Speaker
            
    Ryan Abbott
        
            (Columbia University)
        
    Description
Methods based on analyticity, such as Nevanlinna-Pick interpolation, have the promise of providing rigorous constraints on real-time observables (e.g. spectral functions), assuming only causal consistency of the underlying euclidean data. In this talk, I will review recently discovered connections between Nevanlinna-Pick interpolation and moment problems, which provide a discrete euclidean time analog to Nevanlinna-Pick interpolation for reconstructing spectral functions, as well connections to Krylov-space methods for correlator analyses (Lanczos/Rayleigh-Ritz).
| Parallel Session (for talks only) | Theoretical developments and applications beyond Standard Model | 
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