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DAVIS: A direct algorithm for velocity-map imaging system


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dc.contributorG. M. Laurent; gml0012@auburn.eduen_US
dc.creatorHarrison, G. R.
dc.creatorVaughan, J. C.
dc.creatorHidle, B.
dc.creatorLaurent, G. M.
dc.date.accessioned2020-06-25T13:18:26Z
dc.date.available2020-06-25T13:18:26Z
dc.date.created2018
dc.identifier10.1063/1.5055385en_US
dc.identifier.urihttps://aip-scitation-org.spot.lib.auburn.edu/doi/full/10.1063/1.5025057en_US
dc.identifier.urihttp://hdl.handle.net/11200/49898
dc.description.abstractIn this work, we report a direct (non-iterative) algorithm to reconstruct the three-dimensional (3D) momentum-space picture of any charged particles collected with a velocity-map imaging system from the two-dimensional (2D) projected image captured by a position-sensitive detector. The method consists of fitting the measured image with the 2D projection of a model 3D velocity distribution defined by the physics of the light-matter interaction. The meaningful angle-correlated information is first extracted from the raw data by expanding the image with a complete set of Legendre polynomials. Both the particle’s angular and energy distributions are then directly retrieved from the expansion coefficients. The algorithm is simple, easy to implement, fast, and explicitly takes into account the pixelization effect in the measurement.en_US
dc.formatPDFen_US
dc.relation.ispartofJournal of Chemical Physicsen_US
dc.relation.ispartofseries0021-9606en_US
dc.rights© 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.titleDAVIS: A direct algorithm for velocity-map imaging systemen_US
dc.typeCollectionen_US
dc.type.genreJournal Article, Academic Journalen_US
dc.citation.volume149en_US
dc.citation.issue12en_US
dc.citation.spage129901en_US
dc.description.statusPublisheden_US
dc.description.peerreviewYesen_US
dc.creator.orcidhttps://orcid.org/0000-0002-3700-7412en_US

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