Magnetisation of the lunar crust
dc.contributor.advisor
Whaler, Kathy
en
dc.contributor.advisor
Williams, Wyn
en
dc.contributor.author
Carley, Ruth Alexandra
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dc.contributor.sponsor
Natural Environment Research Council (NERC)
en
dc.date.accessioned
2011-09-07T12:40:19Z
dc.date.available
2011-09-07T12:40:19Z
dc.date.issued
2011-06-28
dc.description
NER/S/A/2006/14230
en
dc.description.abstract
The Moon displays weak magnetic fields resulting from areas of the lunar
crust that are remanently magnetised. The origins of the magnetic fields that
produced this remanent magnetisation are still under discussion, and theories include
among several, an ancient lunar dynamo, or processes occurring on the Moon as a
result of impacts. Lunar crustal fields have been mapped globally by the
Magnetometer (MAG) and Electron Reflectometer (ER) on the satellite Lunar
Prospector, providing vector magnetic field measurements at an average altitude of
30 km, and estimates of the total surface field.
This thesis presents global and regional models of the magnitude and
direction of lunar magnetisation within a layer, produced from both the MAG and
ER data independently and jointly using several inversion methods. The inverse
modelling techniques are based on those developed for terrestrial and Martian data
sets, employing equivalent source dipoles as basis functions, and Green’s functions
relating a magnetic field observation to a spatially continuous magnetisation
distribution. A unique magnetisation solution is selected having the smallest rootmean-
square (RMS) magnetisation for a given fit to the data, controlled by a
damping parameter. The non-uniqueness in magnetisation distributions and the
determination of source parameters is discussed with the use of forward models to
assist the interpretation of the crustal magnetisation models.
Suites of magnetisation models for layers with thicknesses between 10 and 50
km, and with different dipole depths, are able to reproduce both the ER and MAG
data well. Inverse models utilising the scalar ER data have been developed
successfully, resulting in a joint inversion of the ER and MAG data for one of the
strongest magnetic anomalies on the Moon, Reiner Gamma.
The largest concentrations of strongly magnetised crust are, like the crustal
fields themselves, located antipodal to the youngest large impact basins, and in some
isolated areas associated with the strongest crustal fields. The magnetisation
distributions show robust magnitudes with different data sets and modelling
techniques showing the extent of magnetised sources, but can not be used to infer the
direction of the magnetising fields. Average magnetisation values in magnetised
regions of 30-40 mA/m are similar to the measured magnetisations of the Apollo
samples and significantly weaker than crustal magnetisations for Mars and the Earth.
A global preference for a 30 km thick magnetised layer suggests that a dynamo field
may be more consistent with these magnetisation models.
The magnetisation models in this thesis are the first global magnetisation
models for the Moon, and the first to combine the vector MAG and the scalar ER
data. These magnetisation models can be used to predict the crustal contribution to
the lunar magnetic field environment at a particular location, and in the absence of
reliable sample returns, provide valuable information on the magnitude of lunar
crustal magnetisation.
en
dc.identifier.uri
http://hdl.handle.net/1842/5275
dc.language.iso
en
dc.publisher
The University of Edinburgh
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dc.relation.haspart
The University of Edinburgh. College of Science and Engineering
en
dc.relation.hasversion
Halekas, J.S., Lillis, R.J., Lin, R.P., Manga, M., Purucker, M.E., and Carley, R.A. (2010) How strong are lunar crustal magnetic fields at the surface?: Considerations from a re-examination of the electron reflectometry technique, Journal of Geophysical Research, Vol. 115-E3, doi: 10.1029/2009JE003516.
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dc.subject
magnetisation
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dc.subject
magnetic field
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dc.subject
moon
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dc.title
Magnetisation of the lunar crust
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dc.type
Thesis or Dissertation
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dc.type.qualificationlevel
Doctoral
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dc.type.qualificationname
PhD Doctor of Philosophy
en
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