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arXiv 2023年

作者： Goedhart, S. Cotton, W.D. Camilo, F. Thompson, M.A. Umana, G. Bietenholz, M. Woudt, P.A. Anderson, L.D. Bordiu, C. Buckley, D.A.H. Buemi, C.S. Bufano, F. Cavallaro, F. Chen, H. Chibueze, J.O. Egbo, D. Frank, B.S. Hoare, M.G. Ingallinera, A. Irabor, T. Kraan-Korteweg, R.C. Kurapati, S. Leto, P. Loru, S. Mutale, M. Obonyo, W.O. Plavin, A. Rajohnson, S.H.A. Rigby, A. Riggi, S. Seidu, M. Serra, P. Smart, B.M. Stappers, B.W. Steyn, N. Surnis, M. Trigilio, C. Williams, G.M. Abbott, T.D. Adam, R.M. Asad, K.M.B. Baloyi, T. Bauermeister, E.F. Bennet, T.G.H. Bester, H. Botha, A.G. Brederode, L.R.S. Buchner, S. Burger, J.P. Cheetham, T. Cloete, K. de Villiers, M.S. de Villiers, D.I.L. du Toit, L.J. Esterhuyse, S.W.P. Fanaroff, B.L. Fourie, D.J. Gamatham, R.R.G. Gatsi, T.G. Geyer, M. Gouws, M. Gumede, S.C. Heywood, I. Hokwana, A. Hoosen, S.W. Horn, D.M. Horrell, L.M.G. Hugo, B.V. Isaacson, A.I. Józsa, G.I.G. Jonas, J.L. Jordaan, J.D.B.L. Joubert, A.F. Julie, R.P.M. Kapp, F.B. Kriek, N. Kriel, H. Krishnan, V.K. Kusel, T.W. Legodi, L.S. Lehmensiek, R. Lord, R.T. Macfarlane, P.S. Magnus, L.G. Magozore, C. Main, J.P.L. Malan, J.A. Manley, J.R. Marais, S.J. Maree, M.D.J. Martens, A. Maruping, P. McAlpine, K. Merry, B.C. Mgodeli, M. Millenaar, R.P. Mokone, O.J. Monama, T.E. New, W.S. Ngcebetsha, B. Ngoasheng, K.J. Nicolson, G.D. Ockards, M.T. Oozeer, N. Passmoor, S.S. Patel, A.A. Peens-Hough, A. Perkins, S.J. Ramaila, A.J.T. Ratcliffe, S.M. Renil, R. Richter, L.L. Salie, S. Sambu, N. Schollar, C.T.G. Schwardt, L.C. Schwartz, R.L. Serylak, M. Siebrits, R. Sirothia, S.K. Slabber, M.J. Smirnov, O.M. Tiplady, A.J. van Balla, T.J. van der Byl, A. Van Tonder, V. Venter, A.J. Venter, M. Welz, M.G. Williams, L.P. South African Radio Astronomy Observatory 2 Fir Street Observatory7925 South Africa SKA Observatory 2 Fir Street Observatory7925 South Africa National Radio Astronomy Observatory 520 Edgemont Road CharlottesvilleVA22903 United States School of Physics and Astronomy University of Leeds LeedsLS2 9JT United Kingdom INAF – Osservatorio Astrofisico di Catania Via S. Sofia 78 CataniaI-95123 Italy SARAO Hartebeesthoek Radio Astronomy Observatory PO Box 443 Krugersdorp1740 South Africa Department of Physics and Astronomy York University TorontoONM3J 1P3 Canada Department of Astronomy University of Cape Town Private Bag X3 Rondebosch7701 South Africa Department of Physics and Astronomy West Virginia University MorgantownWV26506 United States Adjunct Astronomer at the Green Bank Observatory P.O. Box 2 Green Bank WV24944 United States Center for Gravitational Waves and Cosmology West Virginia University Chestnut Ridge Research Building MorgantownWV26505 United States South African Astronomical Observatory PO Box 9 Observatory Cape Town7935 South Africa Department of Physics University of the Free State PO Box 339 Bloemfontein9300 South Africa Research Center for Intelligent Computing Platforms Zhejiang Laboratory Hangzhou311100 China Department of Mathematical Sciences University of South Africa Cnr Christian de Wet Rd and Pioneer Avenue Florida Park Roodepoort1709 South Africa Centre for Space Research Physics Department North-West University Potchefstroom2520 South Africa Department of Physics and Astronomy Faculty of Physical Sciences University of Nigeria Carver Building 1 University Road Nsukka410001 Nigeria University of Cape Town Private Bag X3 Rondebosch7701 South Africa UK Astronomy Technology Centre Royal Observatory Edinburgh Blackford Hill EdinburghEH9 3HJ United Kingdom Department of Astronomy and Space Science Technical University of Kenya Nairobi Kenya Astro Space Center of Lebedev Physical Institute Profsouzna

