359 results on '"Rozo, E."'
Search Results
152. Comparing Dark Energy Survey andHST–CLASH observations of the galaxy cluster RXC J2248.7−4431: implications for stellar mass versus dark matter
- Author
-
Palmese, A., primary, Lahav, O., additional, Banerji, M., additional, Gruen, D., additional, Jouvel, S., additional, Melchior, P., additional, Aleksić, J., additional, Annis, J., additional, Diehl, H. T., additional, Hartley, W. G., additional, Jeltema, T., additional, Romer, A. K., additional, Rozo, E., additional, Rykoff, E. S., additional, Seitz, S., additional, Suchyta, E., additional, Zhang, Y., additional, Abbott, T. M. C., additional, Abdalla, F. B., additional, Allam, S., additional, Benoit-Lévy, A., additional, Bertin, E., additional, Brooks, D., additional, Buckley-Geer, E., additional, Burke, D. L., additional, Capozzi, D., additional, Carnero Rosell, A., additional, Carrasco Kind, M., additional, Carretero, J., additional, Crocce, M., additional, Cunha, C. E., additional, D'Andrea, C. B., additional, da Costa, L. N., additional, Desai, S., additional, Dietrich, J. P., additional, Doel, P., additional, Estrada, J., additional, Evrard, A. E., additional, Flaugher, B., additional, Frieman, J., additional, Gerdes, D. W., additional, Goldstein, D. A., additional, Gruendl, R. A., additional, Gutierrez, G., additional, Honscheid, K., additional, James, D. J., additional, Kuehn, K., additional, Kuropatkin, N., additional, Li, T. S., additional, Lima, M., additional, Maia, M. A. G., additional, Marshall, J. L., additional, Miller, C. J., additional, Miquel, R., additional, Nord, B., additional, Ogando, R., additional, Plazas, A. A., additional, Roodman, A., additional, Sanchez, E., additional, Scarpine, V., additional, Sevilla-Noarbe, I., additional, Smith, R. C., additional, Soares-Santos, M., additional, Sobreira, F., additional, Swanson, M. E. C., additional, Tarle, G., additional, Thomas, D., additional, Tucker, D., additional, and Vikram, V., additional
- Published
- 2016
- Full Text
- View/download PDF
153. The XXL Survey
- Author
-
Pierre, M., primary, Pacaud, F., additional, Adami, C., additional, Alis, S., additional, Altieri, B., additional, Baran, N., additional, Benoist, C., additional, Birkinshaw, M., additional, Bongiorno, A., additional, Bremer, M. N., additional, Brusa, M., additional, Butler, A., additional, Ciliegi, P., additional, Chiappetti, L., additional, Clerc, N., additional, Corasaniti, P. S., additional, Coupon, J., additional, De Breuck, C., additional, Democles, J., additional, Desai, S., additional, Delhaize, J., additional, Devriendt, J., additional, Dubois, Y., additional, Eckert, D., additional, Elyiv, A., additional, Ettori, S., additional, Evrard, A., additional, Faccioli, L., additional, Farahi, A., additional, Ferrari, C., additional, Finet, F., additional, Fotopoulou, S., additional, Fourmanoit, N., additional, Gandhi, P., additional, Gastaldello, F., additional, Gastaud, R., additional, Georgantopoulos, I., additional, Giles, P., additional, Guennou, L., additional, Guglielmo, V., additional, Horellou, C., additional, Husband, K., additional, Huynh, M., additional, Iovino, A., additional, Kilbinger, M., additional, Koulouridis, E., additional, Lavoie, S., additional, Le Brun, A. M. C., additional, Le Fevre, J. P., additional, Lidman, C., additional, Lieu, M., additional, Lin, C. A., additional, Mantz, A., additional, Maughan, B. J., additional, Maurogordato, S., additional, McCarthy, I. G., additional, McGee, S., additional, Melin, J. B., additional, Melnyk, O., additional, Menanteau, F., additional, Novak, M., additional, Paltani, S., additional, Plionis, M., additional, Poggianti, B. M., additional, Pomarede, D., additional, Pompei, E., additional, Ponman, T. J., additional, Ramos-Ceja, M. E., additional, Ranalli, P., additional, Rapetti, D., additional, Raychaudury, S., additional, Reiprich, T. H., additional, Rottgering, H., additional, Rozo, E., additional, Rykoff, E., additional, Sadibekova, T., additional, Santos, J., additional, Sauvageot, J. L., additional, Schimd, C., additional, Sereno, M., additional, Smith, G. P., additional, Smolčić, V., additional, Snowden, S., additional, Spergel, D., additional, Stanford, S., additional, Surdej, J., additional, Valageas, P., additional, Valotti, A., additional, Valtchanov, I., additional, Vignali, C., additional, Willis, J., additional, and Ziparo, F., additional
- Published
- 2016
- Full Text
- View/download PDF
154. Cross-correlation of gravitational lensing from DES Science Verification data with SPT andPlancklensing
- Author
-
Kirk, D., primary, Omori, Y., additional, Benoit-Lévy, A., additional, Cawthon, R., additional, Chang, C., additional, Larsen, P., additional, Amara, A., additional, Bacon, D., additional, Crawford, T. M., additional, Dodelson, S., additional, Fosalba, P., additional, Giannantonio, T., additional, Holder, G., additional, Jain, B., additional, Kacprzak, T., additional, Lahav, O., additional, MacCrann, N., additional, Nicola, A., additional, Refregier, A., additional, Sheldon, E., additional, Story, K. T., additional, Troxel, M. A., additional, Vieira, J. D., additional, Vikram, V., additional, Zuntz, J., additional, Abbott, T. M. C., additional, Abdalla, F. B., additional, Becker, M. R., additional, Benson, B. A., additional, Bernstein, G. M., additional, Bernstein, R. A., additional, Bleem, L. E., additional, Bonnett, C., additional, Bridle, S. L., additional, Brooks, D., additional, Buckley-Geer, E., additional, Burke, D. L., additional, Capozzi, D., additional, Carlstrom, J. E., additional, Rosell, A. Carnero, additional, Kind, M. Carrasco, additional, Carretero, J., additional, Crocce, M., additional, Cunha, C. E., additional, D'Andrea, C. B., additional, da Costa, L. N., additional, Desai, S., additional, Diehl, H. T., additional, Dietrich, J. P., additional, Doel, P., additional, Eifler, T. F., additional, Evrard, A. E., additional, Flaugher, B., additional, Frieman, J., additional, Gerdes, D. W., additional, Goldstein, D. A., additional, Gruen, D., additional, Gruendl, R. A., additional, Honscheid, K., additional, James, D. J., additional, Jarvis, M., additional, Kent, S., additional, Kuehn, K., additional, Kuropatkin, N., additional, Lima, M., additional, March, M., additional, Martini, P., additional, Melchior, P., additional, Miller, C. J., additional, Miquel, R., additional, Nichol, R. C., additional, Ogando, R., additional, Plazas, A. A., additional, Reichardt, C. L., additional, Roodman, A., additional, Rozo, E., additional, Rykoff, E. S., additional, Sako, M., additional, Sanchez, E., additional, Scarpine, V., additional, Schubnell, M., additional, Sevilla-Noarbe, I., additional, Simard, G., additional, Smith, R. C., additional, Soares-Santos, M., additional, Sobreira, F., additional, Suchyta, E., additional, Swanson, M. E. C., additional, Tarle, G., additional, Thomas, D., additional, Wechsler, R. H., additional, and Weller, J., additional
- Published
- 2016
- Full Text
- View/download PDF
155. Weak lensing by galaxy troughs in DES Science Verification data
- Author
-
Gruen, D., primary, Friedrich, O., additional, Amara, A., additional, Bacon, D., additional, Bonnett, C., additional, Hartley, W., additional, Jain, B., additional, Jarvis, M., additional, Kacprzak, T., additional, Krause, E., additional, Mana, A., additional, Rozo, E., additional, Rykoff, E. S., additional, Seitz, S., additional, Sheldon, E., additional, Troxel, M. A., additional, Vikram, V., additional, Abbott, T. M. C., additional, Abdalla, F. B., additional, Allam, S., additional, Armstrong, R., additional, Banerji, M., additional, Bauer, A. H., additional, Becker, M. R., additional, Benoit-Lévy, A., additional, Bernstein, G. M., additional, Bernstein, R. A., additional, Bertin, E., additional, Bridle, S. L., additional, Brooks, D., additional, Buckley-Geer, E., additional, Burke, D. L., additional, Capozzi, D., additional, Carnero Rosell, A., additional, Carrasco Kind, M., additional, Carretero, J., additional, Crocce, M., additional, Cunha, C. E., additional, D'Andrea, C. B., additional, da Costa, L. N., additional, DePoy, D. L., additional, Desai, S., additional, Diehl, H. T., additional, Dietrich, J. P., additional, Doel, P., additional, Eifler, T. F., additional, Neto, A. Fausti, additional, Fernandez, E., additional, Flaugher, B., additional, Fosalba, P., additional, Frieman, J., additional, Gerdes, D. W., additional, Gruendl, R. A., additional, Gutierrez, G., additional, Honscheid, K., additional, James, D. J., additional, Kuehn, K., additional, Kuropatkin, N., additional, Lahav, O., additional, Li, T. S., additional, Lima, M., additional, Maia, M. A. G., additional, March, M., additional, Martini, P., additional, Melchior, P., additional, Miller, C. J., additional, Miquel, R., additional, Mohr, J. J., additional, Nord, B., additional, Ogando, R., additional, Plazas, A. A., additional, Reil, K., additional, Romer, A. K., additional, Roodman, A., additional, Sako, M., additional, Sanchez, E., additional, Scarpine, V., additional, Schubnell, M., additional, Sevilla-Noarbe, I., additional, Smith, R. C., additional, Soares-Santos, M., additional, Sobreira, F., additional, Suchyta, E., additional, Swanson, M. E. C., additional, Tarle, G., additional, Thaler, J., additional, Thomas, D., additional, Walker, A. R., additional, Wechsler, R. H., additional, Weller, J., additional, Zhang, Y., additional, and Zuntz, J., additional
- Published
- 2015
- Full Text
- View/download PDF
156. Constraints on the richness–mass relation and the optical-SZE positional offset distribution for SZE-selected clusters
- Author
-
Saro, A., primary, Bocquet, S., additional, Rozo, E., additional, Benson, B. A., additional, Mohr, J., additional, Rykoff, E. S., additional, Soares-Santos, M., additional, Bleem, L., additional, Dodelson, S., additional, Melchior, P., additional, Sobreira, F., additional, Upadhyay, V., additional, Weller, J., additional, Abbott, T., additional, Abdalla, F. B., additional, Allam, S., additional, Armstrong, R., additional, Banerji, M., additional, Bauer, A. H., additional, Bayliss, M., additional, Benoit-Lévy, A., additional, Bernstein, G. M., additional, Bertin, E., additional, Brodwin, M., additional, Brooks, D., additional, Buckley-Geer, E., additional, Burke, D. L., additional, Carlstrom, J. E., additional, Capasso, R., additional, Capozzi, D., additional, Carnero Rosell, A., additional, Carrasco Kind, M., additional, Chiu, I., additional, Covarrubias, R., additional, Crawford, T. M., additional, Crocce, M., additional, D'Andrea, C. B., additional, da Costa, L. N., additional, DePoy, D. L., additional, Desai, S., additional, de Haan, T., additional, Diehl, H. T., additional, Dietrich, J. P., additional, Doel, P., additional, Cunha, C. E, additional, Eifler, T. F., additional, Evrard, A. E., additional, Fausti Neto, A., additional, Fernandez, E., additional, Flaugher, B., additional, Fosalba, P., additional, Frieman, J., additional, Gangkofner, C., additional, Gaztanaga, E., additional, Gerdes, D., additional, Gruen, D., additional, Gruendl, R. A., additional, Gupta, N., additional, Hennig, C., additional, Holzapfel, W. L., additional, Honscheid, K., additional, Jain, B., additional, James, D., additional, Kuehn, K., additional, Kuropatkin, N., additional, Lahav, O., additional, Li, T. S., additional, Lin, H., additional, Maia, M. A. G., additional, March, M., additional, Marshall, J. L., additional, Martini, Paul, additional, McDonald, M., additional, Miller, C.J., additional, Miquel, R., additional, Nord, B., additional, Ogando, R., additional, Plazas, A. A., additional, Reichardt, C. L., additional, Romer, A. K., additional, Roodman, A., additional, Sako, M., additional, Sanchez, E., additional, Schubnell, M., additional, Sevilla, I., additional, Smith, R. C., additional, Stalder, B., additional, Stark, A. A., additional, Strazzullo, V., additional, Suchyta, E., additional, Swanson, M. E. C., additional, Tarle, G., additional, Thaler, J., additional, Thomas, D., additional, Tucker, D., additional, Vikram, V., additional, von der Linden, A., additional, Walker, A. R., additional, Wechsler, R. H., additional, Wester, W., additional, Zenteno, A., additional, and Ziegler, K. E., additional
