The Dark Energy Survey Probe origin of Cosmic Acceleration:

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Presentation transcript:

The Dark Energy Survey Probe origin of Cosmic Acceleration: Distance vs. redshift Growth of Structure • Two multicolor surveys: − 300 M galaxies over 5000 sq deg, grizY to 24th mag − 3000 supernovae (27 sq deg) New camera for CTIO Blanco 4m telescope − DECam Facility instrument • Survey started Aug. 2013 − Finished 4 seasons, 105 nights per season (Aug-Feb) DECam on the CTIO Blanco 4m www.darkenergysurvey.org

DES Dark Energy Probes Galaxy Clusters Weak Lensing Galaxy Clustering Tens of thousands of clusters to z~1 Weak Lensing Shape measurements of ~200 million galaxies Galaxy Clustering ~300 million galaxies to z ~ 1 Supernovae 3000 well-sampled SNe Ia to z ~1 Strong Lensing ~30 QSO lens time delays Arcs with multiple source redshifts Cross-correlations Galaxies, WL x CMB lensing DES forecast T. Eifler, E. Krause

570-Million pixel Dark Energy Camera 3 sq. deg. FOV

Dark Energy Camera on the Blanco Telescope

DES Year 1 Cosmology Analysis Compare & consistently combine three 2-point correlation function measurements: Angular clustering: autocorrelation of 660,000 luminous red galaxies with excellent photo-z’s, in 5 redshift bins Cosmic shear weak lensing: shear-shear correlation functions from 26 million galaxy shapes in 4 redshift bins Galaxy-galaxy lensing: correlate red galaxy positions (foreground lenses) with source galaxy shear SPT region SV area previously analyzed

Galaxy Clustering for combined probes J. Elvin-Poole, M. Crocce, A. Ross, et al.

Galaxy Clustering Elliptical galaxy spectrum

Total S/N = 26.8 8

9

Multi-Probe Constraints: LCDM DES-Y1 weak lensing: factor ~2 increase in constraining power marginalized 4 cosmology parameters, 10 clustering nuisance parameters, and 10 lensing nuisance parameters consistent (R = 2.8) cosmology constraints from weak lensing and clustering in configuration space joint analysis constrains DES Collaboration 2017

Multi-Probe Constraints: LCDM (all data sets reanalyzed with DESY1 parameter + prior choices) DES Collaboration 2017

Comparison of DES 3x2 with Planck CMB: low-z vs high-z in ΛCDM DES and Planck (here without CMB lensing) constrain S8 and Ωm with comparable strength Differ in central values by >1σ, in same direction as for KIDS Bayes factor (evidence ratio): R=P(DES,Planck | ΛCDM) P(DES | ΛCDM)P(Planck | ΛCDM) =4.2 “Substantial” evidence for consistency in ΛCDM

Combination of DES 3x2 with Planck CMB: low-z vs high-z in ΛCDM DES and Planck (here without CMB lensing) constrain S8 and Ωm with comparable strength Bayes factor (evidence ratio): R=P(DES,Planck | ΛCDM) P(DES | ΛCDM)P(Planck | ΛCDM) =4.2 “Substantial” evidence for consistency in ΛCDM Consistency even stronger comparing Planck to multiple low-z probes: DES+BAO+JLA (SN)

Combine multiple data sets DES 3x2 consistent with Planck (now including CMB lensing)+BAO+JLA in ΛCDM Combine to achieve very stringent parameter constraints:

Combine multiple data sets: wCDM DES 3x2 consistent with Planck (now including CMB lensing)+BAO+JLA in wCDM Combine to achieve very stringent parameter constraints:

Weak Lensing Mass Map Reconstruction based on 26 million source galaxy shape measurements from Metacalibration