检索结果-内蒙古大学图书馆

Gravitational Test beyond the First Post-Newtonian Order with the Shadow of the M87 Black Hole

Physical Review Letters 2020年第14期125卷 141104-141104页

作者： Dimitrios Psaltis Lia Medeiros Pierre Christian Feryal Özel Kazunori Akiyama Antxon Alberdi Walter Alef Keiichi Asada Rebecca Azulay David Ball Mislav Baloković John Barrett Dan Bintley Lindy Blackburn Wilfred Boland Geoffrey C. Bower Michael Bremer Christiaan D. Brinkerink Roger Brissenden Silke Britzen Dominique Broguiere Thomas Bronzwaer Do-Young Byun John E. Carlstrom Andrew Chael Chi-kwan Chan Shami Chatterjee Koushik Chatterjee Ming-Tang Chen Yongjun Chen Ilje Cho John E. Conway James M. Cordes Geoffrey B. Crew Yuzhu Cui Jordy Davelaar Mariafelicia De Laurentis Roger Deane Jessica Dempsey Gregory Desvignes Jason Dexter Ralph P. Eatough Heino Falcke Vincent L. Fish Ed Fomalont Raquel Fraga-Encinas Per Friberg Christian M. Fromm Charles F. Gammie Roberto García Olivier Gentaz Ciriaco Goddi José L. Gómez Minfeng Gu Mark Gurwell Kazuhiro Hada Ronald Hesper Luis C. Ho Paul Ho Mareki Honma Chih-Wei L. Huang Lei Huang David H. Hughes Makoto Inoue Sara Issaoun David J. James Buell T. Jannuzi Michael Janssen Wu Jiang Alejandra Jimenez-Rosales Michael D. Johnson Svetlana Jorstad Taehyun Jung Mansour Karami Ramesh Karuppusamy Tomohisa Kawashima Garrett K. Keating Mark Kettenis Jae-Young Kim Junhan Kim Jongsoo Kim Motoki Kino Jun Yi Koay Patrick M. Koch Shoko Koyama Michael Kramer Carsten Kramer Thomas P. Krichbaum Cheng-Yu Kuo Tod R. Lauer Sang-Sung Lee Yan-Rong Li Zhiyuan Li Michael Lindqvist Rocco Lico Jun Liu Kuo Liu Elisabetta Liuzzo Wen-Ping Lo Andrei P. Lobanov Colin Lonsdale Ru-Sen Lu Jirong Mao Sera Markoff Daniel P. Marrone Alan P. Marscher Iván Martí-Vidal Satoki Matsushita Yosuke Mizuno Izumi Mizuno James M. Moran Kotaro Moriyama Monika Moscibrodzka Cornelia Müller Gibwa Musoke Alejandro Mus Mejías Hiroshi Nagai Neil M. Nagar Ramesh Narayan Gopal Narayanan Iniyan Natarajan Roberto Neri Aristeidis Noutsos Hiroki Okino Héctor Olivares Tomoaki Oyama Daniel C. M. Palumbo Jongho Park Nimesh Patel Ue-Li Pen Vincent Piétu Richard Plambeck Aleksandar PopStefanija Ben Prather Jorge A. Preciado-López Venkatessh Ramak Steward Observatory and Department of Astronomy University of Arizona 933 North Cherry Avenue Tucson Arizona 85721 USA School of Natural Sciences Institute for Advanced Study 1 Einstein Drive Princeton New Jersey 08540 USA National Radio Astronomy Observatory 520 Edgemont Road Charlottesville Virginia 22903 USA Massachusetts Institute of Technology Haystack Observatory 99 Millstone Road Westford Massachusetts 01886 USA National Astronomical Observatory of Japan 2-21-1 Osawa Mitaka Tokyo 181-8588 Japan Black Hole Initiative at Harvard University 20 Garden Street Cambridge Massachusetts 02138 USA Instituto de Astrofísica de Andalucía-CSIC Glorieta de la Astronomía s/n E-18008 Granada Spain Max-Planck-Institut für Radioastronomie Auf dem Hügel 69 D-53121 Bonn Germany Institute of Astronomy and Astrophysics Academia Sinica 11F of Astronomy-Mathematics Building AS/NTU No. 1 Sec. IV Roosevelt Road Taipei 10617 Taiwan Republic of China Departament d’Astronomia i Astrofísica Universitat de València C. Dr. Moliner 50 E-46100 Burjassot València Spain Observatori Astronmic Universitat de València C. Catedrático José Beltrán 2 E-46980 Paterna València Spain Center for Astrophysics–Harvard & Smithsonian 60 Garden Street Cambridge Massachusetts 02138 USA East Asian Observatory 660 North A’ohoku Place Hilo Hawaii 96720 USA Nederlandse Onderzoekschool voor Astronomie (NOVA) P.O. Box 9513 2300 RA Leiden Netherlands Institute of Astronomy and Astrophysics Academia Sinica 645 North A’ohoku Place Hilo Hawaii 96720 USA Institut de Radioastronomie Millimétrique 300 rue de la Piscine F-38406 Saint Martin d’Hères France Department of Astrophysics Institute for Mathematics Astrophysics and Particle Physics (IMAPP) Radboud University P.O. Box 9010 6500 GL Nijmegen Netherlands Korea Astronomy and Space Science Institute Daedeok-daero 776 Yuseong-gu Daejeon 34055 Republic of Korea University of Science and Technology Gajeong-ro 217 Yuseong-gu Daejeon 34113 Re

