Gravitational lensing by eigenvalue distributions of random matrix models

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dc.contributor.authorMartínez Alonso, Luis
dc.contributor.authorMedina Reus, Elena
dc.date.accessioned2023-06-17T12:27:16Z
dc.date.available2023-06-17T12:27:16Z
dc.date.issued2018-05-10
dc.description© IOP Publishing Ltd. We wish to thank G. Alvarez for his help and many useful conversations. The financial support of the Spanish Ministerio de Economía y Competitividad under Project No. FIS2015-63966-P is also gratefully acknowledged.
dc.description.abstractWe propose to use eigenvalue densities of unitary random matrix ensembles as mass distributions in gravitational lensing. The corresponding lens equations reduce to algebraic equations in the complex plane which can be treated analytically. We prove that these models can be applied to describe lensing by systems of edge-on galaxies. We illustrate our analysis with the Gaussian and the quartic unitary matrix ensembles.
dc.description.departmentDepto. de Física Teórica
dc.description.facultyFac. de Ciencias Físicas
dc.description.refereedTRUE
dc.description.sponsorshipMinisterio de Economía y Competitividad (MINECO)
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/47471
dc.identifier.doi10.1088/1361-6382/aab4c9
dc.identifier.issn0264-9381
dc.identifier.officialurlhttp://dx.doi.org/10.1088/1361-6382/aab4c9
dc.identifier.relatedurlhttp://iopscience.iop.org
dc.identifier.urihttps://hdl.handle.net/20.500.14352/12092
dc.issue.number9
dc.journal.titleClassical and quantum gravity
dc.language.isoeng
dc.publisherIOP Publishing Ltd
dc.relation.projectIDFIS2015-63966-P
dc.rights.accessRightsopen access
dc.subject.cdu51-73
dc.subject.keywordLimit
dc.subject.ucmFísica-Modelos matemáticos
dc.subject.ucmFísica matemática
dc.titleGravitational lensing by eigenvalue distributions of random matrix models
dc.typejournal article
dc.volume.number35
dspace.entity.typePublication
relation.isAuthorOfPublication896aafc0-9740-4609-bc38-829f249a0d2b
relation.isAuthorOfPublication.latestForDiscovery896aafc0-9740-4609-bc38-829f249a0d2b
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