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arXiv 2023年

作者： Kelly, P. Jobel, J. Eiger, O. Abd, A. Jeltema, T.E. Giles, P. Hollowood, D.L. Wilkinson, R.D. Turner, D.J. Bhargava, S. Everett, S. Farahi, A. Romer, A.K. Rykoff, E.S. Wang, F. Bocquet, S. Cross, D. Faridjoo, R. Franco, J. Gardner, G. Kwiecien, M. Laubner, D. McDaniel, A. O’Donnell, J.H. Sanchez, L. Schmidt, E. Sripada, S. Swart, A. Upsdell, E. Webber, A. Aguena, M. Allam, S. Alves, O. Bacon, D. Brooks, D. Burke, D.L. Rosell, A. Carnero Carretero, J. Collins, C.A. Costanzi, M. da Costa, L.N. Pereira, M.E.S. Davis, T.M. Doel, P. Ferrero, I. Frieman, J. García-Bellido, J. Giannini, G. Gruen, D. Gruendl, R.A. Hilton, M. Hinton, S.R. Honscheid, K. James, D.J. Kuehn, K. Mann, R.G. Marshall, J.L. Mena-Fernández, J. Miller, C.J. Miquel, R. Myles, J. Palmese, A. Pieres, A. Malagón, A.A. Plazas Rooney, P.J. Sahlen, M. Sanchez, E. Cid, D. Sanchez Schubnell, M. Sevilla-Noarbe, I. Smith, M. Stott, J.P. Suchyta, E. Swanson, M.E.C. Tarle, G. To, C. Viana, P.T.P. Weaverdyck, N. Wiseman, P. University of California Santa Cruz Santa CruzCA95064 United States University of California Davis 1 Shields Ave DavisCA95616 United States Santa Cruz Institute for Particle Physics Santa CruzCA95064 United States SLAC National Accelerator Laboratory 2575 Sand Hill Road Menlo ParkCA94025 United States Swinburne University of Technology John St HawthornVIC3122 Australia Department of Physics and Astronomy Pevensey Building University of Sussex BrightonBN1 9QH United Kingdom 2 place Maurice-Quentin Paris France Jet Propulsion Laboratory California Institute of Technology 4800 Oak Grove Dr. PasadenaCA91109 United States Departments of Statistics and Data Science University of Texas at Austin AustinTX78757 United States Kavli Institute for Particle Astrophysics & Cosmology Stanford University P. O. Box 2450 StanfordCA94305 United States SLAC National Accelerator Laboratory Menlo ParkCA94025 United States Los Altos High School United States University of California Berkeley University Avenue and Oxford St BerkeleyCA94720 United States University Observatory Faculty of Physics Ludwig-Maximilians-Universität Scheinerstr. 1 Munich81679 Germany Campus UAB Carrer de Can Magrans s/n Barcelona08193 Spain Homestead High School United States De Anza College 21250 Stevens Creek Blvd CupertinoCA United States Department of Physics and Astronomy Clemson University Kinard Lab of Physics ClemsonSC29634-0978 United States California State University San Marcos 333 S Twin Oaks Valley Rd San MarcosCA92096 United States Dougherty Valley High School United States University of New Hampshire 105 Main St DurhamNH03824 United States Laboratório Interinstitucional de e-Astronomia - LIneA Rua Gal. José Cristino 77 RJ Rio de Janeiro20921-400 Brazil Fermi National Accelerator Laboratory P. O. Box 500 BataviaIL60510 United States Department of Physics University of Michigan Ann ArborMI48109 United States Institute of Cosmology and G

We use Dark Energy Survey Year 3 (DES Y3) clusters with archival X-ray data from XMM-Newton and Chandra to assess the centering performance of the redMaPPer cluster finder and to measure key richness observable scaling relations. In terms of centering, we find that 10-20% of redMaPPer clusters are miscentered with no significant difference in bins of low versus high richness (20 40) or redshift (0.2 X-λ scatter of 0.21 ± 0.01. While the scatter in TX-λ is consistent in bins of redshift, we do find modestly different slopes with high-redshift clusters displaying a somewhat shallower relation. Splitting based on richness, we find a marginally larger scatter for our lowest richness bin, 20 © 2023, CC BY.

