Postdoc goals and activities
The postdoc, based on his/her skill, will work in collaboration with the FIMOPTIC team on the Garpenberg mine site, developing some aspects among the following:
1. Design and installation of the instrumental setup (seismometers, DAS, strainmeters, BOTDR).
2. Design and implementation of data processing and data reduction pipelines adapted to the high data date of the DAS instrument.
3. Design and implementation of the event detection and data analysis chain using different approaches for microearthquake, tremor and strain transient detection, as well identification and classification of anthropic noise, e.g.: a. Antenna methods (e.g., beamforming). b. Template matching. c. Supervised machine learning (ML) for signal-noise discrimination. d. Unsupervised ML approaches based on network information.
4. Development of signal and event catalogues and kinematic source models: a. Signal classification (e.g., cross-correlation, k-nearest neighbors, DBSCAN). b. Microearthquake location, magnitude and focal mechanism. c. Tremor and aseismic slip space-time evolution using, e.g., back projection.
Concerning the Corinth site, the postdoc, based on his/her skill, will participate in some of these tasks, during the second year of contract:Finally, the postdoc, based on his/her skill, may collaborate with the engineering team of ESEO (Angers) to the development and performance improvement of a new Fabry-Pérot strainmeter. He/she may help improve the instrumental design and/or the postprocessing tools to separate the effects of temperature and strain on different fibers.
1. Contribute to the installation and operation of the optical strainmeters.
2. Oversee the qualification of their installation (identification and quantification of anthropic and environmental noise).
3. Oversee the detection, classification, and analysis of the signals related to the seismic/aseismic activity of the rift fault system origin.
This could benefit from the adaptation and use of the various software tools used for classifying the Garpenberg strain signals.