G. Belanger



Main Research Fields

I did my PhD on the study of the characteristics of the high energy emission environment in the Galactic Centre in general, and from Sgr A* in particular, working with XMM and INTEGRAL data. Since then, I have worked on developing: statistically motivated methods for detecting transients in space, time, energy and frequency; more sensitive periodogram statistics for detecting weak, low frequency periodic signals, and for studying the shape of non-sinusoidal pulse profiles; and techniques for modelling red noise and characterising the properties of time-domain signals, all with a particular interest in variable X-ray and gamma-ray sources. More recently, I have turned my attention to automation, machine learning, and artifical intelligence for science operations.


  • Astrostatistics
  • Statistical methods
  • Time series analysis
  • Periodogram analysis
  • Transient analysis
  • Automation
  • Machine Learning
  • Artificial Intelligence



Project/mission at ESA