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Title: 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

Abstract

Joint analyses of cross-correlations between measurements of galaxy positions, galaxy lensing, and lensing of the cosmic microwave background (CMB) offer powerful constraints on the large-scale structure of the Universe. In a forthcoming analysis, we will present cosmological constraints from the analysis of such cross-correlations measured using Year 3 data from the Dark Energy Survey (DES), and CMB data from the South Pole Telescope (SPT) and Planck. Here we present two key ingredients of this analysis: (1) an improved CMB lensing map in the SPT-SZ survey footprint and (2) the analysis methodology that will be used to extract cosmological information from the cross-correlation measurements. Relative to previous lensing maps made from the same CMB observations, we have implemented techniques to remove contamination from the thermal Sunyaev Zel’dovich effect, enabling the extraction of cosmological information from smaller angular scales of the cross-correlation measurements than in previous analyses with DES Year 1 data. We describe our model for the cross-correlations between these maps and DES data, and validate our modeling choices to demonstrate the robustness of our analysis. We then forecast the expected cosmological constraints from the galaxy survey-CMB lensing auto and cross-correlations. We find that the galaxy-CMB lensing and galaxy shear-CMB lensing correlations will on their own provide a constraint on S8=σ8$$\sqrt{Ωm/0.3}$$ at the few percent level, providing a powerful consistency check for the DES-only constraints. Finally, we explore scenarios where external priors on shear calibration are removed, finding that the joint analysis of CMB lensing cross-correlations can provide constraints on the shear calibration amplitude at the 5% to 10% level.

Authors:
ORCiD logo [1]; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; more »; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; « less
+ Show Author Affiliations
  1. University of Chicago, IL (United States); Stanford University, CA (United States). Kavli Institute for Particle Astrophysics & Cosmology; DES Collaboration et al.; SPT Collaboration et al.
Publication Date:
Research Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)
Sponsoring Org.:
USDOE Office of Science (SC), High Energy Physics (HEP); National Science Foundation (NSF)
Contributing Org.:
DES Collaboration; SPT Collaboration
OSTI Identifier:
1994649
Alternate Identifier(s):
OSTI ID: 1862256; OSTI ID: 1922856
Report Number(s):
FERMILAB-PUB-22-194-PPD; arXiv:2203.12439; DES-2021-0647
Journal ID: ISSN 2470-0010; TRN: US2404986
Grant/Contract Number:  
AC05-00OR22725; AC02-06CH11357; AC02-07CH11359; OPP-1852617; AST-0956135; AST-1138766; AST-1536171; SC0012704
Resource Type:
Accepted Manuscript
Journal Name:
Physical Review. D.
Additional Journal Information:
Journal Volume: 107; Journal Issue: 2; Journal ID: ISSN 2470-0010
Publisher:
American Physical Society (APS)
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS; cosmic microwave background; cosmological parameters; dark matter; evolution of the universe; gravitational lenses; large scale structure of the universe

