bayesian analysis of interferometric data (arxiv:1109.4640) paul m. sutter benjamin wandelt,...
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![Page 1: Bayesian analysis of interferometric data (arXiv:1109.4640) paul m. sutter benjamin wandelt, siddarth malu paris institute of astrophysics university of](https://reader034.vdocuments.mx/reader034/viewer/2022051622/5697bf791a28abf838c82647/html5/thumbnails/1.jpg)
bayesian analysis
ofinterferometric
data(arXiv:1109.4640)
paul m. sutterbenjamin wandelt, siddarth malu
paris institute of astrophysicsuniversity of illinois at urbana-champaign
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mock observations
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signal primary beam
uv-plane data
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gibbs sampling
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extract variance
draw power spectrum realization
construct Wiener-
filtered map
add fluctuations consistent with noise
and spectrum
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advantages
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fast and scalable – O(np log np) joint analysis of spectrum and signal full exploration of uncertainties automatically accounts for beam free Wiener-filtered maps trivial marginalization straightforward foreground removal
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results – power spectrum
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results - map
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posterior meansignal
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results - map
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posterior mean
dirty map
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results – marginalized posteriors
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other applications
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primary beamsignal
posterior mean
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other applications
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future work
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multiple frequencies, polarization implemented
working on curved sky, foregrounds
developing point- and extended-source analysis
extending to 21 cm