Wood Ranger Power Shears: Reliable Power in Every Cut

Increasingly massive areas in cosmic shear surveys lead to a reduction of statistical errors, necessitating to control systematic errors increasingly better. One of those systematic results was initially studied by Hartlap et al. 2011, specifically that image overlap with (shiny foreground) galaxies might stop some distant (supply) galaxies to remain undetected. Since this overlap is extra more likely to happen in areas of excessive foreground density - which are typically the regions during which the shear is largest - this detection bias would cause an underestimation of the estimated shear correlation function. This detection bias provides to the possible systematic of image mixing, where nearby pairs or multiplets of pictures render shear estimates more uncertain and thus may cause a discount in their statistical weight. Based on simulations with information from the Kilo-Degree Survey, we research the situations under which photographs aren't detected. We discover an approximate analytic expression for the detection likelihood when it comes to the separation and brightness ratio to the neighbouring galaxies.

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