Dark Energy Survey year 1 results: Cosmological constraints from galaxy clustering and weak lensing

@article{Abbott2018DarkES,
  title={Dark Energy Survey year 1 results: Cosmological constraints from galaxy clustering and weak lensing},
  author={Des Collaboration T. M. C. Abbott and Filipe B. Abdalla and Alex Alarcon and J. Aleksi'c and Sahar Allam and S. W. Allen and Adam Amara and James T. Annis and Jacobo Asorey and Santiago {\'A}vila and David Bacon and Eduardo Balbinot and Manda Banerji and Nilanjan Banik and Wayne A. Barkhouse and Michael Baumer and Eric J. Baxter and Keith C. Bechtol and Matthew R. Becker and Aur{\'e}lien Benoit-L{\'e}vy and Bradford A. Benson and Gary M. Bernstein and Emmanuel Bertin and Jonathan A. Blazek and S. L. Bridle and David Brooks and Dillon Brout and Elizabeth Buckley-Geer and David L. Burke and Michael T. Busha and Diego Capozzi and Aurelio Carnero Rosell and Matias Carrasco Kind and Jorge Carretero and Francisco J. Castander and R. Cawthon and C. L. Chang and Nan Chen and Michael J. Childress and Ami Choi and Christopher J. Conselice and Robert G. Crittenden and Mart{\'i}n Crocce and Carlos E. Cunha and Chris D'Andrea and Luiz Nicolaci da Costa and R. Das and Tamara M. Davis and C. Davis and Juan de Vicente and Darren Lee Depoy and Joseph DeRose and Shantanu Desai and H. Thomas Diehl and J. P. Dietrich and Scott Dodelson and Peter Doel and Alex Drlica-Wagner and T. F. Eifler and A. E. Elliott and Franz Elsner and J. Elvin-Poole and Juan Estrada and August E. Evrard and Yue Fang and Eduardo B. Fernandez and Agnes Fert'e and David A. Finley and Brenna L. Flaugher and Pablo Fosalba and Oliver Friedrich and Joshua A. Frieman and Juan Garc'ia-Bellido and M. Garc{\'i}a-Fern{\'a}ndez and Marco Gatti and Enrique Gazta{\~n}aga and David W. Gerdes and T. Giannantonio and Mandeep S. S. Gill and Karl Glazebrook and Daniel A. Goldstein and Daniel Gruen and Robert A. Gruendl and Julia Gschwend and Gaston R. Guti{\'e}rrez and Stephanie Hamilton and William G. Hartley and Samuel R. Hinton and Klaus Honscheid and Ben Hoyle and Dragan Huterer and B. Jain and David J. James and Michael Jarvis and Tesla E. Jeltema and M. D. Johnson and M. W. G. Johnson and Tomasz Kacprzak and Stephen Kent and Alex G Kim and A. King and Donnacha Kirk and Nickolas Kokron and Attila Kov{\'a}cs and E. Krause and C. Krawiec and Anthony Kremin and Kyler W. Kuehn and Stephen E. Kuhlmann and Nikolay Kuropatkin and Fabien Lacasa and Ofer Lahav and T. S. Li and Andrew R. Liddle and Christopher E. Lidman and Marcos Lima and H. Lin and Niall MacCrann and Marcio A. G. Maia and Martin Makler and Marc Manera and M March and Jennifer L. Marshall and Paul Martini and Richard G. McMahon and Peter Melchior and Felipe Menanteau and Ramon Miquel and Vivian Miranda and Dale Mudd and J. Muir and Anais Moller and Eric H. Neilsen and Robert C. Nichol and Brian Nord and Peter E. Nugent and R. L. C. Ogando and Antonella Palmese and John A Peacock and Hiranya V. Peiris and J. Jr. Peoples and Will J Percival and Don Petravick and Andreas Alejandro Plazas and Anna Porredon and Judit Prat and Arnau Pujol and Markus Michael Rau and Alexandre R{\'e}fr{\'e}gier and Paul M. Ricker and Natalie A. Roe and Richard Rollins and A. K. Romer and Aaron Roodman and Rog{\'e}rio Rosenfeld and Ashley J. Ross and Eduardo Rozo and Eli S. Rykoff and Masao Sako and A. I. Salvador and Simon Samuroff and Carles S'anchez and Eusebio S{\'a}nchez and Bas{\'i}lio Xavier Santiago and Victor E. Scarpine and Rafe H. Schindler and Dan Scolnic and Lucas F. Secco and Santiago Serrano and Ignacio Sevilla-Noarbe and Erin S. Sheldon and R. C. Smith and M. Smith and J. W. Smith and Marcelle Soares-Santos and Flavia Sobreira and Eric Suchyta and Gregory G. Tarl{\'e} and D. Thomas and Michael Troxel and Douglas L. Tucker and Brad E. Tucker and Syed Ashraf Uddin and T. N. Varga and Pauline Vielzeuf and Vinu Vikram and Anna Katherina Vivas and Alistair R. Walker and M. Y. Wang and Risa H. Wechsler and Jochen Weller and W. C. Iii Wester and Rachel C. Wolf and Brian Yanny and Fang Yuan and A. Zenteno and B. Zhang and Y. Zhang and Joe Zuntz},
  journal={Physical Review D},
  year={2018}
}
We present cosmological results from a combined analysis of galaxy clustering and weak gravitational lensing, using 1321  deg2 of griz imaging data from the first year of the Dark Energy Survey (DES Y1). We combine three two-point functions: (i) the cosmic shear correlation function of 26 million source galaxies in four redshift bins, (ii) the galaxy angular autocorrelation function of 650,000 luminous red galaxies in five redshift bins, and (iii) the galaxy-shear cross-correlation of luminous… 
Dark Energy Survey Year 1 Results: Cross-Correlation Redshifts in the DES -- Calibration of the Weak Lensing Source Redshift Distributions
We present the calibration of the Dark Energy Survey Year 1 (DES Y1) weak lensing source galaxy redshift distributions from clustering measurements. By cross-correlating the positions of source
Dark Energy Survey Year 1 results: constraints on intrinsic alignments and their colour dependence from galaxy clustering and weak lensing
We perform a joint analysis of intrinsic alignments and cosmology using tomographic weak lensing, galaxy clustering, and galaxy–galaxy lensing measurements from Year 1 (Y1) of the Dark Energy
Dark Energy Survey Year 1 results: Methodology and projections for joint analysis of galaxy clustering, galaxy lensing, and CMB lensing two-point functions
Optical imaging surveys measure both the galaxy density and the gravitational lensing-induced shear fields across the sky. Recently, the Dark Energy Survey (DES) Collaboration used a joint fit to
Dark Energy Survey Year 1 Results: calibration of redMaGiC redshift distributions in DES and SDSS from cross-correlations
We present calibrations of the redshift distributions of redMaGiC galaxies in the Dark Energy Survey Year 1 (DES Y1) and Sloan Digital Sky Survey (SDSS) DR8 data. These results determine the priors
Dark Energy Survey Year 3 results: Optimizing the lens sample in a combined galaxy clustering and galaxy-galaxy lensing analysis
We investigate potential gains in cosmological constraints from the combination of galaxy clustering and galaxy-galaxy lensing by optimizing the lens galaxy sample selection using information from
Dark Energy Survey Year 1 results: Cross-correlation redshifts - methods and systematics characterization
We use numerical simulations to characterize the performance of a clustering-based method to calibrate photometric redshift biases. In particular, we cross-correlate the weak lensing source galaxies
KiDS-1000 Cosmology: Multi-probe weak gravitational lensing and spectroscopic galaxy clustering constraints
We present a joint cosmological analysis of weak gravitational lensing observations from the Kilo-Degree Survey (KiDS-1000), with redshift-space galaxy clustering observations from the Baryon
KiDS-1000 catalogue: Weak gravitational lensing shear measurements
We present weak lensing shear catalogues from the fourth data release of the Kilo-Degree Survey, KiDS-1000, spanning 1006 square degrees of deep and high-resolution imaging. Our ‘gold-sample’ of
Dark Energy Survey Year 1 Results: Tomographic cross-correlations between Dark Energy Survey galaxies and CMB lensing from South Pole Telescope+Planck
We measure the cross-correlation between redMaGiC galaxies selected from the Dark Energy Survey (DES) Year-1 data and gravitational lensing of the cosmic microwave background (CMB) reconstructed from
Cosmological constraints from the tomographic cross-correlation of DESI Luminous Red Galaxies and Planck CMB lensing
We use luminous red galaxies selected from the imaging surveys that are being used for targeting by the Dark Energy Spectroscopic Instrument (DESI) in combination with CMB lensing maps from the
...
...

