检索结果-内蒙古大学图书馆

Author Correction: Why rankings of biomedical image analysis competitions should be interpreted with care

学校读者我要写书评

暂无评论

Nature communications 2019年第1期10卷 588页

作者： Lena Maier-Hein Matthias Eisenmann Annika Reinke Sinan Onogur Marko Stankovic Patrick Scholz Tal Arbel Hrvoje Bogunovic Andrew P Bradley Aaron Carass Carolin Feldmann Alejandro F Frangi Peter M Full Bram van Ginneken Allan Hanbury Katrin Honauer Michal Kozubek Bennett A Landman Keno März Oskar Maier Klaus Maier-Hein Bjoern H Menze Henning Müller Peter F Neher Wiro Niessen Nasir Rajpoot Gregory C Sharp Korsuk Sirinukunwattana Stefanie Speidel Christian Stock Danail Stoyanov Abdel Aziz Taha Fons van der Sommen Ching-Wei Wang Marc-André Weber Guoyan Zheng Pierre Jannin Annette Kopp-Schneider Division of Computer Assisted Medical Interventions (CAMI) German Cancer Research Center (DKFZ) 69120 Heidelberg Germany. l.maier-hein@dkfz.de. Division of Computer Assisted Medical Interventions (CAMI) German Cancer Research Center (DKFZ) 69120 Heidelberg Germany. Centre for Intelligent Machines McGill University Montreal QC H3A0G4 Canada. Christian Doppler Laboratory for Ophthalmic Image Analysis Department of Ophthalmology Medical University Vienna 1090 Vienna Austria. Science and Engineering Faculty Queensland University of Technology Brisbane QLD 4001 Australia. Department of Electrical and Computer Engineering Department of Computer Science Johns Hopkins University Baltimore MD 21218 USA. CISTIB - Center for Computational Imaging & Simulation Technologies in Biomedicine The University of Leeds Leeds Yorkshire LS2 9JT UK. Department of Radiology and Nuclear Medicine Medical Image Analysis Radboud University Center 6525 GA Nijmegen The Netherlands. Institute of Information Systems Engineering TU Wien 1040 Vienna Austria. Complexity Science Hub Vienna 1080 Vienna Austria. Heidelberg Collaboratory for Image Processing (HCI Heidelberg University 69120 Heidelberg Germany. Centre for Biomedical Image Analysis Masaryk University 60200 Brno Czech Republic. Electrical Engineering Vanderbilt University Nashville TN 37235-1679 USA. Institute of Medical Informatics Universität zu Lübeck 23562 Lübeck Germany. Division of Medical Image Computing (MIC) German Cancer Research Center (DKFZ) 69120 Heidelberg Germany. Institute for Advanced Studies Department of Informatics Technical University of Munich 80333 Munich Germany. Information System Institute HES-SO Sierre 3960 Switzerland. Departments of Radiology Nuclear Medicine and Medical Informatics Erasmus MC 3015 GD Rotterdam The Netherlands. Department of Computer Science University of Warwick Coventry CV4 7AL UK. Department of Radiation Oncology Massachusetts General Hospital Boston MA

In the original version of this Article the values in the rightmost column of Table 1 were inadvertently shifted relative to the other columns. This has now been corrected in the PDF and HTML versions of the Article.

关键词：

Iteratively linearized reweighted alternating direction method of multipliers for a class of nonconvex problems

学校读者我要写书评

暂无评论

arXiv 2017年

作者： Sun, Tao Jiang, Hao Cheng, Lizhi Zhu, Wei Department of Mathematics National University of Defense Technology Changsha Hunan410073 China College of Computer National University of Defense Technology Changsha Hunan410073 China The State Key Laboratory for High Performance Computation National University of Defense Technology Changsha Hunan410073 China Hunan Key Laboratory for Computation and Simulation in Science and Engineering School of Mathematics and Computational Science Xiangtan University Xiangtan Hunan411105 China

In this paper, we consider solving a class of nonconvex and nonsmooth problems frequently appearing in signal processing and machine learning research. The traditional alternating direction method of multipliers encounters troubles in both mathematics and computations in solving the nonconvex and nonsmooth subproblem. In view of this, we propose a reweighted alternating direction method of multipliers. In this algorithm, all subproblems are convex and easy to solve. We also provide several guarantees for the convergence and prove that the algorithm globally converges to a critical point of an auxiliary function with the help of the Kurdyka-Lojasiewicz property. Several numerical results are presented to demonstrate the efficiency of the proposed algorithm. Copyright © 2017, The Authors. All rights reserved.

