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We present the measurements of the small-scale clustering for the emissionline galaxy (ELG) sample from the extended Baryon Oscillation SpectroscopicSurvey (eBOSS) in the Sloan Digital Sky Survey IV (SDSS-IV). We use conditionalabundance matching method to interpret the clustering measurements from$0.34h^{-1}\textrm{Mpc}$ to $70h^{-1}\textrm{Mpc}$. In order to account for thecorrelation between properties of emission line galaxies and their environment,we add a secondary connection between star formation rate of ELGs and haloaccretion rate. Three parameters are introduced to model the ELG [OII]luminosity and to mimic the target selection of eBOSS ELGs. The parameters inour models are optimized using Markov Chain Monte Carlo (MCMC) method. We findthat by conditionally matching star formation rate of galaxies and the haloaccretion rate, we are able to reproduce the eBOSS ELG small scale clusteringwithin 1$\sigma$ error level. Our best fit model shows that the eBOSS ELGsample only consists of $\sim 12\%$ of all star-forming galaxies, and thesatellite fraction of eBOSS ELG sample is 19.3\%. We show that the effect ofassembly bias is $\sim20\%$ on the two-point correlation function and $\sim5\%$on the void probability function at scale of $r\sim 20 h^{-1}\rm Mpc$.

Abundance matching analysis of the emission line galaxy sample in the extended Baryon Oscillation Spectroscopic Survey