Imperial College London


Faculty of EngineeringDepartment of Earth Science & Engineering

Research Postgraduate







3.49GRoyal School of MinesSouth Kensington Campus





Publication Type

4 results found

Di Chiara A, Muxworthy AR, Trindade RIF, Bispo-Santos F, Baker EBet al., 2023, Mesoproterozoic geomagnetic field strength from Nova Guarita mafic dykes (Amazon Craton), Studia Geophysica et Geodaetica: a journal of geophysics, geodesy, meteorology and climatology, ISSN: 0039-3169

Journal article

Baker EB, Muxworthy A, 2023, Using Preisach theory to evaluate chemical remanent magnetization and its behavior during Thellier-Thellier-Coe paleointensity experiments, Journal of Geophysical Research: Solid Earth, ISSN: 2169-9356

Journal article

Wei F, Prytulak J, Baker EB, Xu J, Zhao Bet al., 2022, Identifying Tethys oceanic fingerprint in post-collisional potassium-rich lavas in Tibet using thallium isotopes, CHEMICAL GEOLOGY, Vol: 607, ISSN: 0009-2541

Journal article

Muxworthy A, Baker E, 2021, ThellierCoolPy: A cooling-rate correction tool for paleointensity data, G3: Geochemistry, Geophysics, Geosystems: an electronic journal of the earth sciences, Vol: 22, Pages: 1-8, ISSN: 1525-2027

We report a new approach of implementing cooling-rate corrections in absolute ancient magnetic field intensity (paleointensity) studies. Nearly all methods of determining paleointensity estimates rely on rocks having recorded a thermoremanent magnetization (TRM), on cooling from above the rock’s constituent minerals’ Curie temperature. Typically paleointensity estimates are made by comparing natural TRM, with a TRM induced in the laboratory; however, TRM intensity has long been reported to be dependent on cooling rate. Natural cooling rates are impractical in laboratories. We have developed a new cooling-rate correction method and corresponding software (ThellierCoolPy), that directly corrects the unprocessed paleointensity data, using first-order reversal curve data collected on a sister sample. This site tailored cooling-rate correction has a unique correction for each temperature step within the paleointensity data set. This new method differs from previous approaches which apply a blanket cooling-rate correction independent of the material properties of the sample. Paleointensity data from historical lavas from Parícutin, Mexico, are used to demonstrate the new software. For this data set, it is shown that cooling time of 1 million years yields a reduction of the paleointensity of ∼7%. The software is available for download.

Journal article

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