IATE 20350
INSTITUTO DE ASTRONOMIA TEORICA Y EXPERIMENTAL
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
Measuring the angular dependece of the cosmological parameters with machine learning techniques
Autor/es:
DE LOS RIOS, MARTÍN.; DOMÍNGUEZ, MARIANO J.
Reunión:
Otro; CMB From A to Z; 2017
Resumen:
In this work we present the first measurement of the spatial distribution of the cosmological parameters performed with Machine Learning Techniques.This approach has the advantage of reduce the cpu-time involved in the parameters estimation without losing precision. Taking into account that is very simple to add more cosmological probes within this formalism, this work is the first step to an automatic method for the estimation of the cosmological parameters using different cosmological probes.
