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2021

Cosmological constraints from unWISE and Planck CMB lensing tomography

Krolewski, Alex, Ferraro, Simone, White, Martin

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A number of recent, low-redshift, lensing measurements hint at a universe in which the amplitude of lensing is lower than that predicted from the $\Lambda$CDM model fit to the data of the Planck CMB mission.

Here we use the auto- and cross-correlation signal of unWISE galaxies and Planck CMB lensing maps to infer cosmological parameters at low redshift.
In particular, we consider three unWISE samples (denoted as "blue", "green" and "red") at median redshifts $z \sim 0.6$, $1.1$ and 1.5, which fully cover the Dark Energy dominated era.
Our cross-correlation measurements, with combined significance $S/N \sim 80$, are used to infer the amplitude of low-redshift fluctuations, $\sigma_8$; the fraction of matter in the Universe, $\Omega_m$; and the combination $S_8 \equiv \sigma_8 (\Omega_m / 0.3)^{0.5}$ to which these low-redshift lensing measurements are most sensitive.

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Built on

E. F. Schlafly, A. M. Meisner and G. M. Green, The unWISE Catalog: Two Billion Infrared Sources from Five Years of WISE Imaging , The Astrophysical Journal Supplement Series 240
Original
1901
Earlier work this paper cites.
A. G. Riess, S. Casertano, W. Yuan, L. M. Macri and D. Scolnic, Large Magellanic Cloud Cepheid Standards Provide a 1% Foundation for the Determination of the Hubble Constant and Stronger Evidence for Physics beyond Λ \Lambda CDM , ApJ 876
Original
1903
Earlier work this paper cites.
C. García-García, D. Alonso and E. Bellini, Disconnected pseudo- C ℓ C_{\ell} covariances for projected large-scale structure data , 1906.11765
Original
1906
Earlier work this paper cites.
G. Fabbian, A. Lewis and D. Beck, CMB lensing reconstruction biases in cross-correlation with large-scale structure probes , JCAP 10
Original
1906
Earlier work this paper cites.
Planck Collaboration, N. Aghanim, Y. Akrami, M. Ashdown, J. Aumont, C. Baccigalupi et al., Planck 2018 results. V. CMB power spectra and likelihoods , A&A 641
Original
1907
Earlier work this paper cites.
W. L. Freedman, B. F. Madore, D. Hatt, T. J. Hoyt, I. S. Jang, R. L. Beaton et al., The Carnegie-Chicago Hubble Program. VIII. An Independent Determination of the Hubble Constant Based on the Tip of the Red Giant Branch , ApJ 882
Original
1907
Earlier work this paper cites.
G. A. Marques and A. Bernui, Tomographic analyses of the CMB lensing and galaxy clustering to probe the linear structure growth , 1908.04854
Original
1908
Earlier work this paper cites.
A. Krolewski, S. Ferraro, E. F. Schlafly and M. White, unWISE tomography of Planck CMB lensing , arXiv e-prints (2019) arXiv:1909.07412 [ 1909.07412 ]
Original
1909
Earlier work this paper cites.
M. M. Ivanov, M. Simonović and M. Zaldarriaga, Cosmological parameters from the BOSS galaxy power spectrum , JCAP 2020
Original
1909
Earlier work this paper cites.
G. d’Amico, J. Gleyzes, N. Kokron, K. Markovic, L. Senatore, P. Zhang et al., The cosmological analysis of the SDSS/BOSS data from the Effective Field Theory of Large-Scale Structure , JCAP 2020
Original
1909
Earlier work this paper cites.
T. Colas, G. D’amico, L. Senatore, P. Zhang and F. Beutler, Efficient Cosmological Analysis of the SDSS/BOSS data from the Effective Field Theory of Large-Scale Structure , JCAP 06
Original
1909
Earlier work this paper cites.
T. Tröster et al., Cosmology from large-scale structure: Constraining Λ \Lambda CDM with BOSS , Astron. Astrophys. 633
Original
1909
Earlier work this paper cites.
V. Böhm, C. Modi and E. Castorina, Lensing corrections on galaxy-lensing cross correlations and galaxy-galaxy auto correlations , JCAP 03
Original
1910
Earlier work this paper cites.
C. Modi, S.-F. Chen and M. White, Simulations and symmetries , MNRAS 492
Original
1910
Earlier work this paper cites.
A. Lewis, GetDist: a Python package for analysing Monte Carlo samples , 1910.13970
Original
1910
Earlier work this paper cites.
D. N. Limber, The Analysis of Counts of the Extragalactic Nebulae in Terms of a Fluctuating Density Field. , ApJ 117
1953
Earlier work this paper cites.
A. Gelman and D. B. Rubin, Inference from Iterative Simulation Using Multiple Sequences , Statistical Science 7
1992
Earlier work this paper cites.
J. Verner Villumsen, Clustering of Faint Galaxies: ω ⁡ ( θ ) \omega(\theta) Induced by Weak Gravitational Lensing , arXiv e-prints (1995) astro [ astro-ph/9512001 ]
1995
Earlier work this paper cites.
R. Moessner, B. Jain and J. V. Villumsen, The effect of weak lensing on the angular correlation function of faint galaxies , MNRAS 294
1998
Earlier work this paper cites.
A. Lewis, A. Challinor and A. Lasenby, Efficient computation of CMB anisotropies in closed FRW models , ApJ 538
2000
Earlier work this paper cites.
W. Hu, Weak lensing of the CMB: A harmonic approach , PRD 62
2000
Earlier work this paper cites.
L. Verde, L. Wang, A. F. Heavens and M. Kamionkowski, Large-scale structure, the cosmic microwave background and primordial non-Gaussianity , MNRAS 313
2000
Earlier work this paper cites.
A. Lewis, A. Challinor and A. Lasenby, Efficient computation of CMB anisotropies in closed FRW models , ApJ 538
2000
Earlier work this paper cites.
M. Bartelmann and P. Schneider, Weak gravitational lensing , PhysRep 340
2001
Earlier work this paper cites.
W. Hu and T. Okamoto, Mass Reconstruction with Cosmic Microwave Background Polarization , ApJ 574
2002
Earlier work this paper cites.
E. Hivon, K. M. Górski, C. B. Netterfield, B. P. Crill, S. Prunet and F. Hansen, MASTER of the Cosmic Microwave Background Anisotropy Power Spectrum: A Fast Method for Statistical Analysis of Large and Complex Cosmic Microwave Background Data Sets , ApJ 567
2002
Earlier work this paper cites.
A. Lewis and S. Bridle, Cosmological parameters from CMB and other data: A Monte Carlo approach , Phys. Rev. D66
2002
Earlier work this paper cites.
2dFGRS Team
2002
Earlier work this paper cites.
M. White, The Mass Function , ApJS 143
2002
Earlier work this paper cites.
R. E. Smith, J. A. Peacock, A. Jenkins, S. D. M. White, C. S. Frenk, F. R. Pearce et al., Stable clustering, the halo model and non-linear cosmological power spectra , MNRAS 341
2003
Earlier work this paper cites.
O. Darwish, M. S. Madhavacheril, B. D. Sherwin, S. Aiola, N. Battaglia, J. A. Beall et al., The Atacama Cosmology Telescope: a CMB lensing mass map over 2100 square degrees of sky and its cross-correlation with BOSS-CMASS galaxies , MNRAS 500
Original
2004
Earlier work this paper cites.

