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We present a summary of the flavor composition measurements for the diffuseastrophysical neutrino flux using data from the IceCube Neutrino Observatory atthe South Pole. IceCube has identified candidate astrophysical tau neutrinosthrough two different approaches. One approach used a dedicated particleidentification algorithm for the classification and reconstruction of the'Double Cascade' event topology, a signature of tau neutrino charged currentinteractions. This first approach is applied to the High Energy Starting Events(HESE) sample, an all-sky, all-flavor set of neutrino events with energy above60~TeV encompassing 12 years of IceCube livetime. We show that the addition ofmore years of data and updated ice properties on the HESE sample deliverstighter constraints on the flavor composition of the astrophysical neutrinoflux than previous IceCube analyses, in particular when it is fit incombination with high statistics samples of through-going tracks and cascades.A second approach uses a sensitive machine-learning-based selection techniquethat finds seven candidate events in 9.7 years of IceCube data. This approachexcludes the zero astrophysical tau neutrino hypothesis at the higheststatistical significance to date.

Summary of IceCube Tau Neutrino Searches and Flavor Composition Measurements of the Diffuse Astrophysical Neutrino Flux