- Published
- 2015
- Full Text
- View/download PDF
157. redMaPPer – IV. Photometric membership identification of red cluster galaxies with 1 per cent precision
- Author
-
Rozo, E., primary, Rykoff, E. S., additional, Becker, M., additional, Reddick, R. M., additional, and Wechsler, R. H., additional
- Published
- 2015
- Full Text
- View/download PDF
158. OzDES multifibre spectroscopy for the Dark Energy Survey: first-year operation and results
- Author
-
Yuan, Fang, primary, Lidman, C., additional, Davis, T. M., additional, Childress, M., additional, Abdalla, F. B., additional, Banerji, M., additional, Buckley-Geer, E., additional, Carnero Rosell, A., additional, Carollo, D., additional, Castander, F. J., additional, D'Andrea, C. B., additional, Diehl, H. T., additional, Cunha, C. E, additional, Foley, R. J., additional, Frieman, J., additional, Glazebrook, K., additional, Gschwend, J., additional, Hinton, S., additional, Jouvel, S., additional, Kessler, R., additional, Kim, A. G., additional, King, A. L., additional, Kuehn, K., additional, Kuhlmann, S., additional, Lewis, G. F., additional, Lin, H., additional, Martini, P., additional, McMahon, R. G., additional, Mould, J., additional, Nichol, R. C., additional, Norris, R. P., additional, O'Neill, C. R., additional, Ostrovski, F., additional, Papadopoulos, A., additional, Parkinson, D., additional, Reed, S., additional, Romer, A. K., additional, Rooney, P. J., additional, Rozo, E., additional, Rykoff, E. S., additional, Sako, M., additional, Scalzo, R., additional, Schmidt, B. P., additional, Scolnic, D., additional, Seymour, N., additional, Sharp, R., additional, Sobreira, F., additional, Sullivan, M., additional, Thomas, R. C., additional, Tucker, D., additional, Uddin, S. A., additional, Wechsler, R. H., additional, Wester, W., additional, Wilcox, H., additional, Zhang, B., additional, Abbott, T., additional, Allam, S., additional, Bauer, A. H., additional, Benoit-Lévy, A., additional, Bertin, E., additional, Brooks, D., additional, Burke, D. L., additional, Carrasco Kind, M., additional, Covarrubias, R., additional, Crocce, M., additional, da Costa, L. N., additional, DePoy, D. L., additional, Desai, S., additional, Doel, P., additional, Eifler, T. F., additional, Evrard, A. E., additional, Fausti Neto, A., additional, Flaugher, B., additional, Fosalba, P., additional, Gaztanaga, E., additional, Gerdes, D., additional, Gruen, D., additional, Gruendl, R. A., additional, Honscheid, K., additional, James, D., additional, Kuropatkin, N., additional, Lahav, O., additional, Li, T. S., additional, Maia, M. A. G., additional, Makler, M., additional, Marshall, J., additional, Miller, C. J., additional, Miquel, R., additional, Ogando, R., additional, Plazas, A. A., additional, Roodman, A., additional, Sanchez, E., additional, Scarpine, V., additional, Schubnell, M., additional, Sevilla-Noarbe, I., additional, Smith, R. C., additional, Soares-Santos, M., additional, Suchyta, E., additional, Swanson, M. E. C., additional, Tarle, G., additional, Thaler, J., additional, and Walker, A. R., additional
- Published
- 2015
- Full Text
- View/download PDF
159. Wide-field lensing mass maps from Dark Energy Survey science verification data: Methodology and detailed analysis
- Author
-
Vikram, V., primary, Chang, C., additional, Jain, B., additional, Bacon, D., additional, Amara, A., additional, Becker, M. R., additional, Bernstein, G., additional, Bonnett, C., additional, Bridle, S., additional, Brout, D., additional, Busha, M., additional, Frieman, J., additional, Gaztanaga, E., additional, Hartley, W., additional, Jarvis, M., additional, Kacprzak, T., additional, Kovács, A., additional, Lahav, O., additional, Leistedt, B., additional, Lin, H., additional, Melchior, P., additional, Peiris, H., additional, Rozo, E., additional, Rykoff, E., additional, Sánchez, C., additional, Sheldon, E., additional, Troxel, M. A., additional, Wechsler, R., additional, Zuntz, J., additional, Abbott, T., additional, Abdalla, F. B., additional, Armstrong, R., additional, Banerji, M., additional, Bauer, A. H., additional, Benoit-Lévy, A., additional, Bertin, E., additional, Brooks, D., additional, Buckley-Geer, E., additional, Burke, D. L., additional, Capozzi, D., additional, Carnero Rosell, A., additional, Carrasco Kind, M., additional, Castander, F. J., additional, Crocce, M., additional, Cunha, C. E., additional, D’Andrea, C. B., additional, da Costa, L. N., additional, DePoy, D. L., additional, Desai, S., additional, Diehl, H. T., additional, Dietrich, J. P., additional, Estrada, J., additional, Evrard, A. E., additional, Fausti Neto, A., additional, Fernandez, E., additional, Flaugher, B., additional, Fosalba, P., additional, Gerdes, D., additional, Gruen, D., additional, Gruendl, R. A., additional, Honscheid, K., additional, James, D., additional, Kent, S., additional, Kuehn, K., additional, Kuropatkin, N., additional, Li, T. S., additional, Maia, M. A. G., additional, Makler, M., additional, March, M., additional, Marshall, J., additional, Martini, P., additional, Merritt, K. W., additional, Miller, C. J., additional, Miquel, R., additional, Neilsen, E., additional, Nichol, R. C., additional, Nord, B., additional, Ogando, R., additional, Plazas, A. A., additional, Romer, A. K., additional, Roodman, A., additional, Sanchez, E., additional, Scarpine, V., additional, Sevilla, I., additional, Smith, R. C., additional, Soares-Santos, M., additional, Sobreira, F., additional, Suchyta, E., additional, Swanson, M. E. C., additional, Tarle, G., additional, Thaler, J., additional, Thomas, D., additional, Walker, A. R., additional, and Weller, J., additional
- Published
- 2015
- Full Text
- View/download PDF
160. Wide-Field Lensing Mass Maps from Dark Energy Survey Science Verification Data
- Author
-
Chang, C., primary, Vikram, V., additional, Jain, B., additional, Bacon, D., additional, Amara, A., additional, Becker, M. R., additional, Bernstein, G., additional, Bonnett, C., additional, Bridle, S., additional, Brout, D., additional, Busha, M., additional, Frieman, J., additional, Gaztanaga, E., additional, Hartley, W., additional, Jarvis, M., additional, Kacprzak, T., additional, Kovács, A., additional, Lahav, O., additional, Lin, H., additional, Melchior, P., additional, Peiris, H., additional, Rozo, E., additional, Rykoff, E., additional, Sánchez, C., additional, Sheldon, E., additional, Troxel, M. A., additional, Wechsler, R., additional, Zuntz, J., additional, Abbott, T., additional, Abdalla, F. B., additional, Allam, S., additional, Annis, J., additional, Bauer, A. H., additional, Benoit-Lévy, A., additional, Brooks, D., additional, Buckley-Geer, E., additional, Burke, D. L., additional, Capozzi, D., additional, Carnero Rosell, A., additional, Carrasco Kind, M., additional, Castander, F. J., additional, Crocce, M., additional, D’Andrea, C. B., additional, Desai, S., additional, Diehl, H. T., additional, Dietrich, J. P., additional, Doel, P., additional, Eifler, T. F., additional, Evrard, A. E., additional, Fausti Neto, A., additional, Flaugher, B., additional, Fosalba, P., additional, Gruen, D., additional, Gruendl, R. A., additional, Gutierrez, G., additional, Honscheid, K., additional, James, D., additional, Kent, S., additional, Kuehn, K., additional, Kuropatkin, N., additional, Maia, M. A. G., additional, March, M., additional, Martini, P., additional, Merritt, K. W., additional, Miller, C. J., additional, Miquel, R., additional, Neilsen, E., additional, Nichol, R. C., additional, Ogando, R., additional, Plazas, A. A., additional, Romer, A. K., additional, Roodman, A., additional, Sako, M., additional, Sanchez, E., additional, Sevilla, I., additional, Smith, R. C., additional, Soares-Santos, M., additional, Sobreira, F., additional, Suchyta, E., additional, Tarle, G., additional, Thaler, J., additional, Thomas, D., additional, Tucker, D., additional, and Walker, A. R., additional
- Published
- 2015
- Full Text
- View/download PDF
161. Environment-based selection effects ofPlanckclusters
- Author
-
Kosyra, R., primary, Gruen, D., additional, Seitz, S., additional, Mana, A., additional, Rozo, E., additional, Rykoff, E., additional, Sanchez, A., additional, and Bender, R., additional
- Published
- 2015
- Full Text
- View/download PDF
162. The Red Radio Ring: a gravitationally lensed hyperluminous infrared radio galaxy atz = 2.553 discovered through the citizen science project Space Warps
- Author
-
Geach, J. E., primary, More, A., additional, Verma, A., additional, Marshall, P. J., additional, Jackson, N., additional, Belles, P.-E., additional, Beswick, R., additional, Baeten, E., additional, Chavez, M., additional, Cornen, C., additional, Cox, B. E., additional, Erben, T., additional, Erickson, N. J., additional, Garrington, S., additional, Harrison, P. A., additional, Harrington, K., additional, Hughes, D. H., additional, Ivison, R. J., additional, Jordan, C., additional, Lin, Y.-T., additional, Leauthaud, A., additional, Lintott, C., additional, Lynn, S., additional, Kapadia, A., additional, Kneib, J.-P., additional, Macmillan, C., additional, Makler, M., additional, Miller, G., additional, Montaña, A., additional, Mujica, R., additional, Muxlow, T., additional, Narayanan, G., additional, Briain, D. Ó, additional, O'Brien, T., additional, Oguri, M., additional, Paget, E., additional, Parrish, M., additional, Ross, N. P., additional, Rozo, E., additional, Rusu, C. E., additional, Rykoff, E. S., additional, Sanchez-Argüelles, D., additional, Simpson, R., additional, Snyder, C., additional, Schloerb, F. P., additional, Tecza, M., additional, Wang, W-H., additional, Van Waerbeke, L., additional, Wilcox, J., additional, Viero, M., additional, Wilson, G. W., additional, Yun, M. S., additional, and Zeballos, M., additional
- Published
- 2015
- Full Text
- View/download PDF
163. redMaPPer – III. A detailed comparison of the Planck 2013 and SDSS DR8 redMaPPer cluster catalogues
- Author
-
Rozo, E., primary, Rykoff, E. S., additional, Bartlett, James G., additional, and Melin, Jean-Baptiste, additional
- Published
- 2015
- Full Text
- View/download PDF
164. The X-CLASS−redMaPPer galaxy cluster comparison
- Author
-
Sadibekova, T., primary, Pierrre, M., additional, Clerc, N., additional, Faccioli, L., additional, Gastaud, R., additional, Le Fevre, J.-P., additional, Rozo, E., additional, and Rykoff, E., additional
- Published
- 2014
- Full Text
- View/download PDF
165. CODEX weak lensing: concentration of galaxy clusters at z ~ 0.5.
- Author
-
Cibirka, N., Cypriano, E. S., Brimioulle, F., Gruen, D., Erben, T., van Waerbeke, L., Miller, L., Finoguenov, A., Kirkpatrick, C., Henry, J. Patrick, Rykoff, E., Rozo, E., Dupke, R., Kneib, J.-P., Shan, H., and Spinelli, P.
