi-squared values provided the CERN MINUIT is used. We know that our calculations of hadron's distribution do not strongly depend on the range of integration of fluid rapidity, contrary to that of Srivastava et al. Finally, the roles of the Heaviside Function in concrete analyses of data are investigated.

  • a potential including the Heaviside Function in the 1 1 dimensional hydrodynamics by landau
    European Physical Journal A, 2009
    Co-Authors: T Mizoguchi, H Miyazawa, Minoru Biyajima
    Abstract:

    In the 1 + 1 dimensional hydrodynamics originally proposed by Landau, we derive a new potential and distribution Function including the Heaviside Function and investigate their mathematical and physical properties. Using the original distribution derived by Landau, a distribution Function found by Srivastava et al., our distribution Function, and the Gaussian distribution proposed by Carruthers et al., we analyze the data of the rapidity distribution on charged pions and K mesons at RHIC energies ( \( \sqrt{{s_{NN}}}\) = 62.4 GeV and 200GeV). Three distributions derived from the hydrodynamics show almost the same chi-squared values provided the CERN MINUIT is used. We know that our calculations of hadron’s distribution do not strongly depend on the range of integration of fluid rapidity, contrary to that of Srivastava et al. Finally, the roles of the Heaviside Function in concrete analyses of data are investigated.

  • a potential including Heaviside Function in 1 1 dimensional hydrodynamics by landau
    arXiv: High Energy Physics - Phenomenology, 2008
    Co-Authors: T Mizoguchi, H Miyazawa, Minoru Biyajima
    Abstract:

    In 1+1 dimensional hydrodynamics originally proposed by Landau, we derive a new potential and distribution Function including Heaviside Function and investigate its mathematical and physical properties. Using the original distribution derived by Landau, a distribution Function found by Srivastava et al., our distribution Function, and the Gaussian distribution proposed by Carruthers et al., we analyze the data of the rapidity distribution on charged pions and K mesons at RHIC energies (sqrt(s_NN) = 62.4 GeV and 200 GeV). Three distributions derived from the hydrodynamics show almost the same chi-squared values provided the CERN MINUIT is used. We know that our calculations of hadron's distribution do not strongly depend on the range of integration of fluid rapidity, contrary to that of Srivastava et al. Finally the roles of the Heaviside Function in concrete analyses of data are investigated.

Jocelyn Chanussot - One of the best experts on this subject based on the ideXlab platform.

  • A Variational Pansharpening Approach Based on Reproducible Kernel Hilbert Space and Heaviside Function
    IEEE Transactions on Image Processing, 2018
    Co-Authors: Liang-jian Deng, Gemine Vivone, Mauro Dalla Mura, Jocelyn Chanussot
    Abstract:

    Pansharpening is an important application in remote sensing image processing. It can increase the spatial-resolution of a multispectral image by fusing it with a high spatial-resolution panchromatic image in the same scene, which brings great favor for subsequent processing such as recognition, detection, etc. In this paper, we propose a continuous modeling and sparse optimization based method for the fusion of a panchromatic image and a multispectral image. The proposed model is mainly based on reproducing kernel Hilbert space (RKHS) and approximated Heaviside Function (AHF). In addition, we also propose a Toeplitz sparse term for representing the correlation of adjacent bands. The model is convex and solved by the alternating direction method of multipliers which guarantees the convergence of the proposed method. Extensive experiments on many real datasets collected by different sensors demonstrate the effectiveness of the proposed technique as compared with several state-of-the-art pansharpening approaches.

  • A variational pansharpening approach based on reproducible kernel Hilbert space and Heaviside Function
    2017 IEEE International Conference on Image Processing (ICIP), 2017
    Co-Authors: Liang-jian Deng, Gemine Vivone, Mauro Dalla Mura, Jocelyn Chanussot
    Abstract:

    In this paper, we propose a continuous modeling and sparse optimization based method for the fusion of a panchromatic (PAN) image and a multispectral (MS) image. The proposed model is mainly based on reproducing kernel Hilbert space (RKHS) and approximated Heaviside Function (AHF). In addition, we also design an iterative strategy to recover more image details. The final model is a convex one and solved by the designed alternating direction method of multipliers (ADMM) which guarantees the convergence of the proposed method. Experimental results on two real datasets corresponding to different sensors and different resolutions demonstrate the effectiveness of the proposed approach as compared with several state-of-the-art pansharpening approaches.