The 2017 Event Horizon Telescope (EHT) observations of the central source in M87 have led to the first measurement of the size of a black-hole shadow. This observation offers a new and clean gravitational test of the black-hole metric in the strong-field regime. We show analytically that spacetimes that deviate from the Kerr metric but satisfy weak-field tests can lead to large deviations in the predicted black-hole shadows that are inconsistent with even the current EHT measurements. We use numerical calculations of regular, parametric, non-Kerr metrics to identify the common characteristic among these different parametrizations that control the predicted shadow size. We show that the shadow-size measurements place significant constraints on deviation parameters that control the second post-Newtonian and higher orders of each metric and are, therefore, inaccessible to weak-field tests. The new constraints are complementary to those imposed by observations of gravitational waves from stellar-mass sources.

关键词： Astrophysical studies of gravity Classical black holes Experimental studies of gravity Astronomical black holes

来源：评论

学校读者我要写书评

暂无评论

Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation

arXiv

引用

arXiv 2017年

作者： Koanantakool, Penporn Ali, Alnur Azad, Ariful Buluç, Aydın Morozov, Dmitriy Oliker, Leonid Yelick, Katherine Oh, Sang-Yun Department of Electrical Engineering and Computer Sciences UC Berkeley United States Machine Learning Department Carnegie Mellon University United States Computational Research Division Lawrence Berkeley National Laboratory United States Berkeley Institute for Data Science UC Berkeley United States Department of Statistics and Applied Probability UC Santa Barbara United States Google Brain United States

Across a variety of scientific disciplines, sparse inverse covariance estimation is a popular tool for capturing the underlying dependency relationships in multivariate data. Unfortunately, most estimators are not scalable enough to handle the sizes of modern high-dimensional data sets (often on the order of terabytes), and assume Gaussian samples. To address these deficiencies, we introduce HP-CONCORD, a highly scalable optimization method for estimating a sparse inverse covariance matrix based on a regularized pseudolikelihood framework, without assuming Gaussianity. Our parallel proximal gradient method uses a novel communication-avoiding linear algebra algorithm and runs across a multi-node cluster with up to 1k nodes (24k cores), achieving parallel scalability on problems with up to ≈819 billion parameters (1.28 million dimensions);even on a single node, HP-CONCORD demonstrates scalability, outperforming a state-of-the-art method. We also use HP-CONCORD to estimate the underlying dependency structure of the brain from fMRI data, and use the result to identify functional regions automatically. The results show good agreement with a clustering from the neuroscience literature. Copyright © 2017, The Authors. All rights reserved.

