A new estimator for weak lensing based on IM-Galaxy cross ... · • Weak lensing: probe of matter...

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A new estimator for weak lensing based on IM-Galaxy cross correlation Swiss SKA Days University of Bern June 20, 2019 Mona Jalilvand In collaboration with: Elisabetta Majerotto, Camille Bonvin, Fabien Lacasa, Martin Kunz, Kavilan Moodley, Warren Naidoo

Transcript of A new estimator for weak lensing based on IM-Galaxy cross ... · • Weak lensing: probe of matter...

Page 1: A new estimator for weak lensing based on IM-Galaxy cross ... · • Weak lensing: probe of matter distribution and sensitive to the dynamics of the universe z~1. Introduction to

A new estimator for weak lensing based on IM-Galaxy

cross correlation

Swiss SKA Days University of Bern

June 20, 2019

Mona JalilvandIn collaboration with: Elisabetta Majerotto,

Camille Bonvin, Fabien Lacasa, Martin Kunz, Kavilan Moodley, Warren Naidoo

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Motivation

• Future 21cm surveys will probe high redshifts • Complementary to the CMB and galaxy surveys• Test our models in a wider range of distances• Weak lensing: probe of matter distribution and

sensitive to the dynamics of the universe

z~1

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Introduction to weak lensing of

galaxies and intensity mapping

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Lensing effect on observed galaxies

Shape correlation (cosmic shear)

Diagram credit: Michael Sachs

Needs precise shape measurements

Number density of galaxies

magnification bias

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Remapping of temperature fluctuations

Second and higher order lensing terms

Lensing effect on intensity mapping

Lensing conserves surface brightness

No first order lensing term added to IM

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Standard estimator for detecting magnification bias

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Standard estimator: galaxy-galaxy cross correlation

Contamination from density term

Lensing terms

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Introduction to the new estimator

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Idea of new estimator

density + lensing term density

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Contamination: reduced by a factor proportional to bias difference

Lensing terms

New estimator:

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Contamination

DESxHIRAX zb = 1.25 zf = 1.0

~ 1 % for

~ 40 % for

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Variance

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Signal-to-noise-ratio DESxHIRAX

Shot noise + thermal noise

zb = 1.3 zf = 0.8

Cosmic variance limited

~ 357

~ 15

~ 11

~ 8

Optimistic case

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Fisher forecast

DESxHIRAX

EuclidxHIRAX

z =[0.8, 1.3]

z =[0.2, 1.3]

DES

z =[0.8, 2.5]

Euclid

z =[0.2, 2.5]

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EuclidxSKAMID

In optimistic case: EuclidxSKA improves magnificentlyIn realistic and pessimistic case: we are killed by thermal noise

z ∈[0.35, 2.5]SKA phase1 looks at redshift after reionizationSKA1-MID probes z ∈ [0.35, 3]

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Conclusion

• The new estimator we introduce reduces contamination

and allows closer bins to be used for signal detection

• It increases signal-to-noise ratio by a factor of ~3 in the redshift

range of z=1.4 to z=2 for EucildxHIRAX

• Reduces systematics since it’s built up by the cross correlation

of data from two different surveys

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