T Mizoguchi - One of the best experts on this subject based on the ideXlab platform.

  • A potential including the Heaviside Function in the 1 + 1 dimensional hydrodynamics by Landau : Its basic properties and application to data at RHIC energies (Regular Article - Theoretical Physics)
    European Physical Journal A, 2020
    Co-Authors: T Mizoguchi, H Miyazawa, Minoru Biyajima
    Abstract:

    In the 1 + 1 dimensional hydrodynamics originally proposed by Landau, we derive a new potential and distribution Function including the Heaviside Function and investigate their mathematical and physical properties. Using the original distribution derived by Landau, a distribution Function found by Srivastava et al., our distribution Function, and the Gaussian distribution proposed by Carruthers et al., we analyze the data of the rapidity distribution on charged pions and K mesons at RHIC energies ( [FORMULA] = 62.4 GeV and 200GeV). Three distributions derived from the hydrodynamics show almost the same chi-squared values provided the CERN MINUIT is used. We know that our calculations of hadron’s distribution do not strongly depend on the range of integration of fluid rapidity, contrary to that of Srivastava et al. Finally, the roles of the Heaviside Function in concrete analyses of data are investigated.

  • a potential including the Heaviside Function in the 1 1 dimensional hydrodynamics by landau its basic properties and application to data at rhic energies
    European Physical Journal A, 2009
    Co-Authors: T Mizoguchi, H Miyazawa, Minoru Biyajima
    Abstract:

    In the 1 + 1 dimensional hydrodynamics originally proposed by Landau, we derive a new potential and distribution Function including the Heaviside Function and investigate their mathematical and physical properties. Using the original distribution derived by Landau, a distribution Function found by Srivastava et al., our distribution Function, and the Gaussian distribution proposed by Carruthers et al.. we analyze the data of the rapidity distribution on charged pious and K mesons at RHIC energies ( s NN = 62.4 GeV and 200 GeV). Three distributions derived from the hydrodynamics show almost the same chi-squared values provided the CERN MINUIT is used. We know that our calculations of hadron's distribution do not strongly depend on the range of integration of fluid rapidity, contrary to that of Srivastava et al. Finally, the roles of the Heaviside Function in concrete analyses of data are investigated.

  • a potential including the Heaviside Function in the 1 1 dimensional hydrodynamics by landau
    European Physical Journal A, 2009
    Co-Authors: T Mizoguchi, H Miyazawa, Minoru Biyajima
    Abstract:

    In the 1 + 1 dimensional hydrodynamics originally proposed by Landau, we derive a new potential and distribution Function including the Heaviside Function and investigate their mathematical and physical properties. Using the original distribution derived by Landau, a distribution Function found by Srivastava et al., our distribution Function, and the Gaussian distribution proposed by Carruthers et al., we analyze the data of the rapidity distribution on charged pions and K mesons at RHIC energies ( \( \sqrt{{s_{NN}}}\) = 62.4 GeV and 200GeV). Three distributions derived from the hydrodynamics show almost the same chi-squared values provided the CERN MINUIT is used. We know that our calculations of hadron’s distribution do not strongly depend on the range of integration of fluid rapidity, contrary to that of Srivastava et al. Finally, the roles of the Heaviside Function in concrete analyses of data are investigated.