关键词： Galaxies

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Improvement of an Anonymous and Lightweight Authentication Scheme for TMIS

Improvement of an Anonymous and Lightweight Authentication S...

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作者： Chien-Ming Chen Bin Xiang Eric Wang Ke Tsu-Yang Wu Jerry Chun-Wei Lin Department of Computer Science and Technology Harbin Institute of Technology Shenzhen Graduate School Fujian University of Technology Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian University of Technology National Demonstration Center for Experimental Electronic Information and Electrical Technology Education Fujian University of Technology

Telecare Medicine Information Systems(TMIS) provides flexible and convenient healthcare for patients. However, the medical data transmitted between patients and doctors are exposed to unsecure public networks. To protect the patient's personal information, many authentication schemes are designed. Recently, Kang et al. proposed a hash based authentication schemes for TMIS and claimed that it could resist various attacks. However, we find that their proposed scheme is unsecure to traceability attack and user impersonation attack. In order to enhance the security and preserve the efficiency of Kang et al.'s, we proposed a new anonymous and lightweight scheme. The analysis demonstrates that our proposed scheme is superior to Kang et al.'s and the related schemes in security.

关键词： Authentication TMIS Smart Card

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A matrix-based implementation of DE algorithm: The compensation and deficiency 30th

A matrix-based implementation of DE algorithm: The compensat...

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30th International Conference on Industrial, Engineering, and Other applications of Applied Intelligent Systems, IEA/AIE 2017

作者： Pan, Jeng-Shyang Meng, Zhenyu Xu, Huarong Li, Xiaoqing Fujian Provincial Key Lab of Big Data Mining and Applications Fujian University of Technology Fuzhou China Department of Computer Science and Technology Harbin Institute of Technology Shenzhen Graduate School Shenzhen China Department of Computer Science and Technology Xiamen University of Technology Xiamen China Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China

ISBN: (纸本)9783319600413

Differential Evolution has become a very popular continuous optimization algorithm since its inception as its simplicity, easy coding and good performance over kinds of optimization problems. Difference operator in donor vector calculation is the key feature of DE algorithm. Usually, base vector and difference vectors selection in calculating a donor usually cost extra lines of condition judgement. Moreover, these vectors are not equally selected from the individual population. These lead to more perturbation in optimization performance. To tackling this disadvantage of DE implementation, a matrix-based implementation of DE algorithm is advanced herein this paper. Three commonly used DE implementation approaches in literature are also presented and contrasted. CEC2013 test suites for real-parameter optimization are used as the test-beds for these comparison. Experiment results show that the proposed matrix-based implementation of DE algorithm performs better on optimization performance than the common implementation schemes of DE algorithm with similar time complexity. © Springer International Publishing AG 2017.

关键词： Global optimization

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Cosmological constraints from the tomography of DES-Y3 galaxies with CMB lensing from ACT DR4

