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World Congress on Computing and Communication Technologies (WCCCT)

作者： P. Dinadayalan S. Jegadeeswari D. Gnanambigai Dept. of Comput. Sci. K.M. Centre for P.G. Studies Puducherry India Department of Computer Science Applications Rajiv Gandhi Arts and Science college Puducherry Department of Computer Science Indira Gandhi College of Arts and Science Puducherry

Cloud computing is an internet based model that enable convenient, on demand and pay per use access to a pool of shared resources. It is a new technology that satisfies a user's requirement for computing resources like networks, storage, servers, services and applications, data security is one of the leading concerns and primary challenges for cloud computing. This issue is getting more serious with the development of cloud computing. From the consumers' perspective, cloud computing security concerns, especially data security and privacy protection issues, remain the primary inhibitor for adoption of cloud computing services. This paper analyses the basic problem of cloud computing and describes the data security and privacy protection issues in cloud.

关键词： Cloud computing data security data privacy Privacy computers Organizations

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Design and Implementation of Health Monitoring System for Solar Panel in IPv6 Network

Design and Implementation of Health Monitoring System for So...

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International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP)

作者： Wen Yen Lin Kuang Po Hsueh Wang Hsin Hsu Liew Gha Yie Wei Chen Tai Dept. of Digital Multimedia Technology Vanung University National Taipei University of Education Dept. of Computer Science and Information Vanung University Taoyuan Taiwan Dept. of Data Processing Ku Pao home economics & commercial high school Taipei Taiwan

In traditional, to manage a lot of solar panels in green power plants is very difficult and inefficient. Because one panel set needs a digital power meter, it is very expensive to use the panel to collect all data. To cope with this problem, we proposed a remote monitoring system of solar panels via IPv6 wireless network, in which the parameters of environment and panel voltage would be sent to the Smart Analysis database System. Then we can monitor the health of the Solar Plant by using the Android mobile platform anywhere and anytime. The administrator not only can use a mobile device to maintain the solar plant and smart home device via IPv6 Network without NAT transformation, but also receive the message immediately when the status of solar panel or home device is abnormal.

关键词： Voltage measurement Monitoring Photovoltaic cells Smart phones Relays Battery charge measurement

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WHAT IS THE RIGHT CENTER/SURROUND FOR RETINEX?

WHAT IS THE RIGHT CENTER/SURROUND FOR RETINEX?

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IEEE International Conference on Image Processing

作者： Jean-Michel Morel Ana Belen Petro Catalina Sbert Centre de mathematiques et leur applications ENS Cachan Paris France Dept. Mathematics and Computer Science Univ. Illes Balears Palma de Mallorca Spain

In this work we propose to analyze the formal properties of the center/surround versions of Retinex. Our main goal is to clarify what the "best" surround should be. Two conditions are sound or necessary from an image theoretical viewpoint: scale invariance and integrability. Then, we present a new kernel, which finds an acceptable compromise between these two conditions. This new kernel is compared with different kernels obtained from some center-surround methods.

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Towards continuous and passive authentication via touch biometrics: an experimental study on smartphones 14

Towards continuous and passive authentication via touch biom...

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Proceedings of the Tenth USENIX Conference on Usable Privacy and Security

作者： Hui Xu Yangfan Zhou Michael R. Lyu Shenzhen Key Laboratory of Rich Media Big Data Analytics and Applications Shenzhen Research Institute The Chinese University of Hong Kong Shenzhen Key Laboratory of Rich Media Big Data Analytics and Applications Shenzhen Research Institute The Chinese University of Hong Kong and MoE Key Laboratory of High Confidence Software Technologies (CUHK Sub-Lab) Shenzhen Key Laboratory of Rich Media Big Data Analytics and Applications Shenzhen Research Institute The Chinese University of Hong Kong and Dept. of Computer Science & Engineering The Chinese University of Hong Kong

ISBN: (纸本)9781931971133

Current smartphones generally cannot continuously authenticate users during runtime. This poses severe security and privacy threats: A malicious user can manipulate the phone if bypassing the screen lock. To solve this problem, our work adopts a continuous and passive authentication mechanism based on a user's touch operations on the touchscreen. Such a mechanism is suitable for smartphones, as it requires no extra hardware or intrusive user interface. We study how to model multiple types of touch data and perform continuous authentication accordingly. As a first attempt, we also investigate the fundamentals of touch operations as biometrics by justifying their distinctiveness and permanence. A one-month experiment is conducted involving over 30 users. Our experiment results verify that touch biometrics can serve as a promising method for continuous and passive authentication.

