Dark Energy. Cluster counts, weak lensing & Supernovae Ia all in one survey. Survey (DES)

Similar documents
Introduction to SDSS -instruments, survey strategy, etc

From quasars to dark energy Adventures with the clustering of luminous red galaxies

SDSS-IV and eboss Science. Hyunmi Song (KIAS)

BAO and Lyman-α with BOSS

Baryon acoustic oscillations A standard ruler method to constrain dark energy

Basic BAO methodology Pressure waves that propagate in the pre-recombination universe imprint a characteristic scale on

Recent BAO observations and plans for the future. David Parkinson University of Sussex, UK

Constraining Dark Energy with BOSS. Nicolas Busca - APC Rencontres de Moriond 19/10/2010

Introductory Review on BAO

BAO & RSD. Nikhil Padmanabhan Essential Cosmology for the Next Generation VII December 2017

An Introduction to the Dark Energy Survey

eboss Lyman-α Forest Cosmology

Cosmology. Introduction Geometry and expansion history (Cosmic Background Radiation) Growth Secondary anisotropies Large Scale Structure

Rupert Croft. QuickTime and a decompressor are needed to see this picture.

Dark Energy Survey. Josh Frieman DES Project Director Fermilab and the University of Chicago

LSS: Achievements & Goals. John Peacock Munich 20 July 2015

Énergie noire Formation des structures. N. Regnault C. Yèche

Cosmology with the ESA Euclid Mission

Cosmology on the Beach: Experiment to Cosmology

EUCLID Spectroscopy. Andrea Cimatti. & the EUCLID-NIS Team. University of Bologna Department of Astronomy

Mapping the Universe spectroscopic surveys for BAO measurements Meeting on fundamental cosmology, june 2016, Barcelona, Spain Johan Comparat

The State of Tension Between the CMB and LSS

The Large Synoptic Survey Telescope

Tesla Jeltema. Assistant Professor, Department of Physics. Observational Cosmology and Astroparticle Physics

Power spectrum exercise

Brief Introduction to Cosmology

Background Picture: Millennium Simulation (MPA); Spectrum-Roentgen-Gamma satellite (P. Predehl 2011)

Present and future redshift survey David Schlegel, Berkeley Lab

ROSAT Roentgen Satellite. Chandra X-ray Observatory

Where do Luminous Red Galaxies form?

Some issues in cluster cosmology

Feb-2015 Hervé Dole, IAS - M2NPAC Advanced Cosmology - Dole/Joyce/Langer 1. problem?

Results from the Baryon Oscillation Spectroscopic Survey (BOSS)

The Power. of the Galaxy Power Spectrum. Eric Linder 13 February 2012 WFIRST Meeting, Pasadena

Large Scale Structure (Galaxy Correlations)

BAO from the DR14 QSO sample

BARYON ACOUSTIC OSCILLATIONS. Cosmological Parameters and You

Cosmology with high (z>1) redshift galaxy surveys

Dr Carolyn Devereux - Daphne Jackson Fellow Dr Jim Geach Prof. Martin Hardcastle. Centre for Astrophysics Research University of Hertfordshire, UK

Really, really, what universe do we live in?

Weak Gravitational Lensing. Gary Bernstein, University of Pennsylvania KICP Inaugural Symposium December 10, 2005

BAO errors from past / future surveys. Reid et al. 2015, arxiv:

Large-scale structure as a probe of dark energy. David Parkinson University of Sussex, UK

Lyman-α Cosmology with BOSS Julián Bautista University of Utah. Rencontres du Vietnam Cosmology 2015

Chapter 1 Introduction. Particle Astrophysics & Cosmology SS

Really, what universe do we live in? White dwarfs Supernova type Ia Accelerating universe Cosmic shear Lyman α forest

STUDY OF THE LARGE-SCALE STRUCTURE OF THE UNIVERSE USING GALAXY CLUSTERS

Galaxy Clusters. Giants of the Universe. Maciej Soltynski. ASSA Symposium Virgo cluster around M86

Supernovae with Euclid

Physics 24: The Big Bang, Week 3: Hubble s Law David Schlegel, LBNL

New techniques to measure the velocity field in Universe.