arXiv

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arXiv 2023年

作者： Marques, G.A. Madhavacheril, M.S. Darwish, O. Shaikh, S. Aguena, M. Alves, O. Avila, S. Bacon, D. Baxter, E.J. Bechtol, K. Becker, M.R. Bertin, E. Blazek, J. Bond, J. Richard Brooks, D. Cai, H. Calabrese, E. Rosell, A. Carnero Kind, M. Carrasco Carretero, J. Cawthon, R. Crocce, M. da Costa, L.N. Pereira, M.E.S. De Vicente, J. Desai, S. Diehl, H.T. Doel, P. Doux, C. Drlica-Wagner, A. Dunkley, J. Elvin-Poole, J. Everett, S. Ferraro, Simone Ferrero, I. Flaugher, B. Fosalba, P. García-Bellido, J. Gatti, M. Giannini, G. Gluscevic, V. Gruen, D. Gruendl, R.A. Gutierrez, G. Harrison, I. Hill, J. Colin Hinton, S.R. Hollowood, D.L. Honscheid, K. Huterer, D. Jeffrey, N. Kim, J. Kuehn, K. Lahav, O. Lemos, P. Lima, M. Huffenberger, K.M. MacCrann, N. Marshall, J.L. Mena-Fernández, J. Miquel, R. Mohr, J.J. Moodley, K. Muir, J. Naess, S. Nati, F. Page, L.A. Palmese, A. Malagón, A.A. Plazas Porredon, A. Prat, J. Qu, F.J. Raveri, M. Ross, A.J. Rykoff, E.S. Farren, G.S. Samuroff, S. Sanchez, E. Schubnell, M. Sehgal, N. Sevilla-Noarbe, I. Sheldon, E. Sherwin, B.D. Sifón, C. Smith, M. Spergel, D.N. Staggs, S.T. Suchyta, E. Tarle, G. To, C. Van Engelen, A. Weaverdyck, N. Weller, J. Wenzl, L. Wiseman, P. Wollack, E.J. Yanny, B. Fermi National Accelerator Laboratory P. O. Box 500 BataviaIL60510 United States Department of Physics Florida State University TallahasseeFL32306 United States Kavli Institute for Cosmological Physics University of Chicago ChicagoIL60637 United States Department of Physics and Astronomy University of Pennsylvania PhiladelphiaPA19104 United States Centre for the Universe Perimeter Institute WaterlooONN2L 2Y5 Canada Université de Genève Département de Physique Théorique Centre for Astroparticle Physics 24 quai Ernest-Ansermet Genève 4CH-1211 Switzerland School of Earth and Space Exploration Arizona State University TempeAZ85287 United States Laboratório Interinstitucional de e-Astronomia - LIneA Rua Gal. José Cristino 77 RJ Rio de Janeiro20921-400 Brazil Department of Physics University of Michigan Ann ArborMI48109 United States The Barcelona Institute of Science and Technology Campus UAB Barcelona Bellaterra08193 Spain Institute of Cosmology and Gravitation University of Portsmouth PortsmouthPO1 3FX United Kingdom Institute for Astronomy University of Hawai’i 2680 Woodlawn Drive HonoluluHI96822 United States Physics Department 2320 Chamberlin Hall University of Wisconsin-Madison 1150 University Avenue MadisonWI53706-1390 United States Argonne National Laboratory 9700 South Cass Avenue LemontIL60439 United States CNRS UMR 7095 Institut d’Astrophysique de Paris ParisF-75014 France Sorbonne Universités UPMC Univ Paris 06 UMR 7095 Institut d’Astrophysique de Paris ParisF-75014 France CITA University of Toronto TorontoONM5S 3H8 Canada Department of Physics & Astronomy University College London Gower Street LondonWC1E 6BT United Kingdom Department of Physics and Astronomy University of Pittsburgh PittsburghPA15260 United States School of Physics and Astronomy Cardiff University The Parade CardiffCF24 3AA United Kingdom Instituto de Astrofisica de Canarias Tenerife La LagunaE-38205 Spain Universidad de La Laguna

We present a measurement of the cross-correlation between the MAGLIM galaxies selected from the Dark Energy Survey (DES) first three years of observations (Y3) and cosmic microwave background (CMB) lensing from the Atacama Cosmology Telescope (ACT) data Release 4 (DR4), reconstructed over ∼ 436 deg2 of the sky. Our galaxy sample, which covers ∼ 4143 deg2, is divided into six redshift bins spanning the redshift range of 0.20 8 compared to results from measurements of CMB anisotropies by the Planck satellite, although at a mild level ( Copyright © 2023, The Authors. All rights reserved.

关键词： Galaxies

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Dark Energy Survey Year 3 results: Constraints on extensions to ΛCDM with weak lensing and galaxy clustering

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Physical Review D 2023年第8期107卷 083504-083504页

