@article{bibbyetal2005,
author = {Bibby, H M and Caldwell, T G and Brown, C},
doi = {10.1111/j.1365-246x.2005.02779.x},
file = {:M$\backslash$:/references/Bibby et al 2005 GJI Phase Tensor.pdf:pdf},
journal = {Geophysical Journal International},
number = {3},
pages = {915--930},
publisher = {Blackwell Publishing Ltd Oxford, UK},
title = {{Determinable and non-determinable parameters of galvanic distortion in magnetotellurics}},
volume = {163},
year = {2005}
}
@inproceedings{bostick1977,
author = {Bostick, F},
booktitle = {Workshop on electrical methods in geothermal exploration, U.S. Geological Survey, Contract No 14080001-8-359},
file = {:C$\backslash$:/Users/u64125/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Bostick - 1977 - A simple almost exact method of MT analysis.pdf:pdf},
title = {{A simple almost exact method of MT analysis}},
url = {http://www.complete-mt-solutions.com/mtnet/papers/ClassicPapers/Bostick_1977.pdf},
year = {1977}
}
@article{caldwelletal2004,
abstract = {The phase relationships contained in the magnetotelluric (MT) impedance tensor are shown to be a second-rank tensor. This tensor expresses how the phase relationships change with polarization in the general case where the conductivity structure is 3-D. Where galvanic effects produced by heterogeneities in near-surface conductivity distort the regional MT response the phase tensor preserves the regional phase information. Calculation of the phase tensor requires no assumption about the dimensionality of the underlying conductivity distribution and is applicable where both the heterogeneity and regional structure are 3-D. For 1-D regional conductivity structures, the phase tensor is characterized by a single coordinate invariant phase equal to the 1-D impedance tensor phase. If the regional conductivity structure is 2-D, the phase tensor is symmetric with one of its principal axes aligned parallel to the strike axis of the regional structure. In the 2-D case, the principal values (coordinate invariants) of the phase tensor are the transverse electric and magnetic polarization phases. The orientation of the phase tensor's principal axes can be determined directly from the impedance tensor components in both 2-D and 3-D situations. In the 3-D case, the phase tensor is non-symmetric and has a third coordinate invariant that is a distortion-free measure of the asymmetry of the regional MT response. The phase tensor can be depicted graphically as an ellipse, the major and minor axes representing the principal axes of the tensor. 3-D model studies show that the orientations of the phase tensor principal axes reflect lateral variations (gradients) in the underlying regional conductivity structure. Maps of the phase tensor ellipses provide a method of visualizing this variation.},
author = {Caldwell, T. Grant and Bibby, Hugh M. and Brown, Colin},
doi = {10.1111/j.1365-246X.2004.02281.x},
file = {:C$\backslash$:/Users/u64125/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Caldwell, Bibby, Brown - 2004 - The magnetotelluric phase tensor.pdf:pdf},
isbn = {0956-540X},
issn = {0956540X},
journal = {Geophysical Journal International},
keywords = {Electromagnetic methods,Galvanic distortion,Magnetotellurics},
title = {{The magnetotelluric phase tensor}},
year = {2004}
}
@article{chavethomson2004,
author = {Chave, Alan D. and Thomson, David J.},
doi = {10.1111/j.1365-246X.2004.02203.x},
file = {:C$\backslash$:/Users/u64125/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Chave, Thomson - 2004 - Bounded influence magnetotelluric response function estimation.pdf:pdf},
issn = {0956540X},
journal = {Geophysical Journal International},
month = {jun},
number = {3},
pages = {988--1006},
publisher = {Oxford University Press},
title = {{Bounded influence magnetotelluric response function estimation}},
url = {https://academic.oup.com/gji/article-lookup/doi/10.1111/j.1365-246X.2004.02203.x},
volume = {157},
year = {2004}
}
@article{chaveetal1987,
author = {Chave, Alan D. and Thomson, David J. and Ander, Mark E.},
doi = {10.1029/JB092iB01p00633},
file = {:C$\backslash$:/Users/u64125/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Chave, Thomson, Ander - 1987 - On the robust estimation of power spectra, coherences, and transfer functions.pdf:pdf},
issn = {0148-0227},
journal = {Journal of Geophysical Research},
month = {jan},
number = {B1},
pages = {633},
publisher = {John Wiley {\&} Sons, Ltd},
title = {{On the robust estimation of power spectra, coherences, and transfer functions}},
url = {http://doi.wiley.com/10.1029/JB092iB01p00633},