We present the SARAO MeerKAT Galactic Plane Survey (SMGPS), a 1.3 GHz continuum survey of almost half of the Galactic Plane (251◦ ≤ l ≤ 358◦ and 2◦ ≤ l ≤ 61◦ at |b| ≤ 1◦. 5). SMGPS is the largest, most sensitive and highest angular resolution 1 GHz survey of the Plane yet carried out, with an angular resolution of 8′′ and a broadband RMS sensitivity of ∼10–20 μJy beam−1. Here we describe the first publicly available data release from SMGPS which comprises data cubes of frequency-resolved images over 908–1656 MHz, power law fits to the images, and broadband zeroth moment integrated intensity images. A thorough assessment of the data quality and guidance for future usage of the data products are given. Finally, we discuss the tremendous potential of SMGPS by showcasing highlights of the Galactic and extragalactic science that it permits. These highlights include the discovery of a new population of non-thermal radio filaments;identification of new candidate supernova remnants, pulsar wind nebulae and planetary nebulae;improved radio/mid-IR classification of rare Luminous Blue Variables and discovery of associated extended radio nebulae;new radio stars identified by Bayesian cross-matching techniques;the realisation that many of the largest radio-quiet WISE Hii region candidates are not true Hii regions;and a large sample of previously undiscovered background Hi galaxies in the Zone of Avoidance. Copyright © 2023, The Authors. All rights reserved.

关键词： Galaxies

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Stability Analysis for Memristive Recurrent Neural Network Under Different External Stimulus

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Neural Processing Letters 2017年第2期47卷 601-618页

作者： Gang Bao Zhigang Zeng Hubei Key Laboratory of Cascaded Hydropower Stations Operation and Control China Three Gorges University Yichang China School of Automation Huazhong University of Science and Technology Wuhan China Key Laboratory of Image Information Processing and Intelligent Control of Education Ministry of China Wuhan China

Memristor is the fourth missing element. This paper discusses dynmacis memristive recurrent neural network with memristors as synapses. Firstly, it analyzes variation property of memristance under different external inputs with memristor simulation model. It concludes that memristance will be stable at one value if the direction of voltage is not changed and be varying periodically under periodically variable voltage. Next, it presents the memristive recurrent neural network model and gives local attractive region, one sufficient condition for memristive recurrent neural network under periodic voltage source. At last, an illustrative example is given for verifying our result.

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Satellite-relayed intercontinental quantum network

arXiv

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arXiv 2018年

作者： Liao, Sheng-Kai Cai, Wen-Qi Handsteiner, Johannes Liu, Bo Yin, Juan Zhang, Liang Rauch, Dominik Fink, Matthias Ren, Ji-Gang Liu, Wei-Yue Li, Yang Shen, Qi Cao, Yuan Li, Feng-Zhi Wang, Jian-Feng Huang, Yong-Mei Deng, Lei Xi, Tao Ma, Lu Hu, Tai Li, Li Liu, Nai-Le Koidl, Franz Wang, Peiyuan Chen, Yu-Ao Wang, Xiang-Bin Steindorfer, Michael Kirchner, Georg Lu, Chao-Yang Shu, Rong Ursin, Rupert Scheidl, Thomas Peng, Cheng-Zhi Wang, Jian-Yu Zeilinger, Anton Pan, Jian-Wei Hefei National Laboratory for Physical Sciences at the Microscale and Department of Modern Physics University of Science and Technology of China Hefei230026 China Center for Excellence Synergetic Innovation Center in Quantum Information and Quantum Physics University of Science and Technology of China Shanghai201315 China Vienna Center for Quantum Science and Technology Faculty of Physics University of Vienna Vienna1090 Austria Institute for Quantum Optics and Quantum Information Austrian Academy of Sciences Vienna1090 Austria School of Computer National University of Defense Technology Changsha410073 China Key Laboratory of Space Active Opto-Electronic Technology Shanghai Institute of Technical Physics Chinese Academy of Sciences Shanghai200083 China National Astronomical Observatories Chinese Academy of Sciences Beijing100012 China Key Laboratory of Optical Engineering Institute of Optics and Electronics Chinese Academy of Sciences Chengdu610209 Shanghai Engineering Center for Microsatellites Shanghai201203 China State Key Laboratory of Astronautic Dynamics Xi'an Satellite Control Center Xi’an710061 China Xinjiang Astronomical Observatory Chinese Academy of Sciences Urumqi830011 China National Space Science Center Chinese Academy of Sciences Beijing100080 China Space Research Institute Austrian Academy of Sciences Graz8042 Austria

