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Quantum electrodynamical theory of high-efficiency excitation energy transfer in laser-driven nanostructure systems

Physical Review B 2016年第8期94卷 085133-085133页

作者： Dilusha Weeraddana Malin Premaratne Sarath D. Gunapala David L. Andrews Advanced Computing and Simulation Laboratory Department of Electrical and Computer Systems Engineering Monash University Clayton 3800 VIC Australia Jet Propulsion Laboratory California Institute of Technology Pasadena 91109 CA United States School of Chemistry University of East Anglia Norwich Research Park Norwich NR4 7TJ United Kingdom

A fundamental theory is developed for describing laser-driven resonance energy transfer (RET) in dimensionally constrained nanostructures within the framework of quantum electrodynamics. The process of RET communicates electronic excitation between suitably disposed emitter and detector particles in close proximity, activated by the initial excitation of the emitter. Here, we demonstrate that the transfer rate can be significantly increased by propagation of an auxiliary laser beam through a pair of nanostructure particles. This is due to the higher order perturbative contribution to the Förster-type RET, in which laser field is applied to stimulate the energy transfer process. We construct a detailed picture of how excitation energy transfer is affected by an off-resonant radiation field, which includes the derivation of second and fourth order quantum amplitudes. The analysis delivers detailed results for the dependence of the transfer rates on orientational, distance, and laser intensity factor, providing a comprehensive fundamental understanding of laser-driven RET in nanostructures. The results of the derivations demonstrate that the geometry of the system exercises considerable control over the laser-assisted RET mechanism. Thus, under favorable conformational conditions and relative spacing of donor-acceptor nanostructures, the effect of the auxiliary laser beam is shown to produce up to 70% enhancement in the energy migration rate. This degree of control allows optical switching applications to be identified.

关键词： Electromagnetism Excitons Lasers Light-matter interaction Nanostructures

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Research and implementation of CDP disaster recovery system based on oracle

International Journal of Control and Automation

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International Journal of Control and Automation 2015年第11期8卷 325-336页

作者： Ren, Yongjian Ye, Jiaolong Zhang, Jilin Zhou, Li Wang, Jue Zhang, Lei School of Computer Science and Technology Hangzhou Dianzi University Hangzhou China Key Laboratory of Complex Systems Modeling and Simulation Ministry of Education China College of Electrical Engineering Zhejiang University Hangzhou China Supercomputing Center of Computer Network Information Center Chinese Academy of Sciences Beijing China Computer Science Department Beijing University of Civil Engineering and Architecture Beijing China

The OraCDP disaster recovery system uses CDP disaster recovery technology based on the combination of block level, combining with the communication coupling between the underlying I/O and Oracle database. The experimental results show that the OraCDP system can not only maintain the normal operation of the original system without any negative influence, but also guarantee the recovery of data and service at specific time quickly, fully and accurately. © 2015 SERSC.

关键词： Recovery

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Virtual Page Behavior Based Page Management Policy for Hybrid Main Memory in Cloud Computing

Virtual Page Behavior Based Page Management Policy for Hybri...

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International Conference on Mobile Ad-hoc and Sensor Networks, MSN

作者： Jie Huang Xuan Zhang Guangjie Han Gangyong Jia Huizi Liyou Jian Wan Key Laboratory of Complex Systems Modeling and Simulation Ministry of Education Hangzhou China Department of Computer Science and Technology Hangzhou Dianzi University Hangzhou China Department of Information & Communication Systems Hohai University Chanqzhou China School of Information and Electronic Engineering Zhejiang University of Science and Technology Hangzhou

ISBN: (纸本)9781509056972

A new generation memory, Non-Volatile Memory (NVM), such as Phase-Change Memory (PCM), has been adopted together with DRAM in the main memory to form the hybrid main memory for low energy consumption and high capacity. The biggest challenge of hybrid memory is how to decrease the average memory access cost for the higher cost of NVM's read/write operation. Currently, most researches are based on migration. However, the page migration itself is a high cost operation. And the migration based policy produces many migration operations, which induces high cost in memory access. Therefore, in order to decrease the cost, we present a virtual page behavior based page management policy (VBPM) in this paper. According to the virtual pages' behavior, we allocate virtual pages into DRAM or PCM physical pages correspondingly. The whole process is migration independent. The experimental results show our VBPM decreases the average memory access time by 24%, moreover, VBPM improves real-time performance in critical path.

