  This note proposes a new algorithm for estimating spectral function from
limited noisy Matsubara data. We consider both the molecule and condensed
matter cases. In each case, the algorithm constructs an interpolant of the
Matsubara data and uses conformal mapping and Prony's method to estimate the
spectral function. Numerical results are provided to demonstrate the
performance of the algorithm.