- Subjects
ASTRONOMY ,DARK energy ,BAYESIAN analysis ,SUPERNOVAE - Abstract
We present a stacked weak-lensing analysis of 27 richness selected galaxy clusters at 0.40 ≤ z ≤ 0.62 in the COnstrain Dark Energy with X-ray galaxy clusters (CODEX) survey. The fields were observed in five bands with the Canada-France-Hawaii Telescope (CFHT). We measure the stacked surface mass density profile with a 14σ significance in the radial range 0.1 < R Mpc h
-1 < 2.5. The profile is well described by the halo model, with the main halo term following a Navarro-Frenk-White profile (NFW) profile and including the off-centring effect. We select the background sample using a conservative colour-magnitude method to reduce the potential systematic errors and contamination by cluster member galaxies.We perform a Bayesian analysis for the stacked profile and constrain the best-fitting NFW parameters M200c = 6.6+1.0 -0.8 × 1014 h-1 M☉ and c200c = 3.7+0.7 -0.6 . The off-centring effect was modelled based on previous observational results found for redMaPPer Sloan Digital Sky Survey clusters. Our constraints on M200c and c200c allow us to investigate the consistency with numerical predictions and select a concentration-mass relation to describe the high richness CODEX sample. Comparing our best-fitting values forM200c and c200c with other observational surveys at different redshifts, we find no evidence for evolution in the concentration-mass relation, though it could be mitigated by particular selection functions. Similar to previous studies investigating the X-ray luminosity-mass relation, our data suggest a lower evolution than expected from self-similarity. [ABSTRACT FROM AUTHOR]- Published
- 2017
- Full Text
- View/download PDF
166. Galaxy-galaxy lensing in the Dark Energy Survey Science Verification data.
- Author
-
Clampitt, J., Sánchez, C., Kwan, J., Krause, E., MacCrann, N., Park, Y., Troxel, M. A., Jain, B., Rozo, E., Rykoff, E. S., Wechsler, R. H., Blazek, J., Bonnett, C., Crocce, M., Fang, Y., Gaztanaga, E., Gruen, D., Jarvis, M., Miquel, R., and Prat, J.
- Subjects
DARK energy ,GRAVITATIONAL lenses ,GALACTIC redshift ,SIGNAL-to-noise ratio ,ASTRONOMICAL photometry - Abstract
We present galaxy--galaxy lensing results from 139 deg² of Dark Energy Survey (DES) Science Verification (SV) data. Our lens sample consists of red galaxies, known as redMaGiC, which are specifically selected to have a low photometric redshift error and outlier rate. The lensing measurement has a total signal-to-noise ratio of 29 over scales 0.09 < R < 15 Mpc h
-1 , including all lenses over a wide redshift range 0.2 < z < 0.8. Dividing the lenses into three redshift bins for this constant moving number density sample, we find no evidence for evolution in the halo mass with redshift. We obtain consistent results for the lensing measurement with two independent shear pipelines, ngmix and im3shape. We perform a number of null tests on the shear and photometric redshift catalogues and quantify resulting systematic uncertainties. Covariances from jackknife subsamples of the data are validated with a suite of 50 mock surveys. The result and systematic checks in this work provide a critical input for future cosmological and galaxy evolution studies with the DES data and redMaGiC galaxy samples. We fit a halo occupation distribution (HOD) model, and demonstrate that our data constrain the mean halo mass of the lens galaxies, despite strong degeneracies between individual HOD parameters. [ABSTRACT FROM AUTHOR]- Published
- 2017
- Full Text
- View/download PDF
167. The evolution of active galactic nuclei in clusters of galaxies from the Dark Energy Survey.
- Author
-
Bufanda, E., Hollowood, D., Jeltema, T. E., Rykoff, E. S., Rozo, E., Martini, P., Abbott, T. M. C., Abdalla, F. B., Allam, S., Banerji, M., Benoit-Lévy, A., Bertin, E., Brooks, D., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Cunha, C. E., da Costa, L. N., Desai, S., and Diehl, H. T.
- Subjects
ACTIVE galactic nuclei ,GALACTIC evolution ,GALAXY clusters ,DARK energy ,ASTRONOMICAL surveys - Abstract
The correlation between active galactic nuclei (AGNs) and environment provides important clues to AGN fuelling and the relationship of black hole growth to galaxy evolution. In this paper, we analyse the fraction of galaxies in clusters hosting AGN as a function of redshift and cluster richness for X-ray-detected AGN associated with clusters of galaxies in Dark Energy Survey (DES) Science Verification data. The present sample includes 33 AGNs with L
X >1043 erg s-1 in non-central, host galaxies with luminosity greater than 0.5L* from a total sample of 432 clusters in the redshift range of 0.1 < z < 0.95. Analysis of the present sample reveals that the AGN fraction in red-sequence cluster members has a strong positive correlation with redshift such that the AGN fraction increases by a factor of ~8 from low to high redshift, and the fraction of cluster galaxies hosting AGN at high redshifts is greater than the low-redshift fraction at 3.6σ. In particular, the AGN fraction increases steeply at the highest redshifts in our sample at z > 0.7. This result is in good agreement with previous work and parallels the increase in star formation in cluster galaxies over the same redshift range. However, the AGN fraction in clusters is observed to have no significant correlation with cluster mass. Future analyses with DES Year 1 through Year 3 data will be able to clarify whether AGN activity is correlated to cluster mass and will tightly constrain the relationship between cluster AGN populations and redshift. [ABSTRACT FROM AUTHOR]- Published
- 2017
- Full Text
- View/download PDF
168. Cosmic voids and void lensing in the Dark Energy Survey Science Verification data.
- Author
-
Sánchez, C., Clampitt, J., Kovacs, A., Jain, B., Garc÷a-Bellido, J., Nadathur, S., Gruen, D., Hamaus, N., Huterer, D., Vielzeuf, P., Amara, A., Bonnett, C., DeRose, J., Hartley, W. G., Jarvis, M., Lahav, O., Miquel, R., Rozo, E., Rykoff, E. S., and Sheldon, E.
- Subjects
DARK energy ,ASTRONOMICAL photometry ,GRAVITATIONAL lenses ,GALAXY spectra ,GALACTIC redshift - Abstract
Cosmic voids are usually identified in spectroscopic galaxy surveys, where 3D information about the large-scale structure of the Universe is available. Although an increasing amount of photometric data is being produced, its potential for void studies is limited since photometric redshifts induce line-of-sight position errors of ≥50 Mpc hr
-1 which can render many voids undetectable. We present a new void finder designed for photometric surveys, validate it using simulations, and apply it to the high-quality photo-z redMaGiC galaxy sample of the DES Science Verification data. The algorithm works by projecting galaxies into 2D slices and finding voids in the smoothed 2D galaxy density field of the slice. Fixing the line-of-sight size of the slices to be at least twice the photo-z scatter, the number of voids found in simulated spectroscopic and photometric galaxy catalogues is within 20 per cent for all transverse void sizes, and indistinguishable for the largest voids (Rv ≥ 70 Mpc hr-1 ). The positions, radii, and projected galaxy profiles of photometric voids also accurately match the spectroscopic void sample. Applying the algorithm to the DES-SV data in the redshift range 0.2 < z < 0.8, we identify 87 voids with comoving radii spanning the range 18-120 Mpc h-1 , and carry out a stacked weak lensing measurement. With a significance of 4.4δ, the lensing measurement confirms that the voids are truly underdense in the matter field and hence not a product of Poisson noise, tracer density effects or systematics in the data. It also demonstrates, for the first time in real data, the viability of void lensing studies in photometric surveys. [ABSTRACT FROM AUTHOR]- Published
- 2017
- Full Text
- View/download PDF
169. redMaPPer. I. ALGORITHM AND SDSS DR8 CATALOG
- Author
-
Rykoff, E. S., primary, Rozo, E., additional, Busha, M. T., additional, Cunha, C. E., additional, Finoguenov, A., additional, Evrard, A., additional, Hao, J., additional, Koester, B. P., additional, Leauthaud, A., additional, Nord, B., additional, Pierre, M., additional, Reddick, R., additional, Sadibekova, T., additional, Sheldon, E. S., additional, and Wechsler, R. H., additional
- Published
- 2014
- Full Text
- View/download PDF
170. A comparative study of local galaxy clusters – I. Derived X-ray observables
- Author
-
Rozo, E., primary, Rykoff, E. S., additional, Bartlett, J. G., additional, and Evrard, A., additional
- Published
- 2013
- Full Text
- View/download PDF
171. A comparative study of local galaxy clusters – II. X-ray and SZ scaling relations
- Author
-
Rozo, E., primary, Evrard, A. E., additional, Rykoff, E. S., additional, and Bartlett, J. G., additional
- Published
- 2013
- Full Text
- View/download PDF
172. Closing the loop: a self-consistent model of optical, X-ray and Sunyaev–Zel'dovich scaling relations for clusters of Galaxies
- Author
-
Rozo, E., primary, Bartlett, J. G., additional, Evrard, A. E., additional, and Rykoff, E. S., additional
- Published
- 2013
- Full Text
- View/download PDF
173. Weak lensing by galaxy troughs in DES Science Verification data.
- Author
-
Gruen, D., Friedrich, O., Amara, A., Bacon, D., Bonnett, C., Hartley, W., Jain, B., Jarvis, M., Kacprzak, T., Krause, E., Mana, A., Rozo, E., Rykoff, E. S., Seitz, S., Sheldon, E., Troxel, M. A., Vikram, V., Abbott, T. M. C., Abdalla, F. B., and Allam, S.
- Subjects
GALAXIES ,ASTRONOMY ,DARK energy ,STOCHASTIC convergence ,DATA analysis - Abstract
We measure the weak lensing shear around galaxy troughs, i.e. the radial alignment of background galaxies relative to underdensities in projections of the foreground galaxy field over a wide range of redshift in Science Verification data from the Dark Energy Survey. Our detection of the shear signal is highly significant (10σ-15σ for the smallest angular scales) for troughs with the redshift range z ϵ [0.2, 0.5] of the projected galaxy field and angular diameters of 10 arcmin. . . 1°. These measurements probe the connection between the galaxy, matter density, and convergence fields. By assuming galaxies are biased tracers of the matter density with Poissonian noise, we find agreement of our measurements with predictions in a fiducial Λ cold dark matter model. The prediction for the lensing signal on large trough scales is virtually independent of the details of the underlying model for the connection of galaxies and matter. Our comparison of the shear around troughs with that around cylinders with large galaxy counts is consistent with a symmetry between galaxy and matter over- and underdensities. In addition, we measure the two-point angular correlation of troughs with galaxies which, in contrast to the lensing signal, is sensitive to galaxy bias on all scales. The lensing signal of troughs and their clustering with galaxies is therefore a promising probe of the statistical properties of matter underdensities and their connection to the galaxy field. [ABSTRACT FROM AUTHOR]
- Published
- 2016
- Full Text
- View/download PDF
174. redMaPPer - IV. Photometric membership identification of red cluster galaxies with 1 percent precision.
