4.7 Article

Fractional polarization of extragalactic sources in the 500 deg2 SPTpol survey

Journal

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Volume 490, Issue 4, Pages 5712-5721

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/mnras/stz2905

Keywords

polarization; galaxies: active; cosmology: observations

Funding

  1. National Science Foundation [PLR-1248097]
  2. NSF Physics Frontier Center grant [PHY-1125897]
  3. Kavli Foundation
  4. Gordon and Betty Moore Foundation [GBMF 947]
  5. Office of Science of the U.S. Department of Energy [DE-AC02-05CH11231]
  6. Australian Research Council [DP150103208]
  7. STFC [ST/S00033X/1] Funding Source: UKRI

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We study the polarization properties of extragalactic sources at 95 and 150 GHz in the SPTpol 500 deg(2) survey. We estimate the polarized power by stacking maps at known source positions, and correct for noise bias by subtracting the mean polarized power at random positions in the maps. We show that the method is unbiased using a set of simulated maps with similar noise properties to the real SPTpol maps. We find a flux-weighted mean-squared polarization fraction < p(2)> = [8.9 +/- 1.1] x 10(-4) at 95 GHz and [6.9 +/- 1.1] x 10(-4) at 150 GHz for the full sample. This is consistent with the values obtained for a subsample of active galactic nuclei. For dusty sources, we find 95 per cent upper limits of < p(2)> 95 < 16.9 x 10(-3) and < p(2)> 150 < 2.6 x 10(-3). We find no evidence that the polarization fraction depends on the source flux or observing frequency. The 1 sigma upper limit on measured mean-squared polarization fraction at 150 GHz implies that extragalactic foregrounds will be subdominant to the CMB E and B mode polarization power spectra out to at least l less than or similar to 5700 (l less than or similar to 4700) and l less than or similar to 5300 (l less than or similar to 3600), respectively, at 95 (150) GHz.

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Article Astronomy & Astrophysics

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

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

Summary: Joint analyses of cross-correlations between galaxy measurements and lensing of the cosmic microwave background (CMB) provide powerful constraints on the large-scale structure of the Universe. In this article, we present an improved CMB lensing map in the SPT-SZ survey footprint and the analysis methodology to extract cosmological information. We find that the joint analysis of CMB lensing cross-correlations can provide constraints on the shear calibration amplitude at the 5% to 10% level.

PHYSICAL REVIEW D (2023)

Article Astronomy & Astrophysics

Measurement of the mean central optical depth of galaxy clusters via the pairwise kinematic Sunyaev-Zel'dovich effect with SPT-3G and DES