We perform decoy-state quantum key distribution between a low-Earth-orbit satellite and multiple ground stations located in Xinglong, Nanshan, and Graz, which establish satellite-to-ground secure keys with ~kHz rate per passage of the satellite Micius over a ground station. The satellite thus establishes a secure key between itself and, say, Xinglong, and another key between itself and, say, Graz. Then, upon request from the ground command, Micius acts as a trusted relay. It performs bitwise exclusive OR operations between the two keys and relays the result to one of the ground stations. That way, a secret key is created between China and Europe at locations separated by 7600 km on Earth. These keys are then used for intercontinental quantum-secured communication. This was on the one hand the transmission of images in a one-time pad configuration from China to Austria as well as from Austria to China. Also, a videoconference was performed between the Austrian Academy of sciences and the Chinese Academy of sciences, which also included a 280 km optical ground connection between Xinglong and Beijing. Our work points towards an efficient solution for an ultra-long-distance global quantum network, laying the groundwork for a future quantum internet. Copyright © 2018, The Authors. All rights reserved.

关键词： Satellites

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On the nonexistence of event-based triggers that preserve Gaussian state in presence of package-drop

On the nonexistence of event-based triggers that preserve Ga...

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American control Conference

作者： Enoch Kung Junfeng Wu Dawei Shi Ling Shi Electronic and Computer Engineering Hong Kong University of Science and Technology Department of Automatic Control The Royal Institute of Technology (KTH) State Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology

ISBN: (纸本)9781509045839

State estimation is a core objective in cyber-physical systems. In the state estimation problem over linear systems, the Kalman filter is the standard solution. The filter is the format on which the solutions to subsequent estimation problems are based. Among these problems are the estimation problem in the presence of packet drops and estimation problem involving event-based triggers. We study in this paper both phenomena simultaneously. In an attempt to find the Kalman-like filter, which proves the Gaussianity of the state and offers a set of update equations, our paper shows that no such filter exists. More precisely, one cannot find an event-based trigger such that under possible packet drops, the state variable remains a Gaussian variable. This conclusion can be reasonably extended to a more general setting.

关键词： State estimation Packet drops Event-based triggers State estimation Event-based Filters State variable TRIGGERS Gauss

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Using deep learning to recognize biomedical entities

Using deep learning to recognize biomedical entities

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International Conference on intelligent System and Knowledge Engineering, ISKE

作者： Xuemin Yang Zhifei Zhang Ronggen Yang Daoyu Huang Geng Yang Lejun Gong Jiangsu Key Laboratory of Big Data Security &Intelligent Processing Nanjing University of Posts and Telecommunications Nanjing China Faculty Intelligent Science and Control Engineering Jinling Institute of Technology Nanjing China

With the rapid growth of the high-throughput biological technology, it brings biomedical big omics' data containing literature and annotated data. Especially, a wealth of relevant information exists in various types of biomedical literature. Text mining has emerged as a potential solution to achieve knowledge for bridging between the free text and structured representation of biomedical information. In this work, we used deep learning to recognize biomedical entities. We obtained 84.0% precision, 69.5% recall, and 76.1% F-score aiming at the GENIA corpus, and obtained 91.3% precision, 91.1% recall, and 91.2% F-score aiming at the BioCreAtIvE II Gene Mention corpus. Experimental results show that our proposed approach is promising for developing biomedical text mining technology in biomedical entity recognition.

