GP018
Twenty years of FORCing in rock magnetism
Session ID#: 73278
Session Description:
Twenty years ago, Pike et al. (1999) published an experimentally feasible approach for determining first-order reversal curve (FORC) distributions. Much work has been done subsequently to provide a firm experimental, theoretical, and numerical foundation for FORC diagram interpretation in rock magnetism, materials science, and solid-state physics. This has led to the routine use of FORC diagrams for domain state diagnosis in rock magnetism. In recent years, there have been many FORC-related advances, including development of new measurement protocols, algorithms for calculating the second derivative used to determine FORC distributions, unmixing methods for complexly mixed natural samples, numerical simulations of the FORC responses of magnetic particle assemblages, and experimental studies. The aim of this session is to provide a forum to discuss the advancing state-of-the-art in relation to use of FORC diagrams in rock magnetism. Contributions that address any aspect of FORC research, including applications, are welcome.
Index Terms:
1512 Environmental magnetism [GEOMAGNETISM AND PALEOMAGNETISM]
1540 Rock and mineral magnetism [GEOMAGNETISM AND PALEOMAGNETISM]
1594 Instruments and techniques [GEOMAGNETISM AND PALEOMAGNETISM]
3294 Instruments and techniques [MATHEMATICAL GEOPHYSICS]
Primary Convener: Hirokuni Oda, Geological Survey of Japan, Tsukuba, Ibaraki, Japan
Conveners: Joshua M Feinberg, University of Minnesota, Minneapolis, MN, United States and Pengxiang Hu, The Australian National University, Research School of Earth Sciences, Canberra, ACT, Australia
Primary Liaison: Hirokuni Oda, National Institute of Advanced Industrial Science and Technology (AIST), Geological Survey of Japan, Tsukuba, Japan
Time-Asymmetric FORC Diagrams: The missing link between the FORC diagrams and thermoviscous remanence behavior (Invited) (485599)
Thomas Berndt1, Liao Chang1, Shishun Wang1 and Sijibomioluwa Adesope Badejo2, (1)Peking University, School of Earth and Space Sciences, Beijing, China, (2)Imperial College London, Earth Science and Engineering, London, United Kingdom
Simulation of remanent, transient, and induced first-order reversal curve (FORC) diagrams (501223)
Richard J Harrison1, Xiang Zhao2, Pengxiang Hu3, Tetsuro Sato4, David Heslop3, Adrian R Muxworthy5, Hirokuni Oda4, Charan Kuppili6 and Andrew P Roberts3, (1)University of Cambridge, Earth Sciences, Cambridge, United Kingdom, (2)BNU Beijing Normal University, State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing, China, (3)The Australian National University, Research School of Earth Sciences, Canberra, ACT, Australia, (4)National Institute of Advanced Industrial Science and Technology (AIST), Geological Survey of Japan, Tsukuba, Japan, (5)Imperial College London, Earth Science and Engineering, London, United Kingdom, (6)University of Cambridge, Department of Earth Sciences, Cambridge, United Kingdom
A Model Selection-Based Machine Learning Framework to Estimate Optimized First-Order Reversal Curve Distributions (528063)
David Heslop1,2, Andrew P Roberts1,2, Hirokuni Oda2, Xiang Zhao2,3, Richard J Harrison4, Adrian R Muxworthy5, Pengxiang Hu1,2 and Tetsuro Sato2, (1)The Australian National University, Research School of Earth Sciences, Canberra, ACT, Australia, (2)National Institute of Advanced Industrial Science and Technology (AIST), Geological Survey of Japan, Tsukuba, Japan, (3)The Australian National University, Research School of Earth Sciences, Canberra, Australia, (4)Univ Cambridge, Cambridge, United Kingdom, (5)Imperial College London, Earth Science and Engineering, London, United Kingdom
The Pseudo-Single Domain FORC Signature Explained (541951)
Ioan Lascu, Smithsonian Institution, Washington DC, United States, Richard J Harrison, Univ Cambridge, Cambridge, United Kingdom, Joshua Franz Einsle, University of Cambridge, Department of Materials Science and Metallurgy, Department of Earth Sciences, Cambridge, United Kingdom and Matthew R Ball, University of Cambridge, Earth Sciences, Cambridge, United Kingdom
Understanding dipolar magnetostatic interactions in bulk natural samples with extended first-order reversal curve (FORC) diagrams (562930)
Xiang Zhao1, Xiangyu Zhao2, Andrew P Roberts3, David Heslop3, Jinhua LI4 and Pengxiang Hu3, (1)Australian National University, Canberra, Australia, (2)NIPR National Institute of Polar Research, Tokyo, Japan, (3)The Australian National University, Research School of Earth Sciences, Canberra, ACT, Australia, (4)Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China
High-quality data acquisition for first-order reversal curve distributions: Reduction of noise and drift for alternating gradient magnetometer measurements (564209)
Hirokuni Oda1, Andrew P Roberts1,2, Tetsuro Sato1, Pengxiang Hu1,2, Xiang Zhao1,3, Richard J Harrison4, David Heslop1,2 and Adrian R Muxworthy5, (1)National Institute of Advanced Industrial Science and Technology (AIST), Geological Survey of Japan, Tsukuba, Japan, (2)The Australian National University, Research School of Earth Sciences, Canberra, ACT, Australia, (3)The Australian National University, Research School of Earth Sciences, Canberra, Australia, (4)Univ Cambridge, Cambridge, United Kingdom, (5)Imperial College London, Earth Science and Engineering, London, United Kingdom
Unlocking the full range of information available in first-order reversal curve (FORC) diagrams (566135)
Andrew P Roberts1, David Heslop2, Xiang Zhao3 and Christopher R Pike1, (1)Australian National University, Canberra, ACT, Australia, (2)The Australian National University, Research School of Earth Sciences, Canberra, ACT, Australia, (3)Beijing Normal University, Beijing, China
FORC principal component analysis of coarse-grained samples: whole rock and mineral separates from the Bushveld Complex, South Africa (584563)
Nathan S Church1, Suzanne A McEnroe1 and Christian Tegner2, (1)Norwegian University of Science and Technology, Department of Geoscience and Petroleum, Trondheim, Norway, (2)Aarhus University, Centre of Earth System Petrology, Department of Geoscience, Aarhus, Denmark
Using Remanence FORCs to Test for Magnetofossils in Martian Meteorite ALH84001 (624995)
Zoe Levitt1, Isaac A. Hilburn2, Jennifer Buz3, Richard Dargan4 and Joseph L Kirschvink2, (1)Massachusetts Institute of Technology, Cambridge, MA, United States, (2)California Institute of Technology, Division of Geological and Planetary Sciences, Pasadena, CA, United States, (3)California Institute of Technology, Pasadena, CA, United States, (4)Caltech, Pasadena, United States
