The national Earthquake Information Center (NEIC) reports an occurrence of about 13,000 earthquakes every year, spanning different values on the Richter scale from very mild (2) to "giant earthquakes'' (8 and above). Being able to study these earthquakes provides useful information for a wide range of applications in geophysics. In the present work we study the characteristics of an earthquake by performing seismic source inversion; a mathematical problem that, given some recorded data, produces a set of parameters that when used as input in a mathematical model for the earthquake generates synthetic data that closely resembles the measured data. There are two approaches to performing this source inversion: a deterministic and a probabilistic approach. We present an overview of both methods and implement them in order to perform different seismic source inversion experiments for recorded waveforms in one and two dimensions.
Level of Degree
Mathematics & Statistics
First Committee Member (Chair)
Second Committee Member
Third Committee Member
Seismic Source Inversion, Bayesian Inversion, Metropolis Hastings, Inverse Problems, Optimization
Madrigal Cianci, Juan Pablo. "Deterministic and Probabilistic Methods for Seismic Source Inversion." (2017). https://digitalrepository.unm.edu/math_etds/105