THE PAU (BAO) SURVEY. 1 Introduction

Large Imaging Surveys for Cosmology:

Dark Energy in Light of the CMB. (or why H 0 is the Dark Energy) Wayne Hu. February 2006, NRAO, VA

LSST + BigBOSS. 3.5 deg. 3 deg

Testing General Relativity with Redshift Surveys

PISCO Progress. Antony A. Stark, Christopher Stubbs Smithsonian Astrophysical Observatory 20 March 2009

Mapping Dark Matter with the Dark Energy Survey

THE ROAD TO DARK ENERGY

Study the large-scale structure of the universenovember using galaxy 10, 2016 clusters 1 / 16

TMT and Space-Based Survey Missions

Observational cosmology: the RENOIR team. Master 2 session

BAO & RSD. Nikhil Padmanabhan Essential Cosmology for the Next Generation December, 2017

Baryon Acoustic Oscillations (BAO) in the Sloan Digital Sky Survey Data Release 7 Galaxy Sample

The Dark Energy Survey

Jorge Cervantes-Cota, ININ. on behalf of the DESI Collaboration

Cosmology The Road Map

Measurements of Dark Energy

Measuring Neutrino Masses and Dark Energy

Sample variance in the local measurements of H 0. Heidi Wu (Caltech OSU) with Dragan Huterer (U. Michigan) arxiv: , MNRAS accepted

Galaxy Formation Now and Then

Shear Power of Weak Lensing. Wayne Hu U. Chicago

Large Scale Structure with the Lyman-α Forest

A5682: Introduction to Cosmology Course Notes. 11. CMB Anisotropy

Growth of structure in an expanding universe The Jeans length Dark matter Large scale structure simulations. Large scale structure

Cosmology with Wide Field Astronomy

An accurate determination of the Hubble constant from baryon acoustic oscillation datasets

Baryon Acoustic Oscillations Part I

Correlation Lengths of Red and Blue Galaxies: A New Cosmic Ruler

Challenges of low and intermediate redshift supernova surveys

NeoClassical Probes. of the Dark Energy. Wayne Hu COSMO04 Toronto, September 2004

Baryon Acoustic Oscillations in the Lyman Alpha Forest

Galaxies 626. Lecture 3: From the CMBR to the first star

Cosmology from Topology of Large Scale Structure of the Universe

Radial selec*on issues for primordial non- Gaussianity detec*on

Exploring dark energy in the universe through baryon acoustic oscillation

Determining neutrino masses from cosmology

Cosmology of Photometrically- Classified Type Ia Supernovae

Baryon Acoustic Oscillations and Beyond: Galaxy Clustering as Dark Energy Probe

MApping the Most Massive Overdensity Through Hydrogen (MAMMOTH) Zheng Cai (UCSC)

BAO analysis from the DR14 QSO sample

What do we really know about Dark Energy?

Galaxy formation and evolution. Astro 850

DA(z) from Strong Lenses. Eiichiro Komatsu, Max-Planck-Institut für Astrophysik Inaugural MIAPP Workshop on Extragalactic Distance Scale May 26, 2014

Supernovae Observations of the Expanding Universe. Kevin Twedt PHYS798G April 17, 2007

The Hunt for Dark Energy

High Redshift Universe

Refining Photometric Redshift Distributions with Cross-Correlations

Cross-Correlation of Cosmic Shear and Extragalactic Gamma-ray Background

Exploring Dark Energy

Transcription:

Dark Energy Cluster counts, weak lensing & Supernovae Ia all in one survey Survey (DES)

What is it? The DES Collaboration will build and use a wide field optical imager (DECam) to perform a wide area, deep photometric survey. The scientific goal of DES is to constrain the Dark Energy equation of state (w parameter) and its evolution with time, using 4 different methods: cluster counts, galaxy power spectrum, weak lensing & supernovae Ia. The expected statistical error on w is ~5% and on dw/dt is ~30%. However the real challenge is controlling the systematics!

The instrument: DECam It is a 520 (!) Mpix optical CCD imager, mounted on the prime focus of the 4m CTIO Blanco telescope. The detector will have a very wide (3 deg 2 ) fov. Will survey 5000 deg 2 of southern sky in 4 filters (g,r,i,z) The timeline for the survey is 2009-2014 (5 years/525 nights)

4 methods for probing Dark Energy 1) Cluster counts as a function of redshift. 2) Cluster angular correlation. 3) Weak lensing survey. 4) SN Ia luminosity distances.

1) Cluster counts as a function of redshift. This task will be done in collaboration with the South Pole Telescope (SPT) Sunyaev- Zeldovich cluster survey (the 2 surveys share 4000 deg 2 of sky in common). The SPT will measure the mass of tens of thousands of galaxy clusters and the DES will provide the photometric redshifts. The goal is to measure the number of clusters in a redshift bin with mass larger than a threshold as a function of redshift, which depends sensitively on the cosmological parameters.

4 methods for probing Dark Energy 1) Cluster counts as a function of redshift. 2) Cluster angular correlation. 3) Weak lensing survey. 4) SN Ia luminosity distances.

