76 citations · 213 across the 8 of their papers we have counts for
8 papers
Identifying preflare spectral features using explainable artificial intelligence
Brandon Panos, Lucia Kleint, Jonas Zbinden
The prediction of solar flares is of practical and scientific interest; however, many machine learning methods used for this prediction task do not provide the physical explanation…
Occurrence and Statistics of IRIS Bursts
Lucia Kleint, Brandon Panos
Small reconnection events in the lower solar atmosphere can lead to its heating, but whether such heating can propagate into higher atmospheric layers and potentially contribute to…
Exploring mutual information between IRIS spectral lines. II. Calculating the most probable response in all spectral windows
Brandon Panos, Lucia Kleint
A three-dimensional picture of the solar atmosphere's thermodynamics can be obtained by jointly analyzing multiple spectral lines that span many formation heights. In paper I, we f…
Exploring mutual information between IRIS spectral lines. I. Correlations between spectral lines during solar flares and within the quiet Sun
Brandon Panos, Lucia Kleint, Sviatoslav Voloshynovskiy
Spectral lines allow us to probe the thermodynamics of the solar atmosphere, but the shape of a single spectral line may be similar for different thermodynamic solutions. Multiline…
A comparison of the active region upflow and core properties using simultaneous spectroscopic observations from IRIS and Hinode
Krzysztof Barczynski, Louise Harra, Lucia Kleint +2
The origin of the slow solar wind is still an open issue. It has been suggested that upflows at the edge of active regions (AR) can contribute to the slow solar wind. Here, we comp…
Solar activity classification based on Mg II spectra: towards classification on compressed data
Sergey Ivanov, Maksym Tsizh, Denis Ullmann +2
Although large volumes of solar data are available for study, the vast majority of these data remain unlabeled and are therefore not amenable to supervised machine learning methods…
Real-time flare prediction based on distinctions between flaring and non-flaring active region spectra
Brandon Panos, Lucia Kleint
With machine learning entering into the awareness of the heliophysics community, solar flare prediction has become a topic of increased interest. Although machine learning models h…
Identifying typical Mg II flare spectra using machine learning
B. Panos, L. Kleint, C. Huwyler +4
IRIS performs solar observations over a large range of atmospheric heights, including the chromosphere where the majority of flare energy is dissipated. The strong Mg II h&k spectr…