CMB Observations with the Cosmic Background Imager

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2005 March 24 1 CMB Observations with the Cosmic Background Imager Tim Pearson for the CBI team Tony Readhead (Principal Investigator), Steve Padin (Project Scientist until 2002).

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CMB Observations with the Cosmic Background Imager. Tim Pearson for the CBI team. Tony Readhead (Principal Investigator), Steve Padin (Project Scientist until 2002). CBI Timeline. 1995-1999: design and construction 1998-1999: testing in Pasadena 1999: ship to Chile and commission - PowerPoint PPT Presentation

Transcript of CMB Observations with the Cosmic Background Imager

Page 1: CMB Observations with the Cosmic Background Imager

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CMB Observations with the Cosmic Background Imager

Tim Pearson

for the CBI team

Tony Readhead (Principal Investigator), Steve Padin (Project Scientist until 2002).

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CBI Timeline

• 1995-1999: design and construction• 1998-1999: testing in Pasadena• 1999: ship to Chile and commission• 2000-2001: CMB T and SZE observations (Stokes L)

– 2-field differencing• 2002-2005: CMB polarization observations (Stokes L&R)

– 6-field common mode • Jun 2005 - present: idle (unfunded)• May-Dec 2006: upgrade to larger antennas, T/SZE

observations• 2007- : replace with QUIET receivers

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13 Cassegrain antennas0.9 m diameter26–36 GHz, 10 channelsHEMT amplifiers, Tsys ~ 27 KBaselines 1 m – 5.5 mAnalog correlatorAlt-az mount with parallactic rotation

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The CBI – Interferometry of the CMB

• An interferometer cross-correlates the signals received by two separated antennas: the response (“visibility”) is proportional to a Fourier component with spatial frequency u = d/λ.

• The power spectrum Cl is the expectation of the square of the Fourier transform of the sky intensity distribution: i.e., closely related to the square of the visibility VV*.

– Multipole l = 2 u– Estimate spectrum by squaring visibility and subtracting noise bias.– The observed sky is multiplied by the primary beam, corresponding

to convolution (smoothing) in the (u,v) plane: so the interferometer measures a smoothed version of the power spectrum.

– Mosaicing several fields is equivalent to using a larger primary beam, thus improving resolution in l.

• CMB interferometers– CAT, DASI, CBI, VSA, MINT, Amiba

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Interferometry Advantages

• Insensitive to large-scale structure• Uncorrelated noise• Direct measurement of polarization Q ± iU• Beam uncertainty not very important• Very different systematics

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Chajnantor Observatory

Home of CBI, QUIET, and other experiments

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Total Intensity Observations

• Observations made in 1999-2002• Problem 1: Ground spillover

– Differencing of two fields observed at same AZ/EL• Problem 2: Foreground point sources

– Measure with higher resolution instrument – “Project out” of dataset sources of known position– Statistical correction to power spectrum

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Mosaic images•Emission from ground (horizon) dominant on 1-meter baselines•Observe 2 fields separated by 8 min of RA, lead for 8 min followed by trail for 8 min; subtract corresponding visibilities. Ground emission cancels.•Images show lead field minus trail field•Also eliminates low-level spurious signals

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• Compact array

• switchable RCP or LCP

36 RR or LL baselines measure I

42 RL or LR baselines measure Q+iU or E+iB

• New ground strategy: strips of 6 fields, remove common mode (mean);(Lose 1 mode per strip to ground)

• CBI observes 4 patches of sky – 3 mosaics & 1 deep strip

Pointings in each area separated by 45’. Mosaic 6x6 pointings, for 4.5 deg square, deep strip 6x1.

• 2.5 years of data, Aug 02 – Apr 05.

* Note bug in earlier analysis: omitted one antenna (12/78 baselines!)

CBI Polarization

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Raw Images

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“Ground subtracted” images

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Data Reduction

• Editing and calibration• Noise estimation• Gridding of RR+LL, RL, LR or T, E, and B with full

covariance matrix calculation• Project out common ground (downweight linear combination

of data)• Project out point sources in T• Ignore point sources in polarization• Images of E and B (FT of gridded estimators)• Power spectrum estimation by max likelihood

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CBI Combined TT (2000-2005)

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2.9σ above model

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Projecting Out Variable Sources

Marginalize over 1 parameter (flux) for each source,

Or 2 parameters (2000-01 and 2002-05 flux).

