Increasing the efficiency of paleointensity analyses by selection of samples using first-order reversal curve diagrams
Increasing the efficiency of paleointensity analyses by selection of samples using first-order reversal curve diagrams
The global paleointensity database is restricted by the high failure rate of paleointensity analyses. Excluding thermal alteration, failure is usually caused by the presence of multidomain grains and interactions among grains, two properties that can be identified using first-order reversal curve (FORC) diagrams. We measured FORC diagrams on sister samples of about 200 samples that had been used for Thellier paleointensity determinations and determined criteria to discriminate samples that gave acceptable paleointensity results from those that did not. The three most discriminating criteria are the vertical spread of the FORC distribution (indicative of interactions), expressed as the full width at half maximum (FWHM), the spread of the FORC distribution along the Hc = 0 axis (width), and the bulk coercivity Hc (both indicative of domain state). Setting thresholds at 132 mT for the width of the distribution and 29 mT for the FWHM maximizes the number of unsuccessful rejected samples. Using an additional threshold of Hc = 5.4 mT results in rejection of 32% of unsuccessful samples. Seven samples that barely satisfy the paleointensity selection criteria would also be rejected using these selection criteria. Most of the samples that fail the paleointensity experiment without being detected by our selection criteria have ideal noninteracting single-domain magnetic properties but fail because of the thermal alteration that results from repeated heating. Being able to eliminate at least one third of unsuccessful samples using our FORC diagram-based prescreening procedure should provide a significant improvement in efficiency of paleointensity measurements.
FORC diagrams, Thellier-Thellier method, magnetic interactions
B12103
Carvallo, C.
d626c1b8-9a3e-4140-b2cd-c9728e289ad0
Roberts, A.P.
4497b436-ef02-428d-a46e-65a22094ba52
Leonhardt, R.
a8a59d2f-8eac-49fa-b871-754cd7d08ab8
Laj, C.
7f5fe7d9-e4f1-4f3c-b138-d381d31df532
Kissel, C.
b0633d67-0db2-4960-b9d2-20078cd004c3
Perrin, M.
3dc1ece2-49b8-4959-b1b5-e86b04c2892c
Camps, P.
4f5a97f6-9fa2-43c3-89ef-4a057f2bc657
2006
Carvallo, C.
d626c1b8-9a3e-4140-b2cd-c9728e289ad0
Roberts, A.P.
4497b436-ef02-428d-a46e-65a22094ba52
Leonhardt, R.
a8a59d2f-8eac-49fa-b871-754cd7d08ab8
Laj, C.
7f5fe7d9-e4f1-4f3c-b138-d381d31df532
Kissel, C.
b0633d67-0db2-4960-b9d2-20078cd004c3
Perrin, M.
3dc1ece2-49b8-4959-b1b5-e86b04c2892c
Camps, P.
4f5a97f6-9fa2-43c3-89ef-4a057f2bc657
Carvallo, C., Roberts, A.P., Leonhardt, R., Laj, C., Kissel, C., Perrin, M. and Camps, P.
(2006)
Increasing the efficiency of paleointensity analyses by selection of samples using first-order reversal curve diagrams.
Journal of Geophysical Research, 111 (B12), .
(doi:10.1029/2005JB004126).
Abstract
The global paleointensity database is restricted by the high failure rate of paleointensity analyses. Excluding thermal alteration, failure is usually caused by the presence of multidomain grains and interactions among grains, two properties that can be identified using first-order reversal curve (FORC) diagrams. We measured FORC diagrams on sister samples of about 200 samples that had been used for Thellier paleointensity determinations and determined criteria to discriminate samples that gave acceptable paleointensity results from those that did not. The three most discriminating criteria are the vertical spread of the FORC distribution (indicative of interactions), expressed as the full width at half maximum (FWHM), the spread of the FORC distribution along the Hc = 0 axis (width), and the bulk coercivity Hc (both indicative of domain state). Setting thresholds at 132 mT for the width of the distribution and 29 mT for the FWHM maximizes the number of unsuccessful rejected samples. Using an additional threshold of Hc = 5.4 mT results in rejection of 32% of unsuccessful samples. Seven samples that barely satisfy the paleointensity selection criteria would also be rejected using these selection criteria. Most of the samples that fail the paleointensity experiment without being detected by our selection criteria have ideal noninteracting single-domain magnetic properties but fail because of the thermal alteration that results from repeated heating. Being able to eliminate at least one third of unsuccessful samples using our FORC diagram-based prescreening procedure should provide a significant improvement in efficiency of paleointensity measurements.
This record has no associated files available for download.
More information
Published date: 2006
Keywords:
FORC diagrams, Thellier-Thellier method, magnetic interactions
Identifiers
Local EPrints ID: 44819
URI: http://eprints.soton.ac.uk/id/eprint/44819
ISSN: 0148-0227
PURE UUID: 9f4120f8-067d-4b6f-b241-871de010a4a2
Catalogue record
Date deposited: 15 Mar 2007
Last modified: 15 Mar 2024 09:08
Export record
Altmetrics
Contributors
Author:
C. Carvallo
Author:
A.P. Roberts
Author:
R. Leonhardt
Author:
C. Laj
Author:
C. Kissel
Author:
M. Perrin
Author:
P. Camps
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics