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SZ-Clusters as
Cosmological probe
Constraints & systematics
M. DOUSPIS
Institut d’Astrophysique Spatiale, Orsay, France with
S. Ilic, G. Hurier, F. Lacasa, L. Salvati, N. Aghanim
for all document
0.21 0.24 0.27 0.30 0.33 0.36 0.39⌦m
0.68
0.72
0.76
0.80
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0.88
�8
SZ clusters B in [0.7-1]
CMB 2013
2MARIAN DOUSPIS- ICTP_SAIFR 2020
CONSTRAINTS FROM CLUSTERS
Planck collaboration 2014
PLANCK SZ CLUSTERS TENSION ?
EVOLUTION SINCE 2013 STATUS
SYSTEMATICS AT PLAY ?
COSMOLOGICAL MODEL HYDROSTATIC MASS BIAS
FUTURE OPTICAL SURVEYS CLUSTERS
EXPECTED ROLE OF SYSTEMATICS
2011
20152013
all
3MARIAN DOUSPIS- ICTP_SAIFR 2020
1653 cluster candidates, today >1100 with z
TSZ PLANCK SIGNAL
Planck collaboration 2011, 2014, 2016compilation available at szcluster-db.ias.u-psud.fr
first full sky hot gas map
Planck collaboration 2014, 2016
4MARIAN DOUSPIS- ICTP_SAIFR 2020
TSZ COSMOLOGICAL PROBES
Cℓ ∝ σ8.18 Ω3.2
m (1 − b)3.2dN ∝ σ98 Ω3
m (1 − b)3.6
Salvati, Douspis, Aghanim (2018)
0.21 0.24 0.27 0.30 0.33 0.36 0.39⌦m
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0.76
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CMB 2013
SZ clusters B in [0.7-1]
x3x3
Number Count Power spectrum
• CMB 2013
• polarisation from WMAP
•
• Clusters 2013 (189)
• slope Y-M from 71 clusters
• amplitude from <12 sims> • (1-b) in [0.7-1]: <>=0.8
0.4 0.5 0.6 0.7 0.8 0.9 1.0(1-b)
0.0
0.2
0.4
0.6
0.8
1.0
P
2013 [0.7-1]CCCPCLASHWtGPSZ2LensSZ+CMB
5MARIAN DOUSPIS- ICTP_SAIFR 2020
SINCE 2013• CMB 2013
• polarisation from WMAP • CMB 2015
• Polarisation from LFI
• CMB 2016 (2018)
• Polarisation from HFI
➞ better estimation of 𝜏 (low reionisation optical depth)
• Clusters 2013 (189)
• slope Y-M from 71 clusters
• amplitude from <12 sims>
• (1-b) in [0.7-1]: <>=0.8 • Clusters 2015 (439)
• CCCP lensing bias estimate
• (1-b) ~ 0.78±0.1
• no z evolution, dN(z,q)
0.21 0.24 0.27 0.30 0.33 0.36 0.39⌦m
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0.76
0.80
0.84
0.88
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SZ clusters CCCP
CMB 2016 LCDM
0.21 0.24 0.27 0.30 0.33 0.36 0.39⌦m
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0.76
0.80
0.84
0.88
� 8
SZ clusters B in [0.7-1]
CMB 2013
6MARIAN DOUSPIS- ICTP_SAIFR 2020
STATUS 2018 A
Salvati, Douspis, Aghanim (2018)
Since 2018 Tension σ8-Ωm is reduced !
2013 2018
Planck Collaboration 2014
0.21 0.24 0.27 0.30 0.33 0.36 0.39⌦m
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SZ clusters CCCP
CMB 2016 LCDM
CMB 2018 LCDM
2019
7MARIAN DOUSPIS- ICTP_SAIFR 2020
COSMOLOGY WITH TSZ
Salvati, Douspis, Aghanim (2018)
νCDM wCDM
8MARIAN DOUSPIS- ICTP_SAIFR 2020
STATUS 2018 B
Salvati, Douspis, Aghanim (2018)
SZ (Clusters+Cl)+BAO (1-b) ~ 0.75±0.10 SZ (Clusters+Cl)+CMB (1-b) ~ 0.64±0.03
σ8 (Ωm /0.3)1/3 ∼ 0.78 ± 0.03σ8 (Ωm /0.3)1/3 ∼ 0.84 ± 0.02σ8 (Ωm /0.3)1/3 ∼ 0.78 ± 0.03
Combination Number Count + Power Spectrum
tSZ determination of the mass bias ~0.75
No WL bias prior No WL bias prior
9MARIAN DOUSPIS- ICTP_SAIFR 2020
IS IT SIGNIFICANT ?Eckert et al, A&A 621, A40 (2019)
• Cosmological parameters
• at ~2 σ
• Mass Bias
• CMB+SZ: (1-b)<0.8 (2σ)
• low values of 1-b implies low baryon fraction in clusters !
