Wee-g: a wideband Micro-Electro-Mechanical-Sensor for applications in Gravity Surveying and Gravitational Wave Astronomy
Lead Research Organisation:
University of Glasgow
Department Name: School of Physics and Astronomy
Abstract
This project will focus on analysing the data from an array of Wee-g MEMS gravimeters. Wee-g is highly novel and the world's first MEMS gravimeter (R.P. Middlemiss et al., Nature 531, 2016) which was able to show sufficient sensitivity and stability to monitor the Earth tides: elastic deformations in the Earth due to the tidal potential of the Moon and the Sun. Since then, the team have been working on commercialising the technology and developing a field prototype, engaging with industries in the areas of oil & mineral prospecting, environmental monitoring and defence & security. The device is fabricated in partnership with Glasgow spin-out Kelvin Nanotechnology (KNT), within the James Watt Nanofabrication Centre, and utilises an FPGA readout to monitor both the device and tilt/temperature environmental channels. This system is undergoing field trials in 2021, with the aim to deploy 20 units onto the side of Mt Etna in 2021/22, for the world's first gravity imaging array on a volcano.
Analysing data from arrays of gravimeters has never been done before, so our methodology will be to undertake side-side field trials with our industry partner Bridgeporth (http://www.bridgeporth.com/ ), where data from their single device can be compared to multiple MEMS "pixels". We will deploy multiple MEMS sensors over a region and optimise the array for spatial and time-lapse surveys, to image underlying gravity anomalies, take data at a higher rate to extract seismic background noise more efficiently, and applying wavelet analysis to notch out seismic noise. We will harness Institute for Gravitational research expertise in Bayesian inference & machine learning to identify and learn; instrumental drift via switching instrument location, temperature sensitivity, and sensitivity to external seismic noise, to optimise the data returned. A further innovative opportunity is installation of devices in the STFC Boulby facility and LIGO sites to study long term seismic and gravity changes
Analysing data from arrays of gravimeters has never been done before, so our methodology will be to undertake side-side field trials with our industry partner Bridgeporth (http://www.bridgeporth.com/ ), where data from their single device can be compared to multiple MEMS "pixels". We will deploy multiple MEMS sensors over a region and optimise the array for spatial and time-lapse surveys, to image underlying gravity anomalies, take data at a higher rate to extract seismic background noise more efficiently, and applying wavelet analysis to notch out seismic noise. We will harness Institute for Gravitational research expertise in Bayesian inference & machine learning to identify and learn; instrumental drift via switching instrument location, temperature sensitivity, and sensitivity to external seismic noise, to optimise the data returned. A further innovative opportunity is installation of devices in the STFC Boulby facility and LIGO sites to study long term seismic and gravity changes
Organisations
People |
ORCID iD |
Giles Hammond (Primary Supervisor) | |
Henrietta Rakoczi (Student) |
Studentship Projects
Project Reference | Relationship | Related To | Start | End | Student Name |
---|---|---|---|---|---|
ST/V005499/1 | 30/09/2021 | 29/09/2025 | |||
2604937 | Studentship | ST/V005499/1 | 30/09/2021 | 30/03/2025 | Henrietta Rakoczi |