Citation Formats

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., and Williamson, R. 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. United States: N. p., 2023. Web. doi:10.1103/physrevd.107.023529.
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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. 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. United States. https://doi.org/10.1103/physrevd.107.023529
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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., and Williamson, R. Tue . "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". United States. https://doi.org/10.1103/physrevd.107.023529. https://www.osti.gov/servlets/purl/1994649.
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@article{osti_1994649,
title = {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},
author = {Omori, Y. and Baxter, E.  J. and Chang, C. and Friedrich, O. and Alarcon, A. and Alves, O. and Amon, A. and Andrade-Oliveira, F. and Bechtol, K. and Becker, M.  R. and Bernstein, G.  M. and Blazek, J. and Bleem, L.  E. and Camacho, H. and Campos, A. and Carnero Rosell, A. and Carrasco Kind, M. and Cawthon, R. and Chen, R. and Choi, A. and Cordero, J. and Crawford, T.  M. and Crocce, M. and Davis, C. and DeRose, J. and Dodelson, S. and Doux, C. and Drlica-Wagner, A. and Eckert, K. and Eifler, T.  F. and Elsner, F. and Elvin-Poole, J. and Everett, S. and Fang, X. and Ferté, A. and Fosalba, P. and Gatti, M. and Giannini, G. and Gruen, D. and Gruendl, R.  A. and Harrison, I. and Herner, K. and Huang, H. and Huff, E.  M. and Huterer, D. and Jarvis, M. and Krause, E. and Kuropatkin, N. and Leget, P. -F. and Lemos, P. and Liddle, A.  R. and MacCrann, N. and McCullough, J. and Muir, J. and Myles, J. and Navarro-Alsina, A. and Pandey, S. and Park, Y. and Porredon, A. and Prat, J. and Raveri, M. and Rollins, R.  P. and Roodman, A. and Rosenfeld, R. and Ross, A.  J. and Rykoff, E.  S. and Sánchez, C. and Sanchez, J. and Secco, L.  F. and Sevilla-Noarbe, I. and Sheldon, E. and Shin, T. and Troxel, M.  A. and Tutusaus, I. and Varga, T.  N. and Weaverdyck, N. and Wechsler, R.  H. and Wu, W.  L. K. and Yanny, B. and Yin, B. and Zhang, Y. and Zuntz, J. and Abbott, T.  M. C. and Aguena, M. and Allam, S. and Annis, J. and Bacon, D. and Benson, B.  A. and Bertin, E. and Bocquet, S. and Brooks, D. and Burke, D.  L. and Carlstrom, J.  E. and Carretero, J. and Chang, C.  L. and Chown, R. and Costanzi, M. and da Costa, L.  N. and Crites, A.  T. and Pereira, M.  E. S. and de Haan, T. and De Vicente, J. and Desai, S. and Diehl, H.  T. and Dobbs, M.  A. and Doel, P. and Everett, W. and Ferrero, I. and Flaugher, B. and Friedel, D. and Frieman, J. and García-Bellido, J. and Gaztanaga, E. and George, E.  M. and Giannantonio, T. and Halverson, N.  W. and Hinton, S.  R. and Holder, G.  P. and Hollowood, D.  L. and Holzapfel, W.  L. and Honscheid, K. and Hrubes, J.  D. and James, D.  J. and Knox, L. and Kuehn, K. and Lahav, O. and Lee, A.  T. and Lima, M. and Luong-Van, D. and March, M. and McMahon, J.  J. and Melchior, P. and Menanteau, F. and Meyer, S.  S. and Miquel, R. and Mocanu, L. and Mohr, J.  J. and Morgan, R. and Natoli, T. and Padin, S. and Palmese, A. and Paz-Chinchón, F. and Pieres, A. and Plazas Malagón, A.  A. and Pryke, C. and Reichardt, C.  L. and Romer, A.  K. and Ruhl, J.  E. and Sanchez, E. and Schaffer, K.  K. and Schubnell, M. and Serrano, S. and Shirokoff, E. and Smith, M. and Staniszewski, Z. and Stark, A.  A. and Suchyta, E. and Tarle, G. and Thomas, D. and To, C. and Vieira, J.  D. and Weller, J. and Williamson, R.},
abstractNote = {Joint analyses of cross-correlations between measurements of galaxy positions, galaxy lensing, and lensing of the cosmic microwave background (CMB) offer powerful constraints on the large-scale structure of the Universe. In a forthcoming analysis, we will present cosmological constraints from the analysis of such cross-correlations measured using Year 3 data from the Dark Energy Survey (DES), and CMB data from the South Pole Telescope (SPT) and Planck. Here we present two key ingredients of this analysis: (1) an improved CMB lensing map in the SPT-SZ survey footprint and (2) the analysis methodology that will be used to extract cosmological information from the cross-correlation measurements. Relative to previous lensing maps made from the same CMB observations, we have implemented techniques to remove contamination from the thermal Sunyaev Zel’dovich effect, enabling the extraction of cosmological information from smaller angular scales of the cross-correlation measurements than in previous analyses with DES Year 1 data. We describe our model for the cross-correlations between these maps and DES data, and validate our modeling choices to demonstrate the robustness of our analysis. We then forecast the expected cosmological constraints from the galaxy survey-CMB lensing auto and cross-correlations. We find that the galaxy-CMB lensing and galaxy shear-CMB lensing correlations will on their own provide a constraint on S8=σ8$\sqrt{Ωm/0.3}$ at the few percent level, providing a powerful consistency check for the DES-only constraints. Finally, we explore scenarios where external priors on shear calibration are removed, finding that the joint analysis of CMB lensing cross-correlations can provide constraints on the shear calibration amplitude at the 5% to 10% level.},
doi = {10.1103/physrevd.107.023529},
journal = {Physical Review. D.},
number = 2,
volume = 107,
place = {United States},
year = {Tue Jan 31 00:00:00 EST 2023},
month = {Tue Jan 31 00:00:00 EST 2023}
}
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journal, June 2013

