realistic images, containing a known shear (distortion) signal
DESCRIPTION
Blind challenges to improve weak lensing measurement. Simulated image. Real image. Realistic images, containing a known shear (distortion) signal . Animations show 0-10% distortio n in 1% steps (much bigger than ~2 % real signal) . The Forward Process. - PowerPoint PPT PresentationTRANSCRIPT
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Realistic images, containing a known shear (distortion) signal.
Animations show 0-10% distortion in 1% steps (much bigger than ~2% real signal).
Simulated image Real imageBlind challenges to improve weak lensing measurement
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A problem ideally suited to simulation
The Forward Process
The Inverse Problem
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Figure of merit Iterations & lessons2006: STEP IKnown PSF, simple galaxy morphologies, random positions, constant input shear
2007: STEP IIKnown PSF, complex galaxy morphologies, random positions, constant input shear
KISS! And this isn’t an “astronomy” problem
2009: GREAT08Known PSF, simple galaxy morphologies, grid of positions, constant input shear
Winners were computer scientists! But when outsourcing, must ask right question
2011: GREAT10 Don’t include a dateVarying PSF, simple galaxy morphologies, grid of positions, input shear f(RA,Dec)
Input shear
Mea
sure
d sh
ear
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Separablechallenges
Kitching et al. 2011
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Star challenge (~50Gb)Multiple tiers: Moffat/Airy, with/without diffraction spikes
Jitter, optical distortions, trackingSingle-screen Kolmogorov turbulence
Barney Rowe (UCL/JPL)
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Separablechallenges
Kitching et al. 2011
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Galaxy challenge (~1Tb)Multiple tiers: Bulge/disc models
Big/small, bright/faint galaxiesGround/space observing conditionsAll had a known PSF (the problems are
separable)
Tom Kitching (ROE)
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Nestedchallenges
Kitching et al. 2011
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Crowdsourcing (~10Gb, .png)Target the small of GalaxyZooers who wanted to write an algorithmBetter name, advertise in WSJ, White House blog, offer a “cool” prize
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Roger Bannister effect
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Figure of merit Past iterations2006: STEP IKnown PSF, simple galaxy morphologies, random positions, constant input shear
2007: STEP II1 Q=57Known PSF, complex galaxy morphologies, random positions, constant input shear
2009: GREAT08 Q=119Known PSF, simple galaxy morphologies, grid of positions, constant input shear
2011: GREAT10 Q=309Varying PSF, simple galaxy morphologies, grid of positions, input shear f(RA,Dec)
Requirement for Euclid/WFIRST (2019)Bernstein has achieved this, at high S/N
Q=1000
Input shear
Mea
sure
d sh
ear
Q is a combination of multiplicative & additive biases. High values are better.
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Testing the unknown unknowns
Offner relay
Suresh Seshadri (JPL), Roger Smith (Caltech), Jason Rhodes (JPL)
Mask ofknownshapes
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Lensing in a lab
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Lensing in a lab