The Effective Field Theory of Large-Scale Structure and Multi-tracer
  We study the performance of the perturbative bias expansion when combined
with the multi-tracer technique, and their impact on the extraction of
cosmological parameters. We consider two populations of tracers of large-scale
structure and perform a series of Markov chain Monte Carlo analysis for those
two tracers separately. The constraints in $\omega_{\rm cdm}$ and $h$ using
multi-tracer are less biased and approximately $60\%$ better than those
obtained for a single tracer. The multi-tracer approach also provides stronger
constraints on the bias expansion parameters, breaking degeneracies between
them and with their error being typically half of the single-tracer case.
Finally, we studied the impacts caused in parameter extraction when including a
correlation between the stochastic field of distinct tracers.
