Abstract
We consider the possible gain in the measurement of lensing shear from imaging datain multiple filters. Galaxy shapes may differ significantly across filters, so thatthe same galaxy offers multiple samples of the shear. At the other extreme, ifgalaxy shapes are identical in different filters, one can combine them to improvethe signal-to-noise ratio and thus increase the effective number density of faint,high redshift galaxies. We use the GOODS dataset to test these scenarios bycalculating the covariance matrix of galaxy ellipticities in four visual filters(B,V,i,z). We find that galaxy shapes are highly correlated, and estimate the gain in galaxy numberdensity by combining their shapes.
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