- Author
-
Rozo, E., Rykoff, E. S., Becker, M., Reddick, R. M., and Wechsler, R. H.
- Subjects
- *
PHOTOMETRY , *GALAXIES , *PROBABILITY theory , *DATA analysis - Abstract
In order to study the galaxy population of galaxy clusters with photometric data, one must be able to accurately discriminate between cluster members and non-members. The redMaPPer cluster finding algorithm treats this problem probabilistically, focusing exclusively on the red galaxy population. Here, we utilize Sloan Digital Sky Survey (SDSS) and Galaxy And Mass Assembly spectroscopic membership rates to validate the redMaPPer membership probability estimates for clusters with z ∈ [0.1, 0.3]. We find small – but correctable – biases, sourced by three different systematics. The first two were expected a priori, namely blue cluster galaxies and correlated structure along the line of sight. The third systematic is new: the redMaPPer template fitting exhibits a non-trivial dependence on photometric noise, which biases the original redMaPPer probabilities when utilizing noisy data. After correcting for these effects, we find exquisite agreement (≈1 percent) between the photometric probability estimates and the spectroscopic membership rates, demonstrating that we can robustly recover cluster membership estimates from photometric data alone. As a byproduct of our analysis we find that on average unavoidable projection effects from correlated structure contribute ≈6 percent of the richness of a redMaPPer galaxy cluster. This work also marks the second public release of the SDSS redMaPPer cluster catalogue. [ABSTRACT FROM AUTHOR]
- Published
- 2015
- Full Text
- View/download PDF
175. ROBUST OPTICAL RICHNESS ESTIMATION WITH REDUCED SCATTER
- Author
-
Rykoff, E. S., primary, Koester, B. P., additional, Rozo, E., additional, Annis, J., additional, Evrard, A. E., additional, Hansen, S. M., additional, Hao, J., additional, Johnston, D. E., additional, McKay, T. A., additional, and Wechsler, R. H., additional
- Published
- 2012
- Full Text
- View/download PDF
176. The LX–M relation of clusters of galaxies
- Author
-
Rykoff, E. S., primary, Evrard, A. E., additional, McKay, T. A., additional, Becker, M. R., additional, Johnston, D. E., additional, Koester, B. P., additional, Nord, B., additional, Rozo, E., additional, Sheldon, E. S., additional, Stanek, R., additional, and Wechsler, R. H., additional
- Published
- 2008
- Full Text
- View/download PDF
177. Measuring the Mean and Scatter of the X‐Ray Luminosity–Optical Richness Relation for maxBCG Galaxy Clusters
- Author
-
Rykoff, E. S., primary, McKay, T. A., additional, Becker, M. R., additional, Evrard, A., additional, Johnston, D. E., additional, Koester, B. P., additional, Rozo, E., additional, Sheldon, E. S., additional, and Wechsler, R. H., additional
- Published
- 2008
- Full Text
- View/download PDF
178. The Mean and Scatter of the Velocity Dispersion–Optical Richness Relation for maxBCG Galaxy Clusters
- Author
-
Becker, M. R., primary, McKay, T. A., additional, Koester, B., additional, Wechsler, R. H., additional, Rozo, E., additional, Evrard, A., additional, Johnston, D., additional, Sheldon, E., additional, Annis, J., additional, Lau, E., additional, Nichol, R., additional, and Miller, C., additional
- Published
- 2007
- Full Text
- View/download PDF
179. The X-CLASS--redMaPPer galaxy cluster comparison.
- Author
-
Sadibekova, T., Pierrre, M., Faccioli, L., Clerc, N., Gastaud, R., Le Fevre, J.-P., Rozo, E., and Rykoff, E.
- Subjects
GALAXY clusters ,METAPHYSICAL cosmology ,X-rays ,CATALOGS ,ASTROPHYSICS - Abstract
Context. This paper is the first in a series undertaking a comprehensive correlation analysis between optically selected and X-ray-selected cluster catalogues. The rationale of the project is to develop a holistic picture of galaxy clusters utilising optical and X-ray-cluster- selected catalogues with well-understood selection functions. Aims. Unlike most of the X-ray/optical cluster correlations to date, the present paper focuses on the non-matching objects in either waveband. We investigate how the differences observed between the optical and X-ray catalogues may stem from (1) a shortcoming of the detection algorithms; (2) dispersion in the X-ray/optical scaling relations; or (3) substantial intrinsic differences between the cluster populations probed in the X-ray and optical bands. The aim is to inventory and elucidate these effects in order to account for selection biases in the further determination of X-ray/optical cluster scaling relations. Methods. We correlated the X-CLASS serendipitous cluster catalogue extracted from the XMM archive with the redMaPPer optical cluster catalogue derived from the Sloan Digital Sky Survey (DR8).We performed a detailed and, in large part, interactive analysis of the matching output from the correlation. The overlap between the two catalogues has been accurately determined and possible cluster positional errors were manually recovered. The final samples comprise 270 and 355 redMaPPer and X-CLASS clusters, respectively. X-ray cluster matching rates were analysed as a function of optical richness. In the second step, the redMaPPer clusters were correlated with the entire X-ray catalogue, containing point and uncharacterised sources (down to a few 10
-15 erg s-1 cm-2 in the [0.5-2] keV band). A stacking analysis was performed for the remaining undetected optical clusters. Results. We find that all rich (λ ⩾ 80) clusters are detected in X-rays out to z = 0:6. Below this redshift, the richness threshold for X-ray detection steadily decreases with redshift. Likewise, all X-ray bright clusters are detected by redMaPPer. After correcting for obvious pipeline shortcomings (about 10% of the cases both in optical and X-ray), ∼50% of the redMaPPer (down to a richness of 20) are found to coincide with an X-CLASS cluster; when considering X-ray sources of any type, this fraction increases to ∼80%; for the remaining objects, the stacking analysis finds a weak signal within 0.5 Mpc around the cluster optical centres. The fraction of clusters totally dominated by AGN-type emission appears to be a few percent. Conversely, ∼40% of the X-CLASS clusters are identified with a redMaPPer (down to a richness of 20) - part of the non-matches being due to the X-CLASS sample extending further out than redMaPPer (z < 1:5 vs. z < 0:6), but extending the correlation down to a richness of 5 raises the matching rate to ∼65%. Conclusions. This state-of-the-art study involving two well-validated cluster catalogues has shown itself to be complex, and it points to a number of issues inherent to blind cross-matching, owing both to pipeline shortcomings and cluster peculiar properties. These can only been accounted for after a manual check. The combined X-ray and optical scaling relations will be presented in a subsequent article. [ABSTRACT FROM AUTHOR]- Published
- 2014
- Full Text
- View/download PDF
180. La prédiction de la valeur énergétique des matières premières destinées à l'aviculture
- Author
-
Carré, Bernard, ROZO, E., Unité de Recherches Avicoles (URA), and Institut National de la Recherche Agronomique (INRA)
- Subjects
[SDV.SA]Life Sciences [q-bio]/Agricultural sciences ,PREDICTION - Abstract
National audience; Cet article présente les équations établies par l’INRA pour la prédiction des valeurs énergétiques de 10 groupes de matières premières destinées à l’aviculture. Il relate aussi les difficultés généralement rencontrées lors de l’établissement de telles équations. Ces difficultés expliquent l’évolution des techniques utilisées pour établir les équations de prédiction. Cette évolution se traduit par la mise au point d’équations de plus en plus rationnelles et de moins en moins spécialisées. L’utilisation de la teneur en parois végétales insolubles dans l’eau (PAR) a été déterminante dans le développement de cette évolution.
- Published
- 1990
181. The.
- Author
-
Rykoff, E. S., Evrard, A. E., McKay, T. A., Becker, M. R., Johnston, D. E., Koester, B. P., Nord, B., Rozo, E., Sheldon, E. S., Stanek, R., and Wechsler, R. H.
- Subjects
X-ray astronomy ,X-rays ,STELLAR luminosity function ,GRAVITATIONAL lenses ,MICROLENSING (Astrophysics) - Abstract
We present a new measurement of the scaling relation between X-ray luminosity and total mass for 17 000 galaxy clusters in the maxBCG cluster sample. Stacking subsamples within fixed ranges of optical richness, N
200 , we measure the mean 0.1–2.4 keV X-ray luminosity, , from the ROSAT All-Sky Survey. The mean mass, , is measured from weak gravitational lensing of SDSS background galaxies. For , the data are well fitted by a power law, . The slope agrees to within 10 per cent with previous estimates based on X-ray selected catalogues, implying that the covariance in and N200 at a fixed halo mass is not large. The luminosity intercept is 30 per cent, or 2σ, lower than that determined from the X-ray flux-limited sample of Reiprich & Böhringer, assuming hydrostatic equilibrium. This slight difference could arise from a combination of Malmquist bias and/or systematic error in hydrostatic mass estimates, both of which are expected. The intercept agrees with that derived by Stanek et al. using a model for the statistical correspondence between clusters and haloes in a WMAP3 cosmology with power spectrum normalization . Similar exercises applied to future data sets will allow constraints on the covariance among optical and hot gas properties of clusters at a fixed mass. [ABSTRACT FROM AUTHOR]- Published
- 2008
- Full Text
- View/download PDF
182. La prédiction de la valeur énergétique des matières premières destinées à l’aviculture
- Author
-
CARRÉ, B., primary and ROZO, E., additional
- Published
- 1990
- Full Text
- View/download PDF
183. Estudios preliminares sobre la respuesta del trébol blanco (Trifolium repens), inoculado con rhizobium, a la fertilización con boro en la Sabana de Bogotá
- Author
-
Munévar Martínez, F. and Vargas de Rozo, E.
- Subjects
Boro ,Fertilización - F04 ,Rendimiento ,Fertilizantes ,Transversal ,Trifolium repens ,Rhizobium ,Suelos - Abstract
En la Sabana de Bogotá se han encontrado deficiencias de B, se hace un ensayo en invernadero, en bloques al azar, para conocer la respuesta de la leguminosa asociada más común de las pasturas, el trébol blanco, inoculado y no inoculado con Rhizobium, a las aplicaciones de 0, 1, 2, 3 y 4 kg/ha de B. Se utilizaron muestras de la capa arabla de las series Techo, Tibaitatá y rio Bogotá. Se hicieron 3 cortes de trébol y para cada corte se determinó el B del suelo soluble en agua caliente, B y N de la parte aérea del trébol. Los suelos de las series río Bogotá y Tibaitatà presentaron igual capacidad de absorción de B y de magnitud inferior a la de la serie Techo. La respuesta en rendimiento fue mayor en las plantas inoculadas. Los valores de B extraídos con agua caliente, no presentan ninguna relación con los rendimientos del trébol. El B aplicado al suelo aumentó el contenido de N en la planta, tanto en las inoculadas como en las no inoculadas. Los rendimientos más altos por corte se encontraron asociados con contenidos de B en la planta de 25 a 35 ppm. La serie con mayor limitación por B aprovechable es Techo, que con aplicaciones de 2 kg/ha produce los más altos rendimientos. La serie río Bogotá presenta respuesta positiva en rendimientos a la aplicación de 2 kg/ha. En la serie Tibaitatá no se encuentra respuesta al B, aunque es posible que con un mayor número de cortes, se encuentre dicha respuesta
- Published
- 1981
184. Joint Analysis of Galaxy-Galaxy Lensing and Galaxy Clustering: Methodology and Forecasts for DES
- Author
-
Park, Y., Krause, E., Dodelson, S., Jain, B., Amara, A., Becker, M. R., Bridle, S. L., Clampitt, J., Crocce, M., Fosalba, P., Gaztanaga, E., Honscheid, K., Rozo, E., Sobreira, F., Sánchez, C., Risa Wechsler, Abbott, T., Abdalla, F. B., Allam, S., Benoit-Lévy, A., Bertin, E., Brooks, D., Buckley-Geer, E., Burke, D. L., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Castander, F. J., Da Costa, L. N., Depoy, D. L., Desai, S., Dietrich, J. P., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gutierrez, G., James, D. J., Kent, S., Kuehn, K., Kuropatkin, N., Lima, M., Maia, M. A. G., Marshall, J. L., Melchior, P., Miller, C. J., Sanchez, E., Scarpine, V., Schubnell, M., Sevilla-Noarbe, I., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thaler, J., Vikram, V., Walker, A. R., Weller, J., and Zuntz, J.
