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<br>Increasingly giant areas in cosmic shear surveys lead to a reduction of statistical errors, necessitating to regulate systematic errors increasingly better. One of those systematic effects was initially studied by Hartlap et al. 2011, [Wood Ranger Power Shears official site](http://ttceducation.co.kr/bbs/board.php?bo_table=free&wr_id=2897462) specifically that picture overlap with (bright foreground) galaxies could forestall some distant (source) galaxies to stay undetected. Since this overlap is more likely to happen in regions of high foreground density - which tend to be the regions through which the shear is largest - this detection bias would cause an underestimation of the estimated shear correlation perform. This detection bias provides to the doable systematic of image blending, [Wood Ranger Power Shears official site](https://iti.vnu.edu.vn/mediawiki/index.php?title=Th%C3%A0nh_vi%C3%AAn:Kenny02043964870) the place nearby pairs or multiplets of photos 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 examine the conditions beneath which pictures should not detected. We discover an approximate analytic expression for the detection likelihood when it comes to the separation and brightness ratio to the neighbouring galaxies.<br> |