关键词： Phase change materials Random access memory Memory management Algorithm design and analysis Resource management Nonvolatile memory Cloud computing

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Development of a Comprehensive Framework for Video-Based Safety Assessment

Development of a Comprehensive Framework for Video-Based Saf...

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IEEE International Conference on Intelligent Transportation Systems

作者： Kun Xie Chenge Li Kaan Ozbay Gregory Dobler Hong Yang An-Ti Chiang Masoud Ghandehari Department of Civil and Urban Engineering Center for Urban Science and Progress (CUSP) New York University Brooklyn 11201 USA Department of Electrical and Computer Engineering Center for Urban Science and Progress (CUSP) New York University Brooklyn 11201 USA Department of Physics Center for Urban Science and Progress (CUSP) New York University Brooklyn 11201 USA Department of Modeling Simulation and Visualization Engineering Old Dominion University Norfolk Virginia 23529 USA

ISBN: (纸本)9781509018901

In most of the traffic safety studies, both the identification of high-risk locations and the assessment of safety improvement solutions are done through the use of historical crash data. This study proposes an alternative approach that makes use of traffic conflicts extracted from traffic video recordings for safety assessment. State-of-the-art computer vision techniques are used to extract vehicle trajectories automatically from 70 hours of traffic video data at two intersections. More specifically, a modified implementation of the Kanade-Lucas-Tomasi (KLT) feature tracker is used to extract the feature points and track those feature points frame by frame. The spectral embedding and the Dirichlet process Gaussian mixture model (DPGMM) are employed to cluster feature points that belong to the same object. The combination of each vehicle's individual trajectory with all the others' trajectories is then screened to identify all the possible vehicle pairs involved in conflict risk. Traffic conflict risks are identified after the time to collision (TTC) is computed for each vehicle pair. Hourly number of conflicts are found to follow a negative binomial distribution similar to number of crashes. A strong correlation is observed between the traffic conflicts and actual crashes, and thus the validity of using conflict data extracted from videos for safety assessment can be confirmed. The proposed approach has potential transferability and can be implemented by transportation agencies in other cities.

关键词： Vehicles Safety Trajectory Vehicle crash testing Feature extraction Electronic mail computer vision

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The gyrokinetic particle simulation of fusion plasmas on tianhe-2 supercomputer 7

The gyrokinetic particle simulation of fusion plasmas on tia...

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7th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, ScalA 2016

作者： Wang, Endong Wu, Shaohua Zhang, Qing Liu, Jun Zhang, Wenlu Lin, Zhihong Lu, Yutong Du, Yunfei Zhu, Xiaoqian State Key Laboratory of High-end Server and Storage Technology InspurJinan China Institute of Physics Chinese Academy of Science Beijing China Department of Physics and Astronomy University of California IrvineCA United States Fusion Simulation Center Peking University Beijing China School of Computer Science National University of Defense Technology Changsha China National Supercomputer Center in Guangzhou Sun Yat-sen University Guang Zhou China Academy of Ocean Science and Engineering National University of Defense Technology Changsha China

ISBN: (纸本)9781509052226

We present novel optimizations of the fusion plasmas simulation code, GTC on Tianhe-2 supercomputer. The simulation exhibits excellent weak scalability up to 3072 31S1P Xeon Phi co-processors. An unprecedented up to 5.8× performance improvement is achieved for the GTC on Tianhe-2. An efficient particle exchanging algorithm is developed that simplifies the original iterative scheme to a direct implementation, which leads to a 7.9× performance improvement in terms of MPI communications on 1024 nodes of Tianhe-2. A customized particle sorting algorithm is presented that delivers a 2.0× performance improvement on the co-processor for the kernel relating to the particle computing. A smart offload algorithm that minimizes the data exchange between host and co-processor is introduced. Other optimizations like the loop fusion and vectorization are also presented. © 2016 IEEE.

