- 1University of Ferrara, Physics and Earth Sciences Department, Ferrara, Italy (strati@fe.infn.it)
- 2INFN, Ferrara Section, Ferrara, Italy
- 3Politecnico di Milano, Milan, Italy
- 4National Institute of Geophysics and Volcanology (INGV), Rome, Italy
- 5Geomatics Research & Development s.r.l., Lomazzo (CO), Italy
- 6Department of Physical Sciences, Earth and Environment and Centre of Geotechnologies (CGT), University of Siena, San Giovanni Valdarno (AR), Italy
- 7University of Trento - National PhD Program in Space Science and Technology, Trento, Italy
Geoneutrinos, electron antineutrinos produced by the radioactive decay of Uranium (U) and Thorium (Th), offer a unique real-time window into the Earth’s interior composition and radiogenic heat budget. These particles are detected by large-volume underground scintillators where cosmic ray backgrounds are minimized. However, the lack of directional sensitivity in current liquid scintillator detectors, such as Borexino (Gran Sasso massif, Italy), results in a signal degeneracy that necessitates highly accurate models of the local lithosphere to isolate the mantle contribution.
In the framework of the GUESS project (GeoneUtrinos: mESSengers of the Earth's interior), we present a high-resolution 3D geophysical model of Central Italy specifically tailored for geoneutrino signal prediction. Addressing the limitations of previous models, this work adopts a joint multi-disciplinary approach.
The "GUESS model" is computed inverting ground gravity data integrating heterogeneous datasets as prior information in a Bayesian framework. The geological and geophysical prior datasets include: 1D stratigraphic data from deep exploration wells; 2D interpreted seismic profiles and geological cross-sections; 3D passive seismic data (receiver functions) to constrain the Moho discontinuity. This probabilistic framework discretizes the crust into six lithological units, from Quaternary volcanics to the Lower Crust, and explores high-dimensional solution spaces in terms of both geometry and density distribution via simulated annealing. This methodology not only optimizes mass and volume estimates according to both gravity and geophysical data but also provides a quantification of estimation uncertainties by Monte Carlo samples. This workflow demonstrates how the integration of potential field data with seismic and geological constraints provides a robust, geodynamically realistic architecture, advancing both neutrino geoscience and our understanding of complex lithospheric structures.
This study was supported by the project GUESS (GeoneUtrinos: mESSengers of the Earth's interior) funded by European Union – NextGenerationEU, Missione 4, Componente 1(CUP: F53D23001280006).
How to cite: Strati, V., Rossi, L., Albertella, A., Buttinelli, M., Capponi, M., Conti, P., Ermini, A., Maesano, F. E., Maffucci, R., Mantovani, F., Pagano, L., Ramouz, S., Raptis, K. G. C., Reguzzoni, M., Salvini, R., Sampietro, D., Solemani Dinani, P., and Tiberti, M. M.: GUESS: a 3D crustal model of Central Italy for geoneutrino physics, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-9653, https://doi.org/10.5194/egusphere-egu26-9653, 2026.