Title: Presentations to Blanco Instrument Review Panel
1Presentations to Blanco Instrument Review Panel
- Intro and Science 1 Mohr
- Science 2 and Context Frieman
- Survey Design Annis
- Instrument Flaugher
- Optical Design Kent
- Data Management Plante
- Project Management Peoples
2Toward an Understanding of the Dark Energy/
Cosmic Acceleration
- Measuring (relative) distances or volumes out to
z2 - Measuring the growth rate of cosmic structures
- Detecting dark energy clustering in the power
spectrum of density fluctuations - Measure evolution of gravitational potential
wells using the Integrated Sachs-Wolfe effect - Laboratory experiments and theoretical progress
3Key Techniques for Measuring the Dark Energy
Equation of State Parameter
- Type Ia Supernovae as standard candles
- Power spectrum measurements using galaxies or
clusters - Cosmic Microwave Background anisotropy
- Weak lensing measurements
- Galaxy cluster surveys
4The Dark Energy Survey
- A study of the dark energy using four independent
and complementary techniques - Galaxy cluster surveys
- Galaxy angular power spectrum
- Weak lensing
- SN Ia distances
- Two linked, multiband optical surveys
- 5000 deg2 g, r, i and z
- Repeated observations of 40 deg2
- Instrument and schedule
- New 3 deg2 camera on the Blanco 4m on Cerro
Tololo - Construction 2004-2009
- Survey Operations 30 of telescope time over 5
years
5The Dark Energy Survey Collaboration
- Fermilab- Camera building, Survey Planning and
Simulations - Annis, Dodelson, Flaugher, Frieman, Gladders,
Hui, Kent, Lin, Limon, Peoples, Scarpine,
Stebbins, Stoughton, Tucker and Wester - Carnegie Fellow, Carnegie Observatories
- U Illinois- Data Management, Data Acquisition,
SPT - Brunner, Karliner, Mohr, Plante, Selen and Thaler
- U Chicago- SPT, Simulations, Corrector
- Carlstrom, Dodelson, Frieman, Hu, Kent, Sheldon
and Wechsler - LBNL- Red Sensitive CCD Detectors
- Aldering, Bebek, Levi, Perlmutter and Roe
- CTIO- Telescope Camera Operations
- Abbott, Smith, Suntzeff and Walker
6Cluster Survey Studies of the Dark Energy are
Complementary and Competitive
- Cluster constraints on dark energy
- The cluster redshift distribution, the cluster
power spectrum and 30 accurate mass measurements
for 100 clusters between z of 0.3-1.2 - Fiducial cosmology (WMAP s80.84, Wm0.27)
29000 clusters in the 4000 deg2 SPT survey. - The joint constraints on w and Wm
- Curvature free to vary (dashed) fixed (solid)
- Marginalized constant w 68 uncertainty is 0.046
(flat) or 0.071 (curvature varying) - Parameter degeneracies complementary
SPT Majumdar Mohr 2003 SNAP Perlmutter
Schmidt 2003 WMAP Spergel et al 2003
7Cluster Redshift Distribution is Sensitive to the
Dark Energy Equation of State Parameter
w constraints
- Raising w at fixed WE
- decreases volume surveyed
- decreases growth rate of density perturbations
8Precision Cosmology with Clusters
- Requirements
- Quantitative understanding of the formation of
dark matter halos in an expanding universe - Clean way of selecting a large number (104) of
massive dark matter halos (galaxy clusters) over
a range of redshifts - Crude redshift estimates for each cluster
- Observables that can be used as mass estimates at
all redshifts - Technique called self-calibration provides a
framework for determining cosmology and
mass-observable relation simultaneously
910m South Pole Telescope (SPT)and 1000 Element
Bolometer Array
- Low noise, precision telescope
- 20 um rms surface
- 1 arc second pointing
- 1.0 arcminute at 2 mm
- chop entire telescope
- 3 levels of shielding
- 1 m radius on primary
- inner moving shields
- outer fixed shields
SZE and CMB Anisotropy - 4000 sq deg SZE
survey - deep CMB anisotropy fields - deep
CMB Polarization fields
People Carlstrom (UC) Holzapfel (UCB) Lee
(UCB,LBNL) Leitch (UC) Meyer (UC) Mohr (U
Illinois)Padin (UC) Pryke (UC) Ruhl
(CWRU) Spieler (LBNL) Stark (CfA)
1000 Element Bolometer Array - 3 to 4
interchangeable bands (90) 150, 250 270
GHz - APEX-SZ style horn fed spider web
absorbers
NSF-OPP funded scheduled for Nov 2006
deployment DoE (LBNL) funding of readout
development
10SPT Structure and Shielding
11SPT Survey Region
- SPT will survey all the extragalactic sky south
of declination d-300 - This corresponds to approximately 4000 deg2 of
reasonably clean sky - north of d-750
- 20hr lt a lt 7hr
- This region is easily observable with the Blanco
4m on Cerro Tololo
12DES Cluster Photo-zs
- DES data will enable cluster photometric
redshifts with dz0.02 for all SPT clusters out
to z1.3
- Uses Monte-carlo estimates of galaxy photo-z
uncertainties, which include appropriate
photometric noise Huan Lin - Uses halo occupation number N(M) measured in 100
local groups and clusters Y-T Lin, Mohr
Stanford 2004 - Adopts redshift evolution of N(M)(1z) and
passive evolution of galactic stars
Figure from Huan Lin
13Why a Large SZE Cluster Survey?
- Improved halo mass estimates- the mass-observable
relations in the optical are not as clean - 100 rms in optical- see below- versus 10-25
in SZE - Improved cluster selection- projection and
environment issues are not as severe (optical
data complementary) - What about X-ray surveys (serendipitous and with
DUO)?
14DES Galaxy Angular Power Spectrum
- DES main survey will yield photo-zs on
approximately 300 million galaxies extending
beyond a redshift z1 - Photo-z uncertainties are too large to allow a
full study of the 3D galaxy clustering, but we
can study the angular clustering within redshift
shells to z1 - Features in the angular power spectrum reflect
standard rods that follow from simple physical
arguments and can be calibrated using CMB
anisotropy data. - Apparent sizes of features provide angular
diameter distances to each redshift shell (i.e.
Cooray et al 2001). The clustering amplitude is
unimportant, and so the unknown galaxy bias is no
problem.
15Galaxy Angular Power Spectrum Cosmology
Figures from Wayne Hu
- With Planck priors, constraints on a constant
equation of state parameter w are better than
dw0.1
- We use the galaxy angular power spectrum within
redshift shells, concentrating only on the
portion with 50 lt ell lt 300 - We marginalize over 5 halo model parameters in
each redshift bin
16Presentations to Blanco Instrument Review Panel
- Intro and Science 1 Mohr
- Science 2 and Context Frieman
- Survey Design Annis
- Instrument Flaugher
- Optical Design Kent
- Data Management Plante
- Project Management Peoples