关键词： Scalability

来源：评论

学校读者我要写书评

暂无评论

Network slicing for service-oriented networks under resource constraints

arXiv

引用

arXiv 2017年

作者： Zhang, Nan Liu, Ya-Feng Farmanbar, Hamid Chang, Tsung-Hui Hong, Mingyi Luo, Zhi-Quan School of Mathematical Sciences Peking University State Key Laboratory of Scientific and Engineering Computing Institute of Computational Mathematics and Scientific/Engineering Computing Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing China Huawei Canada Research Center Ottawa Canada Department of Electrical and Computer Engineering University of Minnesota United States Shenzhen Research Institute of Big Data Chinese University of Hong Kong Shenzhen China

To support multiple on-demand services over fixed communication networks, network operators must allow flexible customization and fast provision of their network resources. One effective approach to this end is network virtualization, whereby each service is mapped to a virtual subnetwork providing dedicated on-demand support to network users. In practice, each service consists of a prespecified sequence of functions, called a service function chain (SFC), while each service function in a SFC can only be provided by some given network nodes. Thus, to support a given service, we must select network function nodes according to the SFC and determine the routing strategy through the function nodes in a specified order. A crucial network slicing problem that needs to be addressed is how to optimally localize the service functions in a physical network as specified by the SFCs, subject to link and node capacity constraints. In this paper, we formulate the network slicing problem as a mixed binary linear program and establish its strong NP-hardness. Furthermore, we propose efficient penalty successive upper bound minimization (PSUM) and PSUM-R(ounding) algorithms, and two heuristic algorithms to solve the problem. Simulation results are shown to demonstrate the effectiveness of the proposed algorithms. Copyright © 2017, The Authors. All rights reserved.

关键词： Network function virtualization

来源：评论

学校读者我要写书评

暂无评论

The multichord stellar occultation by the centaur Bienor on

arXiv

引用

arXiv 2022年

作者： Fernández-Valenzuela, Estela Morales, N. Vara-Lubiano, M. Ortiz, J.L. Benedetti-Rossi, G. Sicardy, B. Kretlow, M. Santos-Sanz, P. Morgado, B. Souami, D. Organero, F. Ana, L. Fonseca, F. Román, A. Alonso, S. Gonçalves, R. Ferreira, M. Iglesias-Marzoa, R. Lamadrid, J.L. Alvarez-Candal, A. Assafin, M. Braga-Ribas, F. Camargo, J.I.B. Colas, F. Desmars, J. Duffard, R. Lecacheux, J. Gomes-Júnior, A.R. Rommel, F.L. Vieira-Martins, R. Pereira, C.L. Casanova, V. Selva, A. Perelló, C. Mottola, S. Hellmich, S. Maestre, J.L. Castro-Tirado, A.J. Pal, A. Trigo-Rodriguez, J.M. Beisker, W. Laporta, A. Garcés, M. Escaned, L. Bretton, M. Florida Space Institute UCF 12354 Research Parkway Partnership 1 building Room 211 Orlando United States Instituto de astrofísica de Andalucía CSIC Glorieta de la Astronomía s/n Granada18008 Spain UNESP - São Paulo State University Grupo de Dinâmica Orbital e Planetologia SP Guaratinguetá12516-410 Brazil Laboratório Interinstitucional de e-Astronomia - LIneA INCT do e-Universo Rua Gal. José Cristino 77 RJ Rio de Janeiro20921-400 Brazil LESIA Observatoire de Paris Université PSL Sorbonne Université Université de Paris CNRS Meudon92190 France naXys University of Namur 8 Rempart de la Vierge NamurB-5000 Belgium Rua Gal. José Cristino 77—Bairro Imperial de São Cristóvão Rio de Janeiro20921-400 Brazil Complejo Astronómico de La Hita Camino de Doña Sol s/n LaVilla de Don fadrique45850 Spain Sociedad Astronómica Granadina Apartado de Correos 195 Granada18080 Spain Software Engineering Department Andalusian Research Institute in Data Science and Computational Intelligence University of Granada Spain Instituto Politécnico de Tomar CI2 e U.D. Matemática e Física Tomar2300-313 Portugal Centro Ciência Viva Alto de Santa Bárbara Via Galileu Galilei 817 Constância2250-100 Portugal Centro de Estudios de Física del Cosmos de Aragón Plaza San Juan 1 Teruel44001 Spain Instituto de Física Aplicada a las Ciencias y las Tecnologías Universidad de Alicante San Vicent del Raspeig AlicanteE03080 Spain Observatório do Valongo/UFRJ Ladeira Pedro Antonio 43 RJ Rio de Janeiro20.080-090 Brazil Av. Sete de Setembro 3165 CEP Curitiba80230-901 Brazil Institut Polytechnique des Sciences Avancées IPSA 63 boulevard de Brandebourg Ivry-sur-SeineF-94200 France Institut de Mécanique Céleste et de Calcul des Éphémérides IMCCE Observatoire de Paris PSL Research University CNRS Sorbonne Universités UPMC Univ Paris 06 Univ. Lille 77 Av. Denfert-Rochereau ParisF-75014 France Agrupación Astronómica de Sabadell Carrer Prat de la Riba 116 Sabadell08206 Spai

