| Forthcoming large-scale galaxy surveys will observe very large cosmological volumes, thus requiring the use of precise theoretical modeling. This, paired with the advent of intensity mapping experiments, probing the high-redshift universe, will allow large-scale surveys to take over the forefront of constraining cosmological models and parameters. However, real progress requires the combination of different datasets, as there is a wealth of information in forthcoming astrophysical experiments that risks to be neglected if we don't perform the best combined data analyses we can. I will first present a precise modeling for galaxy clustering and then show examples of innovative dataset combinations to accurately measure cosmological parameters, astrophysical properties of compact objects and study the nature of dark matter. |