Measuring the Cosmological Parameters angular distribution with machine learning techniques

MARIANO DOMÍNGUEZ, J.R.; DE LOS RIOS, MARTÍN.

Rio de Janeiro

Workshop; Brazilian School of Cosmology and Gravitation. Rio de Janeiro; 2017

ICTP

In this work we present the first measurement of the spatial distribution of the cosmological parameters performed with a joined analysis of thelatest Cosmic Microwave Background (CMB) data from Planck and the supernova data of JLA.In order to treat all the data in an homogeneous way and to reduce the cpu-time involved in the parameters estimation, we developed a machinelearning algorithm that was trained with simulated data and tested comparing with the results of the standard montecarlo estimation.