Mancini, AS;
Piras, D;
Ferreira, AMG;
Hobson, MP;
Joachimi, B;
(2021)
Accelerating Bayesian microseismic event location with deep learning.
Solid Earth
, 12
pp. 1683-1705.
10.5194/se-12-1683-2021.
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| Type: | Article |
|---|---|
| Title: | Accelerating Bayesian microseismic event location with deep learning |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.5194/se-12-1683-2021 |
| Publisher version: | https://doi.org/10.5194/se-12-1683-2021 |
| Language: | English |
| Additional information: | © Author(s) 2021. This work is distributed under the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/). |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Physics and Astronomy UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Space and Climate Physics |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10112519 |
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