Within our program of physical characterization of trans-Neptunian objects and centaurs, we predicted a stellar occultation by the centaur (54598) Bienor to occur on January 11, 2019, with good observability potential. We obtained high accuracy astrometric data to refine the prediction, resulting in a shadow path favorable for the Iberian Peninsula. This encouraged us to carry out an occultation observation campaign that resulted in five positive detections from four observing sites. This is the fourth centaur for which a multichord (more than two chords) stellar occultation has been observed so far, the other three being (2060) Chiron, (10199) Chariklo, and (95626) 2002 GZ32. From the analysis of the occultation chords, combined with the rotational light curve obtained shortly after the occultation, we determined that Bienor has an area-equivalent diameter of 150 ± 20 km. This diameter is ∼ 30 km smaller than the one obtained from thermal measurements. The position angle of the short axis of the best fitting ellipse obtained through the analysis of the stellar occultation does not match that of the spin axis derived from long-term photometric models. We also detected a strong irregularity in one of the minima of the rotational light curve that is present no matter the aspect angle at which the observations were done. We present different scenarios to reconcile the results from the different techniques. We did not detect secondary drops related to potential rings or satellites. Nonetheless, similar rings in size to that of Chariklo’s cannot be discarded due to low data accuracy. © 2022, CC BY.

关键词： Photometry

来源：评论

学校读者我要写书评

暂无评论

OzDES multi-object fibre spectroscopy for the Dark Energy Survey: Results and second data release