关键词： Iterative methods

Simulating the cloudy atmospheres of HD 209458 b and HD 189733 b with the 3D Met Office Unified Model

学校读者我要写书评

暂无评论

arXiv 2018年

作者： Lines, S. Mayne, N.J. Boutle, I.A. Manners, J. Lee, G.K.H. Helling, Ch. Drummond, B. Amundsen, D.S. Goyal, J. Acreman, D.M. Tremblin, P. Kerslake, M. Physics and Astronomy College of Engineering Mathematics and Physical Sciences University of Exeter EX44QL United Kingdom Computer Science College of Engineering Mathematics and Physical Sciences University of Exeter EX44QF United Kingdom Met Office FitzRoy Road Exeter DevonEX13PB United Kingdom Centre for Exoplanet Science University of St Andrews North Haugh St Andrews FifeKY169SS United Kingdom School of Physics and Astronomy University of St Andrews North Haugh St Andrews FifeKY169SS United Kingdom Atmospheric Oceanic & Planetary Physics Department of Physics University of Oxford OxfordOX13PU United Kingdom NASA Goddard Institute for Space Studies 2880 Broadway New YorkNY10025 United States Department of Applied Physics and Applied Mathematics Columbia University New YorkNY10027 United States Maison de la Simulation CEA CNRS Univ. Paris-Sud UVSQ Université Paris-Saclay Gif-Sur-Yvette91191 France

Aims. To understand and compare the 3D atmospheric structure of HD 209458 b and HD 189733 b, focusing on the formation and distribution of cloud particles, as well as their feedback on the dynamics and thermal profile. Methods. We couple the 3D Met Office Unified Model (UM), including detailed treatments of atmospheric radiative transfer and dynamics, to a kinetic cloud formation scheme. The resulting model self-consistently solves for the formation of condensation seeds, surface growth and evaporation, gravitational settling and advection, cloud radiative feedback via absorption and, crucially, scattering. We use fluxes directly obtained from the UM to produce synthetic spectral energy distributions and phase curves. Results. Our simulations show extensive cloud formation in both HD 209458 b and HD 189733 b. However, cooler temperatures in the latter result in higher cloud particle number densities. Large particles, reaching 1 μm in diameter, can form due to high particle growth velocities, and sub-μm particles are suspended by vertical flows leading to extensive upper-atmosphere cloud cover. A combination of meridional advection and efficient cloud formation in cooler high latitude regions, result in enhanced cloud coverage for latitudes > 30° and leads to a zonally banded structure for all our simulations. The cloud bands extend around the entire planet, for HD 209458 b and HD 189733 b, as the temperatures, even on the day side, remain below the condensation temperature of silicates and oxides. Therefore, the simulated optical phase curve for HD 209458 b shows no 'offset', in contrast to observations. Efficient scattering of stellar irradiation by cloud particles results in a local maximum cooling of up to 250 K in the upper atmosphere, and an advection-driven fluctuating cloud opacity causes temporal variability in the thermal emission. The inclusion of this fundamental cloud-atmosphere radiative feedback leads to significant differences with approaches neglecti

关键词： Numerical methods

A multi-scale surface integral equation domain decomposition method for high-fidelity electromagnetic simulation

学校读者我要写书评

暂无评论

A multi-scale surface integral equation domain decomposition...

Antennas and Propagation Society International Symposium

作者： Hong-Wei Gao Zhen Peng Xin-Qing Sheng Department of Electrical & Computer Engineering University of New Mexico Albuquerque NM USA The Center for Electromagnetic Simulation Beijing Institute of Technology Beijing China

This research concerns the use of domain decomposition methods for the integral equation based solution of large, complex electromagnetic problems. In particular, we investigate an effective coarse-graining approach via hierarchical skeletonization to address the computational challenges for multi-scale modeling and simulation. This work exploits the rank deficiency property exhibited in the interaction matrices between subdomains. We first employ the interpolative decomposition technique to select effective basis functions, the so-called skeletons, for individual subdomains. This skeletonization process is rigorous, error controllable, and can be achieved locally per subdomain and in parallel. Subsequently, the interactions between subdomains are computed using selected skeletons, and domain decomposition iterations are performed on the coarse-grained compressed system. Numerical results validate that the coarse-grained system exhibits a much smaller matrix dimension, provides desired confined eigenspectrum, and leads to a dramatic reduction in computational complexity for multi-scale problems of interest.

