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
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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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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Massey et al. 2008
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Fu et al. 2008
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Bonus Star Challenge:
Reconstruct the PSF at
non-star positions
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