November 12 - 18, 2017 — IESC,
The CMB from A to Z
challenges of the CMB as a cosmological probe
CosmoML: A Machine Learning method to measure the cosmological parameters
Martın de los Rios
Universidad Nacional de Cordoba
this talk we will present CosmoML, a machine learning algorithm that
estimate the cosmological parameters using the cosmic microwave
This algorithm was trained using 5000 simulated power spectra of
different cosmological models.It has the advantage of been faster than
traditional Monte Carlo methods without loosing precision.
As a first application we also present a measurement of the angular
distribution of the cosmological parameters performed with the latest
CMB data from Planck.