Www.great08challenge.info 1/19 PASCAL Challenge PASCAL Workshop, Bled 28 Jan 2008 Sarah Bridle (UCL)...

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www.great08challenge.info www.cosmocoffee.info 1/19 PASCAL Challenge PASCAL Workshop, Bled 28 Jan Sarah Bridle (UCL) on behalf of the GREAT08

Transcript of Www.great08challenge.info 1/19 PASCAL Challenge PASCAL Workshop, Bled 28 Jan 2008 Sarah Bridle (UCL)...

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PASCAL Challenge

PASCAL Workshop, Bled 28 Jan 2008Sarah Bridle (UCL) on behalf of the GREAT08 Team

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…tbc

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Contents of our Universe

70% Dark Energy

25% Dark Matter

5% Baryonic Matter

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Gravitational Lensing

Light from a distant galaxy is bent around a mass

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Gravitational Lensing

Galaxies seen through dark matter distribution analogous to

Streetlamps seen through your bathroom window

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Cosmic Lensing

Real data:gi~0.03

gi~0.2

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Atmosphere and Telescope

Convolution with kernel

Real data: Kernel size ~ Galaxy size

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Pixelisation

Sum light in each square

Real data: Pixel size ~ Kernel size /2

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Noise

Mostly Poisson. Some Gaussian and bad pixels.Uncertainty on total light ~ 5 per cent

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Typical starUsed for finding Convolution kernel

Typical galaxyused for cosmicshear analysis

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GREAT08 Data

One galaxy per imageKernel is givenOne shear per setNoise is Poisson

~10 000 imagesdivided into ~10 sets

~100 000 000 images

Divided into ~1000 sets

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GREAT08 Results

You submit g1, g2 for each set of images

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GREAT09 and Beyond• Kernel is not given (just kernel images)• Galaxies with more complicated shapes• Kernel is more realistic• Many objects in each image• Correlated noise• Poisson + Gaussian noise + bad pixels• Shear is different for each galaxy• Kernel is not the same for every galaxy• Cosmic rays, satellite tracks, saturated stars• Multiple exposures• Pixels not exactly square or on a grid

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GREAT08 Timeline• ~8 Feb 2008 GREAT08 Handbook public• Feb 2008 Produce simulations• Mar 2008 Internal analysis of simulations• ~ May 2008 Release simulations

– Leaderboard starts containing best internal results

• ~ Nov 2008 Competition deadline• ~ Dec 2008 Workshop; Release final report

– Input shears public

www.great08challenge.info

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GREAT08 Summary

• 100 million images• 1 galaxy per image• De-noise, de-convolve, average → shear

• gi ~ 0.03 to accuracy 0.0003 → Q~1000 → Win!

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cosmocoffee.info

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GREAT08

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Understanding Cosmology

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GREAT08 Summary

• 100 million images• 1 galaxy per image• De-noise, de-convolve, average → shear

• gi ~0.03 to accuracy 0.0003 → Q~1000 → Win!

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Questions for you• Is there too much astronomy to learn?

– Yes– No

• Is timeline (~6 months) right?– Too short – Fine– Too long

• Is this potentially on your research agenda?– No– Maybe– Yes

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