Christophe Zaroli

Teaching @ EOST:

• Mathematics & computer science (applied to geophysics).

Research @ ITES:

• Seismology / Seismic tomography 
• Development of new methods (SOLA–Backus–Gilbert tomography).
• Seismic imaging of the Earth's interior at various scales 

My research —recent years:

• I have introduced and adapted the SOLA method to solve tomographic problems*  (Zaroli, 2016, 2019; Zaroli et al. 2017), and named it: SOLA tomography :-)
   
• The SOLA method (Subtractive Optimally Localized Averages; Pijpers & Thompson, 1992) is a variant of Backus & Gilbert's inverse theory (Backus & Gilbert, 1967, '68, '70).
   
• *Problems must be linear(-izable), but can be of large scale —and the model space can be treated using either a discrete (Zaroli 2016) or a continuous (Zaroli 2019) formalism.

Some advantages of SOLA tomography:

• Models are accompanied with information on their resolution and uncertainty.
• Direct control on resolution/uncertainty.
• No a priori constraints on model parameters (but on model resolution).
• Models can be free of averaging-bias effects, and fit the data.
• Data-kernels can be fully exploited (if no model space discretization).
• Natural framework for tomographic-geodynamic comparisons.
• Development of dVp and dVs models at comparable resolution (to infer R=dVs/dVp).
• Development of dVsh and dVsv models at comparable resolution (to infer anisotropy).
• And more...!