Carlos J. Díaz Baso

Carlos J. Díaz Baso

Postdoct in Solar Physics

Oslo University, RoCS

About Me

Hello, and welcome! I am a Postdoctoral researcher scientist working in the Rosseland Centre for Solar Physics at Oslo University.

My general areas of interest are Bayesian statistics, Deep Learning and Solar Physics. My research focuses on understanding solar phenomena and their origin through the analysis of spectropolarimetric observations. Thanks for stopping by!

News

  • [March 27, 2023] Accepted paper: Designing wavelength sampling for Fabry-Pérot observations. Information-based spectral sampling [arXiv] [project].
  • [March 22, 2022] Accepted paper: Bayesian Stokes inversion with Normalizing flows [arXiv] [project].
  • [Feb 08, 2021] Accepted paper: An observationally-constrained model of strong magnetic reconnection in the solar chromosphere [arXiv] [project].
  • [Aug 7, 2019] Accepted paper: Solar image denoising with convolutional neural networks [arXiv] [project].
  • [May 20, 2019] Accepted paper: Stokes inversion based on convolutional neural networks [arXiv] [project].

Publications

Designing wavelength sampling for Fabry-Pérot observations. Information-based spectral sampling

Fabry-Pérot interferometers (FPIs) have become very popular in solar observations because they offer a balance between cadence, spatial …
Carlos J. Díaz Baso, L. Rouppe van der Voort, J. de la Cruz Rodríguez, J. Leenaarts
PDF ArXiv
Designing wavelength sampling for Fabry-Pérot observations. Information-based spectral sampling

Bayesian Stokes inversion with Normalizing flows

Stokes inversion techniques are very powerful methods for obtaining information on the thermodynamic and magnetic properties of solar …
Carlos J. Díaz Baso, A. Asensio Ramos, J. de la Cruz Rodríguez
PDF Code Slides Poster ArXiv
Bayesian Stokes inversion with Normalizing flows

An observationally-constrained model of strong magnetic reconnection in the solar chromosphere

The evolution of the photospheric magnetic field plays a key role in the energy transport into the chromosphere and the corona. In …
Carlos J. Díaz Baso, J. de la Cruz Rodríguez, J. Leenaarts
PDF Poster Slides Poster-Audio Journal ArXiv
An observationally-constrained model of strong magnetic reconnection in the solar chromosphere

Solar image denoising with convolutional neural networks

The topology and dynamics of the solar chromosphere are greatly affected by the presence of magnetic fields. The magnetic field can be …
Carlos J. Díaz Baso, J. de la Cruz Rodríguez, S. Danilovic
PDF Code Journal ArXiv
Solar image denoising with convolutional neural networks

Stokes Inversion based on Convolutional Neural Networks

Spectropolarimetric inversions are routinely used in the field of Solar Physics for the extraction of physical information from …
A. Asensio Ramos, Carlos J. Díaz Baso
PDF Journal ArXiv
Stokes Inversion based on Convolutional Neural Networks

Recent Talks

Slides:

  • The Potential of Machine Learning for Efficient Analysis of Solar Observations and simulations, ITA Colloquium 2023, Oslo, Norway, March 17, 2023 - Link
  • Differentiable programming for spectra modeling and inference, RoCMI 2023, Longyearbyen, Svalbard, February 26 - March 2, 2023 - Link
  • Unleashing the Potential of Machine Learning for Efficient Analysis of Solar Observations, Universitat de les Illes Balears, Spain, February 17, 2023 - Link
  • Application of machine learning and neural networks to data processing in solar physics, Solar Space Plasma seminar, National Astronomy Observatory of Japan, Tokyo, Japan, December 2, 2022 - Link
  • Unlocking the potential of deep learning for the analysis of spectropolarimetric observations, Solar Polarization Workshop 10 (SPW10), Kyoto, Japan, November 7-11, 2022 - Link
  • Application of machine learning and neural networks to data processing, Hinode-15 / IRIS-12, Czech Republic, Prague, September 19-23, 2022 - Link

Videos:

  • Stockholm University Seminar - 2021/10/15 - Link
  • HAO Colloquium - 2020/10/07 - Link

Thesis

Ph.D. Thesis: Analysis of the magnetic and dynamic structure of solar filaments, September 2018 [26.6MB]. Download

M.Sc. Thesis: Inversion techniques and their application to spectropolarimetric data of the solar photosphere and chromosphere, June 2015 [3.3MB]. Download

Fellowship Thesis: Inversion of spectropolarimetric data, June 2014 [1.8MB]. Download

B.Sc. Thesis: Introduction to solar spectropolarimetric data, June 2013 [1.8MB]. Download

Experience

 
 
 
 
 

Postdoctoral researcher

Rosseland Centre for Solar Physics, RoCS

Oct 2022 – Present Oslo, Norway
 
 
 
 
 

Postdoctoral researcher

Institute for solar physics, ISP

Oct 2018 – Sep 2022 Stockholm, Sweden
 
 
 
 
 

PhD in Astrophysics

Universidad de La Laguna

Oct 2014 – Sep 2018 Tenerife, Spain
 
 
 
 
 

Master in Astrophysics

Universidad de La Laguna

Oct 2013 – Jun 2015 Tenerife, Spain
 
 
 
 
 

Degree in Physics

Universidad de La Laguna

Jun 2013 – Sep 2009 Tenerife, Spain

Contact

  • carloskdb@gmail.com | carlos.diaz@astro.uio.no