  • a potential including Heaviside Function in 1 1 dimensional hydrodynamics by landau
    arXiv: High Energy Physics - Phenomenology, 2008
    Co-Authors: T Mizoguchi, H Miyazawa, Minoru Biyajima
    Abstract:

    In 1+1 dimensional hydrodynamics originally proposed by Landau, we derive a new potential and distribution Function including Heaviside Function and investigate its mathematical and physical properties. Using the original distribution derived by Landau, a distribution Function found by Srivastava et al., our distribution Function, and the Gaussian distribution proposed by Carruthers et al., we analyze the data of the rapidity distribution on charged pions and K mesons at RHIC energies (sqrt(s_NN) = 62.4 GeV and 200 GeV). Three distributions derived from the hydrodynamics show almost the same chi-squared values provided the CERN MINUIT is used. We know that our calculations of hadron's distribution do not strongly depend on the range of integration of fluid rapidity, contrary to that of Srivastava et al. Finally the roles of the Heaviside Function in concrete analyses of data are investigated.

Liang-jian Deng - One of the best experts on this subject based on the ideXlab platform.

  • A Variational Pansharpening Approach Based on Reproducible Kernel Hilbert Space and Heaviside Function
    IEEE Transactions on Image Processing, 2018
    Co-Authors: Liang-jian Deng, Gemine Vivone, Mauro Dalla Mura, Jocelyn Chanussot
    Abstract:

    Pansharpening is an important application in remote sensing image processing. It can increase the spatial-resolution of a multispectral image by fusing it with a high spatial-resolution panchromatic image in the same scene, which brings great favor for subsequent processing such as recognition, detection, etc. In this paper, we propose a continuous modeling and sparse optimization based method for the fusion of a panchromatic image and a multispectral image. The proposed model is mainly based on reproducing kernel Hilbert space (RKHS) and approximated Heaviside Function (AHF). In addition, we also propose a Toeplitz sparse term for representing the correlation of adjacent bands. The model is convex and solved by the alternating direction method of multipliers which guarantees the convergence of the proposed method. Extensive experiments on many real datasets collected by different sensors demonstrate the effectiveness of the proposed technique as compared with several state-of-the-art pansharpening approaches.

  • A variational pansharpening approach based on reproducible kernel Hilbert space and Heaviside Function
    2017 IEEE International Conference on Image Processing (ICIP), 2017
    Co-Authors: Liang-jian Deng, Gemine Vivone, Mauro Dalla Mura, Jocelyn Chanussot
    Abstract:

    In this paper, we propose a continuous modeling and sparse optimization based method for the fusion of a panchromatic (PAN) image and a multispectral (MS) image. The proposed model is mainly based on reproducing kernel Hilbert space (RKHS) and approximated Heaviside Function (AHF). In addition, we also design an iterative strategy to recover more image details. The final model is a convex one and solved by the designed alternating direction method of multipliers (ADMM) which guarantees the convergence of the proposed method. Experimental results on two real datasets corresponding to different sensors and different resolutions demonstrate the effectiveness of the proposed approach as compared with several state-of-the-art pansharpening approaches.

  • Reproducing kernel hilbert space based single infrared image super resolution
    Infrared Physics & Technology, 2016
    Co-Authors: Liangliang Chen, Liang-jian Deng, Wei Shen, Ning Xi, Zhanxin Zhou, Bo Song, Yongliang Yang, Yu Cheng, Lixin Dong
    Abstract:

    Abstract The spatial resolution of Infrared (IR) images is limited by lens optical diffraction, sensor array pitch size and pixel dimension. In this work, a robust model is proposed to reconstruct high resolution infrared image via a single low resolution sampling, where the image features are discussed and classified as reflective, cooled emissive and uncooled emissive based on infrared irradiation source. A spline based reproducing kernel hilbert space and approximative Heaviside Function are deployed to model smooth part and edge component of image respectively. By adjusting the parameters of Heaviside Function, the proposed model can enhance distinct part of images. The experimental results show that the model is applicable on both reflective and emissive low resolution infrared images to improve thermal contrast. The overall outcome produces a high resolution IR image, which makes IR camera better measurement accuracy and observes more details at long distance.

H Miyazawa - One of the best experts on this subject based on the ideXlab platform.

