Geoscientific Instrumentation, Methods and Data Systems
Geoscientific Instrumentation, Methods and Data Systems
GI
Articles | Volume 15, issue 2
Articles | Volume 15, issue 2
https://doi.org/10.5194/gi-15-195-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gi-15-195-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 2
Research article
 | 
06 Jul 2026
Research article |  | 06 Jul 2026

Causal and uncertainty-aware digital-twin framework for ultra–low-noise geoscientific inertial sensors

Antonino D'Alessandro

Viewed

Total article views: 1,970 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,230 522 218 1,970 225 283
  • HTML: 1,230
  • PDF: 522
  • XML: 218
  • Total: 1,970
  • BibTeX: 225
  • EndNote: 283
Views and downloads (calculated since 24 Feb 2026)
Cumulative views and downloads (calculated since 24 Feb 2026)

Viewed (geographical distribution)

Total article views: 1,970 (including HTML, PDF, and XML) Thereof 1,889 with geography defined and 81 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 20 Oct 2026
Download
Short summary
Instruments that measure extremely small ground motions are vital for monitoring earthquakes, volcanoes, and slow Earth deformation. This study presents a virtual modelling approach that predicts sensor performance before construction. By accounting for physical limits, electronic effects, and uncertainty, the method clarifies what truly limits sensitivity and how designs can be improved, supporting the development of more accurate and robust tools for Earth science.
Read more
Share