185. The redMaPPer Galaxy Cluster Catalog From DES Science Verification Data
- Author
-
Rykoff, E. S., Rozo, E., Hollowood, D., Bermeo-Hernandez, A., Jeltema, T., Mayers, J., Romer, A. K., Rooney, P., Saro, A., Vergara Cervantes, C., Wilcox, H., Abbott, T. M. C., Abdalla, F. B., Allam, S., Annis, J., Benoit-Lévy, A., Bernstein, G. M., Bertin, E., Brooks, D., Burke, D. L., Capozzi, D., Carnero Rosell, A., Carrasco Kind, M., Castander, F. J., Childress, M., Collins, C. A., Cunha, C. E., D Andrea, C. B., Da Costa, L. N., Davis, T. M., Desai, S., Diehl, H. T., Jörg Dietrich, Doel, P., Evrard, A. E., Finley, D. A., Flaugher, B., Fosalba, P., Frieman, J., Glazebrook, K., Goldstein, D. A., Gruen, D., Gruendl, R. A., Gutierrez, G., Hilton, M., Honscheid, K., Hoyle, B., James, D. J., Kay, S. T., Kuehn, K., Kuropatkin, N., Lahav, O., Lewis, G. F., Lidman, C., Lima, M., Maia, M. A. G., Mann, R. G., Marshall, J. L., Martini, P., Melchior, P., Miller, C. J., Miquel, R., Mohr, J. J., Nichol, R. C., Nord, B., Ogando, R., Plazas, A. A., Reil, K., Sahlén, M., Sanchez, E., Santiago, B., Scarpine, V., Schubnell, M., Sevilla-Noarbe, I., Smith, R. C., Soares-Santos, M., Sobreira, F., Stott, J. P., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Tucker, D., Viana, P. T. P., Vikram, V., Walker, A. R., and Zhang, Y.
186. Dark Energy Survey Year 1 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing
- Author
-
Abbott, T. M. C., Abdalla, F. B., Alarcon, A., Aleksic, J., Allam, S., Allen, S., Amara, A., Annis, J., Asorey, J., Avila, S., Bacon, D., Balbinot, E., Banerji, M., Banik, N., Barkhouse, W., Baumer, M., Baxter, E., Bechtol, K., Becker, M. R., Benoit-Levy, A., Benson, B. A., Bernstein, G. M., Bertin, E., Blazek, J., Bridle, S. L., Brooks, D., Brout, D., Buckley-Geer, E., Burke, D. L., Busha, M. T., Campos, A. [UNESP], Capozzi, D., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., Cawthon, R., Chang, C., Chen, N., Childress, M., Choi, A., Conselice, C., Crittenden, R., Crocce, M., Cunha, C. E., D'Andrea, C. B., Costa, L. N. da, Das, R., Davis, T. M., Davis, C., De Vicente, J., DePoy, D. L., DeRose, J., Desai, S., Diehl, H. T., Dietrich, J. P., Dodelson, S., Doel, P., Drlica-Wagner, A., Eifler, T. F., Elliott, A. E., Elsner, F., Elvin-Poole, J., Estrada, J., Evrard, A. E., Fang, Y., Fernandez, E., Ferte, A., Finley, D. A., Flaugher, B., Fosalba, P., Friedrich, O., Frieman, J., Garcia-Bellido, J., Garcia-Fernandez, M., Gatti, M., Gaztanaga, E., Gerdes, D. W., Giannantonio, T., Gill, M. S. S., Glazebrook, K., Goldstein, D. A., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hamilton, S., Hartley, W. G., Hinton, S. R., Honscheid, K., Hoyle, B., Huterer, D., Jain, B., James, D. J., Jarvis, M., Jeltema, T., Johnson, M. D., Johnson, M. W. G., Kacprzak, T., Kent, S., Kim, A. G., King, A., Kirk, D., Kokron, N., Kovacs, A., Krause, E., Krawiec, C., Kremin, A., Kuehn, K., Kuhlmann, S., Kuropatkin, N., Lacasa, F. [UNESP], Lahav, O., Li, T. S., Liddle, A. R., Lidman, C., Lima, M., Lin, H., MacCrann, N., Maia, M. A. G., Makler, M., Manera, M., March, M., Marshall, J. L., Martini, P., McMahon, R. G., Melchior, P., Menanteau, F., Miquel, R., Miranda, V., Mudd, D., Muir, J., Moller, A., Neilsen, E., Nichol, R. C., Nord, B., Nugent, P., Ogando, R. L. C., Palmese, A., Peacock, J., Peiris, H. V., Peoples, J., Percival, W. J., Petravick, D., Plazas, A. A., Porredon, A., Prat, J., Pujol, A., Rau, M. M., Refregier, A., Ricker, P. M., Roe, N., Rollins, R. P., Romer, A. K., Roodman, A., Rosenfeld, R. [UNESP], Ross, A. J., Rozo, E., Rykoff, E. S., Sako, M., Salvador, A. I., Samuroff, S., Sanchez, C., Sanchez, E., Santiago, B., Scarpine, V., Schindler, R., Scolnic, D., Secco, L. F., Serrano, S., Sevilla-Noarbe, I., Sheldon, E., Smith, R. C., Smith, M., Smith, J., Soares-Santos, M., Sobreira, F., Suchyta, E., Tarle, G., Thomas, D., Troxel, M. A., Tucker, D. L., Tucker, B. E., Uddin, S. A., Varga, T. N., Vielzeuf, P., Vikram, V., Vivas, A. K., Walker, A. R., Wang, M., Wechsler, R. H., Weller, J., Wester, W., Wolf, R. C., Yanny, B., Yuan, F., Zenteno, A., Zhang, B., Zhang, Y., Zuntz, J., Dark Energy Survey Collaboration, Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), DES, National Optical Astronomy Observatory, Rhodes University, University College London, IEEC-CSIC, Barcelona Institute of Science and Technology, Fermi National Accelerator Laboratory, Stanford University, ETH Zurich, University of Queensland, ARC Centre of Excellence for All-sky Astrophysics (CAASTRO), University of Portsmouth, Universidad Autonoma de Madrid, University of Surrey, University of Cambridge, Witmer Hall, SLAC National Accelerator Laboratory, University of Pennsylvania, LSST, Institut d'Astrophysique de Paris, University of Chicago, Observatoire de Sauverny, Ohio State University, University of Manchester, Universidade Estadual Paulista (UNESP), Laboratório Interinstitucional de E-Astronomia - LIneA, Observatório Nacional, National Center for Supercomputing Applications, University of Illinois, University of Southampton, School of Physics and Astronomy, University of Michigan, Medioambientales y Tecnológicas (CIEMAT), Texas A and M University, IIT Hyderabad, Excellence Cluster Universe, Ludwig-Maximilians-Universität, California Institute of Technology, University of Edinburgh, Ludwig-Maximilians Universität München, Max Planck Institute for Extraterrestrial Physics, Swinburne University of Technology, 501 Campbell Hall, Lawrence Berkeley National Laboratory, University of Washington, Santa Cruz Institute for Particle Physics, Universidade de São Paulo (USP), Australian Astronomical Observatory, Argonne National Laboratory, Centro Brasileiro de Pesquisas Físicas, Peyton Hall, Institució Catalana de Recerca i Estudis Avançats, Australian National University, University of Sussex, University of Arizona, UFRGS, Brookhaven National Laboratory, Dept. Physics-Astronomy, Universidade Estadual de Campinas (UNICAMP), Oak Ridge National Laboratory, Chinese Academy of Sciences, Cerro Tololo Interamer Observ, Rhodes Univ, UCL, CSIC, Barcelona Inst Sci & Technol, Fermilab Natl Accelerator Lab, Stanford Univ, Swiss Fed Inst Technol, Univ Queensland, ARC Ctr Excellence All Sky Astrophys CAASTRO, Univ Portsmouth, UAM, Univ Surrey, Univ Cambridge, Univ North Dakota, SLAC Natl Accelerator Lab, Univ Penn, CNRS, UPMC Univ Paris 06, Univ Chicago, EPFL, Ohio State Univ, Univ Manchester, Universidade Estadual Paulista (Unesp), Lab Interinst Astron LIneA, Observ Nacl, Natl Ctr Supercomp Applicat, Univ Illinois, Univ Southampton, Univ Nottingham, Univ Michigan, Ctr Invest Energet Medioambient & Tecnol CIEMAT, Texas A&M Univ, Ludwig Maximilians Univ Munchen, CALTECH, Univ Edinburgh, Max Planck Inst Extraterr Phys, Swinburne Univ Technol, Univ Calif Berkeley, Lawrence Berkeley Natl Lab, Univ Washington, Santa Cruz Inst Particle Phys, Australian Astron Observ, Argonne Natl Lab, Ctrt Brasileiro Pesquisas Fisicas, Princeton Univ, Inst Catalana Recerca & Estudis Avancats, Australian Natl Univ, Univ Sussex, Univ Arizona, Univ Fed Rio Grande do Sul, Brookhaven Natl Lab, Austin Peay State Univ, Oak Ridge Natl Lab, and Chinese Acad Sci
- Subjects
Cosmology and Nongalactic Astrophysics (astro-ph.CO) ,Cosmic microwave background ,FOS: Physical sciences ,Astrophysics ,Astrophysics::Cosmology and Extragalactic Astrophysics ,01 natural sciences ,Cosmology ,symbols.namesake ,0103 physical sciences ,Planck ,010303 astronomy & astrophysics ,Weak gravitational lensing ,STFC ,ResearchInstitutes_Networks_Beacons/MERI ,QC ,Physics ,010308 nuclear & particles physics ,Astronomy ,RCUK ,Manchester Environmental Research Institute ,Redshift ,Galaxy ,symbols ,Dark energy ,Neutrino ,[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph] ,Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
We present cosmological results from a combined analysis of galaxy clustering and weak gravitational lensing, using 1321 deg$^2$ 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 $\Lambda$CDM and $w$CDM cosmologies, marginalizing over 20 nuisance parameters, varying 6 (for $\Lambda$CDM) or 7 (for $w$CDM) cosmological parameters including the neutrino mass density and including the 457 $\times$ 457 element analytic covariance matrix. We find consistent cosmological results from these three two-point functions, and from their combination obtain $S_8 \equiv \sigma_8 (\Omega_m/0.3)^{0.5} = 0.783^{+0.021}_{-0.025}$ and $\Omega_m = 0.264^{+0.032}_{-0.019}$ for $\Lambda$CDM for $w$CDM, we find $S_8 = 0.794^{+0.029}_{-0.027}$, $\Omega_m = 0.279^{+0.043}_{-0.022}$, and $w=-0.80^{+0.20}_{-0.22}$ at 68% CL. The precision of these DES Y1 results 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 $S_8$ and $\Omega_m$ are lower than the central values from Planck ..., Comment: Matches published version. Results essentially unchanged, except updated covariance matrix leads to improved chi^2 (colored text removed)
187. WFIRST-2.4: What Every Astronomer Should Know
- Author
-
Spergel, D., Gehrels, N., Breckinridge, J., Donahue, M., Dressler, A., Gaudi, B. S., Greene, T., Guyon, O., Hirata, C., Kalirai, J., Kasdin, N. J., Moos, W., Perlmutter, S., Postman, M., Rauscher, B., Rhodes, J., Wang, Y., Weinberg, D., Centrella, J., Traub, W., Baltay, C., Colbert, J., Bennett, D., Kiessling, A., Macintosh, B., Merten, J., Mortonson, M., Penny, M., Rozo, E., Dmitry Savransky, Stapelfeldt, K., Zu, Y., Baker, C., Cheng, E., Content, D., Dooley, J., Foote, M., Goullioud, R., Grady, K., Jackson, C., Kruk, J., Levine, M., Melton, M., Peddie, C., Ruffa, J., and Shaklan, S.
