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In this talk, we will show a stability estimate going from the Radon transform of a function with limited angle-distance data to the $L^p$ norm of the function itself, under some conditions on the support of the function. This estimate was originally motivated by the study of the stability for the inverse Calder\'on problem with partial data. The Segal-Bargmann transform. often called FBI transform, is one of the main tools to obtain our estimate. |
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