关键词： Skeleton Integral equations Electromagnetics Mathematical model Computational modeling Manganese Computational complexity

Application of the independent component analysis to the iKAGRA data

学校读者我要写书评

暂无评论

arXiv 2019年

作者： Akutsu, T. Ando, M. Arai, K. Arai, Y. Araki, S. Araya, A. Aritomi, N. Asada, H. Aso, Y. Atsuta, S. Awai, K. Bae, S. Bae, Y. Baiotti, L. Bajpai, R. Barton, M.A. Cannon, K. Capocasa, E. Chan, M. Chen, C. Chen, K. Chen, Y. Chu, H. Chu, Y.-K. Craig, K. Creus, W. Doi, K. Eda, K. Eguchi, S. Enomoto, Y. Flaminio, R. Fujii, Y. Fujimoto, M.-K. Fukunaga, M. Fukushima, M. Furuhata, T. Ge, G. Hagiwara, A. Haino, S. Hasegawa, K. Hashino, K. Hayakawa, H. Hayama, K. Himemoto, Y. Hiranuma, Y. Hirata, N. Hirobayashi, S. Hirose, E. Hong, Z. Hsieh, B.H. Huang, G.-Z. Huang, P. Huang, Y. Ikenoue, B. Imam, S. Inayoshi, K. Inoue, Y. Ioka, K. Itoh, Y. Izumi, K. Jung, K. Jung, P. Kaji, T. Kajita, T. Kakizaki, M. Kamiizumi, M. Kanbara, S. Kanda, N. Kanemura, S. Kaneyama, M. Kang, G. Kasuya, J. Kataoka, Y. Kawaguchi, K. Kawai, N. Kawamura, S. Kawasaki, T. Kim, C. Kim, J.C. Kim, W.S. Kim, Y.-M. Kimura, N. Kinugawa, T. Kirii, S. Kita, N. Kitaoka, Y. Kitazawa, H. Kojima, Y. Kokeyama, K. Komori, K. Kong, A.K.H. Kotake, K. Kozakai, C. Kozu, R. Kumar, R. Kume, J. Kuo, C. Kuo, H.-S. Kuroyanagi, S. Kusayanagi, K. Kwak, K. Lee, H.K. Lee, H.M. Lee, H.W. Lee, R. Leonardi, M. Lin, C. Lin, C.-Y. Lin, F.-L. Liu, G.C. Liu, Y. Luo, L. Majorana, E. Mano, S. Marchio, M. Matsui, T. Matsushima, F. Michimura, Y. Mio, N. Miyakawa, O. Miyamoto, A. Miyamoto, T. Miyazaki, Y. Miyo, K. Miyoki, S. Morii, W. Morisaki, S. Moriwaki, Y. Morozumi, T. Musha, M. Nagano, K. Nagano, S. Nakamura, K. Nakamura, T. Nakano, H. Nakano, M. Nakao, K. Nakashima, R. Narikawa, T. Naticchioni, L. Negishi, R. Nguyen Quynh, L. Ni, W.-T. Nishizawa, A. Obuchi, Y. Ochi, T. Ogaki, W. Oh, J.J. Oh, S.H. Ohashi, M. Ohishi, N. Ohkawa, M. Okutomi, K. Oohara, K. Ooi, C.P. Oshino, S. Pan, K. Pang, H. Park, J. Peña Arellano, F.E. Pinto, I. Sago, N. Saijo, M. Saito, S. Saito, Y. Sakai, K. Sakai, Y. Sakai, Y. Mitaka City Tokyo181-8588 Japan Japan Department of Physics University of Tokyo Bunkyo-ku Tokyo113-0033 Japan University of Tokyo Bunkyo-ku Tokyo113-0033 Japan KAGRA Observatory University of Tokyo Kashiwa City Chiba277-8582 Japan Tsukuba City Ibaraki305-0801 Japan Earthquake Research Institute University of Tokyo Bunkyo-ku Tokyo113-0032 Japan Department of Mathematics and Physics Hirosaki University Hirosaki City Aomori036-8561 Japan Kamioka-cho Hida City Gifu506-1205 Japan Mitaka City Tokyo181-8588 Japan Graduate School of Science and Technology Tokyo Institute of Technology Meguro-ku Tokyo152-8551 Japan KAGRA Observatory University of Tokyo Kamioka-cho Hida City Gifu506-1205 Japan Yuseong-gu Daejeon34141 Korea Republic of National Institute for Mathematical Sciences Daejeon34047 Korea Republic of Department of Earth and Space Science Graduate School of Science Osaka University Toyonaka City Osaka560-0043 Japan Tsukuba City Ibaraki305-0801 Japan Department of Applied Physics Fukuoka University Jonan Fukuoka City Fukuoka814-0180 Japan Department of Physics Tamkang University Danshui Dist. New Taipei City25137 Taiwan Department of Physics and Institute of Astronomy National Tsing Hua University Hsinchu30013 Taiwan Department of Physics Center for High Energy and High Field Physics National Central University Zhongli District Taoyuan City32001 Taiwan Institute of Physics Academia Sinica Nankang Taipei11529 Taiwan Department of Physics University of Toyama Toyama City Toyama930-8555 Japan Université Savoie Mont Blanc CNRS/IN2P3 AnnecyF-74941 France Department of Astronomy University of Tokyo Mitaka City Tokyo181-8588 Japan Chinese Academy of Sciences Xiaohongshan Wuhan430071 China Tsukuba City Ibaraki305-0801 Japan College of Industrial Technology Nihon University Narashino City Chiba275-8575 Japan Graduate School of Science and Technology Niigata University Nishi-ku Niig