- Subjects
Astrophysics::Instrumentation and Methods for Astrophysics ,FOS: Physical sciences ,Astrophysics::Earth and Planetary Astrophysics ,Astrophysics::Cosmology and Extragalactic Astrophysics ,Astrophysics - Instrumentation and Methods for Astrophysics ,Instrumentation and Methods for Astrophysics (astro-ph.IM) ,Astrophysics::Galaxy Astrophysics - Abstract
The Astro2010 Decadal Survey recommended a Wide Field Infrared Survey Telescope (WFIRST) as its top priority for a new large space mission. The report of the WFIRST-AFTA Science Definition Team (SDT) presents a Design Reference Mission for WFIRST that employs one of the 2.4-m, Hubble-quality mirror assemblies recently made available to NASA. The 2.4-m primary mirror enables a mission with greater sensitivity and higher angular resolution than the smaller aperture designs previously considered for WFIRST, increasing both the science return of the primary surveys and the capabilities of WFIRST as a Guest Observer facility. The option of adding an on-axis, coronagraphic instrument would enable imaging and spectroscopic studies of planets around nearby stars. This short article, produced as a companion to the SDT report, summarizes the key points of the WFIRST-2.4 DRM. It highlights the remarkable opportunity that the 2.4-m telescope affords for advances in many fields of astrophysics and cosmology, including dark energy, the demographics and characterization of exoplanets, the evolution of galaxies and quasars, and the stellar populations of the Milky Way and its neighbors., 15 pages, 9 figures, 1 table, Companion article to the SDT report, arXiv:1305.5422, added pointer to WFIRST-AFTA SDT report and corrected line color description in Figure 2 caption
188. On the Impact of Cepheid Outliers on the Distance Ladder
- Author
-
Matthew Becker, Desmond, H., Rozo, E., Marshall, P., and Rykoff, E. S.
- Subjects
Cosmology and Nongalactic Astrophysics (astro-ph.CO) ,FOS: Physical sciences ,Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
Recent work by Efstathiou (2014) highlighted the importance of outliers in the period-luminosity (PL) relation of Cepheid data on the distance ladder. We present a statistical framework designed to address this difficulty, and apply it to the Cepheid data from the Milky Way (MW), the Large Magellanic Cloud (LMC), and the Riess et al. (2011) (hereafter R11) dataset. We consider two possible models of the outlier population in the R11 Cepheid dataset. One of these models exhibits tension between the PL relation of the R11 cepheids and the MW+LMC cepheids, while the other does not. We extend our models to adequately account for tension between the cepheid data sets when appropriate. Our outlier treatment has a significant impact on the distance scales to Supernovae hosts with Cepheid distances, increasing the uncertainty in these distances by a median factor of ~30%. We further find that our Cepheid outlier treatment translates into a modest, but non-negligible increase in the statistical uncertainty of H0, adding in quadrature 1.2 km/s/Mpc. Combined with the increased scatter in the Hubble diagram reported by Jones et al. (2015), we find H0=72.6+/-2.8 km/s/Mpc, corresponding to a 3.8% uncertainty in H0 from local measurements. This value is fully consistent with both the Planck and inverse-distance ladder H0 constraints., This paper has been withdrawn as a step in finalizing the analysis was overlooked and is now being addressed
189. Wide-Field Lensing Mass Maps from DES Science Verification Data: Methodology and Detailed Analysis
- Author
-
Vikram, V., Chang, C., Jain, B., Bacon, D., Amara, A., Becker, M. R., Bernstein, G., Bonnett, C., Bridle, S., Brout, D., Busha, M., Frieman, J., Gaztanaga, E., Hartley, W., Jarvis, M., Kacprzak, T., Kovacs, A., Lahav, O., Leistedt, B., Lin, H., Melchior, P., Peiris, H., Rozo, E., Rykoff, E., Sanchez, C., Sheldon, E., Troxel, M. A., 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., Carnero Rosell, A., Carrasco Kind, M., Castander, F. J., Crocce, M., Cunha, C. E., D Andrea, C. B., Da Costa, L. N., Depoy, D. L., Desai, S., Diehl, H. T., Dietrich, J. P., Estrada, J., August Evrard, Fausti Neto, A., 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., and Weller, J.
- Subjects
Cosmology and Nongalactic Astrophysics (astro-ph.CO) ,FOS: Physical sciences ,Astrophysics::Cosmology and Extragalactic Astrophysics ,Astrophysics::Galaxy Astrophysics ,Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
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 sq. deg area from the Dark Energy Survey (DES) Science Verification (SV) data. 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. We demonstrate that candidate superclusters and voids along the line of sight can be identified, exploiting the tight scatter of the cluster photometric redshifts. We cross-correlate the mass map with a foreground magnitude-limited galaxy sample from the same data. Our measurement gives results consistent with mock catalogs from N-body simulations 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. 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., Comment: 21 pages, 14 figures, 2 tables; accepted to PRD
190. First SN Discoveries from the Dark Energy Survey
- Author
-
Abbott, T., Abdalla, F., Achitouv, I., Ahn, E., Aldering, G., Allam, S., Alonso, D., Amara, A., Annis, J., Antonik, M., Aragon-Salamanca, A., Armstrong, R., Ashall, C., Asorey, J., Bacon, D., Balbinot, E., Banerji, M., Barbary, K., Barkhouse, W., Baruah, L., Bauer, A., Bechtol, K., Becker, M., Bender, R., Benoist, C., Benoit-Levy, A., Bernardi, M., Bernstein, G., Bernstein, J. P., Bernstein, R., Bertin, E., Beynon, E., Bhattacharya, S., Biesiadzinski, T., Biswas, R., Blake, C., Bloom, J. S., Bocquet, S., Brandt, C., Bridle, S., Brooks, D., Brown, P. J., Brunner, R., Buckley-Geer, E., Burke, D., Burkert, A., Busha, M., Campa, J., Campbell, H., Cane, R., Capozzi, D., Carlstrom, J., Rosell, A. Carnero, Carollo, M., Carrasco-Kind, M., Carretero, J., Carter, M., Casas, R., Castander, F. J., Chen, Y., Chiu, I., Chue, C., Clampitt, J., Clerkin, L., Cohn, J., Colless, M., Copeland, E., Covarrubias, R. A., Crittenden, R., Crocce, M., Cunha, C., Costa, L. Da, D, C., Andrea, Das, S., Das, R., Davis, T. M., Deb, S., Depoy, D., Derylo, G., Desai, S., Simoni, F., Devlin, M., Diehl, H. T., Dietrich, J., Dodelson, S., Doel, P., Dolag, K., Efstathiou, G., Eifler, T., Erickson, B., Eriksen, M., Estrada, J., Etherington, J., August Evrard, Farrens, S., Neto, A. Fausti, Fernandez, E., Ferreira, P. C., Finley, D., Fischer, J. A., Flaugher, B., Fosalba, P., Frieman, J., Furlanetto, C., Garcia-Bellido, J., Gaztanaga, E., Gelman, M., Gerdes, D., Giannantonio, T., Gilhool, S., Gill, M., Gladders, M., Gladney, L., Glazebrook, K., Gray, M., Gruen, D., Gruendl, R., Gupta, R., Gutierrez, G., Habib, S., Hall, E., Hansen, S., Hao, J., Heitmann, K., Helsby, J., Henderson, R., Hennig, C., High, W., Hirsch, M., Hoffmann, K., Holhjem, K., Honscheid, K., Host, O., Hoyle, B., Hu, W., Huff, E., Huterer, D., Jain, B., James, D., Jarvis, M., Jarvis, M. J., Jeltema, T., Johnson, M., Jouvel, S., Kacprzak, T., Karliner, I., Katsaros, J., Kent, S., Kessler, R., Kim, A., Kim-Vy, T., King, L., Kirk, D., Kochanek, C., Kopp, M., Koppenhoefer, J., Kovacs, E., Krause, E., Kravtsov, A., Kron, R., Kuehn, K., Kuemmel, M., Kuhlmann, S., Kunder, A., Kuropatkin, N., Kwan, J., Lahav, O., Leistedt, B., Levi, M., Lewis, P., Liddle, A., Lidman, C., Lilly, S., Lin, H., Liu, J., Lopez-Arenillas, C., Lorenzon, W., Loverde, M., Ma, Z., Maartens, R., Maccrann, N., Macri, L., Maia, M., Makler, M., Manera, M., Maraston, C., March, M., Markovic, K., Marriner, J., Marshall, J., Marshall, S., Martini, P., Sanahuja, P. Marti, Mayers, J., Mckay, T., Mcmahon, R., Melchior, P., Merritt, K. W., Merson, A., Miller, C., Miquel, R., Mohr, J., Moore, T., Mortonson, M., Mosher, J., Mould, J., Mukherjee, P., Neilsen, E., Ngeow, C., Nichol, R., Nidever, D., Nord, B., Nugent, P., Ogando, R., Old, L., Olsen, J., Ostrovski, F., Paech, K., Papadopoulos, A., Papovich, C., Patton, K., Peacock, J., Pellegrini, P. S. S., Peoples, J., Percival, W., Perlmutter, S., Petravick, D., Plazas, A., Ponce, R., Poole, G., Pope, A., Refregier, A., Reyes, R., Ricker, P., Roe, N., Romer, K., Roodman, A., Rooney, P., Ross, A., Rowe, B., Rozo, E., Rykoff, E., Sabiu, C., Saglia, R., Sako, M., Sanchez, A., Sanchez, C., Sanchez, E., Sanchez, J., Santiago, B., Saro, A., Scarpine, V., Schindler, R., Schmidt, B. P., Schmitt, R. L., Schubnell, M., Seitz, S., Senger, R., Sevilla, I., Sharp, R., Sheldon, E., Sheth, R., Smith, R. C., Smith, M., Snigula, J., Soares-Santos, M., Sobreira, F., Song, J., Soumagnac, M., Spinka, H., Stebbins, A., Stoughton, C., Suchyta, E., Suhada, R., Sullivan, M., Sun, F., Suntzeff, N., Sutherland, W., Swanson, M. E. C., Sypniewski, A. J., Szepietowski, R., Talaga, R., Tarle, G., Tarrant, E., Balan, S. Thaithara, Thaler, J., Thomas, D., Thomas, R. C., Tucker, D., Uddin, S. A., Ural, S., Vikram, V., Voigt, L., Walker, A. R., Walker, T., Wechsler, R., Weinberg, D., Weller, J., Wester, W., Wetzstein, M., White, M., Wilcox, H., Wilman, D., Yanny, B., Young, J., Zablocki, A., Zenteno, A., Zhang, Y., and Zuntz, J.