2) Cluster angular correlation. The DES survey will image ~300 million galaxies over a volume of ~10 Gpc 3 (much larger than the ~1Gpc 3 of SDSS). Measuring features in the angular power spectrum of galaxies (such as the BAO wiggles) provides you with standard rulers. SDSS power spectrum from photometric data (Padmanabhan et al. 2007)

4 methods for probing Dark Energy 1) Cluster counts as a function of redshift. 2) Cluster angular correlation. 3) Weak lensing survey. 4) SN Ia luminosity distances.

3) Weak lensing DES will measure the shape of ~300 million galaxies and will be able to study the Weak Lensing of galaxies in different redshift bins (weak lensing tomography). The clustering of Dark Matter (shear-shear autocorrelation) and the clustering of galaxies with respect to Dark Matter (galaxy-shear crosscorellation) are powerful probes of cosmological parameters.

4 methods for probing Dark Energy 1) Cluster counts as a function of redshift. 2) Cluster angular correlation. 3) Weak lensing survey. 4) SN Ia luminosity distances.

4) SN Ia luminosity distances DES will use 10% of its time in repeat imaging of 40 deg 2 of sky to find ~2000 SuperNovae type Ia. Constraints produced by SN Ia luminosity distances are almost perpendicular to CMB constraints on the w-ω m plane.

The big enemy: systematics 1) Cluster counts as a function of redshift. systematics: Need to understand very well the selection function of Sunyaev-Zeldovich cluster surveys. Need to know the mass-sz decrement relation. remedies: Detection of clusters in the optical DES data (that are subject to different systematics) can help determine the selection function. Simulations, and weak lensing mass measurements can help calibrate the mass-sz decrement relation.

The big enemy: systematics 2) Cluster angular correlation. systematics: Need to understand how galaxy number relates to density of matter (galaxy bias). Need accurate photometric zero point over the whole survey area. Accurate photo-z distances. remedies: Use of bispectrum to infer galaxy bias. Multiple visits to each field. Checking consistency of results in different subsamples. Deep spectroscopic training set available.

The big enemy: systematics Weak Lensing. systematics: Multiplicative and additive shape noise (namely seeing and psf anisotropy). Possible photo-z biases. remedies: Site with good seeing, shear vs. galaxy size. Repeat pointings on fields to effectively increase the density of stars to calibrate psf. Deep spectroscopic training set available.

The big enemy: systematics 4) SN Ia luminosity distances. systematics: SN evolution. Photo-z accuracy. remedies: Comparison of low- and high-z SN lightcurves. Photometric redshift of parent galaxy and photo-z of SN Ia themselves (new!)

Forecast Dark Energy Constraints Depends on priors and assumptions about the evolution of w. Statistical errors only!

Baryon Oscillations Spectroscopic Survey (BOSS) Hunting the baryon wiggles

What is it? Is one of the 4 surveys of SDSS-III (the other 3 being: SEGUE2, APOGEE, MARVELS) The scientific goal of BOSS is to measure the Baryon Acoustic Oscillation scale at low (z < 0.7) and high (z ~ 2.5) redshift, using Luminous Red Galaxies and Quasar Ly-α forest lines respectively. Measuring the BAO peak in the transverse and line-of-sight direction gives you the angular diameter distance and the Hubble constant at a given redshift.

Baryon Acoustic Oscillation (BAO) Galaxies tend to cluster more on a 150 Mpc (comoving) scale. Provides a standard ruler in the universe that allows us to measure the angular diameter distance at a given redshift. SDSS correlation function from spectroscopic LRG sample (Eisenstein et al. 2005)

Luminous Red Galaxies (LRGs) BAO studies use Luminous Red Galaxies (LRGs), which can be seen at great distances and are composed by a single old population of stars. The SDSS BAO peak detection was based on ~50 000 LRGs in the redshift range 0.16 < z < 0.47. The BOSS sample will consist of ~1.5 million(!) LRGs out to z < 0.7.

Quasar Ly-α forest absorption BOSS will also take the spectra of ~160 000 Quasars at high redshift (z ~ 2.5) and will probe the correlation function of the hydrogen gas clouds responsible for the Lyman-α forest.

Anisotropic BAO The galaxy correlation function can be broken down into a transverse, and a radial component ξ(σ,π). The transverse component translates into an angle and the radial into a velocity, constraining the angular diameter distance and the Hubble constant respectively. Anisotropic correlation function using 75 000 LRGs from SDSS DR6. (Gaztañaga,Cabré, Hui 2008)

Expected results BOSS SDSS (present) Aims at measuring the angular diameter distance and Hubble constant at a precision of ~1% at z=0.35 and z=0.6, using LRGs. Aims at measuring thebao scale at a precision of 1.5% at z ~ 2.5, using Quasar Ly-α forest absorption. Measured the angular diameter distance to z=0.35 with an accuracy of ~5% Measured the Hubble constant at z=0.24 and z=0.43 with ~4% error.