Student projects

MSc research projects

  • “Radiative Signatures of Baryon-loaded AGN jets”, P. Psarras (07/2022)
  • “Connecting High-Energy Neutrino Emission with Hadronic X-ray Flares in Blazars”, Stamatios I. Stathopoulos (07/2021)
    • S. I. Stathopoulos, M. Petropoulou, G. Vasilopoulos et al., “High-energy neutrinos from X-rays flares of blazars frequently observed by the Swift X-Ray Telescope”, 2021, accepted in MNRAS

Bachelor thesis projects

To request a bachelor thesis project, please fill out this form
  • “Beaming of γ-ray radiation of blazars”, O. Kefallinou (TBD)
  • “A library of temporal properties of X-ray afterglows Swift/XRT”, I. Dalamagka (TBD)
  • “Study of torque models during super-Eddington outbursts from BeXRB pulsars”, A. S. Karaferias (06/2022)
    • A. S. Karaferias, G. Vasilopoulos, M. Petropoulou et al., “Study of torque models during super-Eddington outbursts from BeXRB pulsars”, submitted to MNRAS
  • “Radio emission from colliding outflows in high-mass X-ray binaries with strongly magnetized neutron stars”, M. Chatzis (TBD), University of Crete
    • M. Chatzis, M. Petropoulou, G. Vasilopoulos, “Radio emission from colliding outflows in high-mass X-ray binaries with strongly magnetized neutron stars”, 2021, MNRAS (doi:10.1093/mnras/stab3098)
  • “Non-thermal X-ray emission from wind-wind interaction in the binary system PSR J2032+4127/MT91 213”, T. I. Stasinos (05/2022)
  • “Synchrotron radiation from electrons and protons as explanation of radio emission from large-scale jet in M84”, C. Tsioutis (10/2021)
  • “Particle acceleration in compressing plasmoids and synchrotron radiation”, D. Karavola (10/2021)
    • “Radiative signatures of adiabatically compressing plasmoids in relativistic reconnection”, poster presentation, 15th Hel.A.S. Conference, 5 – 8 July 2021, Patras (virtual)

Research projects

  • “Simulations of gamma-ray blazar spectra for CTA”, F. Zanias (Spring Semester 2022 )
    • Co-supervision: Dr. G. Vasilopoulos
  • “Computation of broaband blazar spectra with machine-learning techniques “, A. Tzavellas (Spring Semester 2022 – )
    • Co-supervision: Dr. G. Vasilopoulos

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