volume = {92},
year = {1987}
}
@article{constableetal1987,
author = {Constable, S. C. and Parker, R. L. and Constable, C. G.},
file = {:C$\backslash$:/Users/u64125/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Constable, Parker, Constable - 1987 - Occam's inversion –– A practical algorithm for generating smooth models from electromagnetic sound.pdf:pdf},
journal = {Geophysics},
number = {3},
pages = {289--300},
title = {{Occam's inversion –– A practical algorithm for generating smooth models from electromagnetic sounding data}},
url = {http://marineemlab.ucsd.edu/Projects/Occam/1DCSEM/},
volume = {52},
year = {1987}
}
@article{degroothedlin1990,
abstract = {Magnetotelluric (MT) data are inverted for smooth 2-D models using an extension of the existing 1-D algorithm, Occam's inversion. Since an MT data set consists of a finite number of imprecise data, an infinity of solutions to the inverse problem exists. Fitting field or synthetic electromagnetic data as closely as possible results in theoretical models with a maximum amount of roughness, or structure. However, by relaxing the misfit criterion only a small amount, models which are maximally smooth may be generated. Smooth models are less likely to result in overinterpretation of the data and reflect the true resolving power of the MT method. The models are composed of a large number of rectangular prisms, each having a constant conductivity. Apriori information, in the form of boundary locations only or both boundary locations and conductivity, may be included, providing a powerful tool for improving the resolving power of the data. Joint inversion of TE and TM synthetic data generated from known models al...},
author = {DeGroot‐Hedlin, C. and Constable, S.},
doi = {10.1190/1.1442813},
issn = {0016-8033},
journal = {GEOPHYSICS},
month = {dec},
number = {12},
pages = {1613--1624},
publisher = {Society of Exploration Geophysicists},
title = {{Occam's inversion to generate smooth, two‐dimensional models from magnetotelluric data}},
url = {http://library.seg.org/doi/10.1190/1.1442813},
volume = {55},
year = {1990}
}
@article{egbertkelbert2012,
abstract = {The Jacobian of the non-linear mapping from model parameters to observations is a key component in all gradient-based inversion methods, including variants on Gauss–Newton and non-linear conjugate gradients. Here, we develop a general mathematical framework for Jacobian computations arising in electromagnetic (EM) geophysical inverse problems. Our analysis, which is based on the discrete formulation of the forward problem, divides computations into components (data functionals, forward and adjoint solvers, model parameter mappings), and clarifies dependencies among these elements within realistic numerical inversion codes. To be concrete, we focus much of the specific discussion on 2-D and 3-D magnetotelluric (MT) inverse problems, but our analysis is applicable to a wide range of active and passive source EM methods. The general theory developed here provides the basis for development of a modular system of computer codes for inversion of EM geophysical data, which we summarize at the end of the paper.},
author = {Egbert, Gary D. and Kelbert, Anna},
doi = {10.1111/j.1365-246X.2011.05347.x},
file = {:C$\backslash$:/Users/u64125/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Egbert, Kelbert - 2012 - Computational recipes for electromagnetic inverse problems.pdf:pdf},
isbn = {0956-540X},
issn = {0956540X},
journal = {Geophysical Journal International},
keywords = {Geomagnetic induction,Inverse theory,Magnetotelluric,Numerical solutions},
title = {{Computational recipes for electromagnetic inverse problems}},
year = {2012}
}
@article{jones1983,
author = {Jones, Alan G},
file = {:C$\backslash$:/Users/u64125/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Jones - 1983 - On the Equivalence of the {\&}quotNiblett{\&}quot and {\&}quotBostick{\&}quot Transformations in the Magnetotelluric Method.pdf:pdf},
journal = {Journal of Geophysics},
keywords = {Bostick transformation-,Magnetotelluric method,Niblett transfor-mation-},
pages = {72--73},
title = {{On the Equivalence of the ``Niblett'' and ``Bostick'' Transformations in the Magnetotelluric Method}},
volume = {53},
year = {1983}
}
@article{kelbertetal2014,
