Showing results 34 to 49 of 49
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| Publication Date | Article Title | Author(s) |
| May-2020 | First cosmology results using type Ia supernovae from the Dark Energy Survey: the effect of host galaxy properties on supernova luminosity | Smith, M; Sullivan, M; Wiseman, P; Kessler, R; Scolnic, D; et al |
| Jan-2018 | Galaxy bias from galaxy-galaxy lensing in the DES science verification data | Prat, J; Sanchez, C; Miquel, R; Kwan, J; Blazek, J; et al |
| Nov-2019 | H0LiCOW-X. Spectroscopic/imaging survey and galaxy-group identification around the strong gravitational lens system WFI 2033-4723 | Sluse, D; Rusu, CE; Fassnacht, CD; Sonnenfeld, A; Richard, J; et al |
| Jul-2019 | Identification of RR Lyrae Stars in Multiband, Sparsely Sampled Data from the Dark Energy Survey Using Template Fitting and Random Forest Classification | Stringer, KM; Long, JP; Macri, LM; Marshall, JL; Drlica-Wagner, A; et al |
| Sep-2018 | Improving weak lensing mass map reconstructions using Gaussian and sparsity priors: application to DES SV | Jeffrey, N; Abdalla, FB; Lahav, O; Lanusse, F; Starck, J-L; et al |
| Mar-2019 | Is every strong lens model unhappy in its own way? Uniform modelling of a sample of 13 quadruply+ imaged quasars | Shajib, AJ; Birrer, S; Treu, T; Auger, MW; Agnello, A; et al |
| Jun-2020 | A joint SZ-X-ray-optical analysis of the dynamical state of 288 massive galaxy clusters | Zenteno, A; Hernandez-Lang, D; Klein, M; Cervantes, C Vergara; Hollowood, DL; et al |
| 20-Feb-2019 | Mass Calibration of Optically Selected DES Clusters Using a Measurement of CMB-cluster Lensing with SPTpol Data | Raghunathan, S; Patil, S; Baxter, E; Benson, BA; Bleem, LE; et al |
| May-2018 | A measurement of CMB cluster lensing with SPT and DES year 1 data | Baxter, EJ; Raghunathan, S; Crawford, TM; Fosalba, P; Hou, Z; et al |
| 15-Apr-2020 | Monte Carlo control loops for cosmic shear cosmology with DES Year 1 data | Kacprzak, T; Herbel, J; Nicola, A; Sgier, R; Tarsitano, F; et al |
| May-2020 | Observation and confirmation of nine strong-lensing systems in Dark Energy Survey Year 1 data | Nord, B; Buckley-Geer, E; Lin, H; Kuropatkin, N; Collett, T; et al |
| Aug-2019 | On the relative bias of void tracers in the Dark Energy Survey | Pollina, G; Hamaus, N; Paech, K; Dolag, K; Weller, J; et al |
| Oct-2019 | Phenotypic redshifts with self-organizing maps: A novel method to characterize redshift distributions of source galaxies for weak lensing | Buchs, R; Davis, C; Gruen, D; DeRose, J; Alarcon, A; et al |
| Jul-2020 | Supernova host galaxies in the dark energy survey: I. Deep coadds, photometry, and stellar masses | Wiseman, P; Smith, M; Childress, M; Kelsey, L; Moller, A; et al |
| Mar-2019 | Transfer learning for galaxy morphology from one survey to another | Sanchez, H Dominguez; Huertas-Company, M; Bernardi, M; Kaviraj, S; Fischer, JL; et al |
| Aug-2017 | Weak-lensing mass calibration of redMaPPer galaxy clusters in Dark Energy Survey Science Verification data | Melchior, Peter M; Gruen, D; McClintock, T; Varga, TN; Sheldon, E; et al |