关键词： smartphone touch biometrics continuous authentication

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Web-based recording and visualization framework for moving trajectories 26

Web-based recording and visualization framework for moving t...

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26th Conference on Computational Linguistics and Speech Processing, ROCLING 2014

作者： Yang, Po-An Chi, LiJung Chuang, Kun-Ta Chen, Seth Tsai, Jonathan Ku, Yung-Chung Dept. of Computer Science and Information Engineering National Cheng Kung University Tainan Taiwan Innovative DigiTech-Enabled Applications & Services Institute IDEAS Institute for Information Industry Taipei Taiwan

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MASS CALIBRATION OF OPTICALLY SELECTED DES CLUSTERS USING A MEASUREMENT OF CMB-CLUSTER LENSING WITH SPTpol data

arXiv

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arXiv 2018年

作者： Raghunathan, S. Patil, S. Baxter, E. Benson, B.A. Bleem, L.E. Chou, T.L. Crawford, T.M. Holder, G.P. McClintock, T. Reichardt, C.L. Rozo, E. Varga, T.N. Abbott, T.M.C. Ade, P.A.R. Allam, S. Anderson, A.J. Annis, J. Austermann, J.E. Avila, S. Beall, J.A. Bechtol, K. Bender, A.N. Bernstein, G. Bertin, E. Bianchini, F. Brooks, D. Burke, D.L. Carlstrom, J.E. Carretero, J. Chang, C.L. Chiang, H.C. Cho, H.-M. Citron, R. Crites, A.T. Cunha, C.E. da Costa, L.N. Davis, C. Desai, S. Diehl, H.T. Dietrich, J.P. Dobbs, M.A. Doel, P. Eifler, T.F. Everett, W. Evrard, A.E. Flaugher, B. Fosalba, P. Frieman, J. Gallicchio, J. García-Bellido, J. Gaztanaga, E. George, E.M. Gilbert, A. Gruen, D. Gruendl, R.A. Gschwend, J. Gupta, N. Gutierrez, G. de Haan, T. Halverson, N.W. Harrington, N. Hartley, W.G. Henning, J.W. Hilton, G.C. Hollowood, D.L. Holzapfel, W.L. Honscheid, K. Hou, Z. Hoyle, B. Hrubes, J.D. Huang, N. Hubmayr, J. Irwin, K.D. James, D.J. Jeltema, T. Kim, A.G. Carrasco Kind, M. Knox, L. Kovacs, A. Kuehn, K. Kuropatkin, N. Lee, A.T. Li, T.S. Lima, M. Maia, M.A.G. Marshall, J.L. McMahon, J.J. Melchior, P. Menanteau, F. Meyer, S.S. Miller, C.J. Miquel, R. Mocanu, L. Montgomery, J. Nadolski, A. Natoli, T. Nibarger, J.P. Novosad, V. Padin, S. Plazas, A.A. Pryke, C. Rapetti, D. Romer, A.K. Carnero Rosell, A. Ruhl, J.E. Saliwanchik, B.R. Sanchez, E. Sayre, J.T. Scarpine, V. Schaffer, K.K. Schubnell, M. Serrano, S. Sevilla-Noarbe, I. Smecher, G. Smith, R.C. Soares-Santos, M. Sobreira, F. Stark, A.A. Story, K.T. Suchyta, E. Swanson, M.E.C. Tarle, G. Thomas, D. Tucker, C. Vanderlinde, K. de Vicente, J. Vieira, J.D. Wang, G. Whitehorn, N. Wu, W.L.K. Zhang, Y. School of Physics University of Melbourne ParkvilleVIC3010 Australia Department of Physics and Astronomy University of California Los AngelesCA90095 United States Department of Physics and Astronomy University of Pennsylvania PhiladelphiaPA19104 United States Fermi National Accelerator Laboratory MS209 P.O. Box 500 BataviaIL60510 United States Kavli Institute for Cosmological Physics University of Chicago 5640 South Ellis Avenue ChicagoIL60637 United States Department of Astronomy and Astrophysics University of Chicago 5640 South Ellis Avenue ChicagoIL60637 United States High Energy Physics Division Argonne National Laboratory 9700 S. Cass Avenue ArgonneIL60439 United States Department of Physics University of Chicago ChicagoIL60637 United States Department of Physics McGill University 3600 Rue University MontrealQCH3A 2T8 Canada Canadian Institute for Advanced Research CIFAR Program in Cosmology and Gravity TorontoONM5G 1Z8 Canada Department of Physics University of Arizona TucsonAZ85721 United States Max Planck Institute for Extraterrestrial Physics Giessenbachstrasse Garching85748 Germany Universitäts-Sternwarte Fakultät für Physik LudwigMaximilians Universität München Scheinerstr. 1 München81679 Germany Cerro Tololo Inter-American Observatory National Optical Astronomy Observatory Casilla 603 La Serena Chile Cardiff University CardiffCF10 3XQ United Kingdom Fermi National Accelerator Laboratory P. O. Box 500 BataviaIL60510 United States NIST Quantum Devices Group 325 Broadway Mailcode 817.03 BoulderCO80305 United States Institute of Cosmology & Gravitation University of Portsmouth PortsmouthPO1 3FX United Kingdom LSST 933 North Cherry Avenue TucsonAZ85721 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 Department of Physics & Astronomy University College London Gower