arXiv

引用

arXiv 2020年

作者： Lidman, C. Tucker, B.E. Davis, T.M. Uddin, S.A. Asorey, J. Bolejko, K. Brout, D. Calcino, J. Carollo, D. Carr, A. Childress, M. Hoormann, J.K. Foley, R.J. Galbany, L. Glazebrook, K. Hinton, S.R. Kessler, R. Kim, A.G. King, A. Kremin, A. Kuehn, K. Lagattuta, D. Lewis, G.F. Macaulay, E. Malik, U. March, M. Martini, P. Möller, A. Mudd, D. Nichol, R.C. Panther, F. Parkinson, D. Pursiainen, M. Sako, M. Swann, E. Scalzo, R. Scolnic, D. Sharp, R. Smith, M. Sommer, N.E. Sullivan, M. Webb, S. Wiseman, P. Yu, Z. Yuan, F. Zhang, B. Abbott, T.M.C. Aguena, M. Allam, S. Annis, J. Avila, S. Bertin, E. Bhargava, S. Brooks, D. Carnero Rosell, A. Carrasco Kind, M. Carretero, J. Castander, F.J. Costanzi, M. da Costa, L.N. de Vicente, J. Doel, P. Eifler, T.F. Everett, S. Fosalba, P. Frieman, J. García-Bellido, J. Gaztanaga, E. Gruen, D. Gruendl, R.A. Gschwend, J. Gutierrez, G. Hartley, W.G. Hollowood, D.L. Honscheid, K. James, D.J. Kuropatkin, N. Li, T.S. Lima, M. Lin, H. Maia, M.A.G. Marshall, J.L. Melchior, P. Menanteau, F. Miquel, R. Palmese, A. Paz-Chinchón, F. Plazas, A.A. Roodman, A. Rykoff, E.S. Sanchez, E. Santiago, B. Scarpine, V. Schubnell, M. Serrano, S. Sevilla-Noarbe, I. Suchyta, E. Swanson, M.E.C. Tarle, G. Tucker, D.L. Varga, T.N. Walker, A.R. Wester, W. Wilkinson, R.D. Research School of Astronomy and Astrophysics Australian National University ACT2601 Australia School of Mathematics and Physics University of Queensland BrisbaneQLD4072 Australia Observatories of the Carnegie Institution for Science 813 Santa Barbara St. PasadenaCA91101 United States Madrid Spain School of Natural Sciences College of Sciences and Engineering University of Tasmania Private Bag 37 Hobart TAS7001 Australia NASA Einstein Department of Physics and Astronomy University of Pennsylvania PhiladelphiaPA19104 United States INAF Astrophysical Observatory of Turin Pino TorineseI-10025 Italy School of Physics and Astronomy University of Southampton SouthamptonSO17 1BJ United Kingdom Santa Cruz Institute for Particle Physics Santa CruzCA95064 United States PITT PACC Department of Physics and Astronomy University of Pittsburgh PittsburghPA15260 United States Centre for Astrophysics & Supercomputing Swinburne University of Technology Victoria3122 Australia Department of Astronomy and Astrophysics University of Chicago ChicagoIL60637 United States Kavli Institute for Cosmological Physics University of Chicago ChicagoIL60637 United States Lawrence Berkeley National Laboratory 1 Cyclotron Road BerkeleyCA94720 United States School of Physics University of Melbourne ParkvilleVIC3010 Australia Department of Physics University of Michigan Ann ArborMI48109 United States Australian Astronomical Optics Macquarie University North RydeNSW2113 Australia Lowell Observatory 1400 Mars Hill Rd FlagstaffAZ86001 United States Centre for Extragalactic Astronomy Department of Physics Durham University DurhamDH1 3LE United Kingdom Institute for Computational Cosmology Durham University South Road DurhamDH1 3LE United Kingdom Sydney Institute for Astronomy School of Physics University of Sydney A28 NSW2006 Australia Institute of Cosmology and Gravitation University of Portsmouth PortsmouthPO1 3FX United Kingdom Center for Cosmology

We present a description of the Australian Dark Energy Survey (OzDES) and summarise the results from its six years of operations. Using the 2dF fibre positioner and AAOmega spectrograph on the 3.9-m Anglo-Australian Telescope, OzDES has monitored 771 AGN, classified hundreds of supernovae, and obtained redshifts for thousands of galaxies that hosted a transient within the 10 deep fields of the Dark Energy Survey. We also present the second OzDES data release, containing the redshifts of almost 30,000 sources, some as faint as rAB = 24 mag, and 375,000 individual spectra. These data, in combination with the time-series photometry from the Dark Energy Survey, will be used to measure the expansion history of the Universe out to z ~ 1.2 and the masses of hundreds of black holes out to z ~ 4. OzDES is a template for future surveys that combine simultaneous monitoring of targets with wide-field imaging cameras and wide-field multi-object spectrographs. Copyright © 2020, The Authors. All rights reserved.

