Monday

Emission line galaxies (ELGs) are used in several ongoing and upcoming surveys (SDSS-IV/eBOSS, DESI, Euclid) as tracers of the dark matter distribution. Using two state-of-the-art galaxy formation models, we explore the large scale environment of [OII] emitters, which dominate optical ELG selections at z~1. Model [OII] emitters at 0.5z1.5 are selected to mimic the DEEP2, VVDS, eBOSS and DESI surveys. The mean halo occupation distribution for model central [OII] emitters can be described as the sum of an asymmetric Gaussian for disks and a step function for spheroids, which plateaus below unity. This is far away from the canonical step function assumed for mass selected samples. The different halo occupation distribution brings us to explore the large scale environment of [OII] emitters, in order to better bridge these galaxies with future cosmological analyses. For this purpose we classify the cosmic web into Voids, Sheets, Filaments and Knots using two algorithms. We use Vweb, a velocity-shear-tensor algorithm with a 0.1 threshold, and also Pweb, a tidal-tensor algorithm with a 0.01 threshold. The results from using both algorithms are consistent. The distribution of ELGs in the cosmic web is closer to that of samples with the same number density based on a star formation rate cut. Nevertheless, model ELGs are about 5\% more present in Sheets and thus, tracing better regions with lower densities.