关键词： Scalability

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PennyLane: Automatic differentiation of hybrid quantum-classical computations

arXiv

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arXiv 2018年

作者： Bergholm, Ville Izaac, Josh Schuld, Maria Gogolin, Christian Ahmed, Shahnawaz Ajith, Vishnu Alam, M. Sohaib Alonso-Linaje, Guillermo AkashNarayanan, B. Asadi, Ali Arrazola, Juan Miguel Azad, Utkarsh Banning, Sam Blank, Carsten Bromley, Thomas R. Cordier, Benjamin A. Ceroni, Jack Delgado, Alain Matteo, Olivia Di Dusko, Amintor Garg, Tanya Guala, Diego Hayes, Anthony Hill, Ryan Ijaz, Aroosa Isacsson, Theodor Ittah, David Jahangiri, Soran Jain, Prateek Jiang, Edward Khandelwal, Ankit Kottmann, Korbinian Lang, Robert A. Lee, Christina Loke, Thomas Lowe, Angus McKiernan, Keri Meyer, Johannes Jakob Montañez-Barrera, J.A. Moyard, Romain Niu, Zeyue O’Riordan, Lee James Oud, Steven Panigrahi, Ashish Park, Chae-Yeun Polatajko, Daniel Quesada, Nicolás Roberts, Chase Sá, Nahum Schoch, Isidor Shi, Borun Shu, Shuli Sim, Sukin Singh, Arshpreet Strandberg, Ingrid Soni, Jay Száva, Antal Thabet, Slimane Vargas-Hernández, Rodrigo A. Vincent, Trevor Vitucci, Nicola Weber, Maurice Wierichs, David Wiersema, Roeland Willmann, Moritz Wong, Vincent Zhang, Shaoming Killoran, Nathan Xanadu 777 Bay Street Toronto Canada Wallenberg Centre for Quantum Technology Department of Microtechnology and Nanoscience Chalmers University of Technology Gothenburg412 96 Sweden Indian Institute of Information Technology Kottayam India NASA Ames Research Center Moffett FieldCA94035 United States Mountain ViewCA94043 United States data cybernetics Martin-Kolmsperger-Str 26 Landsberg86899 Germany Department of Medical Informatics and Clinical Epidemiology Oregon Health and Science University PortlandOR97202 United States Dept. of Electrical and Computer Engineering The University of British Columbia VancouverBCV6T 1Z4 Canada Department of Physics Indian Institute of Technology Roorkee Uttarakhand Roorkee India qBraid 5235 South Harper Court ChicagoIL60615 United States Factal Analytics Level 2 Chimes Building Plot 61 Sector - 44 Haryana Gurgaon122003 India Centre for High Energy Physics Indian Institute of Science Karnataka Bengaluru560012 India ICFO - Institut de Ciencies Fotoniques The Barcelona Institute of Science and Technology Av. Carl Friedrich Gauss 3 Castelldefels Barcelona08860 Spain Chemical Physics Theory Group Department of Chemistry University of Toronto Canada DUG Technology 76 Kings Park Rd West PerthWA6005 Australia Rigetti Computing 2919 Seventh Street BerkeleyCA94710 United States Dahlem Center for Complex Quantum Systems Freie Universität Berlin Berlin14195 Germany Institute for Advanced Simulation Jülich Supercomputing Centre Forschungszentrum Jülich Jülich52425 Germany University of Amsterdam Netherlands School of Physical Sciences National Institute of Science Education and Research HBNI Odisha Jatni752 050 India Cervest United Kingdom Centro Brasileiro de Pesquisas Físicas Rua Dr. Xavier Sigaud 150 Rio de Janeiro22290-180 Brazil Zurich8092 Switzerland Neo4j UK Ltd United Kingdom Zapata Computing Inc. United States ITC Infotech Bangalore India Department of Microtechnology and Nanoscienc