关键词： Surveys

来源：评论

学校读者我要写书评

暂无评论

SciPy 1.0—Fundamental algorithms for scientific computing in python

arXiv

引用

arXiv 2019年

作者： Virtanen, Pauli Gommers, Ralf Oliphant, Travis E. Haberland, Matt Reddy, Tyler Cournapeau, David Burovski, Evgeni Peterson, Pearu Weckesser, Warren Bright, Jonathan van der Walt, Stéfan J. Brett, Matthew Wilson, Joshua Millman, K. Jarrod Mayorov, Nikolay Nelson, Andrew R.J. Jones, Eric Kern, Robert Larson, Eric Carey, C.J. Polat, Ilhan Feng, Yu Moore, Eric W. VanderPlas, Jake Laxalde, Denis Perktold, Josef Cimrman, Robert Henriksen, Ian Quintero, E.A. Harris, Charles R. Archibald, Anne M. Ribeiro, Antônio H. Pedregosa, Fabian van Mulbregt, Paul University of Jyväskylä University of Jyväskylä FI-40014 Finland Quansight LLC AustinTX United States Ultrasound Imaging Mayo Clinic RochesterMN55902 United States Electrical Engineering Brigham Young University ProvoUT84604 United States Enthought Inc. AustinTX78701 United States Anaconda Inc AustinTX78701 United States BioResource and Agricultural Engineering Department California Polytechnic State University San Luis ObispoCA93407 United States Department of Mathematics University of California Los AngelesCA90025 United States Los Alamos National Laboratory Los AlamosNM87544 United States Independent Researcher Higher School of Economics Myasnitskaya 20 Moscow101000 Russia Independent Researcher Saue Estonia Department of Mechanics and Applied Mathematics Institute of Cybernetics Tallinn Technical University Akadeemia Rd 21 Tallinn Estonia Independent Researcher NY United States Berkeley Institute for Data Science University of California BerkeleyCA94720 United States School of Psychology University of Birmingham Edgbaston BirmighamB15 2TT United Kingdom Division of Biostatistics University of California BerkeleyCA94720 United States WayRay LLC Skolkovo Innovation Center Moscow143026 Russia Australian Nuclear Science and Technology Organisation Locked Bag 2001 Kirrawee DCNSW2232 Australia Institute for Learning and Brain Sciences University of Washington SeattleWA98195 United States College of Information and Computing Sciences University of Massachusetts Amherst AmherstMA01002 United States Berkeley Center for Cosmological Physics University of California BerkeleyCA94720 United States Bruker Biospin Corp. 15 Fortune Drive BillericaMA01821 United States University of Washington SeattleWA98195 United States New Technologies - Research Centre University of West Bohemia Univerzitní 8 Plzeň306 14 Czech Republic Oden Institute for Computational Engineering and Sciences University of Texas at Austin AustinTX7

SciPy is an open source scientific computing library for the Python programming language. SciPy 1.0 was released in late 2017, about 16 years after the original version 0.1 release. SciPy has become a de facto standard for leveraging scientific algorithms in the Python programming language, with more than 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories, and millions of downloads per year. This includes usage of SciPy in almost half of all machine learning projects on GitHub, and usage by high profile projects including LIGO gravitational wave analysis and creation of the first-ever image of a black hole (M87). The library includes functionality spanning clustering, Fourier transforms, integration, interpolation, file I/O, linear algebra, image processing, orthogonal distance regression, minimization algorithms, signal processing, sparse matrix handling, computational geometry, and statistics. In this work, we provide an overview of the capabilities and development practices of the SciPy library and highlight some recent technical developments. Copyright © 2019, The Authors. All rights reserved.

