An Analytic Investigation of the Effect of Systematics on

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Transcript An Analytic Investigation of the Effect of Systematics on

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Tom Kitching
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Tom Kitching
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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
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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
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
7/19
Slide from S. Bridle
Noise
Mostly Poisson. Some Gaussian and bad pixels.
Uncertainty on total light ~ 5 per cent
8/19
Slide from S. Bridle
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Need to measure shear to 10-3
Current Methods
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STEP : Shear Testing Programme
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Heymans et al., 2006; Massey et al., 2007 & Kitching et al., 2008
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KSB
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
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Quality Factor
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Kitching et al., 2008 (form filling functions); Amara & Refregier (2007)
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7 non-lensing participants
Q~1000 in some regimes
GREAT08 : Stacking Procedure is Important
Average Data
Individual
Object
Statistic
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Ensemble
Statistic
Average
Estimators
Winning Methods (Q=1000) Stacked the Data
STEP
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2006
2008
2010
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
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Massey et al. 2008
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Fu et al. 2008
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 
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
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Bonus Star Challenge:
Reconstruct the PSF at
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non-star positions
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Get Ready !
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 
http://www.greatchallenges.info/
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GREAT10 Handbook, Kitching et al., 2010
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