Carlos José Díaz Baso

Postdoctoral fellow - Rosseland Centre for Solar Physics

Norwegian version of this page

Email carlos.diaz@astro.uio.no

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Visiting address Sem Sælands vei 13 0371 Oslo

Postal address Postboks 1029 0315 Oslo

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Carlos José Díaz Baso is a postdoctoral research fellow at RoCS. His general areas of interest are Bayesian statistics, deep learning, and solar physics. His research focuses on understanding solar chromospheric phenomena (from quiet solar filaments to explosive events) and their magnetic origin. He plans to achieve this goal by investigating high-quality space and ground-based spectropolarimetric observations with novel deep learning and Bayesian inference techniques, and comparing them with numerical models of the solar atmosphere.

Academic interests

Solar Physics
Bayesian statistics
Deep learning

Education

2022-now Postdoctoral researcher, Rosseland Centre for Solar Physics (RoCS), Oslo, Norway
2018-2022 Postdoctoral researcher, Institute for solar physics (ISP), Stockholm, Sweden
2014-2018 Ph.D. in Astrophysics, Universidad de La Laguna (ULL), Spain

Tags: Solar Chromosphere, Radiative processes, deep learning, plasma physics, Solar Physics

Pietrow, A.G.M.; Kiselman, D.; Andriienko, O.; Petit dit de la Roche, D. J. M.; Díaz Baso, Carlos José & Calvo, F. (2023). Center-to-limb variation of spectral lines and continua observed with SST/CRISP and SST/CHROMIS. Astronomy and Astrophysics (A & A). ISSN 0004-6361. 671. doi: 10.1051/0004-6361/202244811. Full text in Research Archive
Díaz Baso, Carlos José; Rouppe van der Voort, Luc; de la Cruz Rodriguez, Jaime & Leenaarts, Jorrit (2023). Designing wavelength sampling for Fabry–Pérot observations: Information-based spectral sampling. Astronomy and Astrophysics (A & A). ISSN 0004-6361. 673. doi: 10.1051/0004-6361/202346230. Full text in Research Archive

View all works in Cristin

Soler Poquet, Ignasi Josep; van der Voort, Luc H.M. Rouppe & Díaz Baso, Carlos José (2023). Interpretación de observaciones solares usando redes neuronales.
Soler Poquet, Ignasi Josep; van der Voort, Luc H.M. Rouppe & Díaz Baso, Carlos José (2023). Interpretation of Solar Observations with Deep Learning.
Díaz Baso, Carlos José (2023). Deep Learning 2.0: Combining physics-based models with data-driven solutions.
Díaz Baso, Carlos José (2023). Deep Learning 2.0: Combining physics-based models with data-driven solutions.
Díaz Baso, Carlos José (2023). Differentiable programming for spectra modeling and inference.
Díaz Baso, Carlos José (2023). Unleashing the Potential of Machine Learning for Efficient Analysis of Solar Observations.
Díaz Baso, Carlos José (2022). Webinar Lead Talk - Inteligencia artificial al servicio de la física solar.
Díaz Baso, Carlos José (2022). Unlocking the potential of deep learning for the analysis of spectropolarimetric observations.