Wide-field lensing mass maps from Dark Energy Survey science verification data: methodology and detailed analysis

Autor: I. Sevilla, A. Benoit-Lévy, Joe Zuntz, H. T. Diehl, David Bacon, A. H. Bauer, Ramon Miquel, K. Honscheid, V. Scarpine, Eli S. Rykoff, E. Bertin, K. W. Merritt, G. Tarle, Francisco J. Castander, A. Kovács, Eric H. Neilsen, Gary Bernstein, A. K. Romer, B. Flaugher, Darren L. DePoy, Martin Crocce, C. B. D'Andrea, Paul Martini, A. Carnero Rosell, Sarah Bridle, William G. Hartley, Chihway Chang, Huan Lin, Alistair R. Walker, A. Fausti Neto, Kyler Kuehn, Juan Estrada, Marcelle Soares-Santos, Steve Kent, Boris Leistedt, Matthew R. Becker, Flavia Sobreira, E. Fernandez, J. P. Dietrich, N. Kuropatkin, Jochen Weller, D. L. Burke, Daniel Gruen, Christopher J. Miller, Jennifer L. Marshall, Vinu Vikram, C. Bonnett, T. M. C. Abbott, Robert A. Gruendl, Shantanu Desai, D. W. Gerdes, L. N. da Costa, A. A. Plazas, Hiranya V. Peiris, Diego Capozzi, E. J. Sanchez, Michael Troxel, P. Fosalba, Daniel Thomas, E. Buckley-Geer, Carlos Cunha, D. J. Brout, Eduardo Rozo, T. Kacprzak, F. B. Abdalla, M. T. Busha, M. March, Adam Amara, Matt J. Jarvis, Ofer Lahav, David J. Brooks, Robert Connon Smith, Robert Armstrong, Brian Nord, D. James, Martin Makler, E. Suchyta, August E. Evrard, J. J. Thaler, Bhuvnesh Jain, M. A. G. Maia, Peter Melchior, Ricardo L. C. Ogando, Erin Sheldon, Risa H. Wechsler, M. E. C. Swanson, M. Carrasco Kind, Tianjun Li, Robert C. Nichol, M. Banerji, Joshua A. Frieman, A. Roodman, Carles Sanchez, Enrique Gaztanaga
Jazyk: angličtina
Rok vydání: 2015
Předmět:
Zdroj: Vikram, V, Chang, C, Jain, B, Bacon, D, Amara, A, Becker, M, Bernstein, G, Bonnett, C, Bridle, S, Brout, D, Busha, M, Frieman, J, Gaztanaga, E, Hartley, W, Jarvis, M, Kacprzak, T, Lahav, O, Leistedt, B, Lin, H, Melchior, P, Peiris, H, Rozo, E, Rykoff, E, Sanchez, C, Sheldon, E, Troxel, M, Wechsler, R, Zuntz, J, Abbott, T, Abdalla, F B, Armstrong, R, Banerji, M, Bauer, A H, Benoit-Levy, A, Bertin, E, Brooks, D, Buckley-Geer, E, Burke, D L, Capozzi, D, Rosell, A C, Kind, M C, Castander, F J, Crocce, M, D'Andrea, C B, Costa, L N D, DePoy, D L, Desai, S, Diehl, H T, Dietrich, J P, Cunha, C E, Estrada, J, Evrard, A E, Neto, A F, Fernandez, E, Flaugher, B, Fosalba, P, Gerdes, D, Gruen, D, Gruendl, R A, Honscheid, K, James, D, Kent, S, Kuehn, K, Kuropatkin, N, Li, T S, Maia, M A G, Makler, M, March, M, Marshall, J, Martini, P, Merritt, K W, Miller, C J, Miquel, R, Neilsen, E, Nichol, R C, Nord, B, Ogando, R, Plazas, A A, Romer, A K, Roodman, A, Sanchez, E, Scarpine, V, Sevilla, I, Smith, R C, Soares-Santos, M, Sobreira, F, Suchyta, E, Swanson, M E C, Tarle, G, Thaler, J, Thomas, D, Walker, A R & Weller, J 2015, ' Wide-field lensing mass maps from Dark Energy Survey science verification data : methodology and detailed analysis ', Physical Review D, vol. 92, no. 2, 022006, pp. 022006 . https://doi.org/10.1103/PhysRevD.92.022006
ISSN: 1550-7998
DOI: 10.1103/PhysRevD.92.022006
Popis: Weak gravitational lensing allows one to reconstruct the spatial distribution of the projected mass density across the sky. These "mass maps" provide a powerful tool for studying cosmology as they probe both luminous and dark matter. In this paper, we present a weak lensing mass map reconstructed from shear measurements in a 139 deg2 area from the Dark Energy Survey (DES) Science Verification (SV) data overlapping with the South Pole Telescope survey. We compare the distribution of mass with that of the foreground distribution of galaxies and clusters. The overdensities in the reconstructed map correlate well with the distribution of optically detected clusters. Cross-correlating the mass map with the foreground galaxies from the same DES SV data gives results consistent with mock catalogs that include the primary sources of statistical uncertainties in the galaxy, lensing, and photo-z catalogs. The statistical significance of the cross-correlation is at the 6.8 sigma level with 20 arcminute smoothing. A major goal of this study is to investigate systematic effects arising from a variety of sources, including PSF and photo-z uncertainties. We make maps derived from twenty variables that may characterize systematics and find the principal components. We find that the contribution of systematics to the lensing mass maps is generally within measurement uncertainties. We test and validate our results with mock catalogs from N-body simulations. In this work, we analyze less than 3% of the final area that will be mapped by the DES; the tools and analysis techniques developed in this paper can be applied to forthcoming larger datasets from the survey.
Databáze: OpenAIRE
Externí odkaz: