A statistical theory for powder EPR in distributed systems
dc.contributor.author | Hagen, Wilfred R. | en_US |
dc.contributor.author | Hearshen, David O. | en_US |
dc.contributor.author | Sands, Richard H. | en_US |
dc.contributor.author | Dunham, William Richard | en_US |
dc.date.accessioned | 2006-04-07T19:13:59Z | |
dc.date.available | 2006-04-07T19:13:59Z | |
dc.date.issued | 1985-02-01 | en_US |
dc.identifier.citation | Hagen, 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.uri | http://www.sciencedirect.com/science/article/B7GXD-4CRG7JK-N6/2/add13ca2071bccd099aca7cc3bcae961 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/25870 | |
dc.description.abstract | A 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.extent | 813576 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Elsevier | en_US |
dc.title | A statistical theory for powder EPR in distributed systems | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Physics | en_US |
dc.subject.hlbsecondlevel | Electrical Engineering | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Biophysics Research Division, Institute of Science and Technology, University of Michigan, Ann Arbor, Michigan 48109, USA | en_US |
dc.contributor.affiliationum | Biophysics Research Division, Institute of Science and Technology, University of Michigan, Ann Arbor, Michigan 48109, USA | en_US |
dc.contributor.affiliationum | Biophysics Research Division, Institute of Science and Technology, University of Michigan, Ann Arbor, Michigan 48109, USA | en_US |
dc.contributor.affiliationum | Biophysics Research Division, Institute of Science and Technology, University of Michigan, Ann Arbor, Michigan 48109, USA | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/25870/1/0000433.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/0022-2364(85)90077-0 | en_US |
dc.identifier.source | Journal of Magnetic Resonance | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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