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2004
Cited alongside, same era.
K. M. Górski, E. Hivon, A. J. Banday, B. D. Wand elt, F. K. Hansen, M. Reinecke et al., HEALPix: A Framework for High-Resolution Discretization and Fast Analysis of Data Distributed on the Sphere , ApJ 622
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2005
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2005
Cited alongside, same era.
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B. A. Reid, H.-J. Seo, A. Leauthaud, J. L. Tinker and M. White, A 2.5 per cent measurement of the growth rate from small-scale redshift space clustering of SDSS-III CMASS galaxies , MNRAS 444
Original
2014
Later among the works it cites.
A. J. Ross, L. Samushia, C. Howlett, W. J. Percival, A. Burden and M. Manera, The clustering of the SDSS DR7 main Galaxy sample - I. A 4 per cent distance measure at z = 0.15 , MNRAS 449
Original
2015
Later among the works it cites.
M. White, B. Reid, C.-H. Chuang, J. L. Tinker, C. K. McBride, F. Prada et al., Tests of redshift-space distortions models in configuration space for the analysis of the BOSS final data release , MNRAS 447
Original
2015
Later among the works it cites.
C. Laigle, H. J. McCracken, O. Ilbert, B. C. Hsieh, I. Davidzon, P. Capak et al., The COSMOS2015 Catalog: Exploring the 1 < z < 6 1<z<6 Universe with Half a Million Galaxies , ApJS 224
Original
2016
Later among the works it cites.