We use cosmic microwave background (CMB) temperature maps from the 500 deg2 SPTpol survey to measure the stacked lensing convergence of galaxy clusters from the Dark Energy Survey (DES) Year-3 redMaPPer (RM) cluster catalog. The lensing signal is extracted through a modified quadratic estimator designed to be unbiased by the thermal Sunyaev-Zel’dovich (tSZ) effect. The modified estimator uses a tSZ-free map, constructed from the SPTpol 95 and 150 GHz datasets, to estimate the background CMB gradient. For lensing reconstruction, we employ two versions of the RM catalog: a flux-limited sample containing 4003 clusters and a volume-limited sample with 1741 clusters. We detect lensing at a significance of 8.7σ(6.7σ) with the flux(volume)-limited sample. By modeling the reconstructed convergence using the Navarro-Frenk-White profile, we find the average lensing masses to be M200m = (1.62+0−0..3225 [stat.] ± 0.04 [sys.]) and (1.28+0−0..1418 [stat.] ± 0.03 [sys.]) ×1014 M☉ for the volume- and flux-limited samples respectively. The systematic error budget is much smaller than the statistical uncertainty and is dominated by the uncertainties in the RM cluster centroids. We use the volume-limited sample to calibrate the normalization of the mass-richness scaling relation, and find a result consistent with the galaxy weak-lensing measurements from DES (McClintock et al. 2018). Copyright © 2018, The Authors. All rights reserved.

关键词： Galaxies

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Dark Energy Survey year 1 results: Cosmological constraints from galaxy clustering and weak lensing

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Physical Review D 2018年第4期98卷 043526-043526页

