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Baseband Detection of Bistatic Electron Spin Signals in Magnetic Resonance Force Microscopy

dc.contributor.authorYip, Chun-yuen_US
dc.contributor.authorHero, Alfred 0.en_US
dc.contributor.authorRugar, Danielen_US
dc.contributor.authorFessler, Jeffrey A.en_US
dc.date.accessioned2011-08-18T18:21:14Z
dc.date.available2011-08-18T18:21:14Z
dc.date.issued2003-11-09en_US
dc.identifier.citationYip, C.; Hero, A.O.; Rugar, D.; Fessler, J.A. (2003). "Baseband Detection of Bistatic Electron Spin Signals in Magnetic Resonance Force Microscopy." Conference Record of the … Asilomar Conference on Signals, Systems and Computers 37(2): 1309-1313. <http://hdl.handle.net/2027.42/85966>en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/85966
dc.description.abstractIn magnetic resonance force microscopy (MRFM), it is hypothesized that it is possible to detect the presence of a single electron spin in a sample volume by measuring spin-induced at-tonewton forces using a micromachined cantilever. In the oscillating cantilever driven adiabatic reversals (OSCAR) method for single-spin MRFM, electron spins are manipulated by an external radio-frequency (RF) magnetic field to produce small periodic deviations in the resonant frequency of the cantilever. These deviations can be detected by frequency demodulation followed by a filtered energy detector. In this paper, we present an alternative to energy detection methods, based on optimal detection theory and Gibbs sampling. Receiver operating characteristic (ROC) curves and power curves from simulations are shown for realistic MRFM operating conditions. Surprisingly, the proposed detector performs almost identically to the filtered energy detector for the range of conditions we studied.en_US
dc.publisherIEEEen_US
dc.titleBaseband Detection of Bistatic Electron Spin Signals in Magnetic Resonance Force Microscopyen_US
dc.typearticleen_US
dc.subject.hlbsecondlevelBiomedical Engineeringen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumUniversity of Michiganen_US
dc.contributor.affiliationotherIBM Research Division, Almaden Research Center, San Jose, CA.en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/85966/1/Fessler192.pdf
dc.identifier.doi10.1109/ACSSC.2003.1292200en_US
dc.identifier.sourceConference Record of the … Asilomar Conference on Signals, Systems and Computersen_US
dc.owningcollnameElectrical Engineering and Computer Science, Department of (EECS)


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