作者： T. M. C. Abbott M. Aguena A. Alarcon O. Alves A. Amon F. Andrade-Oliveira J. Annis S. Avila D. Bacon E. Baxter K. Bechtol M. R. Becker G. M. Bernstein S. Birrer J. Blazek S. Bocquet A. Brandao-Souza S. L. Bridle D. Brooks D. L. Burke H. Camacho A. Campos A. Carnero Rosell M. Carrasco Kind J. Carretero F. J. Castander R. Cawthon C. Chang A. Chen R. Chen A. Choi C. Conselice J. Cordero M. Costanzi M. Crocce L. N. da Costa M. E. S. Pereira C. Davis T. M. Davis J. DeRose S. Desai E. Di Valentino H. T. Diehl S. Dodelson P. Doel C. Doux A. Drlica-Wagner K. Eckert T. F. Eifler F. Elsner J. Elvin-Poole S. Everett X. Fang A. Farahi I. Ferrero A. Ferté B. Flaugher P. Fosalba D. Friedel O. Friedrich J. Frieman J. García-Bellido M. Gatti L. Giani T. Giannantonio G. Giannini D. Gruen R. A. Gruendl J. Gschwend G. Gutierrez N. Hamaus I. Harrison W. G. Hartley K. Herner S. R. Hinton D. L. Hollowood K. Honscheid H. Huang E. M. Huff D. Huterer B. Jain D. J. James M. Jarvis N. Jeffrey T. Jeltema A. Kovacs E. Krause K. Kuehn N. Kuropatkin O. Lahav S. Lee P.-F. Leget P. Lemos C. D. Leonard A. R. Liddle M. Lima H. Lin N. MacCrann J. L. Marshall J. McCullough J. Mena-Fernández F. Menanteau R. Miquel V. Miranda J. J. Mohr J. Muir J. Myles S. Nadathur A. Navarro-Alsina R. C. Nichol R. L. C. Ogando Y. Omori A. Palmese S. Pandey Y. Park M. Paterno F. Paz-Chinchón W. J. Percival A. Pieres A. A. Plazas Malagón A. Porredon J. Prat M. Raveri M. Rodriguez-Monroy P. Rogozenski R. P. Rollins A. K. Romer A. Roodman R. Rosenfeld A. J. Ross E. S. Rykoff S. Samuroff C. Sánchez E. Sanchez J. Sanchez D. Sanchez Cid V. Scarpine D. Scolnic L. F. Secco I. Sevilla-Noarbe E. Sheldon T. Shin M. Smith M. Soares-Santos E. Suchyta M. Tabbutt G. Tarle D. Thomas C. To A. Troja M. A. Troxel I. Tutusaus T. N. Varga M. Vincenzi A. R. Walker N. Weaverdyck R. H. Wechsler J. Weller B. Yanny B. Yin Y. Zhang J. Zuntz Cerro Tololo Inter-American Observatory NSF’s National Optical-Infrared Astronomy Research Laboratory Casilla 603 La Serena Chile Laboratório Interinstitucional de e-Astronomia-LIneA Rua General José Cristino 77 Rio de Janeiro Rio de Janeiro 20921-400 Brazil Argonne National Laboratory 9700 South Cass Avenue Lemont Illinois 60439 USA Department of Physics University of Michigan Ann Arbor Michigan 48109 USA Institute of Astronomy University of Cambridge Madingley Road Cambridge CB3 0HA United Kingdom Kavli Institute for Cosmology University of Cambridge Madingley Road Cambridge CB3 0HA United Kingdom Fermi National Accelerator Laboratory P. O. Box 500 Batavia Illinois 60510 USA Instituto de Fisica Teorica UAM/CSIC Universidad Autonoma de Madrid 28049 Madrid Spain Institute of Cosmology and Gravitation University of Portsmouth Portsmouth PO1 3FX United Kingdom Institute for Astronomy University of Hawai’i 2680 Woodlawn Drive Honolulu Hawaii 96822 USA Physics Department 2320 Chamberlin Hall University of Wisconsin-Madison 1150 University Avenue Madison Wisconsin 53706-1390 USA Department of Physics and Astronomy University of Pennsylvania Philadelphia Pennsylvania 19104 USA Kavli Institute for Particle Astrophysics and Cosmology P. O. Box 2450 Stanford University Stanford California 94305 USA SLAC National Accelerator Laboratory Menlo Park California 94025 USA Department of Physics Northeastern University Boston Massachusetts 02115 USA University Observatory Faculty of Physics Ludwig-Maximilians-Universität Scheinerstrasse 1 81679 Munich Germany Instituto de Física Gleb Wataghin Universidade Estadual de Campinas 13083-859 Campinas São Paulo Brazil Jodrell Bank Center for Astrophysics School of Physics and Astronomy University of Manchester Oxford Road Manchester M13 9PL United Kingdom Department of Physics and Astronomy University College London Gower Street London WC1E 6BT United Kingdom Instituto de Física Teórica Universidade Estadual