191. Density split statistics: Cosmological constraints from counts and lensing in cells in DES Y1 and SDSS
- Author
-
Gruen, D., Friedrich, O., Krause, E., Derose, J., Cawthon, R., Davis, C., Elvin-Poole, J., Rykoff, E. S., Wechsler, R. H., Alarcon, A., Bernstein, G. M., Blazek, J., Chang, C., Clampitt, J., Crocce, M., Vicente, J., Gatti, M., Gill, M. S. S., Hartley, W. G., Hilbert, S., Hoyle, B., Jain, B., Jarvis, M., Lahav, O., Maccrann, N., Mcclintock, T., Prat, J., Rollins, R. P., Ross, A. J., Rozo, E., Samuroff, S., Sánchez, C., Sheldon, E., Troxel, M. A., Zuntz, J., Abbott, T. M. C., Abdalla, F. B., Allam, S., Annis, J., Bechtol, K., Benoit-Lévy, A., Bertin, E., Bridle, S. L., Brooks, D., Buckley-Geer, E., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Cunha, C. E., D Andrea, C. B., Da Costa, L. N., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Drlica-Wagner, A., Fernandez, E., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Enrique Gaztanaga, Giannantonio, T., Gruendl, R. A., Gschwend, J., Gutierrez, G., Honscheid, K., James, D. J., Jeltema, T., Kuehn, K., Kuropatkin, N., Lima, M., March, M., Marshall, J. L., Martini, P., Melchior, P., Menanteau, F., Miquel, R., Mohr, J. J., Plazas, A. A., Roodman, A., Sanchez, E., Scarpine, V., Schubnell, M., Sevilla-Noarbe, I., Smith, M., Smith, R. C., Soares-Santos, M., Sobreira, F., Swanson, M. E. C., Tarle, G., Thomas, D., Vikram, V., Walker, A. R., Weller, J., and Zhang, Y.
192. Galaxy-Galaxy Lensing in the DES Science Verification Data
- Author
-
Clampitt, J., Sánchez, C., Kwan, J., Krause, E., Maccrann, N., Park, Y., Troxel, M. A., Jain, B., Rozo, E., Rykoff, E. S., Risa Wechsler, Blazek, J., Bonnett, C., Crocce, M., Fang, Y., Gaztanaga, E., Gruen, D., Jarvis, M., Miquel, R., Prat, J., Ross, A. J., Sheldon, E., Zuntz, J., Abbott, T. M. C., Abdalla, F. B., Armstrong, R., Becker, M. R., Benoit-Lévy, A., Bernstein, G. M., Bertin, E., Brooks, D., Burke, D. L., Carnero Rosell, A., Carrasco Kind, M., Cunha, C. E., D Andrea, C. B., Da Costa, L. N., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Estrada, J., Evrard, A. E., Fausti Neto, A., Flaugher, B., Fosalba, P., Frieman, J., Gruendl, R. A., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Lahav, O., Lima, M., March, M., Marshall, J. L., Martini, P., Melchior, P., Mohr, J. J., Nichol, R. C., Nord, B., Plazas, A. A., Romer, A. K., Sanchez, E., Scarpine, V., Schubnell, M., Sevilla-Noarbe, I., Smith, R. C., Soares-Santos, M., Sobreira, F., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Vikram, V., and Walker, A. R.
- Subjects
Cosmology and Gravitation ,Cosmology and Nongalactic Astrophysics (astro-ph.CO) ,gravitational lensing ,weak ,RCUK ,FOS: Physical sciences ,Astrophysics::Cosmology and Extragalactic Astrophysics ,haloes ,Galaxies ,STFC ,Astrophysics::Galaxy Astrophysics ,Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
We present galaxy-galaxy lensing results from 139 square degrees of Dark Energy Survey (DES) Science Verification (SV) data. Our lens sample consists of red galaxies, known as redMaGiC, which are specifically selected to have a low photometric redshift error and outlier rate. The lensing measurement has a total signal-to-noise of 29 over scales $0.09 < R < 15$ Mpc/$h$, including all lenses over a wide redshift range $0.2 < z < 0.8$. Dividing the lenses into three redshift bins for this constant moving number density sample, we find no evidence for evolution in the halo mass with redshift. We obtain consistent results for the lensing measurement with two independent shear pipelines, ngmix and im3shape. We perform a number of null tests on the shear and photometric redshift catalogs and quantify resulting systematic uncertainties. Covariances from jackknife subsamples of the data are validated with a suite of 50 mock surveys. The results and systematics checks in this work provide a critical input for future cosmological and galaxy evolution studies with the DES data and redMaGiC galaxy samples. We fit a Halo Occupation Distribution (HOD) model, and demonstrate that our data constrains the mean halo mass of the lens galaxies, despite strong degeneracies between individual HOD parameters., 15 pages, 10 figures; Matches version accepted by MNRAS
193. Redshift distributions of galaxies in the DES Science Verification shear catalogue and implications for weak lensing
- Author
-
Bonnett, C., Troxel, M. A., Hartley, W., Amara, A., Leistedt, B., Becker, M. R., Bernstein, G. M., Bridle, S., Bruderer, C., Busha, M. T., Carrasco Kind, M., Childress, M. J., Castander, F. J., Chang, C., Crocce, M., Davis, T. M., Eifler, T. F., Frieman, J., Gangkofner, C., Gaztanaga, E., Glazebrook, K., Gruen, D., Kacprzak, T., King, A., Kwan, J., Lahav, O., Lewis, G., Lidman, C., Lin, H., Maccrann, N., Miquel, R., O Neill, C. R., Palmese, A., Peiris, H. V., Refregier, A., Rozo, E., Rykoff, E. S., Sadeh, I., Sánchez, C., Sheldon, E., Uddin, S., Wechsler, R. H., Zuntz, J., Abbott, T., Abdalla, F. B., Allam, S., Armstrong, R., Banerji, M., Bauer, A. H., Benoit-Lévy, A., Bertin, E., Brooks, D., Buckley-Geer, E., Burke, D. L., Capozzi, D., Carnero Rosell, A., Carretero, J., Cunha, C. E., D Andrea, C. B., Da Costa, L. N., Depoy, D. L., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Fausti Neto, A., Fernandez, E., Flaugher, B., Fosalba, P., Gerdes, D. W., Gruendl, R. A., Honscheid, K., Jain, B., James, D. J., Jarvis, M., Kim, A. G., Kuehn, K., Kuropatkin, N., Li, T. S., Lima, M., Maia, M. A. G., March, M., Marshall, J. L., Martini, P., Melchior, P., Miller, C. J., Neilsen, E., Nichol, R. C., Nord, B., Ogando, R., Plazas, A. A., Reil, K., Romer, A. K., Roodman, A., Sako, M., Sanchez, E., Santiago, B., Smith, R. C., Soares-Santos, M., Sobreira, F., Eric Suchyta, Swanson, M. E. C., Tarle, G., Thaler, J., Thomas, D., Vikram, V., and Walker, A. R.
- Subjects
Cosmology and Nongalactic Astrophysics (astro-ph.CO) ,Astrophysics::Instrumentation and Methods for Astrophysics ,Astrophysics::Solar and Stellar Astrophysics ,FOS: Physical sciences ,Astrophysics::Cosmology and Extragalactic Astrophysics ,Astrophysics::Galaxy Astrophysics ,Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
We present photometric redshift estimates for galaxies used in the weak lensing analysis of the Dark Energy Survey Science Verification (DES SV) data. Four model- or machine learning-based photometric redshift methods -- ANNZ2, BPZ calibrated against BCC-Ufig simulations, SkyNet, and TPZ -- are analysed. For training, calibration, and testing of these methods, we construct a catalogue of spectroscopically confirmed galaxies matched against DES SV data. The performance of the methods is evaluated against the matched spectroscopic catalogue, focusing on metrics relevant for weak lensing analyses, with additional validation against COSMOS photo-zs. From the galaxies in the DES SV shear catalogue, which have mean redshift $0.72\pm0.01$ over the range $0.3, Comment: high-resolution versions of figures can be downloaded from http://deswl.github.io
194. Dark Energy Survey Year 1 Results: Cross-Correlation Redshifts in the DES -- Calibration of the Weak Lensing Source Redshift Distributions
- Author
-
Davis, C., Gatti, M., Vielzeuf, P., Cawthon, R., Rozo, E., Alarcon, A., Bernstein, G. M., Bonnett, C., Carnero Rosell, A., Castander, F. J., Chang, C., Da Costa, L. N., Davis, T. M., Vicente, J., Derose, J., Drlica-Wagner, A., Elvin-Poole, J., Enrique Gaztanaga, Gruen, D., Gschwend, J., Hartley, W. G., Hoyle, B., Lin, H., Maia, M. A. G., Miquel, R., Ogando, R. L. C., Rau, M. M., Roodman, A., Rykoff, E. S., Sevilla-Noarbe, I., Troxel, M. A., Wechsler, R. H., Abbott, T. M. C., Abdalla, F. B., Allam, S., Annis, J., Bechtol, K., Benoit-Lévy, A., Brooks, D., Buckley-Geer, E., Burke, D. L., Carrasco Kind, M., Carretero, J., Crocce, M., Cunha, C. E., Desai, S., Diehl, H. T., Doel, P., Eifler, T. F., Flaugher, B., Frieman, J., García-Bellido, J., Gerdes, D. W., Gruendl, R. A., Gutierrez, G., Honscheid, K., James, D. J., Jeltema, T., Krause, E., Kron, R., Kuehn, K., Kuropatkin, N., Lahav, O., Lima, M., March, M., Marshall, J. L., Menanteau, F., Nichol, R. C., Nord, B., Plazas, A. A., Sanchez, E., Scarpine, V., Schindler, R., Smith, M., Soares-Santos, M., Sobreira, F., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Tucker, D. L., Vikram, V., Walker, A. R., and Zuntz, J.
- Subjects
Cosmology and Nongalactic Astrophysics (astro-ph.CO) ,FOS: Physical sciences ,Astrophysics::Cosmology and Extragalactic Astrophysics ,Astrophysics::Galaxy Astrophysics ,Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
We present the calibration of the Dark Energy Survey Year 1 (DES Y1) weak lensing source galaxy redshift distributions from clustering measurements. By cross-correlating the positions of source galaxies with luminous red galaxies selected by the redMaGiC algorithm we measure the redshift distributions of the source galaxies as placed into different tomographic bins. These measurements constrain any such shifts to an accuracy of $\sim0.02$ and can be computed even when the clustering measurements do not span the full redshift range. The highest-redshift source bin is not constrained by the clustering measurements because of the minimal redshift overlap with the redMaGiC galaxies. We compare our constraints with those obtained from $\texttt{COSMOS}$ 30-band photometry and find that our two very different methods produce consistent constraints., 13 pages, 7 figures. Submitting to MNRAS. Feedback welcome!
195. CODEX weak lensing: concentration of galaxy clusters at z similar to 0.5
- Author
-
Cibirka, N., Cypriano, E. S., Brimioulle, F., Gruen, D., Erben, T., Van Waerbeke, L., Miller, L., Finoguenov, A., Kirkpatrick, C., Henry, J. Patrick, Rykoff, E., Rozo, E., Dupke, R., Kneib, J. -P., Shan, H., and Spinelli, P.
