Numerical Recovery of Source Singularities via the Radiative Transfer Equation with Partial Data
The inverse source problem for the radiative transfer equation is considered, with partial data. Here we demonstrate numerical computation of the normal operator X-V* X-V, where X-V is the partial data solution operator to the radiative transfer equation. The numerical scheme is based in part on a forward solver designed by Monard and Bal [J. Comput. Phys., 229 (2010), pp. 4952-4979]. We will see that one can detect quite well the visible singularities of an internal optical source f for generic anisotropic k and sigma, with or without noise added to the accessible data X-V f. In particular, we use a truncated Neumann series to estimate X-V and X-V* , which provides a good approximation of X-V* X-V with an error of higher Sobolev regularity. This paper provides a visual demonstration of the author's previous work [M. Hubenthal, Inverse Problems, 27 (2011), 125009] in recovering the microlocally visible singularities of an unknown source from partial data. We also give the theoretical analysis necessary to justify the smoothness of the remainder when approximating the normal operator.
radiative transfer equation partial data inverse problems microlocal analysis optical molecular imaging