We apply independent component analysis (ICA) to the real data from a gravitational wave detector for the first time. ICA separates various sources of signals from multiple detection channels making use of non-Gaussian nature of the statistical distributions of the sources. Specifically we use the iKAGRA data taken in April 2016, and calculate the correlations between the gravitational wave strain channel and 35 physical environmental channels. Using a couple of seismic channels which are found to be strongly correlated with the strain, we perform ICA. Injecting a sinusoidal continuous signal in the strain channel, we find that ICA recovers correct parameters with enhanced signal-to-noise ratio, which demonstrates usefulness of this method. Copyright © 2019, The Authors. All rights reserved.

关键词： Independent component analysis

Active voltage balancing control for multi HV-IGBTs in series connection

学校读者我要写书评

暂无评论

Active voltage balancing control for multi HV-IGBTs in serie...

IEEE Energy Conversion Congress and Exposition

作者： Shiqi Ji Fred Wang Leon Tolbert Ting Lu Zhengming Zhao Hualong Yu Department of Electrical Engineering and Computer Science University of Tennessee Knoxville TN USA State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing China

ISBN: (纸本)9781509007387

The series connection of insulated gate bipolar transistors (IGBTs) allows the operation at voltage levels higher than the rated voltage of one IGBT. However, the technology has not been widely applied due to transient voltage unbalance. Asynchronous gate drive signals, which cause series-connected IGBTs not to turn-on and turn-off at the same time, result in serious unbalanced voltage sharing. This paper presents an active voltage balancing control for multi series connected HV-IGBTs including the active voltage balancing control (AVBC) circuit integrated in the gate driver and the control for multi series connected IGBTs. The effectiveness of the control has been experimentally validated in a 10 kV dc-link voltage converter using four 4.5 kV HV-IGBTs in series connection.

关键词： active voltage balancing control multi HV-IGBTs series connection

Optimal maximum likelihood estimates fusion in distributed network of sensors

学校读者我要写书评

暂无评论

Optimal maximum likelihood estimates fusion in distributed n...