作者： T. M. C. Abbott F. B. Abdalla A. Alarcon J. Aleksić S. Allam S. Allen A. Amara J. Annis J. Asorey S. Avila D. Bacon E. Balbinot M. Banerji N. Banik W. Barkhouse M. Baumer E. Baxter K. Bechtol M. R. Becker A. Benoit-Lévy B. A. Benson G. M. Bernstein E. Bertin J. Blazek S. L. Bridle D. Brooks D. Brout E. Buckley-Geer D. L. Burke M. T. Busha A. Campos D. Capozzi A. Carnero Rosell M. Carrasco Kind J. Carretero F. J. Castander R. Cawthon C. Chang N. Chen M. Childress A. Choi C. Conselice R. Crittenden M. Crocce C. E. Cunha C. B. D’Andrea L. N. da Costa R. Das T. M. Davis C. Davis J. De Vicente D. L. DePoy J. DeRose S. Desai H. T. Diehl J. P. Dietrich S. Dodelson P. Doel A. Drlica-Wagner T. F. Eifler A. E. Elliott F. Elsner J. Elvin-Poole J. Estrada A. E. Evrard Y. Fang E. Fernandez A. Ferté D. A. Finley B. Flaugher P. Fosalba O. Friedrich J. Frieman J. García-Bellido M. Garcia-Fernandez M. Gatti E. Gaztanaga D. W. Gerdes T. Giannantonio M. S. S. Gill K. Glazebrook D. A. Goldstein D. Gruen R. A. Gruendl J. Gschwend G. Gutierrez S. Hamilton W. G. Hartley S. R. Hinton K. Honscheid B. Hoyle D. Huterer B. Jain D. J. James M. Jarvis T. Jeltema M. D. Johnson M. W. G. Johnson T. Kacprzak S. Kent A. G. Kim A. King D. Kirk N. Kokron A. Kovacs E. Krause C. Krawiec A. Kremin K. Kuehn S. Kuhlmann N. Kuropatkin F. Lacasa O. Lahav T. S. Li A. R. Liddle C. Lidman M. Lima H. Lin N. MacCrann M. A. G. Maia M. Makler M. Manera M. March J. L. Marshall P. Martini R. G. McMahon P. Melchior F. Menanteau R. Miquel V. Miranda D. Mudd J. Muir A. Möller E. Neilsen R. C. Nichol B. Nord P. Nugent R. L. C. Ogando A. Palmese J. Peacock H. V. Peiris J. Peoples W. J. Percival D. Petravick A. A. Plazas A. Porredon J. Prat A. Pujol M. M. Rau A. Refregier P. M. Ricker N. Roe R. P. Rollins A. K. Romer A. Roodman R. Rosenfeld A. J. Ross E. Rozo E. S. Rykoff M. Sako A. I. Salvador S. Samuroff C. Sánchez E. Sanchez B. Santiago V. Scarpine R. Schindler D. Scolnic L. F. Secco S. Serrano I. Sevilla-Noarbe E. Sheldon R. C. Smith M. Smith J. Smith M. Soares-Santo Cerro Tololo Inter-American Observatory National Optical Astronomy Observatory Casilla 603 La Serena Chile Department of Physics and Electronics Rhodes University P.O. Box 94 Grahamstown 6140 South Africa Department of Physics & Astronomy University College London Gower Street London WC1E 6BT United Kingdom Institute of Space Sciences IEEC-CSIC Campus UAB Carrer de Can Magrans s/n 08193 Barcelona Spain Institut de Física d’Altes Energies (IFAE) The Barcelona Institute of Science and Technology Campus UAB 08193 Bellaterra (Barcelona) Spain Fermi National Accelerator Laboratory P.O. Box 500 Batavia Illinois 60510 USA Department of Physics Stanford University 382 Via Pueblo Mall Stanford California 94305 USA Department of Physics ETH Zurich Wolfgang-Pauli-Strasse 16 CH-8093 Zurich Switzerland School of Mathematics and Physics University of Queensland Brisbane QLD 4072 Australia ARC Centre of Excellence for All-sky Astrophysics (CAASTRO) Institute of Cosmology & Gravitation University of Portsmouth Portsmouth PO1 3FX United Kingdom Instituto de Fisica Teorica UAM/CSIC Universidad Autonoma de Madrid 28049 Madrid Spain Department of Physics University of Surrey Guildford GU2 7XH United Kingdom 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 University of North Dakota Department of Physics and Astrophysics Witmer Hall Grand Forks North Dakota 58202 USA Kavli Institute for Particle Astrophysics & Cosmology P.O. Box 2450 Stanford University Stanford California 94305 USA SLAC National Accelerator Laboratory Menlo Park California 94025 USA Department of Physics and Astronomy University of Pennsylvania Philadelphia Pennsylvania 19104 USA LSST 933 North Cherry Avenue Tucson Arizona 85721 USA CNRS UMR 7095 Institut d’Astrophysique de Paris F-75014 Paris France Sorbonne Universités UPMC Univ Paris 06

We present cosmological results from a combined analysis of galaxy clustering and weak gravitational lensing, using 1321 deg2 of griz imaging data from the first year of the Dark Energy Survey (DES Y1). We combine three two-point functions: (i) the cosmic shear correlation function of 26 million source galaxies in four redshift bins, (ii) the galaxy angular autocorrelation function of 650,000 luminous red galaxies in five redshift bins, and (iii) the galaxy-shear cross-correlation of luminous red galaxy positions and source galaxy shears. To demonstrate the robustness of these results, we use independent pairs of galaxy shape, photometric-redshift estimation and validation, and likelihood analysis pipelines. To prevent confirmation bias, the bulk of the analysis was carried out while “blind” to the true results; we describe an extensive suite of systematics checks performed and passed during this blinded phase. The data are modeled in flat ΛCDM and wCDM cosmologies, marginalizing over 20 nuisance parameters, varying 6 (for ΛCDM) or 7 (for wCDM) cosmological parameters including the neutrino mass density and including the 457×457 element analytic covariance matrix. We find consistent cosmological results from these three two-point functions and from their combination obtain S8≡σ8(Ωm/0.3)0.5=0.773−0.020+0.026 and Ωm=0.267−0.017+0.030 for ΛCDM; for wCDM, we find S8=0.782−0.024+0.036, Ωm=0.284−0.030+0.033, and w=−0.82−0.20+0.21 at 68% C.L. The precision of these DES Y1 constraints rivals that from the Planck cosmic microwave background measurements, allowing a comparison of structure in the very early and late Universe on equal terms. Although the DES Y1 best-fit values for S8 and Ωm are lower than the central values from Planck for both ΛCDM and wCDM, the Bayes factor indicates that the DES Y1 and Planck data sets are consistent with each other in the context of ΛCDM. Combining DES Y1 with Planck, baryonic acoustic oscillation measurements from SDSS, 6dF, and BOSS and