➡ uncomfortably low value of (1-b)
• Evolution ? see later
• Planck cluster only problem ?
σ8 (Ωm/0.3)1/3
Holanda et al, JCAP (2014)
(1-B)=0.96
10MARIAN DOUSPIS- ICTP_SAIFR 2020
OTHER SZ PROBES
Agreement with other SZ probes, is it SZ pb?
CMB Cosmologybest Cosmology
Hurier, Douspis et al. 2014
• 1-PDF
• PLCK: σ8 = 0.779 ± 0.02
• ACT: σ8 = 0.793 ± 0.04
• Bispectrum
• PLCK: σ8 = 0.74 ± 0.04
• SPT: σ8 = 0.787±0.03
Planck 2014 XXI
Crawford, 2014
Colin Hill, 2014
de Haan et al. 2016
Hurier & Lacasa, 2017
Planck X Rosat pow. spec.
SPT contours compatible with Planck (1-b)=0.8
ACT:Miyatake et al. 2019SPT: Bocquet et al. 2019
11MARIAN DOUSPIS- ICTP_SAIFR 2020
OTHER PROBES
Consistency of SZ with other analyses Trends for low value of
Joudaki et al. 2016
Cosmic shear tomography measurements
Consistency with Xray clusters • local sample • high mass sample
Ilic et al. 2015Boehringer et al. 2016
σ8 (Ωm/0.3)1/3
Asgari et al. 2020Joudaki et al. 2019
See also Troster al arXiv:2010.16416
12MARIAN DOUSPIS- ICTP_SAIFR 2020
CAN WE IMPROVE EVEN MORE THE AGREEMENT SZ-CMB?
SYSTEMATICS ?
SYSTEMATICS ?
SYSTEMATICS ?
SYSTEMATICS ?
WHICH DOMINATES ?
+ CMB+SZ
13MARIAN DOUSPIS- ICTP_SAIFR 2020
SZ NC SYSTEMATICS
dN/Cls[Θ] ≡ ∫ ∫ ∫ dMdz dV χ(obs) S(obs − M)dN
dMdzp(M, z)
Selection function
Scaling relation
Mass function
Profile
How much clusters your probe finds compare to the true number / mask on the sky : given by experiment
Number of halos in bins of mass and redshift. From numerical simulations, known 10% scatter between teams [Tinker et al., Watson et al. , Despali et al.]
Needed to relate the observable (flux, size) to the mass and redshift. Given by comparison HM
with simulations or WL measurements [Planck 2013., Nagai et al. , …]
Describes the spatial distribution of the hot gas (for Cls). Assume Universal pressure profile, the
GNFW [Nagai et al., Arnaud et al. , Planck 2014]
E��(z)
D2
A(z)Y500
10�4 Mpc2
�= Y⇤
h
0.7
��2+↵ (1� b)M500
6 · 1014M�
�↵
f(�) = A
1 +
⇣�b
⌘�a�exp
⇣� c
�2
⌘
dN(M500, z)
dM500= f(�)
⇢m(z = 0)
M500
dln��1
dM500
CosmologyClusters and SZ power spectrum are both geometrical and growth probes
Planck Early XI, A&A, 2011 eg. Israel 2015eg. Martizzi 2013 Salvati et al 2019
‣ ~10% scatter, baryonic effects ?
‣ <<10%
‣ <10% (chandra vs XMM)
(1-b)
14MARIAN DOUSPIS- ICTP_SAIFR 2020
EXTENSIONS OF LCDM?
Salvati, Douspis, Aghanim (2018)
Neutrinos and wCDM do not help
0.15 0.20 0.25 0.30 0.35 0.40 0.45⌦m
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0.80
0.88
0.96
1.04
1.12
�8
CMB DE
CMB MNU
CMB LCDM
SZ clusters B=0.8
0.550.90
CMB + Xray Clusters
(1-b)=0.8
(1-b)=0.6
Sakr , Ilić, Blanchard (2018)
Strong Modified Gravity may help
• Degeneracy Bias / Cosmology
➡ WL: small not necessarily representative samples (high mass, high z), unbiased ?