关键词： Machine learning Neural networks Text mining Dictionaries Distributed databases Biological system modeling Telecommunications

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Open Data from the Third Observing Run of LIGO, Virgo, KAGRA, and GEO

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Astrophysical Journal, Supplement Series 2023年第2期267卷 29-29页

作者： Abbott, R. Abe, H. Acernese, F. Ackley, K. Adhicary, S. Adhikari, N. Adhikari, R.X. Adkins, V.K. Adya, V.B. Affeldt, C. Agarwal, D. Agathos, M. Aguiar, O.D. Aiello, L. Ain, A. Ajith, P. Akutsu, T. Albanesi, S. Alfaidi, R.A. Al-Jodah, A. Alléné, C. Allocca, A. Almualla, M. Altin, P.A. Amato, A. Amez-Droz, L. Amorosi, A. Anand, S. Ananyeva, A. Andersen, R. Anderson, S.B. Anderson, W.G. Andia, M. Ando, M. Andrade, T. Andres, N. Andrés-Carcasona, M. Andrić, T. Ansoldi, S. Antelis, J.M. Antier, S. Aoumi, M. Apostolatos, T. Appavuravther, E.Z. Appert, S. Apple, S.K. Arai, K. Araya, A. Araya, M.C. Areeda, J.S. Arène, M. Aritomi, N. Arnaud, N. Arogeti, M. Aronson, S.M. Arun, K.G. Asada, H. Ashton, G. Aso, Y. Assiduo, M. Assis de Souza Melo, S. Aston, S.M. Astone, P. Aubin, F. AultONeal, K. Babak, S. Badalyan, A. Badaracco, F. Badger, C. Bae, S. Bagnasco, S. Bai, Y. Baier, J.G. Baiotti, L. Baird, J. Bajpai, R. Baka, T. Ball, M. Ballardin, G. Ballmer, S.W. Baltus, G. Banagiri, S. Banerjee, B. Bankar, D. Baral, P. Barayoga, J.C. Barber, J. Barish, B.C. Barker, D. Barneo, P. Barone, F. Barr, B. Barsotti, L. Barsuglia, M. Barta, D. Barthelmy, S.D. Barton, M.A. Bartos, I. Basak, S. Basalaev, A. Bassiri, R. Basti, A. Bawaj, M. Bayley, J.C. Baylor, A.C. Bazzan, M. Bécsy, B. Bedakihale, V.M. Beirnaert, F. Bejger, M. Bell, A.S. Benedetto, V. Beniwal, D. Benoit, W. Bentley, J.D. Ben Yaala, M. Bera, S. Berbel, M. Bergamin, F. Berger, B.K. Bernuzzi, S. Beroiz, M. Berry, C.P.L. Bersanetti, D. Bertolini, A. Betzwieser, J. Beveridge, D. Bevins, N. Bhandare, R. Bhandari, A.V. Bhardwaj, U. Bhatt, R. Bhattacharjee, D. Bhaumik, S. Bianchi, A. Bilenko, I.A. Bilicki, M. Billingsley, G. Bini, S. Birnholtz, O. Biscans, S. Bischi, M. Biscoveanu, S. Bisht, A. Biswas, B. Bitossi, M. Bizouard, M.-A. Blackburn, J.K. Blair, C.D. Blair, D.G. Blair, R.M. Bobba, F. Bode, N. Boër, M. Bogaert, G. Boileau, G. Boldrini, M. Bolingbroke, G.N. Bonavena, L.D. Bondarescu, R. Bondu, F. Bonilla, E. Bonilla, G.S. Bonnand, R. Booker, P. Bork, R. Boschi, V. Bose, N. LIGO Laboratory California Institute of Technology Pasadena 91125 CA United States Graduate School of Science Tokyo Institute of Technology 2-12-1 Ookayama Meguro-ku Tokyo 152-8551 Japan Dipartimento di Farmacia Università di Salerno Salerno Fisciano I-84084 Italy INFN Sezione di Napoli Napoli I-80126 Italy OzGrav School of Physics & Astronomy Monash University Clayton 3800 VIC Australia The Pennsylvania State University University Park 16802 PA United States University of Wisconsin-Milwaukee Milwaukee 53201 WI United States Louisiana State University Baton Rouge 70803 LA United States OzGrav Australian National University Canberra 0200 ACT Australia Max Planck Institute for Gravitational Physics (Albert Einstein Institute) Hannover D-30167 Germany Leibniz Universität Hannover Hannover D-30167 Germany Inter-University Centre for Astronomy and Astrophysics Pune 411007 India University of Cambridge Cambridge CB2 1TN United Kingdom Instituto Nacional de Pesquisas Espaciais São Paulo São José dos Campos 12227-010 Brazil Cardiff University Cardiff CF24 3AA United Kingdom INFN Sezione di Pisa Pisa I-56127 Italy International Centre for Theoretical Sciences Tata Institute of Fundamental Research Bengaluru 560089 India Gravitational Wave Science Project National Astronomical Observatory of Japan 2-21-1 Osawa Mitaka City Tokyo 181-8588 Japan Advanced Technology Center National Astronomical Observatory of Japan 2-21-1 Osawa Mitaka City Tokyo 181-8588 Japan Dipartimento di Fisica Università degli Studi di Torino Torino I-10125 Italy INFN Sezione di Torino Torino I-10125 Italy SUPA University of Glasgow Glasgow G12 8QQ United Kingdom OzGrav University of Western Australia Crawley 6009 WA Australia Univ. Savoie Mont Blanc CNRS Laboratoire d'Annecy de Physique des Particules - IN2P3 Annecy F-74000 France Università di Napoli “Federico II” Napoli I-80126 Italy University of Minnesota Minneapolis 55455 MN United States M

