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MTfit: A Bayesian approach to seismic moment tensor inversion

Accepted version
Peer-reviewed

Type

Article

Change log

Authors

Pugh, DJ 
White, RS 

Abstract

MTfit is a Python module for Bayesian moment tensor source inversion of earthquake seismic data using polarities, amplitudes or amplitude ratios. It can solve for double couple or full moment tensor solutions, taking into account uncertainties in polarities, take-off angles of the rays from the source to the receiver, and amplitudes. It provides an easily accessible and extendable approach to earthquake source inversion which is particularly useful for local and regional events.

Description

Keywords

37 Earth Sciences, 3706 Geophysics

Journal Title

Seismological Research Letters

Conference Name

Journal ISSN

0895-0695
1938-2057

Volume Title

89

Publisher

Seismological Society of America (SSA)
Sponsorship
Natural Environment Research Council (NE/H025006/1)
The MTfit code was developed as part of a PhD project (Pugh 2015), funded under a Natural Environment Research Council (NERC) studentship at the University of Cambridge, as a CASE award with Schlumberger. Seismometers were borrowed from the NERC SEIS-UK (loan 842).