PhD candidate
Research group | Rosseland Centre for Solar Physics (RoCS)
Main supervisor | Luc Rouppe van der Voort
Co-supervisor | Carlos José Díaz Baso
Affiliation | Institute of Theoretical Astrophysics, UiO
Contact | ijpoquet@uio.no
Short bio
I studied Physics at the University of Valencia, specialising the last year in astrophysics and theoretical physics. Afterwards, I did the master's degree in Advanced Physics at the same university, choosing the astrophysics branch and focusing on supernovae and simulations, which was the subject of my thesis. Once I finished this, I worked for three months with the radio astronomy group and then for half a year in a company as a consultant. Finally, I came to Oslo to start my PhD thesis in solar physics and computational science.
Research interests and hobbies
The main interests of my research are the Solar atmosphere and the Machine Learning. My main objective is to improve the understanding of the physics behind the events in the solar atmosphere. I am an observer, so I have to work with a lot of data and process it. For this, I will use deep learning. That is why I am also very interested in all the topics related to it.
With respect my hobbies, I really like spending time with friends. I also like sports very
much, especially boxing training, and cooking. Another hobby I have is astrophotography, but I have abandoned it a bit, to be honest, since I am in Norway. I try, as well, to read as much as I can. In the future, I would like to do some science popularisation and bring science closer to young people, especially in high schools. I believe that science should be at the service of society in general and people in particular.
CompSci project
Interpretation of solar observations using Deep Learning
The main goal of my thesis is to understand the formation of small-scale events of magnetic reconnection in the solar atmosphere such as the so-called Ellerman Bombs or UV-bursts. There are several open questions regarding their physical origin and their role in the energy and mass transport from the lower to the upper solar atmosphere. To study the mentioned events, I plan to find and classify them by exploring large observational datasets. To solve this, I will apply Deep Learning techniques, to detect these events automatically. I will make use of solar observations carried out at different both ground/space based telescopes such as the Swedish 1-meter Solar Telescope on La Palma, Spain or NASA’s Interface Region Imaging Spectrograph (IRIS).
For more information, you can check the CompSci website.
Publications
CompSci publications
None yet.
Previous publications
None.