We constrain six possible extensions to the Λ cold dark matter (CDM) model using measurements from the Dark Energy Survey’s first three years of observations, alone and in combination with external cosmological probes. The DES data are the two-point correlation functions of weak gravitational lensing, galaxy clustering, and their cross-correlation. We use simulated data vectors and blind analyses of real data to validate the robustness of our results to astrophysical and modeling systematic errors. In many cases, constraining power is limited by the absence of theoretical predictions beyond the linear regime that are reliable at our required precision. The ΛCDM extensions are dark energy with a time-dependent equation of state, nonzero spatial curvature, additional relativistic degrees of freedom, sterile neutrinos with eV-scale mass, modifications of gravitational physics, and a binned σ8(z) model which serves as a phenomenological probe of structure growth. For the time-varying dark energy equation of state evaluated at the pivot redshift we find (wp,wa)=(−0.99−0.17+0.28,−0.9±1.2) at 68% confidence with zp=0.24 from the DES measurements alone, and (wp,wa)=(−1.03−0.03+0.04,−0.4−0.3+0.4) with zp=0.21 for the combination of all data considered. Curvature constraints of Ωk=0.0009±0.0017 and effective relativistic species Neff=3.10−0.16+0.15 are dominated by external data, though adding DES information to external low-redshift probes tightens the Ωk constraints that can be made without cosmic microwave background observables by 20%. For massive sterile neutrinos, DES combined with external data improves the upper bound on the mass meff by a factor of 3 compared to previous analyses, giving 95% limits of (ΔNeff,meff)≤(0.28,0.20 eV) when using priors matching a comparable Planck analysis. For modified gravity, we constrain changes to the lensing and Poisson equations controlled by functions Σ(k,z)=Σ0ΩΛ(z)/ΩΛ,0 and μ(k,z)=μ0ΩΛ(z)/ΩΛ,0, respectively, to Σ0=0.6−0.5+0.4 fro

关键词： Cosmological constant Cosmological parameters Cosmology Dark energy Dark matter Galaxies Large scale structure of the Universe Telescopes

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Comments on recent proposed Cui Et Al.’s KASE and Lu Et Al.’s dIBEKS schemes

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Journal of Information Hiding and Multimedia Signal Processing 2018年第1期9卷 162-169页

作者： Wu, Tsu-Yang Meng, Chao Wang, King-Hang Chen, Chien-Ming Pan, Jeng-Shyang Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian University of Technology No3 Xueyuan Road University Town Fuzhou350118 China National Demonstration Center for Experimental Electronic Information and Electrical Technology Education Fujian University of Technology No3 Xueyuan Road University Town Fuzhou350118 China School of Computer Science and Technology Harbin Institute of Technology Shenzhen Graduate School HIT Campus of University Town of Shenzhen Shenzhen518055 China Department of Computer Science and Engineering Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong

Searchable encryption is a cryptographic primitive used to search an encrypted data in cloud storage. Recently, Cui et al. and Lu et al. proposed two variants of secure searchable encryption schemes, respectively. However, based on our best knowledge we demonstrate that the both schemes are insecure against different types of off-line keyword guessing attacks in this paper. Finally, we make discussions about searchable encryption schemes whether resisting off-line keyword guessing attacks. © 2018, Ubiquitous International. All rights reserved.

关键词： Cloud storage

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DeepZipper II: Searching for Lensed Supernovae in Dark Energy Survey data with Deep Learning

