24 citations · 80 across the 8 of their papers we have counts for
8 papers
A New Multi-Constraint Potential Field Source Surface (PFSS) Extrapolation Model
C. Antonio, I. Chifu, R. Gafeira +1
The Potential Field Source Surface (PFSS) model is the most used approach for extrapolating the global coronal magnetic field, offering efficiency and strong performance at large s…
Machine learning in solar physics
A. Asensio Ramos, M. C. M. Cheung, I. Chifu +1
The application of machine learning in solar physics has the potential to greatly enhance our understanding of the complex processes that take place in the atmosphere of the Sun. B…
Coronal magnetic field evolution over the cycle 24
I. Chifu, B. Inhester, T. Wiegelmann
The photospheric magnetic field vector is continuously derived from measurements, while reconstruction of the three-dimensional (3D) coronal magnetic field requires modelling with…
Linking the Sun to the Heliosphere Using Composition Data and Modelling. A Test Case with a Coronal Jet
Susanna Parenti, Iulia Chifu, Giulio Del Zanna +13
Our understanding of the formation and evolution of the corona and the heliosphere is linked to our capability of properly interpreting the data from remote sensing and in-situ obs…
3D solar coronal loop reconstructions with machine learning
Iulia Chifu, Ricardo Gafeira
The magnetic field plays an essential role in the initiation and evolution of different solar phenomena in the corona. The structure and evolution of the 3D coronal magnetic field…
An Optimization Principle for Computing Stationary MHD Equilibria With Solar Wind Flow
Thomas Wiegelmann, Thomas Neukirch, Dieter H. Nickeler +1
In this work we describe a numerical optimization method for computing stationary MHD-equilibria. The newly developed code is based on a nonlinear force-free optimization principle…