Cross-correlation of Far-infrared Background Anisotropies and CMB Lensing from Herschel and Planck Satellites
journal, September 2020

Understanding higher-order nonlocal halo bias at large scales by combining the power spectrum with the bispectrum
journal, December 2014

CMB lensing tomography with the DES Science Verification galaxies
journal, January 2016

  • Giannantonio, T.; Fosalba, P.; Cawthon, R.
  • Monthly Notices of the Royal Astronomical Society, Vol. 456, Issue 3
  • DOI: 10.1093/mnras/stv2678

A Measurement of the Cosmic Microwave Background Lensing Potential and Power Spectrum from 500 deg 2 of SPTpol Temperature and Polarization Data
journal, October 2019

Beyond linear galaxy alignments
journal, November 2019

Cosmic microwave background reconstruction from WMAP and Planck PR2 data
journal, June 2016

Cmb Lensing Power Spectrum Biases from Galaxies and Clusters Using High-Angular Resolution Temperature maps
journal, April 2014

Planck early results. I. The Planck mission
journal, December 2011

Dark Energy Survey Year 3 results: Cosmology from cosmic shear and robustness to data calibration
journal, January 2022

The impact of baryons on the matter power spectrum from the Horizon-AGN cosmological hydrodynamical simulation
journal, August 2018

  • Chisari, N. E.; Richardson, M. L. A.; Devriendt, J.
  • Monthly Notices of the Royal Astronomical Society, Vol. 480, Issue 3
  • DOI: 10.1093/mnras/sty2093

Dark Energy Survey Year 3 results: Cosmology from cosmic shear and robustness to modeling uncertainty
journal, January 2022

redMaPPer. I. ALGORITHM AND SDSS DR8 CATALOG
journal, April 2014

Revising the Halofit Model for the Nonlinear Matter Power Spectrum
journal, December 2012

  • Takahashi, Ryuichi; Sato, Masanori; Nishimichi, Takahiro
  • The Astrophysical Journal, Vol. 761, Issue 2
  • DOI: 10.1088/0004-637X/761/2/152

The Atacama Cosmology Telescope: a CMB lensing mass map over 2100 square degrees of sky and its cross-correlation with BOSS-CMASS galaxies
journal, November 2020

  • Darwish, Omar; Madhavacheril, Mathew S.; Sherwin, Blake D.
  • Monthly Notices of the Royal Astronomical Society, Vol. 500, Issue 2
  • DOI: 10.1093/mnras/staa3438

Using Cosmic Microwave Background Lensing to Constrain the Multiplicative bias of Cosmic Shear
journal, October 2012

unWISE tomography of Planck CMB lensing
journal, May 2020

  • Krolewski, Alex; Ferraro, Simone; Schlafly, Edward F.
  • Journal of Cosmology and Astroparticle Physics, Vol. 2020, Issue 05
  • DOI: 10.1088/1475-7516/2020/05/047

