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dc.date.accessioned2013-03-12T08:25:49Z
dc.date.available2013-03-12T08:25:49Z
dc.date.issued2010en_US
dc.date.submitted2010-06-01en_US
dc.identifier.citationSkorbakk, Ine. Star formation rate and dynamical state of galaxy clusters. Masteroppgave, University of Oslo, 2010en_US
dc.identifier.urihttp://hdl.handle.net/10852/10917
dc.description.abstractIn this thesis the correlation between star formation and dynamical state of a statistical well defined selection of galaxy clusters have been studied. From simulations and theory it is expected strong correlations between the dynamical state of a galaxy cluster and the history of how its matter has gathered, and the present and prior star formation rate in the cluster. Several physical mechanisms may be responsible for the evolution of the star formation rate in a galaxy cluster, and the environments where these mechanisms are most efficient, differ. The correlation between star formation and the dynamical state of galaxy clusters can provide clues to which physical cluster-related processes are responsible for the quenching of star formation in high-density environments. The data set used consists of images of 35 galaxy clusters in UV taken with the Nordic Optical Telescope (NOT) at la Palma. The distribution of X-ray luminous gas is a good measurement of the degree of dynamical equilibrium in a galaxy cluster. Existing X-ray measurements are used to classify the galaxy clusters according to their dynamical state, which again is compared with the calculated star formation activity.eng
dc.language.isoengen_US
dc.subjectgalaksehoper stjernedannelsesrate dynamisk tilstanden_US
dc.titleStar formation rate and dynamical state of galaxy clustersen_US
dc.typeMaster thesisen_US
dc.date.updated2010-07-01en_US
dc.creator.authorSkorbakk, Ineen_US
dc.subject.nsiVDP::438en_US
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft.au=Skorbakk, Ine&rft.title=Star formation rate and dynamical state of galaxy clusters&rft.inst=University of Oslo&rft.date=2010&rft.degree=Masteroppgaveen_US
dc.identifier.urnURN:NBN:no-24896en_US
dc.type.documentMasteroppgaveen_US
dc.identifier.duo103229en_US
dc.contributor.supervisorHåkon Dahle and Per B. Liljeen_US
dc.identifier.bibsys101478305en_US
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/10917/5/thesis_ine4.pdf


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