Bayesian Distance Prior in LISA Gravitational Wave Data Analysis

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dc.contributor.advisorLoverde, Marilena
dc.contributor.authorTauraso, Michael
dc.date.accessioned2024-04-26T23:22:56Z
dc.date.available2024-04-26T23:22:56Z
dc.date.issued2024-04-26
dc.date.submitted2024
dc.descriptionThesis (Master's)--University of Washington, 2024
dc.description.abstractThe Laser Interferometer Space Antenna (LISA) mission is expected to detect many Ultra-Compact Binaries (UCBs) in the Milky Way galaxy. In order to link these observations to existing models of star formation and evolution, the spatial distribution of UCBs is an important target for LISA data analysis. In this work GBMCMC, an existing code that finds UCBs in LISA data, is extended to incorporate a Bayesian prior on the distance to UCBs from Earth using a simple model of the Milky Way. The effectiveness of this approach is analyzed using simulated data from the LISA Data Challenge.
dc.embargo.termsOpen Access
dc.format.mimetypeapplication/pdf
dc.identifier.otherTauraso_washington_0250O_26555.pdf
dc.identifier.urihttp://hdl.handle.net/1773/51397
dc.language.isoen_US
dc.rightsCC BY-NC-SA
dc.subjectLISA
dc.subjectMCMC
dc.subjectRJMCMC
dc.subjectPhysics
dc.subjectAstrophysics
dc.subjectComputational physics
dc.subject.otherPhysics
dc.titleBayesian Distance Prior in LISA Gravitational Wave Data Analysis
dc.typeThesis

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