Dark Energy Survey year 3 results: covariance modelling and its impact on parameter estimation and quality of fit
journal, August 2021

  • Friedrich, O.; Andrade-Oliveira, F.; Camacho, H.
  • Monthly Notices of the Royal Astronomical Society, Vol. 508, Issue 3
  • DOI: 10.1093/mnras/stab2384

Large-scale galaxy bias
journal, February 2018

Full-sky CMB lensing reconstruction in presence of sky-cuts
journal, June 2013

Dark energy constraints from cosmic shear power spectra: impact of intrinsic alignments on photometric redshift requirements
journal, December 2007

Evidence for the Cross-correlation between Cosmic Microwave Background Polarization Lensing from Polarbear and Cosmic Shear from Subaru Hyper Suprime-Cam
journal, September 2019

Dark Energy Survey Year 3 results: Cosmological constraints from galaxy clustering and weak lensing
journal, January 2022

Constrained realizations of Gaussian fields - A simple algorithm
journal, October 1991

  • Hoffman, Yehuda; Ribak, Erez
  • The Astrophysical Journal, Vol. 380
  • DOI: 10.1086/186160

Full-sky lensing reconstruction of gradient and curl modes from CMB maps
journal, January 2012

  • Namikawa, Toshiya; Yamauchi, Daisuke; Taruya, Atsushi
  • Journal of Cosmology and Astroparticle Physics, Vol. 2012, Issue 01
  • DOI: 10.1088/1475-7516/2012/01/007

Perturbation theory for modeling galaxy bias: Validation with simulations of the Dark Energy Survey
journal, December 2020

Looking through the same lens: Shear calibration for LSST, Euclid, and WFIRST with stage 4 CMB lensing
journal, June 2017

Maps of the Southern Millimeter-wave Sky from Combined 2500 deg 2 SPT-SZ and Planck Temperature Data
journal, November 2018

  • Chown, R.; Omori, Y.; Aylor, K.
  • The Astrophysical Journal Supplement Series, Vol. 239, Issue 1
  • DOI: 10.3847/1538-4365/aae694

Star formation history from the cosmic infrared background anisotropies
journal, June 2018

Size Bias in Galaxy Surveys
journal, July 2009

Cosmological constraints from the tomographic cross-correlation of DESI Luminous Red Galaxies and Planck CMB lensing
journal, February 2022

  • White, Martin; Zhou, Rongpu; DeRose, Joseph
  • Journal of Cosmology and Astroparticle Physics, Vol. 2022, Issue 02
  • DOI: 10.1088/1475-7516/2022/02/007

A Measurement of the Cosmic Microwave Background Damping tail from the 2500-Square-Degree Spt-Sz Survey
journal, November 2013

Angular cross-correlation of galaxies: a probe of gravitational lensing by large-scale structure
journal, February 1998

Planck 2015 results : XV. Gravitational lensing
journal, September 2016

The Redmapper Galaxy Cluster Catalog from des Science Verification data
journal, May 2016

  • Rykoff, E. S.; Rozo, E.; Hollowood, D.
  • The Astrophysical Journal Supplement Series, Vol. 224, Issue 1
  • DOI: 10.3847/0067-0049/224/1/1

Dark Energy Survey Year 3 results: calibration of lens sample redshift distributions using clustering redshifts with BOSS/eBOSS
journal, May 2022

  • Cawthon, R.; Elvin-Poole, J.; Porredon, A.
  • Monthly Notices of the Royal Astronomical Society, Vol. 513, Issue 4, p. 5517-5539
  • DOI: 10.1093/mnras/stac1160

Extragalactic foreground contamination in temperature-based CMB lens reconstruction
journal, March 2014

