CosmoStat, CEA Paris-Saclay
on behalf of the SPT-3G collaboration
ESLAB Euclid Symposium
March 25, 2025
Cosmology with the Cosmic Microwave Background (CMB)
The South Pole Telescope (SPT) and the SPT-3G camera
most distant observable electromagnetic radiation \(\implies\) early-Universe physics
illuminates the Universe’s evolution: reionization, structure growth, astrophysics..
NAOJ
Turner (2022): The Road to Precision Cosmology
six-parameter model predicts a wide range of cosmic observables:
but we don’t much about \(\Lambda\) or CDM!
Planck is noise-variance-limited beyond:
CMB experiments filling this niche:
SPT BICEP/Keck
Aman Chokshi
ACT
Debra Kellner
3 bands: 95, 150, 220 GHz
resolution: 1.6, 1.2, 1.0 arcmin
SPT-SZ (2007) SPTpol (2012) SPT-3G (2017)
~1000 detectors ~1500 detectors ~16,000 detectors
Photo Credit: Aman Chokshi
*successful cosmology analyses already published with SPT-3G 2018 data
Kevin Zagorski
Same 9 maps used by three
independent pipelines:
MUSE: Bayesian joint inference of cosmology, systematics, and pixels
Traditional TT/TE/EE power spectrum
Traditional quadratic estimator (QE) lensing
Recently accepted! arxiv:2411.06000
Methods in the spirit of
simulation-based inference (SBI).
EE & \(\phi\phi\) bandpowers probe new scales and are in agreement with Planck \(\Lambda\)CDM:
Fei Ge Marius Millea
Joint ACT-SPT-Planck \(S_8\)
measurement in the works!
Scales and redshifts that
contribute to MUSE constraints:
total and non-linear contributions.
\(A_{\rm mod}\) to scale the non-linear matter power spectrum:
Planck T&E + SPT\(\phi\phi\) gives first \(3\sigma\) detection of
non-linear structure with CMB lensing!
Comparison of polarization-only
(EE + \(\phi \phi_{\rm pol}\)) constraints from
SPT, Planck, and ACT:
SPT-3G polarization data is incredible!
but, this isn’t a complete picture of the constraining power of these instruments:
\(\implies\) upcoming SPT TT/TE/EE/\(\phi\phi\)
Targeting publication this summer.
As a taste, SPT-3G TT/EE/TE + MUSE \(\phi\phi\)
(mock!) vs. ACT DR6, MUSE and Planck.
With the addition of full QE \(\phi\phi\) (see following slides), joint constraints on \(\Lambda CDM\) parameters will be
comparable to Planck!
forecast: 1.5% measurement \(\sigma_8 \Omega_m^{0.25}\) from SPT-3G lensing alone!
vs. 2.7% for Planck lensing
SPT-3G lensing: large scales, high \(z\)
(mostly linear)
Cosmic shear: smaller scales, low \(z\)
(mostly non-linear)
Cross-correlation bridges the gap
SPT-3G lensing
DES Y3 bin 4
Kevin Zagorski
Survey | Area (deg²) |
Depth (\(\mu\)K-arcmin) |
---|---|---|
Main | 1,500 | 2.1 |
Summer | 2,600 | 9 |
Wide | 6,000 | 12 |
Ext-10k = Main + Summer + Wide
Combined Ext-10k survey will improve on Planck constraints by as much as:
2x for \(\Lambda\)CDM parameters, 3x for single-parameter extensions!
Credit: Federica Guidi
Foreground signals also contain rich cosmological information.
SPT has provided the best constraints on the Epoch of Reionization to-date from kinetic Sunyaev-Zel’dovich 4-pt:
Raghunathan et al. (2024)
Foreground signals also contain rich cosmological information.
100 deg² SPT-deep cluster catalog on arXiv as of last week: arXiv:2503.17271
Looking forward to cluster cosmology with SPT-3G + Euclid!
Kornoelje et al. (2025)
Kevin Zagorski
Joint analyses of SPT-3G and Euclid data will be incredibly powerful!
SPT has conducted dedicated observations
of Euclid Deep Field South (EDFS)
and is planning a release of:
Joint analyses of SPT-3G and Euclid data will be incredibly powerful!
Check out Melanie Archipley’s talk tomorrow at noon to learn more about our upcoming data release and other SPT science!
I am working on EDFS lensing maps to be cross-correlated with Euclid Q1 data:
Will provide useful pathfinding for Euclid DR1 \(\times\) CMB analyses.
Euclid-CMB \(6 \times 2\)pt
will be among Euclid’s most powerful cosmological probes.
The CMB still has a lot to tell us about the Universe:
SPT-3G Main 2019+2020:
MUSE polarization-only results probe new scales & are consistent with \(\Lambda\)CDM
coming temperature+polarization constraints will be comparable to Planck!
Kevin Zagorski
Marginalize over CMB \(f\) and lensing \(\phi\)
maps/pixels to determine parameters \(\theta\):
\[ \mathcal{P}(\theta \mid d)=\int \mathrm{d} f \mathrm{~d} \phi \, \mathcal{P}(f, \phi, \theta \mid d) \]
Algorithm similar to simulation-based inference (SBI) with semi-analytic compression statistic.
Blinded analysis with post-unblinding beam change:
Similar slope seen by ACT DR6:
Decreasing neutrino mass enhances structure (measured by \(\phi \phi\)).
CMB prefers more lensing power than predicted by \(\Lambda\)CDM given BAO.
\(\implies\) low \(\sum m_{\nu}\) when allowed to vary.
\(A_{\rm recon}\): scales lensing power used to predict lensed CMB power spectra
\(A_{\rm 2pt}\): scales lensing power used to predict lensed CMB power spectra
\(A_{\rm lens}\): if \(A_{\rm recon} = A_{\rm 2pt}\)
Cail Daley | ESLAB Euclid Symposium | March 25, 2025