PennyLane is a Python 3 software framework for differentiable programming of quantum computers. The library provides a unified architecture for near-term quantum computing devices, supporting both qubit and continuous-variable paradigms. PennyLane’s core feature is the ability to compute gradients of variational quantum circuits in a way that is compatible with classical techniques such as backpropagation. PennyLane thus extends the automatic differentiation algorithms common in optimization and machine learning to include quantum and hybrid computations. A plugin system makes the framework compatible with any gate-based quantum simulator or hardware. We provide plugins for hardware providers including the Xanadu Cloud, Amazon Braket, and IBM Quantum, allowing PennyLane optimizations to be run on publicly accessible quantum devices. On the classical front, PennyLane interfaces with accelerated machine learning libraries such as TensorFlow, PyTorch, JAX, and Autograd. PennyLane can be used for the optimization of variational quantum eigensolvers, quantum approximate optimization, quantum machine learning models, and many other applications. Copyright © 2018, The Authors. All rights reserved.

关键词： Machine learning

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3D magnetic devices analysis using facet FEM formulation coupled with reluctance network method

3D magnetic devices analysis using facet FEM formulation cou...

引用

IEEE Conference on Electromagnetic Field Computation

作者： Anderson S. Nunes Olivier Chadebec Patrick Kuo-Peng Patrick Dular Gérard Meunier Engineering Simulation & Scientific Software (ESSS) Florianópolis CEP Brazil GRUCAD/EEL/CTC Universidade Federal de Santa Catarina Florianópolis SC Brazil Univ. Grenoble Alpes G2Elab Grenoble France CNRS G2Elab Grenoble France Department of Electrical Engineering and Computer Science University of Liege Liège ACE Belgium

A 3D Finite Element Method (FEM) mesh is converted to a reluctance network through an original magnetostatic formulation based on face shape functions interpolation of the induction. This network is coupled with a sta... 详细信息

ISBN: (纸本)9781509010332

关键词： Magnetic domains Magnetostatics Magnetic circuits Finite element analysis Three-dimensional displays Face Shape

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KAGRA: 2.5 Generation Interferometric Gravitational Wave Detector

arXiv

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arXiv 2018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. 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. Musha, M. Nagano, K. Nagano, S. Nakamura, K. Nakamura, T. Nakano, H. Nakano, M. Nakao, K. Narikawa, T. Naticchioni, L. Quynh, L. Nguyen Ni, W.-T. Nishizawa, A. 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. Arellano, F.E. Peña Pinto, I. Sago, N. Saijo, M. Saito, Y. Sakai, K. Sakai, Y. Sakai, Y. Sasai, M. Sasaki, M. Sasaki, Y. 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. Tanaka, T. Tanioka, S. Martin, E.N. Tapia San Tatsumi, D. Tomaru, T. 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-kuTokyo152-8551 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 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 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 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 Science Chuo-ku Sagamihara City Kanagawa252-0222 Japan University of Tokyo Kashiwa CityChiba277-8582 Japan Department of Physics Ewha Womans University Seodaemun-gu Seoul03760 Department of Physics Myongji University Yongi

The recent detections of gravitational waves[1, 2, 3, 4, 5, 6] (GWs) reported by LIGO[7]/Virgo[8] collaborations have made significant impact on physics and astronomy. A global network of GW detectors will play a key role to solve the unknown nature of the sources in coordinated observations with astronomical telescopes and detectors. Here we introduce KAGRA (former name LCGT;Large-scale Cryogenic Gravitational wave Telescope), a new GW detector with two 3-km baseline arms arranged in the shape of an L, located inside the Mt. Ikenoyama, Kamioka, Gifu, Japan. KAGRA’s design is similar to those of the second generations such as Advanced LIGO/Virgo, but it will be operating at the cryogenic temperature with sapphire mirrors. This low temperature feature is advantageous for improving the sensitivity around 100 Hz and is considered as an important feature for the third generation GW detector concept (e.g. Einstein Telescope[9] of Europe or Cosmic Explorer[10] of USA). Hence, KAGRA is often called as a 2.5 generation GW detector based on laser interferometry. The installation and commissioning of KAGRA is underway and its cryogenic systems have been successfully tested in May, 2018. KAGRA’s first observation run is scheduled in late 2019, aiming to join the third observation run (O3) of the advanced LIGO/Virgo network. In this work, we describe a brief history of KAGRA and highlights of main feature. We also discuss the prospects of GW observation with KAGRA in the era of O3. When operating along with the existing GW detectors, KAGRA will be helpful to locate a GW source more accurately and to determine the source parameters with higher precision, providing information for follow-up observations of a GW trigger candidate. Copyright © 2018, The Authors. All rights reserved.