关键词： Dark energy Evolution of the Universe

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OpenSim: A Simulator of OpenStack Services

OpenSim: A Simulator of OpenStack Services

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Asia International Conference on Modeling & Simulation

作者： Dinkar Sitaram Phalachandra Hallymysore Sudheendra Harwalkar Supriya Kathare Anirudh Srinivasan Archana Reddy Konark Kumar Sahana Sekhar Department of Computer Science and Engineering PES University Center for Cloud Computing and Big Data Bangalore India Dept. of Comput. Sci. & Eng. PES Univ. Bangalore Bangalore India

Cloud Computing is still an emerging field experiencing rapid advancement in both industry and academia. Cloud computing has solved many problems initially faced by internet application developers such as acquisition of a server with a fixed capacity to handle expected peak application demand which led to under-utilization of provisioned resources, by enabling a new consumption and delivery model for IT services. It involves provisioning of dynamically scalable and virtualized resources as a service over the Internet. Evaluation of algorithms and policies in an exhaustive manner directly on a cloud is infeasible as it involves a lot of time and effort. Moreover, utilization of real cloud infrastructure limits the experiment to the scale of the infrastructure. A desirable alternative would be utilization of simulation tools that enables evaluation of a hypothesis in a repeatable, controlled and timely manner prior to software development in a cloud environment. Taking into consideration these issues and the ever-growing popularity of OpenStack, in this paper we propose OpenSim a simulator of OpenStack services. It has been developed by the authors of this paper with the intention of simulating new algorithms and also to enable a user to study the behavior of an application running under various deployment configuration in an OpenStack environment.

关键词： Virtual machining Servers Computational modeling Cloud computing Neutrons IP networks Scheduling algorithms

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Combining parametric and nonparametric topic model to discover microblog event

Combining parametric and nonparametric topic model to discov...

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International Conference on Information science, Electronics and Electrical Engineering (ISEEE)

作者： Shengbing Liu Li Liu Ruzhong Cheng Peking University Beijing Beijing CN Dept. of Electronic and Computer Engineering South University of Science and Technology of China Shenzhen P.R. China Shenzhen Key Lab for Cloud Computing Technology & Applications (SPCCTA) Peking University Shenzhen P.R. China

Compared with traditional news media, microblog holds overwhelming superiority in fast-diffusion and comprehensive coverage of topics. Microblog becomes an effective, particular and important carrier of affair information and many other text analysis tasks, e.g., event discovering based on microblog have special significance. Common tools of content analysis, such as topic model, however, experience severe data sparsity problems due to short length of microblog. Following previous researchers' idea, such as separating personal interest post from global event post, we further differentiate general topics from event topics and adopt nonparametric method to model the birth and death of event. We conduct experiments on Twitter data set, and the experimental results demonstrate that our method can not only discover event effectively, but also mine higher quality general topics.

关键词： Computational modeling Educational institutions Coherence Media data models Twitter Computational linguistics

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Dark energy survey year 1 results: Methodology and projections for joint analysis of galaxy Clustering, galaxy lensing, and CMB lensing two-point functions

