Joint analysis of Dark Energy Survey Year 3 data and CMB lensing from SPT and Planck . I. Construction of CMB lensing maps and modeling choices

Omori, Y.; Baxter, E. J.; Chang, C.; Friedrich, O.; Alarcon, A.; Alves, O.; Amon, A.; Andrade-Oliveira, F.; Bechtol, K.; Becker, M. R.; Bernstein, G. M.; Blazek, J.; Bleem, L. E.; Camacho, H.; Campos, A.; Carnero Rosell, A.; Carrasco Kind, M.; Cawthon, R.; Chen, R.; Choi, A.; Cordero, J.; Crawford, T. M.; Crocce, M.; Davis, C.; DeRose, J.; Dodelson, S.; Doux, C.; Drlica-Wagner, A.; Eckert, K.; Eifler, T. F.; Elsner, F.; Elvin-Poole, J.; Everett, S.; Fang, X.; Ferté, A.; Fosalba, P.; Gatti, M.; Giannini, G.; Gruen, D.; Gruendl, R. A.; Harrison, I.; Herner, K.; Huang, H.; Huff, E. M.; Huterer, D.; Jarvis, M.; Krause, E.; Kuropatkin, N.; Leget, P.-F.; Lemos, P.; Liddle, A. R.; MacCrann, N.; McCullough, J.; Muir, J.; Myles, J.; Navarro-Alsina, A.; Pandey, S.; Park, Y.; Porredon, A.; Prat, J.; Raveri, M.; Rollins, R. P.; Roodman, A.; Rosenfeld, R.; Ross, A. J.; Rykoff, E. S.; Sánchez, C.; Sanchez, J.; Secco, L. F.; Sevilla-Noarbe, I.; Sheldon, E.; Shin, T.; Troxel, M. A.; Tutusaus, I.; Varga, T. N.; Weaverdyck, N.; Wechsler, R. H.; Wu, W. L. K.; Yanny, B.; Yin, B.; Zhang, Y.; Zuntz, J.; Abbott, T. M. C.; Aguena, M.; Allam, S.; Annis, J.; Bacon, D.; Benson, B. A.; Bertin, E.; Bocquet, S.; Brooks, D.; Burke, D. L.; Carlstrom, J. E.; Carretero, J.; Chang, C. L.; Chown, R.; Costanzi, M.; da Costa, L. N.; Crites, A. T.; Pereira, M. E. S.; de Haan, T.; De Vicente, J.; Desai, S.; Diehl, H. T.; Dobbs, M. A.; Doel, P.; Everett, W.; Ferrero, I.; Flaugher, B.; Friedel, D.; Frieman, J.; García-Bellido, J.; Gaztanaga, E.; George, E. M.; Giannantonio, T.; Halverson, N. W.; Hinton, S. R.; Holder, G. P.; Hollowood, D. L.; Holzapfel, W. L.; Honscheid, K.; Hrubes, J. D.; James, D. J.; Knox, L.; Kuehn, K.; Lahav, O.; Lee, A. T.; Lima, M.; Luong-Van, D.; March, M.; McMahon, J. J.; Melchior, P.; Menanteau, F.; Meyer, S. S.; Miquel, R.; Mocanu, L.; Mohr, J. J.; Morgan, R.; Natoli, T.; Padin, S.; Palmese, A.; Paz-Chinchón, F.; Pieres, A.; Plazas Malagón, A. A.; Pryke, C.; Reichardt, C. L.; Romer, A. K.; Ruhl, J. E.; Sanchez, E.; Schaffer, K. K.; Schubnell, M.; Serrano, S.; Shirokoff, E.; Smith, M.; Staniszewski, Z.; Stark, A. A.; Suchyta, E.; Tarle, G.; Thomas, D.; To, C.; Vieira, J. D.; Weller, J.; Williamson, R.

doi:10.1103/PhysRevD.107.023529

We measured the cross-correlation between galaxy weak lensing data from the Kilo Degree Survey (KiDS-1000, DR4) and cosmic microwave background (CMB) lensing data from the Atacama Cosmology Telescope (ACT, DR4) and the Planck Legacy survey. We used two samples of source galaxies, selected with photometric redshifts, (0.1 < z B < 1.2) and (1.2 < z B < 2), which produce a combined detection significance of the CMB lensing and weak galaxy lensing cross-spectrum of 7.7 σ . With the lower redshift galaxy sample, for which the cross-correlation was detected at a significance of 5.3 σ , we present joint cosmological constraints on the matter density parameter, Ω m , and the matter fluctuation amplitude parameter, σ 8 , marginalising over three nuisance parameters that model our uncertainty in the redshift and shear calibration as well as the intrinsic alignment of galaxies. We find our measurement to be consistent with the best-fitting flat ΛCDM cosmological models from both Planck and KiDS-1000. We demonstrate the capacity of CMB weak lensing cross-correlations to set constraints on either the redshift or shear calibration by analysing a previously unused high-redshift KiDS galaxy sample (1.2 < z B < 2), with the cross-correlation detected at a significance of 7 σ . This analysis provides an independent assessment for the accuracy of redshift measurements in a regime that is challenging to calibrate directly owing to known incompleteness in spectroscopic surveys.

More Like this