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<br>Increasingly large areas in cosmic shear surveys result in a reduction of statistical errors, necessitating to control systematic errors more and more higher. One of those systematic results was initially studied by Hartlap et al. 2011, particularly that picture overlap with (shiny foreground) galaxies may forestall some distant (supply) galaxies to remain undetected. Since this overlap is extra likely to occur in regions of excessive foreground density - which tend to be the regions wherein the shear is largest - this detection bias would cause an underestimation of the estimated shear correlation function. This detection bias adds to the doable systematic of image mixing, [Wood Ranger Power Shears features](https://hu.velo.wiki/index.php?title=Should_You_Choose_Double-Cut_Shears_Or_Single-Cut_Shears) [Wood Ranger Power Shears website](https://wiki.la.voix.de.lanvollon.net/index.php/From_2025_By_Way_Of_2025) [electric power shears](https://merkelistan.com/index.php?title=Benutzer:TillyBachus) [Wood Ranger Power Shears manual](https://reveildakar.info/%D8%A8%D8%B9%D8%AB%D8%A9-%D8%A7%D9%84%D9%85%D8%B1%D8%A7%D9%82%D8%A8%D8%A9-%D8%A7%D9%84%D9%85%D8%B4%D8%AA%D8%B1%D9%83%D8%A9-%D9%84%D9%84%D8%A7%D8%AA%D8%AD%D8%A7%D8%AF-%D8%A7%D9%84%D8%A5%D9%81%D8%B1/) warranty the place nearby pairs or multiplets of images render shear estimates extra unsure and thus could trigger a discount of their statistical weight. Based on simulations with knowledge from the Kilo-Degree Survey, we research the conditions below which pictures are usually not detected. We discover an approximate analytic expression for the detection probability in terms of the separation and brightness ratio to the neighbouring galaxies.<br> |