arXiv

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arXiv 2022年

作者： Morgan, Robert Nord, B. Bechtol, K. Möller, A. Hartley, W.G. Birrer, S. González, S.J. Martinez, M. Gruendl, R.A. Buckley-Geer, E.J. Shajib, A.J. Carnero Rosell, A. Lidman, C. Collett, T. Abbott, T.M.C. Aguena, M. Andrade-Oliveira, F. Annis, J. Bacon, D. Bocquet, S. Brooks, D. Burke, D.L. Carrasco Kind, M. Carretero, J. Castander, F.J. Conselice, C. da Costa, L.N. Costanzi, M. De Vicente, J. Desai, S. Doel, P. Everett, S. Ferrero, I. Flaugher, B. Friedel, D. Frieman, J. García-Bellido, J. Gaztanaga, E. Gruen, D. Gutierrez, G. Hinton, S.R. Hollowood, D.L. Honscheid, K. Kuehn, K. Kuropatkin, N. Lahav, O. Lima, M. Menanteau, F. Miquel, R. Palmese, A. Paz-Chinchón, F. Pereira, M.E.S. Pieres, A. Plazas Malagón, A.A. Prat, J. Rodriguez-Monroy, M. Romer, A.K. Roodman, A. Sanchez, E. Scarpine, V. Sevilla-Noarbe, I. Smith, M. Suchyta, E. Swanson, M.E.C. Tarle, G. Thomas, D. Varga, T.N. Physics Department University of Wisconsin-Madison MadisonWI53706 United States Fermi National Accelerator Laboratory P. O. Box 500 BataviaIL60510 United States Legacy Survey of Space and Time Corporation Data Science Fellowship Program United States Kavli Institute for Cosmological Physics University of Chicago ChicagoIL60637 United States Legacy Survey of Space and Time 933 North Cherry Avenue TucsonAZ85721 United States Centre for Astrophysics & Supercomputing Swinburne University of Technology VIC3122 Australia Department of Astronomy University of Geneva ch. d'Ecogia 16 VersoixCH-1290 Switzerland Kavli Institute for Particle Astrophysics and Cosmology Department of Physics Stanford University StanfordCA94305 United States SLAC National Accelerator Laboratory Menlo ParkCA94025 United States Center for Astrophysical Surveys National Center for Supercomputing Applications 1205 West Clark St. UrbanaIL61801 United States Department of Astronomy University of Illinois at Urbana-Champaign 1002 W. Green Street UrbanaIL61801 United States Department of Astronomy and Astrophysics University of Chicago ChicagoIL60637 United States Instituto de Astrofisica de Canarias Tenerife La LagunaE-38205 Spain Laboratório Interinstitucional de e-Astronomia - LIneA Rua Gal. José Cristino 77 RJ Rio de Janeiro20921-400 Brazil Universidad de La Laguna Dpto. Astrofísica Tenerife La LagunaE-38206 Spain Centre for Gravitational Astrophysics College of Science The Australian National University ACT2601 Australia The Research School of Astronomy and Astrophysics The Australian National University ACT2601 Australia Institute of Cosmology and Gravitation University of Portsmouth PortsmouthPO1 3FX United Kingdom Cerro Tololo Inter-American Observatory NSF's National Optical-Infrared Astronomy Research Laboratory Casilla 603 La Serena Chile Department of Physics University of Michigan Ann ArborMI48109 United States University Observatory Faculty of Ph

Gravitationally lensed supernovae (LSNe) are important probes of cosmic expansion, but they remain rare and difficult to find. Current cosmic surveys likely contain 5-10 LSNe in total while next-generation experiments are expected to contain several hundreds to a few thousands of these systems. We search for these systems in observed Dark Energy Survey (DES) 5-year SN fields - 10 3-sq. deg. regions of sky imaged in the griz bands approximately every six nights over five years. To perform the search, we utilize the DeepZipper approach: a multi-branch deep learning architecture trained on image-level simulations of LSNe that simultaneously learns spatial and temporal relationships from time series of images. We find that our method obtains a LSN recall of 61.13% and a false positive rate of 0.02% on the DES SN field data. DeepZipper selected 2,245 candidates from a magnitude-limited (mi Copyright © 2022, The Authors. All rights reserved.

关键词： Supernovae

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Dark energy survey year 3 results: High-precision measurement and modeling of galaxy-galaxy lensing

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Physical Review D 2022年第8期105卷 083528-083528页

