Search
Change font size
Contrast versions
Language
pl
In my research, I focus on understanding the complex behavior of blazars, which are among the most energetic and variable sources in the universe. I use a combination of observational data and advanced computational techniques, such as machine learning, to classify gamma-ray blazars more accurately. My recent work involves exploring how machine learning models with innovative weight initialization and self-supervised learning can improve our ability to identify these objects.
Additionally, I investigate the optical and gamma-ray variability in blazars, with a particular interest in capturing profound flares that reveal important information about the jets emitted by these sources. My work also extends to studying ultra-high-energy photons possibly originating from blazar jets, linking their activity to some of the most energetic phenomena in astrophysics.
By analyzing long-term optical variability patterns and the nature of gamma-ray variability, I aim to shed light on the physical processes that drive these extreme changes in blazar emission.
