ludovic van waerbeke department of physics and astronomy university of british columbia statistical...
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![Page 1: Ludovic Van Waerbeke Department of Physics and Astronomy University of British Columbia Statistical lensing in COSMOS With: F. Bernardeau (CEA) Y. Mellier](https://reader030.vdocuments.site/reader030/viewer/2022020106/56649d7a5503460f94a5e514/html5/thumbnails/1.jpg)
Ludovic Van WaerbekeDepartment of Physics and Astronomy
University of British Columbia
Statistical lensing in COSMOS
With:
F. Bernardeau (CEA)Y. Mellier (IAP)E. Semboloni (IAP)& the COSMOS team
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Weak lensing two-points Weak lensing two-points statistics: What is measured?statistics: What is measured?
Mass power spectrum Mass power spectrum normalisationnormalisation
Slope of the power spectrumSlope of the power spectrum
Mean density parameterMean density parameter
Redshift of the sourcesRedshift of the sources
<<>>~~zzss
1.4 1.4 -(-(nn+2)/2+2)/2
Contaldi et al. 2004
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VIRMOSI~24Z~0.9LVW et al.
COSMOS should reach ~ same accuracy with two major differences:-followups. In particular photoz enables lenses selection, 3D lensing, etc…-morphology-depth enables high order statistics despite small FOV.
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redshift distributions based on the Hubble deep fields
25.<i<27.Zphot~1.4
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Cycle 12 area Polygon masks (ds9 format) are available
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PSF anisotropy pattern averaged over cycle 12 chips
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Preliminary E and B modes aperture mass
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LCDM model with 8=0.8 and zS~1.4
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~30 stars per chip
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Needs image reprocessing with smaller pixel size?
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Star-gal shear aperture correlation
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Star-gal shear correlation function
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Strong lensing with R. Gavazzi (OMP, Toulouse)
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Singular ISZlens~0.4Zsource~3Re=1.58”
M~4.4x1011 Mo h70-1
Inverse pixel mapping into the source plane