关键词： Open source software

来源：评论

学校读者我要写书评

暂无评论

Author Correction: The SEQC2 epigenomics quality control (EpiQC) study

引用

Genome biology 2021年第1期22卷 350页

作者： Jonathan Foox Jessica Nordlund Claudia Lalancette Ting Gong Michelle Lacey Samantha Lent Bradley W Langhorst V K Chaithanya Ponnaluri Louise Williams Karthik Ramaswamy Padmanabhan Raymond Cavalcante Anders Lundmark Daniel Butler Christopher Mozsary Justin Gurvitch John M Greally Masako Suzuki Mark Menor Masaki Nasu Alicia Alonso Caroline Sheridan Andreas Scherer Stephen Bruinsma Gosia Golda Agata Muszynska Paweł P Łabaj Matthew A Campbell Frank Wos Amanda Raine Ulrika Liljedahl Tomas Axelsson Charles Wang Zhong Chen Zhaowei Yang Jing Li Xiaopeng Yang Hongwei Wang Ari Melnick Shang Guo Alexander Blume Vedran Franke Inmaculada Ibanez de Caceres Carlos Rodriguez-Antolin Rocio Rosas Justin Wade Davis Jennifer Ishii Dalila B Megherbi Wenming Xiao Will Liao Joshua Xu Huixiao Hong Baitang Ning Weida Tong Altuna Akalin Yunliang Wang Youping Deng Christopher E Mason Department of Physiology and Biophysics Weill Cornell Medicine New York NY USA. The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine Weill Cornell Medicine New York NY USA. Department of Medical Sciences and Science for Life Laboratory Uppsala University Uppsala Sweden. EATRIS ERIC- European Infrastructure for Translational Medicine De Boelelaan 1118 1081 HZ Amsterdam The Netherlands. BRCF Epigenomics Core University of Michigan Medicine Ann Arbor MI 48109 USA. Department of Quantitative Health Sciences University of Hawaii John A. Burns School of Medicine Honolulu HI 96813 USA. Tulane University New Orleans LA 70118 USA. AbbVie Genomics Research Center 1 N. Waukegan Rd North Chicago IL 60036 USA. New England Biolabs Ipswich MA 01938 USA. Albert Einstein College of Medicine Bronx NY 10461 USA. Division of Hematology/Oncology Department of Medicine Epigenomics Core Facility Weill Cornell Medicine New York NY USA. Institute for Molecular Medicine Finland (FIMM) University of Helsinki Helsinki Finland. Illumina Inc Madison WI 53705 USA. Faculty of Biochemistry Biophysics and Biotechnology Jagiellonian University Krakow Poland. Małopolska Centre of Biotechnology Jagiellonian University Krakow Poland. New York Genome Center New York NY 10013 USA. Center for Genomics School of Medicine Loma Linda University Loma Linda CA 92350 USA. Department of Allergy and Clinical Immunology State Key Laboratory of Respiratory Disease Guangzhou Institute of Respiratory Health the First Affiliated Hospital of Guangzhou Medical University Guangzhou Guangdong China. Department of Neurology The Second Affiliated Hospital of Zhengzhou University Zhengzhou 450014 China. Development of Medicine the University of Chicago Chicago IL 60637 USA. Department of Neurology the Second Affiliated Hospital of Zhengzhou University Zhengzhou 450014 China. Bioinformatics and Omics Data Science Platform Berlin Institute f

来源：评论

学校读者我要写书评

暂无评论

Stability of Inverse Transport Equation in Diffusion Scaling And Fokker-Planck Limit

arXiv

引用

arXiv 2017年

作者： Chen, Ke LI, Qin Wang, Li Mathematics Department University of Wisconsin-Madison 480 Lincoln Dr. MadisonWI53705 United States Mathematics Department and Wisconsin Institute of Discovery University of Wisconsin-Madison 480 Lincoln Dr. MadisonWI53705 United States Department of Mathematics Computational and Data-Enabled Science and Engineering Program State University of New York at Buffalo 244 Mathematics Building BuffaloNY14206 United States