References

SHOWING 1-10 OF 462 REFERENCES
Galaxy–galaxy lensing in the Dark Energy Survey Science Verification data
We present galaxy-galaxy lensing results from 139 deg(2) of Dark Energy Survey (DES) Science Verification (SV) data. Our lens sample consists of red galaxies, known as redMaGiC, which are
Dark Energy Survey Year 3 Results: Clustering Redshifts -- Calibration of the Weak Lensing Source Redshift Distributions with redMaGiC and BOSS/eBOSS
We present the calibration of the Dark Energy Survey Year 3 (DES Y3) weak lensing source galaxy redshift distributions $n(z)$ from clustering measurements. In particular, we cross-correlate the weak
Joint galaxy - lensing observables and the dark energy
Deep multicolor galaxy surveys with photometric redshifts will provide a large number of two-point correlation observables: galaxy-galaxy angular correlations, galaxy-shear cross correlations, and
Cosmological parameter constraints from galaxy-galaxy lensing and galaxy clustering with the SDSS DR7
Recent studies have shown that the cross-correlation coefficient between galaxies and dark matter is very close to unity on scales outside a few virial radii of galaxy haloes, independent of the
Simultaneous constraints on cosmology and photometric redshift bias from weak lensing and galaxy clustering
We investigate the expected cosmological constraints from a combination of cosmic shear and large-scale galaxy clustering using realistic photometric redshift distributions. Introducing a systematic
Dark Energy Survey Year 1 results: Cross-correlation redshifts - methods and systematics characterization
We use numerical simulations to characterize the performance of a clustering-based method to calibrate photometric redshift biases. In particular, we cross-correlate the weak lensing source galaxies
Galaxy clustering, photometric redshifts and diagnosis of systematics in the DES Science Verification data
We study the clustering of galaxies detected at i < 22.5 in the Science Verification observations of the Dark Energy Survey (DES). Two-point correlation functions are measured using 2.3 × 106
Galaxy bias from galaxy-galaxy lensing in the DES science verification data
We present a measurement of galaxy–galaxy lensing around a magnitude-limited (iAB < 22.5) sample of galaxies from the dark energy survey science verification (DES-SV) data. We split these lenses into
COSMOLIKE - cosmological likelihood analyses for photometric galaxy surveys
We explore strategies to extract cosmological constraints from a joint analysis of cosmic shear, galaxy–galaxy lensing, galaxy clustering, cluster number counts and cluster weak lensing. We utilize
Evidence of the accelerated expansion of the Universe from weak lensing tomography with COSMOS
We present a comprehensive analysis of weak gravitational lensing by large-scale structure in the Hubble Space Telescope Cosmic Evolution Survey (COSMOS), in which we combine space-based galaxy shape
...
...