Active Galactic Nuclei (AGN) are among the universe's most energetic phenomena, powered by accreting supermassive black holes at the centers of galaxies. My research aims to unravel the complex emission processes in AGN, combining multiwavelength data across the electromagnetic spectrum and multimessenger signals such as neutrinos.
Key Areas of Research:
1. Analyze and model AGN emissions from infrared (IR) to gamma rays to uncover the physical mechanisms powering jets.
2. Investigate both short- and long-term variability in AGN to understand the origins of jet activity and flares.
3. Correlate variability across different wavelengths to refine models of jet dynamics and particle acceleration.
4. Develop and apply numerical codes to model AGN emissions, integrating different physical processes.
5. Model SEDs to gain insights into particle acceleration and radiation mechanisms in AGN environments.
The rapid advancements in artificial intelligence (AI) and machine learning (ML) are revolutionizing astrophysical research, offering innovative tools to tackle complex challenges in data analysis, modeling, and interpretation. My work focuses on leveraging AI techniques to address key problems in high-energy astrophysics, particularly in the study of active galactic nuclei (AGN) and multimessenger data.
Key Applications:
1. Use AI models to classify astrophysical sources using data from multiwavelength and multimessenger observations.
2. Employ machine learning techniques to estimate and analyze key features of AGNs using multiwavelength datasets.
3. Develop AI-driven predictive models to forecast AGN activity, including flares and variability, through time-series data analysis.
4. Use machine learning algorithms for the automated fitting of SEDs, significantly enhancing efficiency and accuracy in modeling.
5. Integrate observational data with AI-driven parameter estimation to optimize theoretical models for AGN emission processes.
6. Develop specialized Large Language Model (astroLLM) tailored for astrophysics, to assist researchers in data analysis, theoretical modeling, and educational applications.
Gamma-ray astronomy explores the most energetic phenomena occuring in the Universe. Very high energy (VHE) gamma rays (>100 GeV) are detected using Cherenkov telescopes, which observe the secondary particle showers produced when gamma rays interact with the atmosphere of Earth. I am a member of the MAGIC (Major Atmospheric Gamma Imaging Cherenkov) Collaboration, which operates two advanced Cherenkov telescopes at the Roque de los Muchachos Observatory on the Canary Island of La Palma. These telescopes are designed to detect VHE gamma rays, enabling detailed studies of extreme astrophysical sources such as active galactic nuclei, gamma-ray bursts, pulsars, supernova remnants, etc.