arXiv

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arXiv 2018年

作者： Baxter, E.J. Omori, Y. Chang, C. Giannantonio, T. Kirk, D. Krause, E. Blazek, J. Bleem, L. Choi, A. Crawford, T.M. Dodelson, S. Gruen, D. Holder, G.P. Jain, B. Jarvis, M. MacCrann, N. Nicola, A. Pandey, S. Prat, J. Samuroff, S. Sánchez, C. Sheldon, E. Troxel, M.A. Zuntz, J. Abbott, T.M.C. Abdalla, F.B. Annis, J. Avila, S. Bechtol, K. Bertin, E. Brooks, D. Buckley-Geer, E. Burke, D.L. Rosell, A. Carnero Kind, M. Carrasco Carretero, J. Castander, F.J. Cawthon, R. Cunha, C.E. D'Andrea, C.B. Da Costa, L.N. Davis, C. De Vicente, J. DePoy, D.L. Diehl, H.T. Doel, P. Eifler, T.F. Estrada, J. Evrard, A.E. Flaugher, B. Fosalba, P. Frieman, J. García-Bellido, J. Gaztanaga, E. Gerdes, D.W. Gruendl, R.A. Gschwend, J. Gutierrez, G. Hartley, W.G. Hollowood, D. Hoyle, B. James, D.J. Kent, S. Kuehn, K. Kuropatkin, N. Lahav, O. Lima, M. Maia, M.A.G. March, M. Marshall, J.L. Melchior, P. Menanteau, F. Miquel, R. Plazas, A.A. Roodman, A. Rykoff, E.S. Sanchez, E. Schindler, R. Schubnell, M. Sevilla-Noarbe, I. Smith, M. Smith, R.C. Soares-Santos, M. Sobreira, F. Suchyta, E. Swanson, M.E.C. Tarle, G. Walker, A.R. Weller, J. Department of Physics and Astronomy University of Pennsylvania PhiladelphiaPA19104 United States Kavli Institute for Particle Astrophysics and Cosmology Stanford University 452 Lomita Mall StanfordCA94305 United States Dept. of Physics Stanford University 382 Via Pueblo Mall StanfordCA94305 United States Department of Physics McGill Space Institute McGill University MontrealQCH3A 2T8 Canada Kavli Institute for Cosmological Physics University of Chicago ChicagoIL60637 United States Institute of Astronomy University of Cambridge Madingley Road CambridgeCB3 0HA United Kingdom Kavli Institute for Cosmology University of Cambridge Madingley Road CambridgeCB3 0HA United Kingdom Universitäts-Sternwarte Fakultät für Physik Ludwig-Maximilians Universität München Scheinerstr. 1 München81679 Germany Department of Physics & Astronomy University College London Gower Street LondonWC1E 6BT United Kingdom Department of Astronomy/Steward Observatory 933 North Cherry Avenue TucsonAZ85721-0065 United States Jet Propulsion Laboratory California Institute of Technology 4800 Oak Grove Dr. PasadenaCA91109 United States Center for Cosmology and Astro-Particle Physics Ohio State University ColumbusOH43210 United States Observatoire de Sauverny Versoix1290 Switzerland Department of Physics University of Chicago 5640 South Ellis Avenue ChicagoIL60637 United States Argonne National Laboratory 9700 South Cass Avenue LemontIL60439 United States Scottish Universities Physics Alliance Institute for Astronomy University of Edinburgh Royal Observatory Blackford Hill EdinburghEH9 3HJ United Kingdom Center for Cosmology and AstroParticle Physics Ohio State University 191 West Woodruff Avenue ColumbusOH43210 United States Department of Astronomy and Astrophysics University of Chicago ChicagoIL60637 United States Observatories of the Carnegie Institution of Washington 813 Santa Barbara St. PasadenaCA91101 United States Kavli Institute for Particle

Optical imaging surveys measure both the galaxy density and the gravitational lensing-induced shear fields across the sky. Recently, the Dark Energy Survey (DES) collaboration used a joint fit to two-point correlations between these observables to place tight constraints on cosmology (DES Collaboration et al. 2018). In this work, we develop the methodology to extend the DES year one joint probes analysis to include cross-correlations of the optical survey observables with gravitational lensing of the cosmic microwave background (CMB) as measured by the South Pole Telescope (SPT) and Planck. Using simulated analyses, we show how the resulting set of five two-point functions increases the robustness of the cosmological constraints to systematic errors in galaxy lensing shear calibration. Additionally, we show that contamination of the SPT+Planck CMB lensing map by the thermal Sunyaev-Zel'dovich effect is a potentially large source of systematic error for two-point function analyses, but show that it can be reduced to acceptable levels in our analysis by masking clusters of galaxies and imposing angular scale cuts on the two-point functions. The methodology developed here will be applied to the analysis of data from the DES, the SPT, and Planck in a companion work. Copyright © 2018, The Authors. All rights reserved.

关键词： Galaxies

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