The global network of gravitational-wave observatories now includes five detectors, namely LIGO Hanford, LIGO Livingston, Virgo, KAGRA, and GEO 600. These detectors collected data during their third observing run, O3, composed of three phases: O3a starting in 2019 April and lasting six months, O3b starting in 2019 November and lasting five months, and O3GK starting in 2020 April and lasting two weeks. In this paper we describe these data and various other science products that can be freely accessed through the Gravitational Wave Open science Center at https://***. The main data set, consisting of the gravitational-wave strain time series that contains the astrophysical signals, is released together with supporting data useful for their analysis and documentation, tutorials, as well as analysis software packages. © 2023. The Author(s). Published by the American Astronomical Society.

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Finite-Horizon H∞ control for Discrete Time-Varying Nonlinear Systems Under Earliest Deadline First Schedule

Finite-Horizon H∞ Control for Discrete Time-Varying Nonline...

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第36届中国控制会议

作者： Yuxuan Shen Zidong Wang Bo Shen Hongli Dong School of Information Science and Technology Donghua University Department of Computer Science Brunel University London Institute of Complex Systems and Advanced Control Northeast Petroleum University Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control

This paper is concerned with the finite-horizon H quantized control problem for a class of discrete time-varying nonlinear networked control systems with earliest deadline first(EDF) *** schedule is employed in the channels both from sensor to controller and controller to ***,the measurement output signal and control signal are quantized by a logarithmic quantizer before they enter the controller and system,*** main purpose of the problem addressed is to design a dynamical output-feedback controller such that the prespecified H performance of the system is guaranteed over a given finite *** this end,a sufficient condition is firstly established for the existence of the desired output-feedback ***,the controller parameters are characterized by solving a recursive linear matrix ***,a numerical example is given to illustrate the effectiveness of the proposed control approach.

关键词： Discrete time-varying systems earliest deadline first schedule finite-horizon H∞ control networked control systems quantized control

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Characteristic model-based H2/H∞ robust adaptive control during the re-entry of hypersonic cruise vehicles

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science China(Information sciences) 2015年第1期58卷 201-221页

作者： HUANG Huang ZHANG Zhao Beijing Institute of Control Engineering Science and Technology on Space Intelligent Control Laboratory

This paper aims at introducing H2 and H∞robustness into the well-known characteristic modelbased golden-section adaptive control law, and applying the robust adaptive control scheme to the attitude control of hypersonic cruise vehicles that are subject to external disturbances and aerodynamic coefficients uncertainties. When maneuvering at ultra high speeds, the attitude system of the hypersonic cruise vehicle is extremely sensitive to external disturbances and aerodynamic coefficients variations, and therefore the adaptiveness and the robustness of the attitude system are crucial during the controller design. To enhance the robustness of the existing golden-section adaptive control law, a golden-section robust adaptive control law is proposed. Compared to the existing control law where the design of the parameter λ depends on experience and is carried out offline, linear matrix inequality-based synthesis of λ is proposed such that the closed-loop system is stable with guaranteed H2 and H∞performance. It is suitable for online computing and provides a time-varyingλ(k) that is adjusted towards the optimal H2 and H∞performance. When being applied to the attitude control of hypersonic vehicles during re-entry, the adaptive nature of the proposed control law provides the attitude system the capability to accommodate large flight conditions, and its H2 and H∞robustness brought by λ(k)guarantees satisfying tracking performance in the presence of disturbances including both external disturbance and absolute aerodynamic coefficients errors.