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2005

Cited alongside, same era.

A. Lewis and A. Challinor, Weak gravitational lensing of the CMB , PhysRep 429

2006

Cited alongside, same era.

C. Conroy, R. H. Wechsler and A. V. Kravtsov, Modeling Luminosity-dependent Galaxy Clustering through Cosmic Time , ApJ 647

2006

Cited alongside, same era.

C. Heymans, T. Tröster, M. Asgari, C. Blake, H. Hildebrandt, B. Joachimi et al., KiDS-1000 Cosmology: Multi-probe weak gravitational lensing and spectroscopic galaxy clustering constraints , arXiv e-prints (2020) arXiv:2007.15632 [ 2007.15632 ]

Original

2007

Cited alongside, same era.

B. Hadzhiyska, D. Alonso, A. Nicola and A. Slosar, Analytic marginalization of N ⁡ ( z ) N(z) uncertainties in tomographic galaxy surveys , JCAP 10

2007

Cited alongside, same era.

B. Joachimi, C. A. Lin, M. Asgari, T. Tröster, C. Heymans, H. Hildebrandt et al., KiDS-1000 methodology: Modelling and inference for joint weak gravitational lensing and spectroscopic galaxy clustering analysis , A&A 646

2007

Cited alongside, same era.

N. Sailer, E. Schaan and S. Ferraro, Lower bias, lower noise CMB lensing with foreground-hardened estimators , Phys. Rev. D 102

2007

Cited alongside, same era.

S. Alam, M. Aubert, S. Avila, C. Balland, J. E. Bautista, M. A. Bershady et al., Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: Cosmological implications from two decades of spectroscopic surveys at the Apache Point Observatory , PRD 103

Original

2007

Cited alongside, same era.

B. Reid, S. Ho, N. Padmanabhan, W. J. Percival, J. Tinker, R. Tojeiro et al., SDSS-III Baryon Oscillation Spectroscopic Survey Data Release 12: galaxy target selection and large-scale structure catalogues , MNRAS 455

2016

Later among the works it cites.

Z. Vlah, E. Castorina and M. White, The Gaussian streaming model and convolution Lagrangian effective field theory , JCAP 2016

2016

Later among the works it cites.

T. Lazeyras, C. Wagner, T. Baldauf and F. Schmidt, Precision measurement of the local bias of dark matter halos , JCAP 2016

2016

Later among the works it cites.

Y. Feng, M.-Y. Chu, U. Seljak and P. McDonald, FASTPM: a new scheme for fast simulations of dark matter and haloes , MNRAS 463

Original

2016

Later among the works it cites.

G. Pratten and A. Lewis, Impact of post-Born lensing on the CMB , JCAP 08

2016

Later among the works it cites.

G. Marozzi, G. Fanizza, E. Di Dio and R. Durrer, CMB-lensing beyond the Born approximation , JCAP 09

2016

Later among the works it cites.

A. Leauthaud et al., Lensing is Low: Cosmology, Galaxy Formation, or New Physics? , Mon. Not. Roy. Astron. Soc. 467

2017

Later among the works it cites.

I. Pâris, P. Petitjean, N. P. Ross, A. D. Myers, É. Aubourg, A. Streblyanska et al., The Sloan Digital Sky Survey Quasar Catalog: Twelfth data release , A&A 597

2017

Later among the works it cites.

C. Modi, M. White and Z. Vlah, Modeling CMB lensing cross correlations with CLEFT , JCAP 2017

2017

Later among the works it cites.

Planck Collaboration, N. Aghanim, Y. Akrami, M. Ashdown, J. Aumont, C. Baccigalupi et al., Planck 2018 results. VIII. Gravitational lensing , ArXiv e-prints (2018) [ 1807.06210 ]

2018

Later among the works it cites.

Y. Omori, T. Giannantonio, A. Porredon, E. Baxter, C. Chang, M. Crocce et al., Dark Energy Survey Year 1 Results: tomographic cross-correlations between DES galaxies and CMB lensing from SPT+Planck , arXiv e-prints (2018) arXiv:1810.02342 [ 1810.02342 ]

2018

Later among the works it cites.

