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dc.contributor.authorJuniper, Matthew
dc.contributor.authorYoko, Matthew
dc.date.accessioned2022-05-19T14:47:41Z
dc.date.available2022-05-19T14:47:41Z
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/337304
dc.descriptionThis is a reduced version of DATAN that generates the figures in 'Generating a physics-based quantitatively-accurate model of an electrically-heated Rijke tube with Bayesian inference' by M. P. Juniper and M. Yoko, in the Journal of Sound and Vibration (2022). Open Matlab and, at the command line, type: >> Assim_JSV('figure_*') where * is the label of the desired figure. Assim_JSV.m is a Matlab script that assimilates data from the experiments in the folder 210720_configs. It uses the Matlab functions in the folder 220421_Datan. See the comments in each Matlab file for details. DATAN assimilates microphone data from experiments on an electrically-heated Rijke tube into a thermoacoustic network model. Several different physics-based models are proposed for the elements of the network model. DATAN calculates the most likely parameters for each model, as well as its best fit likelihood, its Occam factor, and its marginal likelihood. This allows the models to be ranked against each other. The model with the most evidence can then be selected.
dc.description.sponsorshipCambridge Trusts
dc.formatRequires Matlab with the optmization toolbox (fminunc)
dc.rightsApache License 2.0 (Apache-2.0)
dc.rights.urihttp://www.apache.org/licenses/LICENSE-2.0
dc.subjectThermoacoustics
dc.subjectData assimilation
dc.subjectBayesian Inference
dc.subjectAdjoint methods
dc.titleCode supporting 'Generating a physics-based quantitatively-accurate model of an electrically-heated Rijke tube with Bayesian inference'
dc.typeSoftware
dc.publisher.departmentDepartment of Engineering
dc.date.updated2022-05-04T09:42:07Z
dc.identifier.doi10.17863/CAM.84141
rioxxterms.licenseref.urihttp://www.apache.org/licenses/LICENSE-2.0
datacite.contributor.supervisorJuniper, Matthew Pudan
dc.contributor.orcidJuniper, Matthew [0000-0002-8742-9541]
rioxxterms.typeOther
datacite.issupplementto.doi10.1016/j.jsv.2022.117096
datacite.issupplementto.urlhttps://www.repository.cam.ac.uk/handle/1810/337715
cam.depositDate2022-05-04
pubs.licence-identifierapollo-deposit-licence-2-1
pubs.licence-display-nameApollo Repository Deposit Licence Agreement


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