关键词： golden-section adaptive control characteristic model H2 and H∞analysis hypersonic vehicle attitude control

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Search for anisotropic gravitational-wave backgrounds using data from Advanced LIGO and Advanced Virgo’s first three observing runs

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Physical Review D 2021年第2期104卷 022005-022005页

作者： R. Abbott T. D. Abbott S. Abraham F. Acernese K. Ackley A. Adams C. Adams R. X. Adhikari V. B. Adya C. Affeldt D. Agarwal M. Agathos K. Agatsuma N. Aggarwal O. D. Aguiar L. Aiello A. Ain P. Ajith T. Akutsu K. M. Aleman G. Allen A. Allocca P. A. Altin A. Amato S. Anand A. Ananyeva S. B. Anderson W. G. Anderson M. Ando S. V. Angelova S. Ansoldi J. M. Antelis S. Antier S. Appert Koya Arai Koji Arai Y. Arai S. Araki A. Araya M. C. Araya J. S. Areeda M. Arène N. Aritomi N. Arnaud S. M. Aronson H. Asada Y. Asali G. Ashton Y. Aso S. M. Aston P. Astone F. Aubin P. Aufmuth K. AultONeal C. Austin S. Babak F. Badaracco M. K. M. Bader S. Bae Y. Bae A. M. Baer S. Bagnasco Y. Bai L. Baiotti J. Baird R. Bajpai M. Ball G. Ballardin S. W. Ballmer M. Bals A. Balsamo G. Baltus S. Banagiri D. Bankar R. S. Bankar J. C. Barayoga C. Barbieri B. C. Barish D. Barker P. Barneo F. Barone B. Barr L. Barsotti M. Barsuglia D. Barta J. Bartlett M. A. Barton I. Bartos R. Bassiri A. Basti M. Bawaj J. C. Bayley A. C. Baylor M. Bazzan B. Bécsy V. M. Bedakihale M. Bejger I. Belahcene V. Benedetto D. Beniwal M. G. Benjamin T. F. Bennett J. D. Bentley M. BenYaala F. Bergamin B. K. Berger S. Bernuzzi D. Bersanetti A. Bertolini J. Betzwieser R. Bhandare A. V. Bhandari D. Bhattacharjee S. Bhaumik J. Bidler I. A. Bilenko G. Billingsley R. Birney O. Birnholtz S. Biscans M. Bischi S. Biscoveanu A. Bisht B. Biswas M. Bitossi M.-A. Bizouard J. K. Blackburn J. Blackman C. D. Blair D. G. Blair R. M. Blair F. Bobba N. Bode M. Boer G. Bogaert M. Boldrini F. Bondu E. Bonilla R. Bonnand P. Booker B. A. Boom R. Bork V. Boschi N. Bose S. Bose V. Bossilkov V. Boudart Y. Bouffanais A. Bozzi C. Bradaschia P. R. Brady A. Bramley A. Branch M. Branchesi J. E. Brau M. Breschi T. Briant J. H. Briggs A. Brillet M. Brinkmann P. Brockill A. F. Brooks J. Brooks D. D. Brown S. Brunett G. Bruno R. Bruntz J. Bryant A. Buikema T. Bulik H. J. Bulten A. Buonanno R. Buscicchio D. Buskulic R. L. Byer L. Cadonati M. Caesar G. Cagnoli C. Cahillane H. W. Cain, III J. Calderón Bustillo J. LIGO Laboratory California Institute of Technology Pasadena California 91125 USA Louisiana State University Baton Rouge Louisiana 70803 USA Inter-University Centre for Astronomy and Astrophysics Pune 411007 India Dipartimento di Farmacia Università di Salerno I-84084 Fisciano Salerno Italy INFN Sezione di Napoli Complesso Universitario di Monte S.Angelo I-80126 Napoli Italy OzGrav School of Physics & Astronomy Monash University Clayton 3800 Victoria Australia Christopher Newport University Newport News Virginia 23606 USA LIGO Livingston Observatory Livingston Louisiana 70754 USA OzGrav Australian National University Canberra Australian Capital Territory 0200 Australia Max Planck Institute for Gravitational Physics (Albert Einstein Institute) D-30167 Hannover Germany Leibniz Universität Hannover D-30167 Hannover Germany University of Cambridge Cambridge CB2 1TN United Kingdom Theoretisch-Physikalisches Institut Friedrich-Schiller-Universität Jena D-07743 Jena Germany University of Birmingham Birmingham B15 2TT United Kingdom Center for Interdisciplinary Exploration & Research in Astrophysics (CIERA) Northwestern University Evanston Illinois 60208 USA Instituto Nacional de Pesquisas Espaciais 12227-010 São José dos Campos São Paulo Brazil Gravity Exploration Institute Cardiff University Cardiff CF24 3AA United Kingdom Gran Sasso Science Institute (GSSI) I-67100 L’Aquila Italy INFN Laboratori Nazionali del Gran Sasso I-67100 Assergi Italy INFN Sezione di Pisa I-56127 Pisa Italy Università di Pisa I-56127 Pisa Italy International Centre for Theoretical Sciences Tata Institute of Fundamental Research Bengaluru 560089 India Gravitational Wave Science Project National Astronomical Observatory of Japan (NAOJ) Mitaka City Tokyo 181-8588 Japan Advanced Technology Center National Astronomical Observatory of Japan (NAOJ) Mitaka City Tokyo 181-8588 Japan California State University Fullerton Fullerton California 92831 USA NCSA University of Illinois