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Cosmology Results

CBI has measured power spectrum to much higher l than previous experiments, well into damping tail

Flat universe with scale-invariant primordial fluctuation spectrum

Low matter density, baryon density consistent with BBN, non-zero cosmological constant

Agreement with Boomerang, DASI, VSA and Maxima at l < 1000 is excellent

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At 2000 < l <3500, CBI finds power ~ 3 sigma above the standard models

Not consistent with any likely model of discrete source contamination

Suggestive of secondary anisotropies, especially the SZ effect

Comparison with predictions from hydrodynamical calculations: strong

dependence on amplitude of density fluctuations, 87 . Requires 8~1.0

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Varying 6 parameters plus amplitude of SZ template component

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CBI Upgrade

• Larger 1.4-m dishes (Oxford University)– Lower ground pickup, lower noise

• Ground screen • Close-packed array• Concentrate on high-l excess and SZE in clusters• 9–12 months of observing before QUIET

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CBI2

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NVSS Sources in CBI Field

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GBT observations• Green Bank telescope 30 GHz

measurements of NVSS sources in CBI fields

• New Caltech Continuum Backend for switched observations

• 1580 (of ~4000) sources observed so far under photometric conditions

• 175 detected S > 2.5 mJy (5σ) at 32 GHz

• Non-detections can be safely ignored in CBI!

• Additional GBT observations to characterize faint source population

• Brian Mason, Larry Weintraub, Martin Shepherd

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SZE SZE SecondarySecondaryCMB CMB

PrimaryPrimary

87

CBI2 Projection

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CBI Polarization Spectra

TT

BB

TE

EE

•TT consistent with earlier results•EE and TE consistent with predictions•BB consistent with zero

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Shaped Cl Fit• Use WMAP’03+CBI TT+ Acbar

best-fit Cl as fiducial model

• Results for CBI

– EE qB = 0.97 ± 0.14 (68%)

– EE likelihood vs. zero : significance 10.1 σ

– TE qB = 0.85 ± 0.25

– BB qB = 1.2 ± 1.8 μK2

Likelihood of EE Amplitude vs. “TT Prediction”

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Comparison of Experiments

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Comparison of Experiments

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Comparison of Experiments

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θ/θ0

• Angular size of sound horizon at LSS should be same for TT and EE.

• CBI only has multiple solutions (shift spectrum by one peak).

• DASI removes degeneracy, but less sensitive.

• CBI EE + DASI EE give scale vs. TT of 0.98 +/- 0.03.

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Isocurvature

Isocurvature puts peaks in differentplaces from adi-abatic. We use seed isocurvaturemodel and findboth EE and TEprefer adiabatic w/iso consistent withzero.

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Isocurvature

• Normalize seed iso spectrum to total power expected from TT adiabatic prediction

• Fit shapes for both EE, TE• EE adi =1.00±0.24, iso=0.03±0.20• TE adi = 0.86±0.26, iso=0.04±0.25

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Foregrounds

WMAP synchrotron component(WMAP Science Team)

DRAO 1.4 GHz polarized intensity(Wolleben et al. astro-ph/0510456)

WMAP Ka-band polarization

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Foregrounds

• TT: template comparisons– 2.5σ detection of correlation

with 100 μm template– CHFT observations to

provide SZ template• Polarization: No evidence (yet)

for foreground contamination:• No B-mode detection• No indication of discrete sources

(power ∝ l2)• Upper limit on synchroton

component (DASI)

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WMAP3

WMAP3+CBIcombinedTT+CBIpol

CMBall = Boom03pol+DASIpol +VSA+Maxima+WMAP3+CBIcombinedTT+CBIpol

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People

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• http://astro.caltech.edu/~tjp/CBI/

• Readhead et al. 2004, ApJ, 609, 498

• Readhead et al. 2004, Science 306, 836

• Sievers et al. 2005, astro-ph/0509203