We combine the galform semi-analytical model of galaxy formation , which predicts the star formation and merger histories of galaxies , the grasil spectro-photometric code , which calculates the spectral energy distributions ( SEDs ) of galaxies self-consistently including reprocessing of radiation by dust , and artificial neural networks ( ANN ) , to investigate the clustering properties of galaxies selected by their emission at submillimetre wavelengths ( SMGs ) .
We use the Millennium Simulation to predict the spatial and angular distribution of SMGs .
At redshift z = 2 , we find that these galaxies are strongly clustered , with a comoving correlation length of r _ { 0 } = 5.6 \pm 0.9 h ^ { -1 } Mpc for galaxies with 850 \mu { m } flux densities brighter than 5 mJy , in agreement with observations .
We predict that at higher redshifts these galaxies trace denser and increasingly rarer regions of the universe .
We present the predicted dependence of the clustering on luminosity , submillimetre colour , halo and total stellar masses .
Interestingly , we predict tight relations between correlation length and halo and stellar masses , independent of sub-mm luminosity .