IEEE International Conference on Intelligent computer Communication and Processing (ICCP)

作者： Bharat Madan Doina Bein Dept. of Modeling Simulation & Visualization Engineering Old Dominion University Norfolk USA Department of Computer Science California State University Fullerton Fullerton USA

ISBN: (纸本)9781509039005

A distributed network of sensors leverages its performance by aggregating information gathered by individual sensors through the process of sensor data fusion. Estimating parameters using a centralized scheme entails transporting data from multiple sensors to a centralized fusion center, leading to high network bandwidth consumption. Additionally, fusing raw sensor data from sensors with different sensing modalities may not be feasible. We propose an alternative approach in which each sensor first individually estimates the unknown parameters based solely on its own sensor data. Since sensors may not have a-priori knowledge of the probability distribution of the unknown parameters, each sensor independently computes its individual maximum likelihood estimates. Individual estimates along with their sufficient statistics are then communicated to the fusion center, which treats these estimates as observations to compute the optimum aggregated maximum likelihood estimates by maximizing the new likelihood function of these observations. The proposed technique offers two significant advantages: (i) Since each sensor computes its individual estimates based solely on its own sensed data, it is easily applicable to sensor networks having multi-modal sensors, and (ii) As compared to raw sensor data, communicating estimates and their sufficient statistics to the fusion center requires substantially less network bandwidth. Performance of the aggregated estimates is evaluated through simulations and by computing the Cramer-Rao lower bound.

关键词： Maximum likelihood estimation Sensor fusion Bandwidth Sensor phenomena and characterization Computational modeling

Estimation and Measurement of Closed-loop Delays in the Actual WACS of Guizhou Power Grid

学校读者我要写书评

暂无评论

Estimation and Measurement of Closed-loop Delays in the Actu...

IEEE Power and Energy Society General Meeting

作者： Fang Zhang Lin Cheng Xiong Li Min Zeng Yuanzhang Sun Joe H. Chow State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Tsinghua University School of Electrical Engineering Wuhan University Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute

ISBN: (纸本)9781509041695

The characterization of the closed-loop delays in a wide-area control system (WACS) is an important foundation for further research. The method to estimate and measure the closed-loop delay in actual WACSs were proposed in this paper. Then, the closed-loop delays in the actual WACS in Guizhou Power Grid in China were measured and analyzed. Also, the measured delays were used to verify the normal distribution estimation model proposed in previous research. The results indicate that the closed-loop delay in the WACS followed a normal distribution.

关键词： CLOSED LOOP Power grids Gaussian distribution delay WACS

First cryogenic test operation of underground km-scale gravitational-wave observatory KAGRA

