Angular power spectrum ottimizzato per survey di galassie spettroscopici: un approccio Montecarlo.

The angular power spectrum is a gauge-independent cosmological observable, which in principle represents the natural tool to analyse the galaxy number density distribution. The next generation of spectroscopic galaxy surveys, such as Euclid and the Square Kilometer Array are expected to explore the galaxy distribution in a wider redshift range than the previous surveys. This make the standard computation approaches of the angular power spectrum unfeasible. Our aim is to extend the results of the previous work [Stefano Camera et al., Optimised angular power spectrum for spectroscopic galaxy surveys, Monthly Notices of the Royal Astronomical Society, 481(1):1251¿1261, 09 2018], where a new method has been developed in order to save computational time in the calculation of spectroscopic angular power spectra. Our extension is made performing a forecasting analysis making use of Monte Carlo Markov's chains (MCMC) instead of the already employed Fisher matrix analysis. We confirm that the new proposed method gives results which are comparable with the ones obtained with the standard approach also in the case of MCMC implementation.