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<br>Increasingly large areas in cosmic shear surveys lead to a reduction of statistical errors, necessitating to manage systematic errors increasingly better. One of those systematic results was initially studied by Hartlap et al. 2011, buy [Wood Ranger Power Shears coupon](https://www.ge.infn.it/wiki//gpu/index.php?title=Pruning_Shears_Trim_Bins) [Wood Ranger Power Shears warranty](https://www.guerzhoy.a2hosted.com/index.php/User:MilesPeake36) [Wood Ranger Power Shears warranty](https://www.realmsofthedragon.org/w/index.php?title=Electron-scale_Kelvin-Helmholtz_Instability_In_Magnetized_Shear_Flows) Shears namely that picture overlap with (brilliant foreground) galaxies could forestall some distant (supply) galaxies to remain undetected. Since this overlap is more likely to happen in areas of excessive foreground density - which are typically the regions by which the shear is largest - this detection bias would trigger an underestimation of the estimated shear correlation function. This detection bias adds to the doable systematic of picture mixing, where nearby pairs or multiplets of images render shear estimates more uncertain and thus may trigger a reduction in their statistical weight. Based on simulations with knowledge from the Kilo-Degree Survey, we study the conditions below which pictures should not detected. We find an approximate analytic expression for the detection likelihood in terms of the separation and brightness ratio to the neighbouring galaxies.<br> |