作者： J. Prat J. Blazek C. Sánchez I. Tutusaus S. Pandey J. Elvin-Poole E. Krause M. A. Troxel L. F. Secco A. Amon J. DeRose G. Zacharegkas C. Chang B. Jain N. MacCrann Y. Park E. Sheldon G. Giannini S. Bocquet C. To A. Alarcon O. Alves F. Andrade-Oliveira E. Baxter K. Bechtol M. R. Becker G. M. Bernstein H. Camacho A. Campos A. Carnero Rosell M. Carrasco Kind R. Cawthon R. Chen A. Choi J. Cordero M. Crocce C. Davis J. De Vicente H. T. Diehl S. Dodelson C. Doux A. Drlica-Wagner K. Eckert T. F. Eifler F. Elsner S. Everett X. Fang A. Farahi A. Ferté P. Fosalba O. Friedrich M. Gatti D. Gruen R. A. Gruendl I. Harrison W. G. Hartley K. Herner H. Huang E. M. Huff D. Huterer M. Jarvis N. Kuropatkin P.-F. Leget P. Lemos A. R. Liddle J. McCullough J. Muir J. Myles A. Navarro-Alsina A. Porredon M. Raveri M. Rodriguez-Monroy R. P. Rollins A. Roodman R. Rosenfeld A. J. Ross E. S. Rykoff J. Sanchez I. Sevilla-Noarbe T. Shin A. Troja T. N. Varga N. Weaverdyck R. H. Wechsler B. Yanny B. Yin J. Zuntz T. M. C. Abbott M. Aguena S. Allam J. Annis D. Bacon D. Brooks D. L. Burke J. Carretero C. Conselice M. Costanzi L. N. da Costa M. E. S. Pereira S. Desai J. P. Dietrich P. Doel A. E. Evrard I. Ferrero B. Flaugher J. Frieman J. García-Bellido E. Gaztanaga D. W. Gerdes T. Giannantonio J. Gschwend G. Gutierrez S. R. Hinton D. L. Hollowood K. Honscheid D. J. James K. Kuehn O. Lahav H. Lin M. A. G. Maia J. L. Marshall P. Martini P. Melchior F. Menanteau C. J. Miller R. Miquel J. J. Mohr R. Morgan R. L. C. Ogando A. Palmese F. Paz-Chinchón D. Petravick A. A. Plazas Malagón E. Sanchez S. Serrano M. Smith M. Soares-Santos E. Suchyta G. Tarle D. Thomas J. Weller Department of Astronomy and Astrophysics University of Chicago Chicago Illinois 60637 USA Kavli Institute for Cosmological Physics University of Chicago Chicago Illinois 60637 USA Department of Physics Northeastern University Boston Massachusetts 02115 USA Laboratory of Astrophysics École Polytechnique Fédérale de Lausanne (EPFL) Observatoire de Sauverny 1290 Versoix Switzerland Department of Physics and Astronomy University of Pennsylvania Philadelphia Pennsylvania 19104 USA Institut d’Estudis Espacials de Catalunya (IEEC) 08034 Barcelona Spain Institute of Space Sciences (ICE CSIC) Campus UAB Carrer de Can Magrans Sin número 08193 Barcelona Spain Center for Cosmology and Astro-Particle Physics The Ohio State University Columbus Ohio 43210 USA Department of Physics The Ohio State University Columbus Ohio 43210 USA Department of Astronomy/Steward Observatory University of Arizona 933 North Cherry Avenue Tucson Arizona 85721-0065 USA Department of Physics Duke University Durham North Carolina 27708 USA Kavli Institute for Particle Astrophysics and Cosmology P. O. Box 2450 Stanford University Stanford California 94305 USA Lawrence Berkeley National Laboratory 1 Cyclotron Road Berkeley California 94720 USA Department of Applied Mathematics and Theoretical Physics University of Cambridge Cambridge CB3 0WA United Kingdom Kavli Institute for the Physics and Mathematics of the Universe (WPI) UTIAS The University of Tokyo Kashiwa Chiba 277-8583 Japan Brookhaven National Laboratory Building 510 Upton New York 11973 USA Institut de Física d’Altes Energies (IFAE) The Barcelona Institute of Science and Technology Campus UAB 08193 Bellaterra (Barcelona) Spain Faculty of Physics Ludwig-Maximilians-Universität Scheinerstr. 1 81679 Munich Germany Department of Physics Stanford University 382 Via Pueblo Mall Stanford California 94305 USA SLAC National Accelerator Laboratory Menlo Park California 94025 USA Argonne National Laboratory 9700 South Cass A

