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A statistical theory for powder EPR in distributed systems

dc.contributor.authorHagen, Wilfred R.en_US
dc.contributor.authorHearshen, David O.en_US
dc.contributor.authorSands, Richard H.en_US
dc.contributor.authorDunham, William Richarden_US
dc.date.accessioned2006-04-07T19:13:59Z
dc.date.available2006-04-07T19:13:59Z
dc.date.issued1985-02-01en_US
dc.identifier.citationHagen, W. R., Hearshen, D. O., Sands, R. H., Dunham, W. R. (1985/02/01)."A statistical theory for powder EPR in distributed systems." Journal of Magnetic Resonance (1969) 61(2): 220-232. <http://hdl.handle.net/2027.42/25870>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B7GXD-4CRG7JK-N6/2/add13ca2071bccd099aca7cc3bcae961en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/25870
dc.description.abstractA statistical interpretation is presented for "g strain," the dominant broadening in the EPR spectra of metallo-proteins. The direct cause of g strain is described by a three-dimensional tensor p, whose principal elements are random variables. The p and g tensors are not necessarily colinear. The observed EPR linewidth results from a distribution in the effective g value as a function of (a) the joint distribution function of the elements of the p tensor and (b) the spatial relationship between the two principal axis systems involved. The theory is reformulated in terms of matrices that facilitate a direct comparison with earlier work. Two previous theories of g strain represent different subsets of the general theory, namely, the case of zero rotation between axis systems and the case with nonzero rotation and full correlation between elements of the p tensor.en_US
dc.format.extent813576 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleA statistical theory for powder EPR in distributed systemsen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelPhysicsen_US
dc.subject.hlbsecondlevelElectrical Engineeringen_US
dc.subject.hlbtoplevelScienceen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumBiophysics Research Division, Institute of Science and Technology, University of Michigan, Ann Arbor, Michigan 48109, USAen_US
dc.contributor.affiliationumBiophysics Research Division, Institute of Science and Technology, University of Michigan, Ann Arbor, Michigan 48109, USAen_US
dc.contributor.affiliationumBiophysics Research Division, Institute of Science and Technology, University of Michigan, Ann Arbor, Michigan 48109, USAen_US
dc.contributor.affiliationumBiophysics Research Division, Institute of Science and Technology, University of Michigan, Ann Arbor, Michigan 48109, USAen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/25870/1/0000433.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0022-2364(85)90077-0en_US
dc.identifier.sourceJournal of Magnetic Resonanceen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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