abstract = {We describe implementation of a modular system of computer codes for inversion of electromagnetic geophysical data, referred to as ModEM. The system is constructed with a fine level of modular granularity, with basic components of the inversion - forward modeling, sensitivity computations, inversion search algorithms, model parametrization and regularization, data functionals - interchangeable, reusable and readily extensible. Modular sensitivity computations and generic interfaces to parallelized inversion algorithms provide a ready framework for rapid implementation of new applications or inversion algorithms. We illustrate the code[U+05F3]s versatility and capabilities for code reuse through implementation of 3D magnetotelluric (MT) and controlled-source EM (CSEM) inversions, using essentially the same components. {\textcopyright} 2014 Elsevier Ltd.},
author = {Kelbert, Anna and Meqbel, Naser and Egbert, Gary D. and Tandon, Kush},
doi = {10.1016/j.cageo.2014.01.010},
file = {:C$\backslash$:/Users/u64125/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Kelbert et al. - 2014 - ModEM A modular system for inversion of electromagnetic geophysical data.pdf:pdf},
isbn = {0098-3004},
issn = {00983004},
journal = {Computers and Geosciences},
keywords = {Code reuse,Controlled-source electromagnetics,Geophysics,Inversion,Magnetotellurics,Numerical modeling,Object-oriented programming,Parallelization,Sensitivities},
title = {{ModEM: A modular system for inversion of electromagnetic geophysical data}},
year = {2014}
}
@article{kriegerpeacock2014,
abstract = {We present the software package MTpy that allows handling, processing, and imaging of magnetotelluric (MT) data sets. Written in Python, the code is open source, containing sub-packages and modules for various tasks within the standard MT data processing and handling scheme. Besides the independent definition of classes and functions, MTpy provides wrappers and convenience scripts to call standard external data processing and modelling software. In its current state, modules and functions of MTpy work on raw and pre-processed MT data. However, opposite to providing a static compilation of software, we prefer to introduce MTpy as a flexible software toolbox, whose contents can be combined and utilised according to the respective needs of the user. Just as the overall functionality of a mechanical toolbox can be extended by adding new tools, MTpy is a flexible framework, which will be dynamically extended in the future. Furthermore, it can help to unify and extend existing codes and algorithms within the (academic) MT community. In this paper, we introduce the structure and concept of MTpy. Additionally, we show some examples from an everyday work-flow of MT data processing: the generation of standard EDI data files from raw electric (E-) and magnetic flux density (B-) field time series as input, the conversion into MiniSEED data format, as well as the generation of a graphical data representation in the form of a Phase Tensor pseudosection.},
author = {Krieger, Lars and Peacock, Jared R.},
doi = {10.1016/J.CAGEO.2014.07.013},
issn = {0098-3004},
journal = {Computers {\&} Geosciences},
month = {nov},
pages = {167--175},
publisher = {Pergamon},
title = {{MTpy: A Python toolbox for magnetotellurics}},
url = {https://www.sciencedirect.com/science/article/pii/S0098300414001794},
volume = {72},
year = {2014}
}
@article{niblett1960,
abstract = {Apparatus has been installed at the Dominion Observatory Research Station at Meanook, Alberta, for the continuous recording of earth potentials. The theory due to Cagniard (1953) and others, in which relative amplitudes of horizontal components of electric and magnetic fields are used to interpret the sub‐surface structure, is applied in a modified form, to data from the Meanook records. Values of electrical conductivity between depths of 10 km and 100 km are estimated, and found to vary roughly between 10-13 and 10-14 e.m.u.},
author = {Niblett, E. R. and Sayn‐Wittgenstein, C.},
doi = {10.1190/1.1438799},
issn = {0016-8033},
journal = {Geophysics},
month = {oct},
number = {5},
pages = {998--1008},
publisher = {Society of Exploration Geophysicists},
title = {{Variation of electrical conductivity with depth by the magneto-telluric method}},
url = {http://library.seg.org/doi/10.1190/1.1438799},
volume = {25},
year = {1960}
}
@article{parkinson1962,
author = {Parkinson, W. D.},
doi = {10.1111/j.1365-246X.1962.tb02992.x},
issn = {0956-540X},
journal = {Geophysical Journal International},
month = {may},
number = {4},
pages = {441--449},
publisher = {John Wiley {\&} Sons, Ltd (10.1111)},
title = {{The Influence of Continents and Oceans on Geomagnetic Variations}},
url = {https://academic.oup.com/gji/article-lookup/doi/10.1111/j.1365-246X.1962.tb02992.x},
volume = {6},
year = {1962}
}