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This work presents the application of a new tool, Obiwan , which uses imagesimulations to determine the selection function of a galaxy redshift survey andcalculate 3-dimensional (3D) clustering statistics. This is a forward model ofthe process by which images of the night sky are transformed into a 3Dlarge--scale structure catalog. The photometric pipeline automatically detectsand models galaxies and then generates a catalog of such galaxies with detailedinformation for each one of them, including their location, redshift and so on.Systematic biases in the imaging data are therefore imparted into the catalogsand must be accounted for in any scientific analysis of their informationcontent.  Obiwan simulates this process for samples selected from the Legacy Surveysimaging data. This imaging data will be used to select target samples for thenext-generation Dark Energy Spectroscopic Instrument (DESI) experiment. Here,we apply Obiwan to a portion of the SDSS-IV extend Baryon OscillationSpectroscopic Survey Emission Line Galaxies (ELG) sample. Systematic biases inthe data are clearly identified and removed. We compare the 3D clusteringresults to those obtained by the map--based approach applied to the full eBOSSsample. We find the results are consistent, thereby validating the eBOSS ELGcatalogs, presented in Raichoor(2020), used to obtain cosmological results.

monthly notices of the royal astronomical society

Removing Imaging Systematics from Galaxy Clustering Measurements with  Obiwan : Application to the SDSS-IV extended Baryon Oscillation Spectroscopic  Survey Emission Line Galaxy Sample