E. Schiappucci, F. Bianchini, M. Aguena, M. Archipley, L. Balkenhol, L. E. Bleem, P. Chaubal, T. M. Crawford, S. Grandis, Y. Omori, C. L. Reichardt, E. Rozo, E. S. Rykoff, C. To, T. M. C. Abbott, P. A. R. Ade, O. Alves, A. J. Anderson, F. Andrade-Oliveira, J. Annis, J. S. Avva, D. Bacon, K. Benabed, A. N. Bender, B. A. Benson, G. M. Bernstein, E. Bertin, S. Bocquet, F. R. Bouchet, D. Brooks, D. L. Burke, J. E. Carlstrom, A. Carnero Rosell, M. Carrasco Kind, J. Carretero, T. W. Cecil, C. L. Chang, P. M. Chichura, T. -L. Chou, M. Costanzi, A. Cukierman, L. N. da Costa, C. Daley, T. de Haan, S. Desai, K. R. Dibert, H. T. Diehl, M. A. Dobbs, P. Doel, C. Doux, D. Dutcher, S. Everett, W. Everett, C. Feng, K. R. Ferguson, I. Ferrero, A. Ferte, B. Flaugher, A. Foster, J. Frieman, S. Galli, A. E. Gambrel, J. Garcia-Bellido, R. W. Gardner, M. Gatti, T. Giannantonio, N. Goeckner-Wald, D. Gruen, R. Gualtieri, S. Guns, G. Gutierrez, N. W. Halverson, S. R. Hinton, E. Hivon, G. P. Holder, D. L. Hollowood, W. L. Holzapfel, K. Honscheid, J. C. Hood, N. Huang, D. J. James, L. Knox, M. Korman, K. Kuehn, C. -L. Kuo, O. Lahav, A. T. Lee, C. Lidman, M. Lima, A. E. Lowitz, C. Lu, M. March, J. Mena-Fernandez, F. Menanteau, M. Millea, R. Miquel, J. J. Mohr, J. Montgomery, J. Muir, T. Natoli, G. I. Noble, V. Novosad, R. L. C. Ogando, S. Padin, Z. Pan, F. Paz-Chinchon, M. E. S. Pereira, A. Pieres, A. A. Plazas Malagon, K. Prabhu, J. Prat, W. Quan, A. Rahlin, M. Raveri, M. Rodriguez-Monroy, A. K. Romer, M. Rouble, J. E. Ruhl, E. Sanchez, V. Scarpine, M. Schubnell, G. Smecher, M. Smith, M. Soares-Santos, J. A. Sobrin, E. Suchyta, A. Suzuki, G. Tarle, D. Thomas, K. L. Thompson, B. Thorne, C. Tucker, C. Umilta, J. D. Vieira, M. Vincenzi, G. Wang, N. Weaverdyck, J. Weller, N. Whitehorn, W. L. K. Wu, V. Yefremenko, M. R. Young

Summary: We use the pairwise kinematic Sunyaev-Zel'dovich (KSZ) effect to infer the average optical depth of a sample of optically selected galaxy clusters from the Dark Energy Survey. The pairwise KSZ signal is detected at 4.1 sigma in cosmic microwave background temperature maps from two years of observations with the SPT-3G camera. After data cuts, there are 24,580 clusters in the observed area. We calculate the mean optical depth using two techniques: the pairwise KSZ signal gives tau over bar e = (2.97 +/- 0.73) x 10-3, while the thermal SZ signal gives tau over bar e = (2.51 +/- 0.55stat +/- 0.15syst) x 10-3. The two measures agree within 0.6 sigma. We perform systematic checks to ensure the validity of our analysis.

PHYSICAL REVIEW D (2023)

Article Astronomy & Astrophysics

Inference of gravitational lensing and patchy reionization with future CMB data

Federico Bianchini, Marius Millea

Summary: We have developed an optimal Bayesian solution to jointly infer secondary signals in the cosmic microwave background (CMB) from gravitational lensing and patchy screening during reionization. This method extracts the complete information content from the data and improves upon previous quadratic estimators. Our forecast constraints, obtained using the marginal unbiased score expansion method, show that the signal is mainly dominated by CMB polarization and depends on the specific details of reionization. For models consistent with current data, SPT-3G can detect the cross-correlation between lensing and screening, while CMB-S4 can detect the autocorrelation. Models with lower screening signals can still be detected with CMB-S4 through their lensing cross-correlation.

PHYSICAL REVIEW D (2023)

Article Astronomy & Astrophysics

Deep learning for morphological identification of extended radio galaxies using weak labels

Nikhel Gupta, Zeeshan Hayder, Ray P. Norris, Minh Huynh, Lars Petersson, X. Rosalind Wang, Heinz Andernach, Barbel S. Koribalski, Miranda Yew, Evan J. Crawford

Summary: This work discusses the use of a weakly-supervised deep learning algorithm to reduce the cost of labeling pixel-level masks for complex radio galaxies. The algorithm is trained on weak class-level labels to obtain class activation maps, which are refined using an inter-pixel relations network. Using data from the Australian Square Kilometre Array Pathfinder telescope, the algorithm achieves high accuracy in predicting pixel-level information and the positions of infrared host galaxies.

PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF AUSTRALIA (2023)

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