学校读者我要写书评

暂无评论

arXiv 2019年

作者： Akutsu, T. Ando, M. Arai, K. Arai, Y. Araki, S. Araya, A. Aritomi, N. Asada, H. Aso, Y. Atsuta, S. Awai, K. Bae, S. Baiotti, L. Barton, M.A. Cannon, K. Capocasa, E. Chen, C.-S. Chiu, T.-W. Cho, K. Chu, Y.-K. Craig, K. Creus, W. Doi, K. Eda, K. Enomoto, Y. Flaminio, R. Fujii, Y. Fujimoto, M.-K. Fukunaga, M. Fukushima, M. Furuhata, T. Hagiwara, A. Haino, S. Hasegawa, K. Hashino, K. Hayama, K. Hirobayashi, S. Hirose, E. Hsieh, B.H. Huang, C.-Z. Ikenoue, B. Inoue, Y. Ioka, K. Itoh, Y. Izumi, K. Kaji, T. Kajita, T. Kakizaki, M. Kamiizumi, M. Kanbara, S. Kanda, N. Kanemura, S. Kaneyama, M. Kang, G. Kasuya, J. Kataoka, Y. Kawai, N. Kawamura, S. Kawasaki, T. Kim, C. Kim, J. Kim, J.C. Kim, W.S. Kim, Y.-M. Kimura, N. Kinugawa, T. Kirii, S. Kitaoka, Y. Kitazawa, H. Kojima, Y. Kokeyama, K. Komori, K. Kong, A.K.H. Kotake, K. Kozu, R. Kumar, R. Kuo, H.-S. Kuroyanagi, S. Lee, H.K. Lee, H.M. Lee, H.W. Leonardi, M. Lin, C.-Y. Lin, F.-L. Liu, G.C. Liu, Y. Majorana, E. Mano, S. Marchio, M. Matsui, T. Matsushima, F. Michimura, Y. Mio, N. Miyakawa, O. Miyamoto, A. Miyamoto, T. Miyo, K. Miyoki, S. Morii, W. Morisaki, S. Moriwaki, Y. Morozumi, T. Murakami, I. Musha, M. Nagano, K. Nagano, S. Nakamura, K. Nakamura, T. Nakano, H. Nakano, M. Nakao, K. Namai, Y. Narikawa, T. Naticchioni, L. Nguyen Quynh, L. Ni, W.-T. Nishizawa, A. Obuchi, Y. Ochi, T. Oh, J.J. Oh, S.H. Ohashi, M. Ohishi, N. Ohkawa, M. Okutomi, K. Ono, K. Oohara, K. Ooi, C.P. Pan, S.-S. Park, J. Peña Arellano, F.E. Pinto, I. Sago, N. Saijo, M. Saito, Y. Saitou, S. Sakai, K. Sakai, Y. Sakai, Y. Sasai, M. Sasaki, M. Sasaki, Y. Sato, N. Sato, S. Sato, T. Sekiguchi, Y. Seto, N. Shibata, M. Shimoda, T. Shinkai, H. Shishido, T. Shoda, A. Somiya, K. Son, E.J. Suemasa, A. Suzuki, T. Suzuki, T. Tagoshi, H. Tahara, H. Takahashi, H. Takahashi, R. Takamori, A. Takeda, H. Tanaka, H. Tanaka, K. Mitaka City Tokyo181-8588 Japan Mitaka City Tokyo181-8588 Japan Department of Physics University of Tokyo Bunkyo-ku Tokyo113-0033 Japan University of Tokyo Bunkyo-ku Tokyo113-0033 Japan KAGRA Observatory University of Tokyo Kashiwa CityChiba277-8582 Japan Tsukuba CityIbaraki305-0801 Japan Earthquake Research Institute University of Tokyo Bunkyo-ku Tokyo113-0032 Japan Department of Mathematics and Physics Hirosaki University Hirosaki City Aomori036-8561 Japan Kamioka-cho Hida City Gifu506-1205 Japan Mitaka City Tokyo181-8588 Japan Graduate School of Science and Technology Tokyo Institute of Technology Meguro-ku Tokyo152-8551 Japan KAGRA Observatory University of Tokyo Kamioka-cho Hida City Gifu506-1205 Japan Yuseong-gu Daejeon34141 Korea Republic of Graduate School of Science Osaka University Toyonaka CityOsaka560-0043 Japan Department of Physics National Taiwan Normal University sec. 4 Taipei116 Taiwan Department of Physics Sogang University Mapo-Gu Seoul121-742 Korea Republic of Institute of Physics Academia Sinica Nankang Taipei11529 Taiwan Department of Physics University of Toyama Toyama CityToyama930-8555 Japan Université Savoie Mont Blanc CNRS/IN2P3 AnnecyF-74941 France Department of Astronomy University of Tokyo Bunkyo-ku Tokyo113-0033 Japan Tsukuba CityIbaraki305-0801 Japan Department of Applied Physics Fukuoka University Jonan Fukuoka CityFukuoka814-0180 Japan Faculty of Engineering University of Toyama Toyama CityToyama930-8555 Japan University of Tokyo Kashiwa CityChiba277-8582 Japan Department of Physics National Central University Zhongli District Taoyuan City32001 Taiwan Center for High Energy and High Field Physics Zhongli District Taoyuan City32001 Taiwan Kyoto University Sakyou-ku Kyoto City Kyoto606-8502 Japan Graduate School of Science Osaka City University Sumiyoshi-ku Osaka CityOsaka558-8585 Japan JAXA Institute of Space and Astronautical Sc

KAGRA is a second-generation interferometric gravitational-wave detector with 3-km arms constructed at Kamioka, Gifu in Japan. It is now in its final installation phase, which we call bKAGRA (baseline KAGRA), with scientific observations expected to begin in late 2019. One of the advantages of KAGRA is its underground location of at least 200 m below the ground surface, which brings small seismic motion at low frequencies and high stability of the detector. Another advantage is that it cools down the sapphire test mass mirrors to cryogenic temperatures to reduce thermal noise. In April–May 2018, we have operated a 3-km Michelson interferometer with a cryogenic test mass for 10 days, which was the first time that km-scale interferometer was operated at cryogenic temperatures. In this article, we report the results of this "bKAGRA Phase 1" operation. We have demonstrated the feasibility of 3-km interferometer alignment and control with cryogenic mirrors. Copyright © 2019, The Authors. All rights reserved.

关键词： Mirrors