We report results from searches for anisotropic stochastic gravitational-wave backgrounds using data from the first three observing runs of the Advanced LIGO and Advanced Virgo detectors. For the first time, we include Virgo data in our analysis and run our search with a new efficient pipeline called pystoch on data folded over one sidereal day. We use gravitational-wave radiometry (broadband and narrow band) to produce sky maps of stochastic gravitational-wave backgrounds and to search for gravitational waves from point sources. A spherical harmonic decomposition method is employed to look for gravitational-wave emission from spatially-extended sources. Neither technique found evidence of gravitational-wave signals. Hence we derive 95% confidence-level upper limit sky maps on the gravitational-wave energy flux from broadband point sources, ranging from Fα,Θ<(0.013–7.6)×10−8 erg cm−2 s−1 Hz−1, and on the (normalized) gravitational-wave energy density spectrum from extended sources, ranging from Ωα,Θ<(0.57–9.3)×10−9 sr−1, depending on direction (Θ) and spectral index (α). These limits improve upon previous limits by factors of 2.9–3.5. We also set 95% confidence level upper limits on the frequency-dependent strain amplitudes of quasimonochromatic gravitational waves coming from three interesting targets, Scorpius X-1, SN 1987A and the Galactic Center, with best upper limits range from h0<(1.7–2.1)×10−25, a factor of ≥2.0 improvement compared to previous stochastic radiometer searches.

关键词： Experimental studies of gravity General relativity Gravitational waves

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Defocus Fuzzy Image Restoration

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IOP Conference Series: Materials science and Engineering 2018年第1期466卷

作者： Chengcheng Li Gongfa Li Ying Sun Guozhang Jiang Du Jiang Shuang Xu Key Laboratory of Metallurgical Equipment and Control Technology Ministry of Education Wuhan University of Science and Technology Wuhan 430081 China Research Center of Biologic Manipulator and Intelligent Measurement and Control Wuhan University of Science and Technology Wuhan 430081 China Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering Wuhan University of Science and Technology Wuhan 430081 China 3D Printing and Intelligent Manufacturing Engineering Institute Wuhan University of Science and Technology Wuhan 430081 China

In daily life, if the focus is not on the object to be photographed, the image is blurred. This is the blurred image caused by the defocus. The defocus is a very common factor, and in most cases, the defocus amount is unpredictable, which brings great difficulty to defocus image restoration. In the existing defocus fuzzy image restoration method, the defocused point diffusion function can be estimated by determining the model parameters of the defocus blurred image, and then the reconstructed image can be obtained by inverse filtering or Wiener filtering. This paper introduces the causes of the defocus image, expounds the inverse filtering, Wiener filtering and blind restoration methods, and analyses the different principles of the three methods, and uses inverse filtering, Wiener filtering and blind restoration to deal with the defocus blurred images, and the expected results are obtained.

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