Planck Collaboration, N. Aghanim, Y. Akrami, M. Ashdown, J. Aumont, C. Baccigalupi et al., Planck 2018 results. VI. Cosmological parameters , arXiv e-prints (2018) arXiv:1807.06209 [ 1807.06209 ]

2018

Later among the works it cites.

M. S. Madhavacheril and J. C. Hill, Mitigating Foreground Biases in CMB Lensing Reconstruction Using Cleaned Gradients , Phys. Rev. D98

2018

Later among the works it cites.

M. Ata, F. Baumgarten, J. Bautista, F. Beutler, D. Bizyaev, M. R. Blanton et al., The clustering of the SDSS-IV extended Baryon Oscillation Spectroscopic Survey DR14 quasar sample: first measurement of baryon acoustic oscillations between redshift 0.8 and 2.2 , MNRAS 473

2018

Later among the works it cites.

D. Alonso, J. Sanchez and A. Slosar, A unified pseudo- C ℓ C_{\ell} framework , ArXiv e-prints (2018) [ 1809.09603 ]

2018

Later among the works it cites.

M. M. Abidi and T. Baldauf, Cubic halo bias in Eulerian and Lagrangian space , JCAP 2018

2018

Later among the works it cites.

E. Schaan and S. Ferraro, Foreground-Immune Cosmic Microwave Background Lensing with Shear-Only Reconstruction , Phys. Rev. Lett. 122

2019

Later among the works it cites.

J. Torrado and A. Lewis, Cobaya: Bayesian analysis in cosmology , Oct., 2019

2019

Later among the works it cites.

Planck Collaboration, N. Aghanim, Y. Akrami, M. Ashdown, J. Aumont, C. Baccigalupi et al., Planck 2018 results. VI. Cosmological parameters , A&A 641

2020

Later among the works it cites.

S. Singh, R. Mandelbaum, U. Seljak, S. Rodríguez-Torres and A. Slosar, Cosmological constraints from galaxy-lensing cross-correlations using BOSS galaxies with SDSS and CMB lensing , MNRAS 491

2020

Later among the works it cites.

Z. Yan, L. van Waerbeke, T. Tröster, A. H. Wright, D. Alonso, M. Asgari et al., Probing Galaxy Bias and Intergalactic Gas Pressure with KiDS Galaxies-tSZ-CMB Lensing Cross-correlations , arXiv e-prints (2021) arXiv:2102.07701 [ 2102.07701 ]

2021

Closest in time.

A. Barreira, T. Lazeyras and F. Schmidt, Galaxy bias from forward models: linear and second-order bias of IllustrisTNG galaxies , arXiv e-prints (2021) arXiv:2105.02876 [ 2105.02876 ]

2021

Closest in time.

M. Zennaro, R. E. Angulo, S. Contreras, M. Pellejero-Ibáñez and F. Maion, Priors on Lagrangian bias parameters from galaxy formation modelling , arXiv e-prints (2021) arXiv:2110.05408 [ 2110.05408 ]

2021

Closest in time.

N. Kokron, J. DeRose, S.-F. Chen, M. White and R. H. Wechsler, The cosmology dependence of galaxy clustering and lensing from a hybrid N N -body-perturbation theory model , arXiv e-prints (2021) arXiv:2101.11014 [ 2101.11014 ]

2021

Closest in time.

M. Zennaro, R. E. Angulo, M. Pellejero-Ibáñez, J. Stücker, S. Contreras and G. Aricò, The BACCO simulation project: biased tracers in real space , arXiv e-prints (2021) arXiv:2101.12187 [ 2101.12187 ]

2021

Closest in time.

B. Hadzhiyska, C. García-García, D. Alonso, A. Nicola and A. Slosar, Hefty enhancement of cosmological constraints from the DES Y1 data using a Hybrid Effective Field Theory approach to galaxy bias , arXiv e-prints (2021) arXiv:2103.09820 [ 2103.09820 ]

2021

Closest in time.

J. M. Sullivan, U. Seljak and S. Singh, An Analytic Hybrid Halo + Perturbation Theory Model for Small-scale Correlators: Baryons, Halos, and Galaxies , arXiv e-prints (2021) arXiv:2104.10676 [ 2104.10676 ]

2021

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