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dc.contributor.authorRouzee, Arnaud
dc.contributor.authorGhafur, Omair
dc.contributor.authorVidma, Konstantin
dc.contributor.authorGijsbertsen, Arjan
dc.contributor.authorM. Shir, Ofer
dc.contributor.authorBäck, Thomas
dc.contributor.authorMeijer, Afric
dc.contributor.authorJ. van der Zande, Wim
dc.contributor.authorParker, David
dc.contributor.authorJ. J. Vrakking, Marc
dc.date.accessioned2017-05-03T16:06:15Z
dc.date.available2017-05-03T16:06:15Z
dc.date.issued2011
dc.date.modified2012-02-16T05:31:58Z
dc.identifier.issn10502947
dc.identifier.doi10.1103/PhysRevA.84.033415
dc.identifier.urihttp://hdl.handle.net/10072/42777
dc.description.abstractWe present experimental and numerical studies on control of rotational population transfer of NO(J = 1/2) molecules to higher rotational states. We are able to transfer 57% of the population to the J = 5/2 state and 46% to J = 9/2, in good agreement with quantum mechanical simulations. The optimal pulse shapes are composed of pulse sequences with delays corresponding to the beat frequencies of states on the rotational ladder. The evolutionary algorithm is limited by experimental constraints such as volume averaging and the finite laser intensity used, the latter to circumvent ionization. Without these constraints, near-perfect control (>98%) is possible. In addition, we show that downward control, moving molecules from high to low rotational states, is also possible.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoeng
dc.publisherAmerican Physical Society
dc.publisher.placeUnited States
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom033415-1
dc.relation.ispartofpageto033415-5
dc.relation.ispartofissue3
dc.relation.ispartofjournalPhysical Review A
dc.relation.ispartofvolume84
dc.rights.retentionY
dc.subject.fieldofresearchAtomic and Molecular Physics
dc.subject.fieldofresearchMathematical Sciences
dc.subject.fieldofresearchPhysical Sciences
dc.subject.fieldofresearchChemical Sciences
dc.subject.fieldofresearchcode020201
dc.subject.fieldofresearchcode01
dc.subject.fieldofresearchcode02
dc.subject.fieldofresearchcode03
dc.titleEvolutionary optimization of rotational population transfer
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.date.issued2011
gro.hasfulltextNo Full Text
gro.griffith.authorGhafur, Omair


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