Tom Kitching Coordination Team THOMAS KITCHING ADAM AMARA

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Tom Kitching

Tom Kitching

Coordination Team: THOMAS KITCHING, ADAM AMARA, SARAH BRIDLE, MANDEEP GILL, CATHERINE HEYMANS, RICHARD MASSEY,

Coordination Team: THOMAS KITCHING, ADAM AMARA, SARAH BRIDLE, MANDEEP GILL, CATHERINE HEYMANS, RICHARD MASSEY, BARNABY ROWE, LISA VOIGT Advisory Team: SREE BALAN, GARY BERNSTEIN, MATTHIAS BETHGE, FREDERIC COURBIN, MARC GENTILE, STEFAN HARMELING, ALAN HEAVENS, MICHAEL HIRSCH, RESHAD HOSSEINI, DONNACHA KIRK, KONRAD KUIJKEN, RACHEL MANDELBAUM, BABACK MOGHADDAM, GULDARIYA NURBAEVA, STEPHANE PAULIN-HENRIKSSON, ANAIS RASSAT, JASON RHODES, BERNHARD SCHOLKOPF, TIM SCHRABBACK, JOHN SHAWE-TAYLOR, MARINA SHMAKOVA, ANDY TAYLOR, MALIN VELANDER, LUDOVIC VAN WAERBEKE, DUGAN WITHERICK, DAVID WITTMAN

The Challenge of Measuring Shapes §

The Challenge of Measuring Shapes §

Typical galaxy used for cosmic shear analysis Typical star Used for finding Convolution kernel

Typical galaxy used for cosmic shear analysis Typical star Used for finding Convolution kernel Slide from S. Bridl

Cosmic Lensing gi~0. 2 Real data: gi~0. 03 5/19 Slide from S. Bridle

Cosmic Lensing gi~0. 2 Real data: gi~0. 03 5/19 Slide from S. Bridle

Atmosphere and Telescope Convolution with kernel Real data: Kernel size ~ Galaxy size 6/19

Atmosphere and Telescope Convolution with kernel Real data: Kernel size ~ Galaxy size 6/19 Slide from S. Bridle

Pixelisation Sum light in each square Real data: Pixel size ~ Kernel size /2

Pixelisation Sum light in each square Real data: Pixel size ~ Kernel size /2 7/19 Slide from S. Bridle

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

Noise Mostly Poisson. Some Gaussian and bad pixels. Uncertainty on total light ~ 5 per cent 8/19 Slide from S. Bridle

Need to measure shear to 10 -3

Need to measure shear to 10 -3

Current Methods §

Current Methods §

STEP : Shear Testing Programme § §

STEP : Shear Testing Programme § §

Heymans et al. , 2006; Massey et al. , 2007 & Kitching et al.

Heymans et al. , 2006; Massey et al. , 2007 & Kitching et al. , 2008 KSB

Quality Factor Kitching et al. , 2008 (form filling functions); Amara & Refregier (2007)

Quality Factor Kitching et al. , 2008 (form filling functions); Amara & Refregier (2007)

7 non-lensing participants Q~1000 in some regimes

7 non-lensing participants Q~1000 in some regimes

GREAT 08 : Stacking Procedure is Important Average Data Individual Object Statistic Ensemble Statistic

GREAT 08 : Stacking Procedure is Important Average Data Individual Object Statistic Ensemble Statistic Average Estimators Winning Methods (Q=1000) Stacked the Data

STEP 2006 2008 2010

STEP 2006 2008 2010

Massey et al. 2008 Fu et al. 2008

Massey et al. 2008 Fu et al. 2008

§ § Bonus Star Challenge: Reconstruct the PSF at non-star positions §

§ § Bonus Star Challenge: Reconstruct the PSF at non-star positions §

Get Ready ! § § §

Get Ready ! § § §

http: //www. greatchallenges. info/ GREAT 10 Handbook, Kitching et al. , 2010

http: //www. greatchallenges. info/ GREAT 10 Handbook, Kitching et al. , 2010

http: //www. greatchallenges. info/ “Every time the amount of data increases by a factor

http: //www. greatchallenges. info/ “Every time the amount of data increases by a factor of ten we should totally rethink the way we analyze it” Jerome Freidman, Data Mining and Statistics, 1997