RT info:eu-repo/semantics/bachelorThesis
T1 Machine learning and deep learning in solar physics
A1 Zurita Martel, Yazmina
K1 Machine Learning
K1 Deep Learning
K1 Solar
AB There exists a growing interest in the application of Machine Learning methods to Astrophysics,as they have proven to be very useful in the past. Following this line of work and motivatedby a reduction in computation time, we explored the use of an artificial neural network (ANN)in the synthesis of Stokes profiles through the direct mapping of solar atmosphere magnitudesand profiles. First, some basic concepts regarding Machine Learning and the problem at handare presented, followed by a complete description of the ANN training process. Finally, a Stokesprofile inversion (which requires a great number of synthesis) is carried out using an optimizationalgorithm to recover the solar atmosphere magnitudes.
YR 2020
FD 2020
LK http://riull.ull.es/xmlui/handle/915/20669
UL http://riull.ull.es/xmlui/handle/915/20669
LA es
DS Repositorio institucional de la Universidad de La Laguna
RD 18-nov-2024