关键词： Gravitational effects

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Designing the model patient: Data-driven virtual patients in medical education

Designing the model patient: Data-driven virtual patients in...

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IEEE International Conference on Serious Games and Applications for Health (SeGAH)

作者： Dmitriy Babichenko Marek J. Druzdzel Lorin Grieve Ravi Patel Jonathan Velez Taylor Neal James McCray Rae-Djamaal Wallace Sean Jenkins School of Information Sciences University of Pittsburgh Pittsburgh PA USA Department of Computer Science University of Bialystok Bialystok Poland School of Pharmacy University of Pittsburgh Pittsburgh PA USA Institute for Simulation and Training University of Central Florida Orlando FL USA School of Social Sciences Rice University Houston TX USA College of Engineering Virginia Tech Blacksburg VA USA College of Engineering Tennessee State University Nashville TN USA

ISBN: (纸本)9781509022113

In this paper we describe ModelPatient, a software application developed to allow health sciences educators to create and deliver educational cases that are based on and simulate real patient behavior. ModelPatient uses data from Electronic Medical Record Systems (EMRS) or from publically available medical data sets in combination with Bayesian network (BN) models to generate virtual patient (VP) cases. Because the underlying models are based on real data, each decision made by a learner affects outcome probabilities. Therefore the behavior of a VP reflects how a real patient with the same medical condition would have reacted to the learners' actions. We believe that data- and model-driven approaches to creating VPs would allow educators to create higher-fidelity teaching cases and offer richer educational experience to learners.

关键词： Data models Medical services Games Brain modeling Predictive models Training

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The status of KAGRA underground cryogenic gravitational wave telescope

