Our research
We focus our efforts on creating and applying new methods for 3D modeling and data processing, mostly for gravimetry and magnetometry.
Magnetic microscopy
The magnetization locked in minerals at the time of their formation is a gateway to the Earth’s distant past. So far, researchers have only been able to make bulk measurements from each sample. Magnetic microscopy technology is now allowing us to distinguish the magnetic fields of the individual minerals that make up the rock sample. Our group is working with experts in paleomagnetism to develop new methods that are capable of unlocking the huge potential of these new data.
Our work on this theme:
Antarctic geothermal heat flow
Heat flow from the Earth’s interior is an important parameter for how ice sheets flow and how the Earth’s crust rebounds upwards once ice mass is displaced, influencing sea-level rise. Magnetic anomaly data is one of the few ways we have to determine heat flow. Our group is working to improve the way airborne and satellite magnetic data are merged and modelled to produce heat flow estimates.
Our work on this theme:
Machine learning & data processing
It’s undeniable that a machine learning frenzy has taken over the world. Geoscientists have been doing similar things for decades, for example the equivalent sources technique in gravity and magnetics is basically a supervised-learning method. Given the many similarities, we are applying and adapting machine learning techniques and best-practices to geophysical problems.
Our work on this theme:
Geophysical inversion and imaging
Our ultimate goal as geophysicists is to understand the inner structure and dynamics of the Earth from surface observations. This is a tough mathematical and computational problem: an ill-posed inverse problem, to which a solution might not exist or be non-unique and unstable. We develop methods to overcome these challenges and solve different kinds of inverse problems that arise in geophysics.
Our work on this theme:
Forward modeling
A key component for solving an inverse problem is first solve the forward problem (predicting observed data from a known model of the subsurface). One of our main research themes is the development methods for forward modeling gravitational fields caused by a tesseroid (a segment of a sphere). This is a surprisingly difficult task but is crucial to model geology at continental and global scales.
