Cross-correlation of gravitational lensing from DES Science Verification data with SPT and Planck lensing

U.S. Department of Energy U.S. National Science Foundation Ministry of Science and Education of Spain Science and Technology Facilities Council of the United Kingdom Higher Education Funding Council for England National Center for Supercomputing Applications at the University of Illinois at Urbana-C...

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Bibliographic Details
Published in:Monthly Notices of the Royal Astronomical Society
Main Authors: Kirk, D., Omori, Y., Benoit-Levy, A., Cawthon, R., Chang, C., Larsen, P., Amara, A., Bacon, D., Crawford, T. M., Dodelson, S., Fosalba, P., Giannantonio, T., Holder, G., Jain, B., Kacprzak, T., Lahav, O., MacCrann, N., Nicola, A., Refregier, A., Sheldon, E., Story, K. T., Troxel, M. A., Vieira, J. D., Vikram, V., Zuntz, J., Abbott, T. M. C., Abdalla, F. B., Becker, M. R., Benson, B. A., Bernstein, G. M., Bernstein, R. A., Bleem, L. E., Bonnett, C., Bridle, S. L., Brooks, D., Buckley-Geer, E., Burke, D. L., Capozzi, D., Carlstrom, J. E., Carnero Rosell, A., Kind, M. Carrasco, Carretero, J., Crocce, M., Cunha, C. E., D'Andrea, C. B., Costa, L. N. da, Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Eifler, T. F., Evrard, A. E., Flaugher, B., Frieman, J., Gerdes, D. W., Goldstein, D. A., Gruen, D., Gruendl, R. A., Honscheid, K., James, D. J., Jarvis, M., Kent, S., Kuehn, K., Kuropatkin, N., Lima, M., March, M., Martini, P., Melchior, P., Miller, C. J., Miquel, R., Nichol, R. C., Ogando, R., Plazas, A. A., Reichardt, C. L., Roodman, A., Rozo, E., Rykoff, E. S., Sako, M., Sanchez, E., Scarpine, V., Schubnell, M., Sevilla-Noarbe, I., Simard, G., Smith, R. C., Soares-Santos, M., Sobreira, F., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Wechsler, R. H., Weller, J.
Other Authors: Universidade Estadual Paulista (UNESP)
Format: Article in Journal/Newspaper
Language:English
Published: Oxford Univ Press 2016
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Online Access:http://hdl.handle.net/11449/161525
https://doi.org/10.1093/mnras/stw570
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Summary:U.S. Department of Energy U.S. National Science Foundation Ministry of Science and Education of Spain Science and Technology Facilities Council of the United Kingdom Higher Education Funding Council for England National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign Kavli Institute of Cosmological Physics at the University of Chicago Center for Cosmology and Astro-Particle Physics at the Ohio State University Mitchell Institute for Fundamental Physics and Astronomy at Texas AM University Financiadora de Estudos e Projetos Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ) Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Ministerio da Ciencia, Tecnologia e Inovacao Deutsche Forschungsgemeinschaft Argonne National Laboratory University of California at Santa Cruz University of Cambridge Centro de Investigaciones Energeticas, Medioambientales y Tecnologicas-Madrid University of Chicago University College London DES-Brazil Consortium University of Edinburgh Eidgenossische Technische Hochschule (ETH) Zurich Fermi National Accelerator Laboratory University of Illinois at Urbana-Champaign Institut de Ciencies de l'Espai (IEEC/CSIC) Institut de Fisica d'Altes Energies, Lawrence Berkeley National Laboratory Ludwig-Maximilians Universitat Munchen associated Excellence Cluster Universe University of Michigan National Optical Astronomy Observatory University of Nottingham Ohio State University University of Pennsylvania University of Portsmouth SLAC National Accelerator Laboratory, Stanford University University of Sussex Texas AM University National Science Foundation MINECO Centro de Excelencia Severo Ochoa European Research Council under the European Union ERC NSF Physics Frontier Center Kavli Foundation Gordon and Betty Moore Foundation European Research Council CNES Royal Society of New Zealand Rutherford Foundation Trust Cambridge Commonwealth Trust University of Melbourne DOE ICREA Science and Technology Facilities Council National Science Foundation: AST-1138766 National Science Foundation: PLR-1248097 MINECO: AYA2012-39559 MINECO: ESP2013-48274 MINECO: FPA2013-47986 Centro de Excelencia Severo Ochoa: SEV-2012-0234 ERC: 240672 ERC: 291329 ERC: 306478 NSF Physics Frontier Center: PHY-0114422 Gordon and Betty Moore Foundation: 947 European Research Council: FP7/291329 DOE: DE-AC02-98CH10886 Science and Technology Facilities Council: ST/K00090X/1 Science and Technology Facilities Council: ST/N000668/1 Science and Technology Facilities Council: ST/L000768/1 Science and Technology Facilities Council: ST/M001334/1 We measure the cross-correlation between weak lensing of galaxy images and of the cosmic microwave background (CMB). The effects of gravitational lensing on different sources will be correlated if the lensing is caused by the same mass fluctuations. We use galaxy shape measurements from 139 deg(2) of the Dark Energy Survey (DES) Science Verification data and overlapping CMB lensing from the South Pole Telescope (SPT) and Planck. The DES source galaxies have a median redshift of z(med) similar to 0.7, while the CMB lensing kernel is broad and peaks at z similar to 2. The resulting cross-correlation is maximally sensitive to mass fluctuations at z similar to 0.44. Assuming the Planck 2015 best-fitting cosmology, the amplitude of the DESxSPT cross-power is found to be A(SPT) = 0.88 +/- 0.30 and that from DESxPlanck to be A(Planck) = 0.86 +/- 0.39, where A = 1 corresponds to the theoretical prediction. These are consistent with the expected signal and correspond to significances of 2.9 sigma and 2.2 sigma, respectively. We demonstrate that our results are robust to a number of important systematic effects including the shear measurement method, estimator choice, photo-z uncertainty and CMB lensing systematics. We calculate a value of A = 1.08 +/- 0.36 for DESxSPT when we correct the observations with a simple intrinsic alignment model. With three measurements of this cross-correlation now existing in the literature, there is not yet reliable evidence for any deviation from the expected LCDM level of cross-correlation. We provide forecasts for the expected signal-to-noise ratio of the combination of the five-year DES survey and SPT-3G.