We consider the inverse problem of reconstructing the scattering and absorption coefficients using boundary measurements for a time dependent radiative transfer equation (RTE). As the measurement is mostly polluted by errors, both experimental and computational, an important question is to quantify how the error is amplified in the process of reconstruction. In the forward setting, the solution to the RTE behaves differently in different regimes, and the stability of the inverse problem vary accordingly. In particular, we consider two scalings in this paper. The first one concerns with a diffusive scaling whose macroscopic limit is a diffusion equation. In this case, we showed, following the similar approach as in [Chen, Li and Wang, arXiv:1703.00097], that the stability degrades when the limit is taken. The second one considers a highly forward peaked scattering, wherein the scattering operator is approximated by a Fokker-Planck operator as a limit. In this case, we showed that a fully recover of the scattering coefficient is less possible in the limit, whereas obtaining a rescaled version of the scattering coefficient becomes more practice friendly. Copyright © 2017, The Authors. All rights reserved.

关键词： Inverse problems

来源：评论

学校读者我要写书评

暂无评论

A Bluetooth low energy based beacon system for smart short range surveillance

A Bluetooth low energy based beacon system for smart short r...

引用

IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)

作者： B G Anil Kumar K C Bhagyalakshmi K Lavanya K H Gowranga Department of Computer Science and Engineering Vijaya Vittala Institute of Technology Bangalore India Department of Computational and Data Sciences Indian Institute of Science Bangalore India

ISBN: (纸本)9781509007752

The aim of this paper is to propose a fault-tolerant smart system which can render, track and monitor the process of attendance of students. A smart attendance system is refined in a systematic manner where the students enter the lecture hall with an android device which possesses a beacon compatible mobile app. The main purpose of this system is to minimize the power consumption of Bluetooth using Bluetooth Low Energy (BLE) technology, which prevents fraud and favors in an attendance system by using a Bluetooth smart beacon.

关键词： Bluetooth Radiofrequency identification Smart phones Internet of Things Smart cities databases Fingers

来源：评论

学校读者我要写书评

暂无评论

Development of a fast reactor for minor actinides transmutation - Improvement of prediction accuracy for ma-related integral parameters based on cross-section adjustment technique

Development of a fast reactor for minor actinides transmutat...

引用

Physics of Reactors 2016: Unifying Theory and Experiments in the 21st Century, PHYSOR 2016

作者： Yokoyama, Kenji Maruyama, Shuhei Numata, Kazuyuki Ishikawa, Makoto Takeda, Toshikazu Nuclear Data and Reactor Engineering Division Nuclear Science and Engineering Center Japan Atomic Energy Agency Ibaraki Japan Research Institute of Nuclear Engineering University of Fukui Fukui Japan Fast Reactor Computational Engineering Department Advanced Fast Reactor Cycle System Research and Development Center Japan Atomic Energy Agency Ibaraki Japan

ISBN: (纸本)9781510825734

In order to improve the prediction accuracy of the minor actinide transmutation in fast reactors, the cross-section adjustment technique was applied. In the present study, we utilized the MA-related integral experimental data that were extensively collected and evaluated in detail as a part of the ongoing project "Study on Minor Actinides Transmutation Using Monju data." This is one of the national projects entitled "technology development for the environmental burden reduction," which has been launched by MEXT (Ministry of Education, Culture, Sports, science and Technology) in Japan. Those data include neutronics parameters, such as the criticality and the sodium void reactivity measured in massively Np-loaded cores, MA fission reaction rate ratios measured in fast critical assemblies, MA samples irradiated in fast reactors, and neutronics parameters measured in an 241Am-accumulated fast breeder reactor. These MA-related integral experimental data were applied to the cross-section adjustment with the existing general, i.e., non-MA-related experimental data. For the criticality and sodium void reactivity, significant improvement of prediction accuracy is seen both for the cores with MA and without MA. As for the fission rate ratios, the cross-section adjustment result suggests the large reduction of 244Cm fission cross section.

关键词： Fast reactors

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：