- Subjects
gravitational lensing: weak ,galaxies: clusters: general ,dark matter - Abstract
We present a stacked weak-lensing analysis of 27 richness selected galaxy clusters at 0.40
196. OBSERVATION AND CONFIRMATION OF SIX STRONG-LENSING SYSTEMS IN THE DARK ENERGY SURVEY SCIENCE VERIFICATION DATA
- Author
-
Nord, B., Buckley-Geer, E., Lin, H., Diehl, H. T., Helsby, J., Kuropatkin, N., Amara, A., Collett, T., Allam, S., Caminha, G. B., Bom, C., Desai, S., Dúmet-Montoya, H., Pereira, M. Elidaiana Da S., Finley, D. A., Flaugher, B., Cristina Furlanetto, Gaitsch, H., Gill, M., Merritt, K. W., More, A., Tucker, D., Saro, A., Rykoff, E. S., Rozo, E., Birrer, S., Abdalla, F. B., Agnello, A., Auger, M., Brunner, R. J., Carrasco Kind, M., Castander, F. J., Cunha, C. E., Da Costa, L. N., Foley, R. J., Gerdes, D. W., Glazebrook, K., Gschwend, J., Hartley, W., Kessler, R., Lagattuta, D., Lewis, G., Maia, M. A. G., Makler, M., Menanteau, F., Niernberg, A., Scolnic, D., Vieira, J. D., Gramillano, R., Abbott, T. M. C., Banerji, M., Benoit-Lévy, A., Brooks, D., Burke, D. L., Capozzi, D., Carnero Rosell, A., Carretero, J., D Andrea, C. B., Dietrich, J. P., Doel, P., Evrard, A. E., Frieman, J., Gaztanaga, E., Gruen, D., Honscheid, K., James, D. J., Kuehn, K., Li, T. S., Lima, M., Marshall, J. L., Martini, P., Melchior, P., Miquel, R., Neilsen, E., Nichol, R. C., Ogando, R., Plazas, A. A., Romer, A. K., Sako, M., Sanchez, E., Scarpine, V., Schubnell, M., Sevilla-Noarbe, I., Smith, R. C., Soares-Santos, M., Sobreira, F., Suchyta, E., Swanson, M. E. C., Tarle, G., Thaler, J., Walker, A. R., Wester, W., Zhang, Y., and Collaboration, D. E. S.
197. Dark Energy Survey Year 1 Results: Tomographic cross-correlations between Dark Energy Survey galaxies and CMB lensing from South Pole Telescope plus Planck
- Author
-
Omori, Y., Giannantonio, T., Porredon, A., Baxter, E. J., Chang, C., Crocce, M., Fosalba, P., Alarcon, A., Banik, N., Blazek, J., Bleem, L. E., Bridle, S. L., Cawthon, R., Choi, A., Chown, R., Crawford, T., Dodelson, S., Drlica-Wagner, A., Eifler, T. F., Elvin-Poole, J., Friedrich, O., Gruen, D., Holder, G. P., Huterer, D., Jain, B., Jarvis, M., Kirk, D., Kokron, N., Krause, E., MacCrann, N., Muir, J., Prat, J., Reichardt, C. L., Ross, A. J., Rozo, E., Rykoff, E. S., Sanchez, C., Secco, L. F., Simard, G., Wechsler, R. H., Zuntz, J., Abbott, T. M. C., Abdalla, F. B., Allam, S., Avila, S., Aylor, K., Benson, B. A., Bernstein, G. M., Bertin, E., Bianchini, F., Brooks, D., Buckley-Geer, E., Burke, D. L., Carlstrom, J. E., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Castander, F. J., Chang, C. L., Cho, H-M, Crites, A. T., Cunha, C. E., da Costa, L. N., de Haan, T., Davis, C., De Vicente, J., Desai, S., Diehl, H. T., Dietrich, J. P., Dobbs, M. A., Everett, W. B., Doel, P., Estrada, J., Flaugher, B., Frieman, J., Garcia-Bellido, J., Gaztanaga, E., Gerdes, D. W., George, E. M., Gruendl, R. A., Gschwend, J., Gutierrez, G., Halverson, N. W., Harrington, N. L., Hartley, W. G., Hollowood, D. L., Holzapfel, W. L., Honscheid, K., Hou, Z., Hoyle, B., Hrubes, J. D., James, D. J., Jeltema, T., Kuehn, K., Kuropatkin, N., Lee, A. T., Leitch, E. M., Lima, M., Luong-Van, D., Manzotti, A., Marrone, D. P., Marshall, J. L., McMahon, J. J., Melchior, P., Menanteau, F., Meyer, S. S., Miller, C. J., Miquel, R., Mocanu, L. M., Mohr, J. J., Natoli, T., Padin, S., Plazas, A. A., Pryke, C., Romer, A. K., Roodman, A., Ruhl, J. E., Sanchez, E., Scarpine, V, Schaffer, K. K., Schubnell, M., Serrano, S., Sevilla-Noarbe, I, Shirokoff, E., Smith, M., Soares-Santos, M., Sobreira, F., Staniszewski, Z., Stark, A. A., Story, K. T., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Troxel, M. A., Vanderlinde, K., Vieira, J. D., Walker, A. R., Wu, W. L. K., and Zahn, O.
- Subjects
Astrophysics::Instrumentation and Methods for Astrophysics ,Astrophysics::Cosmology and Extragalactic Astrophysics ,des ,sdss ,cosmology ,efficient - Abstract
We measure the cross-correlation between REDMAGIC galaxies selected from the Dark Energy Survey (DES) year 1 data and gravitational lensing of the cosmic microwave background (CMB) reconstructed from South Pole Telescope (SPT) and Planck data over 1289 deg(2). When combining measurements across multiple galaxy redshift bins spanning the redshift range of 0.15 < z < 0.90, we reject the hypothesis of no correlation at 19.9 sigma significance. When removing small-scale data points where thermal Sunyaev-Zel'dovich signal and nonlinear galaxy bias could potentially bias our results, the detection significance is reduced to 9.9 sigma. We perform a joint analysis of galaxy-CMB lensing cross-correlations and galaxy clustering to constrain cosmology, finding Omega m = 0.276(-0.030)(+0.029) and S-8 = sigma(8) root Omega(m)/0.3 = 0.800(-0.094)(+0.090). we also perform two alternate analyses aimed at constraining only the growth rate of cosmic structure as a function of redshift, finding consistency with predictions from the concordance Lambda CDM model. The measurements presented here are part of a joint cosmological analysis that combines galaxy clustering, galaxy lensing and CMB lensing using data from DES, SPT and Planck.
198. A Measurement of CMB Cluster Lensing with SPT and DES Year 1 Data
- Author
-
Baxter, E. J., Raghunathan, S., Crawford, T. M., Fosalba, P., Hou, Z., Holder, G. P., Omori, Y., Patil, S., Rozo, E., Abbott, T. M. C., Annis, J., Aylor, K., Benoit-Lévy, A., Benson, B. A., Bertin, E., Bleem, L., Buckley-Geer, E., Burke, D. L., Carlstrom, J., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Chang, C. L., Cho, H. M., Crites, A. T., Crocce, M., Cunha, C. E., Da Costa, L. N., D Andrea, C. B., Davis, C., Haan, T., Desai, S., Dobbs, M. A., Dodelson, S., Dietrich, J. P., Doel, P., Drlica-Wagner, A., Estrada, J., Everett, W. B., Fausti Neto, A., Flaugher, B., Frieman, J., García-Bellido, J., George, E. M., Enrique Gaztanaga, Giannantonio, T., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Halverson, N. W., Harrington, N. L., Hartley, W. G., Holzapfel, W. L., Honscheid, K., Hrubes, J. D., Jain, B., James, D. J., Jarvis, M., Jeltema, T., Knox, L., Krause, E., Kuehn, K., Kuhlmann, S., Kuropatkin, N., Lahav, O., Lee, A. T., Leitch, E. M., Li, T. S., Lima, M., Luong-Van, D., Manzotti, A., March, M., Marrone, D. P., Marshall, J. L., Martini, P., Mcmahon, J. J., Melchior, P., Menanteau, F., Meyer, S. S., Miller, C. J., Miquel, R., Mocanu, L. M., Mohr, J. J., Natoli, T., Nord, B., Ogando, R. L. C., Padin, S., Plazas, A. A., Pryke, C., Rapetti, D., Reichardt, C. L., Romer, A. K., Roodman, A., Ruhl, J. E., Sako, M., Sanchez, E., Sayre, J. T., Scarpine, V., Schaffer, K. K., Schindler, R., Schubnell, M., Sevilla-Noarbe, I., Shirokoff, E., Smith, M., Smith, R. C., Soares-Santos, M., Staniszewski, F. Z., Stark, A., Story, K., Suchyta, E., Tarle, G., Thomas, D., Troxel, M. A., Vanderlinde, K., Vieira, J. D., Walker, A. R., Williamson, R., Zhang, Y., and Zuntz, J.
199. Wide-Field InfraRed Survey Telescope-Astrophysics Focused Telescope Assets WFIRST-AFTA Final Report
- Author
-
Spergel, D., Gehrels, N., Breckinridge, J., Donahue, M., Dressler, A., Gaudi, B. S., Greene, T., Guyon, O., Hirata, C., Kalirai, J., Kasdin, N. J., Moos, W., Perlmutter, S., Postman, M., Rauscher, B., Rhodes, J., Wang, Y., Weinberg, D., Centrella, J., Traub, W., Baltay, C., Colbert, J., Bennett, D., Kiessling, A., Macintosh, B., Merten, J., Mortonson, M., Penny, M., Rozo, E., Savransky, D., Stapelfeldt, K., Ying Zu, Baker, C., Cheng, E., Content, D., Dooley, J., Foote, M., Goullioud, R., Grady, K., Jackson, C., Kruk, J., Levine, M., Melton, M., Peddie, C., Ruffa, J., and Shaklan, S.
- Subjects
FOS: Physical sciences ,Astrophysics - Instrumentation and Methods for Astrophysics ,Instrumentation and Methods for Astrophysics (astro-ph.IM) - Abstract
The Astro2010 Decadal Survey recommended a Wide Field Infrared Survey Telescope (WFIRST) as its top priority for a new large space mission. As conceived by the decadal survey, WFIRST would carry out a dark energy science program, a microlensing program to determine the demographics of exoplanets, and a general observing program utilizing its ultra wide field. In October 2012, NASA chartered a Science Definition Team (SDT) to produce, in collaboration with the WFIRST Project Office at GSFC and the Program Office at JPL, a Design Reference Mission (DRM) for an implementation of WFIRST using one of the 2.4-m, Hubble-quality mirror assemblies recently made available to NASA. This DRM builds on the work of the earlier WFIRST SDT, reported by Green et al. (2012). The 2.4-m primary mirror enables a mission with greater sensitivity and higher angular resolution than the 1.3-m and 1.1-m designs considered previously, increasing both the science return of the primary surveys and the capabilities of WFIRST as a Guest Observer facility. The option of adding an on-axis, coronagraphic instrument would enable imaging and spectroscopic studies of planets around nearby stars. This document presents the final report of the SDT., Comment: 190 pages, 118 figures, 15 tables, For a short summary of the report highlights, see arXiv:1305.5425, added pointer to the summary of this report and corrected line labels in the caption of Figure 2-2
200. Exploiting Cross Correlations and Joint Analyses
- Author
-
Rhodes, J., Allen, S., Benson, B. A., Chang, T., Putter, R., Dodelson, S., Dore, O., Honscheid, K., Linder, E., Menard, B., Newman, J., Brian Nord, Rozo, E., Vallinotto, A., and Weinberg, D.
- Subjects
Cosmology and Nongalactic Astrophysics (astro-ph.CO) ,FOS: Physical sciences ,Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
In this report, we present a wide variety of ways in which information from multiple probes of dark energy may be combined to obtain additional information not accessible when they are considered separately. Fundamentally, because all major probes are affected by the underlying distribution of matter in the regions studied, there exist covariances between them that can provide information on cosmology. Combining multiple probes allows for more accurate (less contaminated by systematics) and more precise (since there is cosmological information encoded in cross-correlation statistics) measurements of dark energy. The potential of cross-correlation methods is only beginning to be realized. By bringing in information from other wavelengths, the capabilities of the existing probes of dark energy can be enhanced and systematic effects can be mitigated further. We present a mixture of work in progress and suggestions for future scientific efforts. Given the scope of future dark energy experiments, the greatest gains may only be realized with more coordination and cooperation between multiple project teams; we recommend that this interchange should begin sooner, rather than later, to maximize scientific gains., Report from the "Dark Energy and CMB" working group for the American Physical Society's Division of Particles and Fields long-term planning exercise ("Snowmass")
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.