  • Osborne, Stephen J.; Hanson, Duncan; Doré, Olivier
  • Journal of Cosmology and Astroparticle Physics, Vol. 2014, Issue 03
  • DOI: 10.1088/1475-7516/2014/03/024

Dark Energy Survey Year 3 results: Optimizing the lens sample in a combined galaxy clustering and galaxy-galaxy lensing analysis
journal, February 2021

Dark energy survey year 3 results: weak lensing shape catalogue
journal, April 2021

  • Gatti, M.; Sheldon, E.; Amon, A.
  • Monthly Notices of the Royal Astronomical Society, Vol. 504, Issue 3
  • DOI: 10.1093/mnras/stab918

Galaxy Clusters Discovered via the Sunyaev-Zel'Dovich Effect in the 2500-Square-Degree Spt-Sz Survey
journal, January 2015

  • Bleem, L. E.; Stalder, B.; de Haan, T.
  • The Astrophysical Journal Supplement Series, Vol. 216, Issue 2
  • DOI: 10.1088/0067-0049/216/2/27

CMB/kSZ and Compton-y Maps from 2500 deg2 of SPT-SZ and Planck Survey Data
journal, February 2022

  • Bleem, L. E.; Crawford, T. M.; Ansarinejad, B.
  • The Astrophysical Journal Supplement Series, Vol. 258, Issue 2
  • DOI: 10.3847/1538-4365/ac35e9

Planck 2018 results: III. High Frequency Instrument data processing and frequency maps
journal, September 2020

FAST-PT II: an algorithm to calculate convolution integrals of general tensor quantities in cosmological perturbation theory
journal, February 2017

  • Fang, Xiao; Blazek, Jonathan A.; McEwen, Joseph E.
  • Journal of Cosmology and Astroparticle Physics, Vol. 2017, Issue 02
  • DOI: 10.1088/1475-7516/2017/02/030

Strong detection of the CMB lensing and galaxy weak lensing cross-correlation from ACT-DR4, Planck Legacy, and KiDS-1000
journal, May 2021

A Measurement of Secondary Cosmic Microwave Background Anisotropies from the 2500 Square-Degree Spt-Sz Survey
journal, January 2015

MAPS OF THE MAGELLANIC CLOUDS FROM COMBINED SOUTH POLE TELESCOPE AND PLANCK DATA
journal, December 2016

  • Crawford, T. M.; Chown, R.; Holder, G. P.
  • The Astrophysical Journal Supplement Series, Vol. 227, Issue 2
  • DOI: 10.3847/1538-4365/227/2/23

Planck 2013 results. XVIII. The gravitational lensing-infrared background correlation
journal, October 2014

Dark Energy Survey Year 3 results: Exploiting small-scale information with lensing shear ratios
journal, April 2022

Planck 2013 results. XVII. Gravitational lensing by large-scale structure
journal, October 2014

Mitigating foreground biases in CMB lensing reconstruction using cleaned gradients
journal, July 2018

Bias to CMB lensing reconstruction from temperature anisotropies due to large-scale galaxy motions
journal, January 2018

Controlling and leveraging small-scale information in tomographic galaxy–galaxy lensing
journal, October 2019

  • MacCrann, Niall; Blazek, Jonathan; Jain, Bhuvnesh
  • Monthly Notices of the Royal Astronomical Society, Vol. 491, Issue 4
  • DOI: 10.1093/mnras/stz2761

Shear calibration biases in weak-lensing surveys
journal, August 2003

Dark Energy Survey Year 3 results: redshift calibration of the weak lensing source galaxies
journal, May 2021

  • Myles, J.; Alarcon, A.; Amon, A.
  • Monthly Notices of the Royal Astronomical Society, Vol. 505, Issue 3
  • DOI: 10.1093/mnras/stab1515

The Analysis of Counts of the Extragalactic Nebulae in Terms of a Fluctuating Density Field.
journal, January 1953

  • Limber, D. Nelson
  • The Astrophysical Journal, Vol. 117
  • DOI: 10.1086/145672
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