{"paper":{"title":"Cosmology From CMB Lensing and Delensed EE Power Spectra Using 2019-2020 SPT-3G Polarization Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"A. A. Stark, A. Chokshi, A. Coerver, A. Doussot, A. E. Gambrel, A. E. Lowitz, A. Foster, A. Hryciuk, A. J. Anderson, A. Maniyar, A. N. Bender, A. Rahlin, A. R. Khalife, A. T. Lee, A. Vitrier, A. W. Pollak, B. A. Benson, B. Ansarinejad, B. Thorne, C. Daley, C. Feng, C. L. Chang, C.-L. Kuo, C. L. Reichardt, C. Lu, C. Tandoi, C. Trendafilova, C. Umilta, D. Dutcher, D. Howe, D. Riebel, E. Anderes, E. Camphuis, E. Hivon, E. Schiappucci, E. S. Martsen, F. Bianchini, F. Ge, F. Guidi, F. K\\'eruzor\\'e, F. Menanteau, F. R. Bouchet, G. Chen, G. I. Noble, G. P. Holder, J. A. Sobrin, J. A. Zebrowski, J. C. Hood, J. D. Vieira, J. E. Carlstrom, J. E. Ruhl, J. Montgomery, J. Stephen, K. A. Phadke, K. Benabed, K. Fichman, K. Kornoelje, K. Levy, K. Prabhu, K. R. Dibert, K. R. Ferguson, L. Balkenhol, L. Bryant, L. E. Bleem, L. Knox, M. A. Dobbs, M. Archipley, M. Doohan, M. Korman, M. Millea, M. Rahimi, M. Rouble, M. R. Young, N. Goeckner-Wald, N. Huang, N. W. Halverson, N. Whitehorn, P. Chaubal, P. M. Chichura, P. Paschos, R. Gualtieri, R. W. Gardner, S. Galli, S. Guns, T. de Haan, T.-L. Chou, T. M. Crawford, T. Natoli, W. Everett, W. L. Holzapfel, W. L. K. Wu, W. Quan, Y. Nakato, Y. Omori, Y. Wan, Z. Pan","submitted_at":"2024-11-08T22:43:12Z","abstract_excerpt":"From CMB polarization data alone we reconstruct the CMB lensing power spectrum, comparable in overall constraining power to previous temperature-based reconstructions, and an unlensed E-mode power spectrum. The observations, taken in 2019 and 2020 with the South Pole Telescope (SPT) and the SPT-3G camera, cover 1500 deg$^2$ at 95, 150, and 220 GHz with arcminute resolution and roughly 4.9$\\mu$K-arcmin coadded noise in polarization. The power spectrum estimates, together with systematic parameter estimates and a joint covariance matrix, follow from a Bayesian analysis using the Marginal Unbiase"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.06000","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2411.06000/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}