arXiv

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arXiv 2017年

作者： Akutsu, T. Ando, M. Araya, A. Aritomi, N. Asada, H. Aso, Y. Atsuta, S. Awai, K. Barton, M.A. Cannon, K. Craig, K. Creus, W. Doi, K. Eda, K. Enomoto, Y. Flaminio, R. Fujii, Y. Fujimoto, M.-K. Furuhata, T. Haino, S. Hasegawa, K. Hashino, K. Hayama, K. Hirobayashi, S. Hirose, E. Hsieh, B.H. Inoue, Y. Ioka, K. Itoh, Y. Kaji, T. Kajita, T. Kakizaki, M. Kamiizumi, M. Kambara, S. Kanda, N. Kanemura, S. Kaneyama, M. Kang, G. Kasuya, J. Kataoka, Y. Kawai, N. Kawamura, S. Kim, C. Kim, H. Kim, J. Kim, Y. Kimura, N. Kinugawa, T. Kirii, S. Kitaoka, Y. Kojima, Y. Kokeyama, K. Komori, K. Kotake, K. Kumar, R. Lee, H. Lee, H. Liu, Y. Luca, N. Majorana, E. Mano, S. Marchio, M. Matsui, T. Matsushima, F. Michimura, Y. Miyakawa, O. Miyamoto, T. Miyamoto, A. Miyo, K. Miyoki, S. Morii, W. Morisaki, S. Moriwaki, Y. Morozumi, T. Musha, M. Nagano, S. Nagano, K. Nakamura, K. Nakamura, T. Nakano, H. Nakano, M. Nakao, K. Narikawa, T. Nguyen Quynh, L. Ni, W.-T. Ochi, T. Oh, J. Oh, S. Ohashi, M. Ohishi, N. Ohkawa, M. Okutomi, K. Oohara, K. Peña Alleano, F.E. Pinto, I. Sago, N. Saijo, M. Saito, Y. Sakai, K. Sakai, Y. Sasaki, Y. Sasaki, M. Sato, S. Sato, T. Sekiguchi, Y. Seto, N. Shibata, M. Shimoda, T. Shinkai, H. Shoda, A. Somiya, K. Son, E. Suemasa, A. Suzuki, T. Suzuki, T. Tagoshi, H. Takahashi, H. Takahashi, R. Takamori, A. Takeda, H. Tanaka, H. Tanaka, K. Tanaka, T. Tatsumi, D. Tomaru, T. Tomura, T. Travasso, F. Tsubono, K. Tsuchida, S. Uchikata, N. Uchiyama, T. Uehara, T. Ueki, S. Ueno, K. Ushiba, T. van Putten, M.H.P.M. Vocca, H. Wada, S. Wakamatsu, T. Yamada, T. Yamamoto, S. Yamamoto, T. Yamamoto, K. Yamamoto, A. Yokoyama, J. Yokozawa, T. Yoon, T.H. Yuzurihara, H. Zeidler, S. Zhu, Z.-H. National Astronomical Observatory of Japan Mitaka Tokyo181-8588 Japan Department of Physics University of Tokyo Bunkyo Tokyo113-0033 Japan Earthquake Research Institute University of Tokyo Bunkyo Tokyo113-0032 Japan Department of Advanced Physics Hirosaki University Hirosaki Aomori036-8561 Japan National Astronomical Observatory of Japan Hida Gifu506-1205 Japan Department of Physics Tokyo Institute of Technology Meguro Tokyo152-8551 Japan Institute for Cosmic Ray Research University of Tokyo Hida Gifu506-1205 Japan Research Center for the Early Universe University of Tokyo Bunkyo Tokyo113-0033 Japan Institute for Cosmic Ray Research University of Tokyo Kashiwa Chiba277-8582 Japan Institute of Physics Academia Sinica Nankang Taipei11529 Taiwan Department of Physics University of Toyama Toyama Toyama930-8555 Japan Faculty of Engineering University of Toyama Toyama Toyama930-8555 Japan Yukawa Institute for Theoretical Physics Kyoto University Sakyo Kyoto606-8502 Japan Department of Physics Osaka City University Sumiyosi Osaka558-8585 Japan Department of Physics Osaka University Toyonaka Osaka560-0043 Japan Korea Institute of Science and Technology Information Yuseong Daejeon34141 Korea Republic of Daejeon Yuseong34055 Korea Republic of National Institute for Mathematical Sciences Daejeon34047 Korea Republic of Department of Computer Simulation Inje University Gimhae Gyeongsangnam50834 Korea Republic of Department of Physics and Astronomy Seoul National University Seoul151-742 Korea Republic of High Energy Accelerator Research Organization Tsukuba Ibaraki305-0801 Japan Department of Physical Science Hiroshima University Higashihiroshima Hiroshima903-0213 Japan Department of Applied Physics Fukuoka University Jonan Fukuoka814-0180 Japan Department of Advanced Materials Science University of Tokyo Kashiwa Chiba277-8582 Japan Istituto Nazionale di Fisica Nucleare Sapienza University Roma00185 Italy D

KAGRA is a 3-km interferometric gravitational wave telescope located in the Kamioka mine in Japan. It is the first km-class gravitational wave telescope constructed underground to reduce seismic noise, and the first km-class telescope to use cryogenic cooling of test masses to reduce thermal noise. The construction of the infrastructure to house the interferometer in the tunnel, and the initial phase operation of the interferometer with a simple 3-km Michelson configuration have been completed. The first cryogenic operation is expected in 2018, and the observing runs with a full interferometer are expected in 2020s. The basic interferometer configuration and the current status of KAGRA are described. Copyright © 2017, The Authors. All rights reserved.

关键词： Interferometers

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