We present and characterize the galaxy-galaxy lensing signal measured using the first three years of data from the Dark Energy Survey (DES Y3) covering 4132 deg2. These galaxy-galaxy measurements are used in the DES Y3 3×2 pt cosmological analysis, which combines weak lensing and galaxy clustering information. We use two lens samples: a magnitude-limited sample and the redmagic sample, which span the redshift range ∼0.2–1 with 10.7 and 2.6 M galaxies, respectively. For the source catalog, we use the metacalibration shape sample, consisting of ≃100 M galaxies separated into four tomographic bins. Our galaxy-galaxy lensing estimator is the mean tangential shear, for which we obtain a total SNR of ∼148 for maglim (∼120 for redmagic), and ∼67 (∼55) after applying the scale cuts of 6 Mpc/h. Thus we reach percent-level statistical precision, which requires that our modeling and systematic-error control be of comparable accuracy. The tangential shear model used in the 3×2 pt cosmological analysis includes lens magnification, a five-parameter intrinsic alignment model, marginalization over a point mass to remove information from small scales and a linear galaxy bias model validated with higher-order terms. We explore the impact of these choices on the tangential shear observable and study the significance of effects not included in our model, such as reduced shear, source magnification, and source clustering. We also test the robustness of our measurements to various observational and systematics effects, such as the impact of observing conditions, lens-source clustering, random-point subtraction, scale-dependent metacalibration responses, point spread function residuals, and B modes.

关键词： Cosmological parameters Dark energy Dark matter Gravitational lenses Large scale structure of the Universe Optical, UV, & IR astronomy

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Security analysis of Rhee et al.’s public encryption with keyword search schemes: A review

Journal of Network Intelligence

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Journal of Network Intelligence 2018年第1期3卷 16-25页

作者： Wu, Tsu-Yang Chen, Chien-Ming Wang, King-Hang Pan, Jeng-Shyang Zheng, Weimin Chu, Shu-Chuan Roddick, John F. Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian University of Technology No33 Xuefunan Road University Town Fuzhou350118 China National Demonstration Center for Experimental Electronic Information and Electrical Technology Education Fujian University of Technology No33 Xuefunan Road University Town Fuzhou350118 China School of Computer Science and Technology Harbin Institute of Technology Shenzhen HIT Campus of University Town of Shenzhen Shenzhen518055 China Department of Computer Science and Engineering Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong College of Science and Engineering Flinders University Sturt Rd Bedford Park SA5042 Australia

Public key encryption with keyword search (PEKS) provides an efficient way to search encrypted files. Recently, Rhee et al. contributed their knowledge to propose several literatures in this research area. In this paper, we first review their three famous schemes and then summarize the security weaknesses of the three schemes. Finally, we discuss the security problems about Rhee et al. like scheme and remain an open problem. © 2018, Taiwan Ubiquitous Information. All rights reserved.

关键词： Search engines

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LEADER FORMATION WITH MEAN-FIELD BIRTH AND DEATH MODELS

arXiv

引用

arXiv 2018年

作者： Albi, Giacomo Bongini, Mattia Rossi, Francesco Solombrino, Francesco Department of Computer Science University of Verona Str. Le Grazie 15 VeronaIT-37134 Italy Big Data and Marketing Analytics CRIF Via M. Fantin 3 BolognaIT-40131 Italy Department of Mathematics "Tullio Levi-Civita" University of Padova Via Trieste 63 PadovaIT-35121 Italy Department of Mathematics and Applications "R. Caccioppoli" University of Naples "Federico II" Via Cintia Monte S. Angelo NaplesIT-80126 Italy

We provide a mean-field description for a leader-follower dynamics with mass transfer among the two populations. This model allows the transition from followers to leaders and vice versa, with scalar-valued transition rates depending nonlinearly on the global state of the system at each time. We first prove the existence and uniqueness of solutions for the leader-follower dynamics, under suitable assumptions. We then establish, for an appropriate choice of the initial datum, the equivalence of the system with a PDE-ODE system, that consists of a continuity equation over the state space and an ODE for the transition from leader to follower or vice versa. We further introduce a stochastic process approximating the PDE, together with a jump process that models the switch between the two populations. Using a propagation of chaos argument, we show that the particle system generated by these two processes converges in probability to a solution of the PDE-ODE system. Finally, several numerical simulations of social interactions dynamics modeled by our system are *** Codes 35Q82, 35Q91, 70F45, 65M08, 82C22, 82B21 Copyright © 2018, The Authors. All rights reserved.

关键词： Markov processes

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