  • A potential including the Heaviside Function in the 1 + 1 dimensional hydrodynamics by Landau : Its basic properties and application to data at RHIC energies (Regular Article - Theoretical Physics)
    European Physical Journal A, 2020
    Co-Authors: T Mizoguchi, H Miyazawa, Minoru Biyajima
    Abstract:

    In the 1 + 1 dimensional hydrodynamics originally proposed by Landau, we derive a new potential and distribution Function including the Heaviside Function and investigate their mathematical and physical properties. Using the original distribution derived by Landau, a distribution Function found by Srivastava et al., our distribution Function, and the Gaussian distribution proposed by Carruthers et al., we analyze the data of the rapidity distribution on charged pions and K mesons at RHIC energies ( [FORMULA] = 62.4 GeV and 200GeV). Three distributions derived from the hydrodynamics show almost the same chi-squared values provided the CERN MINUIT is used. We know that our calculations of hadron’s distribution do not strongly depend on the range of integration of fluid rapidity, contrary to that of Srivastava et al. Finally, the roles of the Heaviside Function in concrete analyses of data are investigated.

  • a potential including the Heaviside Function in the 1 1 dimensional hydrodynamics by landau its basic properties and application to data at rhic energies
    European Physical Journal A, 2009
    Co-Authors: T Mizoguchi, H Miyazawa, Minoru Biyajima
    Abstract:

    In the 1 + 1 dimensional hydrodynamics originally proposed by Landau, we derive a new potential and distribution Function including the Heaviside Function and investigate their mathematical and physical properties. Using the original distribution derived by Landau, a distribution Function found by Srivastava et al., our distribution Function, and the Gaussian distribution proposed by Carruthers et al.. we analyze the data of the rapidity distribution on charged pious and K mesons at RHIC energies ( s NN = 62.4 GeV and 200 GeV). Three distributions derived from the hydrodynamics show almost the same chi-squared values provided the CERN MINUIT is used. We know that our calculations of hadron's distribution do not strongly depend on the range of integration of fluid rapidity, contrary to that of Srivastava et al. Finally, the roles of the Heaviside Function in concrete analyses of data are investigated.

  • a potential including the Heaviside Function in the 1 1 dimensional hydrodynamics by landau
    European Physical Journal A, 2009
    Co-Authors: T Mizoguchi, H Miyazawa, Minoru Biyajima
    Abstract:

    In the 1 + 1 dimensional hydrodynamics originally proposed by Landau, we derive a new potential and distribution Function including the Heaviside Function and investigate their mathematical and physical properties. Using the original distribution derived by Landau, a distribution Function found by Srivastava et al., our distribution Function, and the Gaussian distribution proposed by Carruthers et al., we analyze the data of the rapidity distribution on charged pions and K mesons at RHIC energies ( \( \sqrt{{s_{NN}}}\) = 62.4 GeV and 200GeV). Three distributions derived from the hydrodynamics show almost the same chi-squared values provided the CERN MINUIT is used. We know that our calculations of hadron’s distribution do not strongly depend on the range of integration of fluid rapidity, contrary to that of Srivastava et al. Finally, the roles of the Heaviside Function in concrete analyses of data are investigated.

  • a potential including Heaviside Function in 1 1 dimensional hydrodynamics by landau
    arXiv: High Energy Physics - Phenomenology, 2008
    Co-Authors: T Mizoguchi, H Miyazawa, Minoru Biyajima
    Abstract:

    In 1+1 dimensional hydrodynamics originally proposed by Landau, we derive a new potential and distribution Function including Heaviside Function and investigate its mathematical and physical properties. Using the original distribution derived by Landau, a distribution Function found by Srivastava et al., our distribution Function, and the Gaussian distribution proposed by Carruthers et al., we analyze the data of the rapidity distribution on charged pions and K mesons at RHIC energies (sqrt(s_NN) = 62.4 GeV and 200 GeV). Three distributions derived from the hydrodynamics show almost the same chi-squared values provided the CERN MINUIT is used. We know that our calculations of hadron's distribution do not strongly depend on the range of integration of fluid rapidity, contrary to that of Srivastava et al. Finally the roles of the Heaviside Function in concrete analyses of data are investigated.