➡ <(1-b)> ~ 0.79±0.09 ↘︎
0.250 0.275 0.300 0.325 0.350 0.375 0.400⌦m
0.68
0.72
0.76
0.80
0.84
0.88
� 8
SZ clusters CCCP
CMB LCDM
0.5
0.6
0.7
0.8
0.9
1.0
BSZ
15MARIAN DOUSPIS- ICTP_SAIFR 2020
SYSTEMATICS : MASS BIAS
Salvati, Douspis, Aghanim (2018)
(1-b
)
tSZdN ∝ σ98 Ω3
m (1 − b)3.6
16MARIAN DOUSPIS- ICTP_SAIFR 2020
SYSTEMATICS : MASS BIAS EVOLUTION ?
Salvati, Douspis, Ritz, Aghanim, Babul (2019)
Does some evolution of the mass bias help reducing the remaining tension?
median redshiftof PSZ2 catalogue
(1� b)var = (1� B) ·✓
M
M⇤
◆↵b
·✓
1 + z
1 + z⇤
◆�b
4.82 · 1014M� 0.22mean mass
of PSZ2 catalogue
Is assuming a unique constant mass bias valid ?
Bias amplitude at M* and z*
Answer is No: CMB+tSZ (0.8) gives bad chi2 whatever the evolution
CMB
SZ+CMB
SZ: amplitude fixed+evolution free, (1-B)=0.8
17MARIAN DOUSPIS- ICTP_SAIFR 2020
IMPROVEMENT WITH FUTURE GALAXY SURVEYS
IMPACT ON COSMOLOGY OF THEORETICAL/OBSERVATIONAL MODELLING
SCALING RELATION PRECISION
MASS FUNCTION ASSUMPTION
Euclid satellite
LSST - Vera Rubin telescope
WFIRST - Nancy Grace Roman space telescope
Future surveys: ~ thousands of clustersAccuracy/precision on cosmological parameters: dominated by systematic uncertainties
MCMC forecast approach
18MARIAN DOUSPIS- ICTP_SAIFR 2020
IMPACT OF SYSTEMATICS IN LCDM
Salvati, Douspis, Aghanim (2020)
Potentially factor 4 precision if scaling is
known at percent level
Wrong mass function assumption may bias
1-2σ level
Despali
Tinker
Tinker fiducial +
+
19MARIAN DOUSPIS- ICTP_SAIFR 2020
IMPACT OF SYSTEMATICS WCDM
Salvati, Douspis, Aghanim (2020)
๏ Wrong mass function assumption may bias 8σ level dark energy parameters
๏ Degeneracy between DE and mass function ๏ Need work on (Universal) mass function
w = w0 + (1� a)wa
Despali Tinker
Monaco, 2016, Galaxies, 4, 53
‣ Tension between SZ Clusters and CMB is reduced by the new value of reionisation optical depth
20MARIAN DOUSPIS- ICTP_SAIFR 2020
CONCLUSIONS
‣ Mild tension exists with other LSS probes at the same level (all low sigma8)
‣ obvious systematics are discarded (eg. MF)
0.21 0.24 0.27 0.30 0.33 0.36 0.39⌦m
0.68
0.72
0.76
0.80
0.84
0.88
�8
SZ clusters CCCP
CMB 2013
CMB 2018 LCDM
0.15 0.20 0.25 0.30 0.35 0.40 0.45⌦m
0.6
0.7
0.8
0.9
1.0
1.1
�8
KIDS
CHFTLS
SZ Cls B=0.8
SZ clusters B=0.8
CMB 2018 LCDM
• SZ+CMB-lensingx SPT 2019★ DES+Kids 2019
‣ constant bias has to be big ~ 0.6 (≠ sims and most of WL mass estimates) → baryon fraction 1/2 smaller than universal (Eckert et al 18)
0.15 0.20 0.25 0.30 0.35 0.40 0.45⌦m
0.72
0.80
0.88
0.96
1.04
1.12
� 8
CMB DE
CMB MNU
CMB LCDM
SZ clusters B=0.8
21MARIAN DOUSPIS- ICTP_SAIFR 2020
CONCLUSIONS
0.250 0.275 0.300 0.325 0.350 0.375 0.400⌦m
0.68
0.72
0.76
0.80
0.84
0.88
� 8
SZ clusters CCCP
CMB LCDM
0.5
0.6
0.7
0.8
0.9
1.0
BSZ
‣ Extensions of LCDM need to be extreme (or not yet tried)
‣ Evolving bias not helping reconciling bias observations and CMB
‣ Still clusters including their systematics bring cosmological information
‣ Future surveys will probe higher redshifts (SZ and optical). Need for multiwavelenght studies and theoretical work to tackle systematics and show clusters as one of the competitive cosmological probe
22MARIAN DOUSPIS- ICTP_SAIFR 2020
CONCLUSIONS
23MARIAN DOUSPIS- ICTP_SAIFR 2020
Thank You !
www.ias.u-psud.fr/douspis