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SUMMARY:Ryan Abbott\, Columbia\, [HET Seminar] Bootstrapping spectral func
 tions
DTSTART:20260226T160000Z
DTEND:20260226T180000Z
DTSTAMP:20260311T042300Z
UID:indico-event-30692@indico.bnl.gov
DESCRIPTION:The problem of reconstructing spectral densities from noisy Eu
 clidean-time Monte-Carlo data provides a valuable test-bed for investigati
 ng real-time and inclusive observables\, and sign problems more broadly. I
 n this talk\, I will discuss new methods for spectral reconstructions that
  unify several approaches\, including analyticity-based approaches (Nevanl
 inna-Pick interpolation\, moment problems)\, convex programming approaches
 \, and the commonly used Hansen\, Lupo\, and Tantalo (HLT) method. These m
 ethods use tools originally developed for the conformal bootstrap in order
  to provide rigorous bounds on smeared spectral functions\, and are direct
 ly applicable to noisy Monte-Carlo data.  I will review the methods and t
 heir relations\, and also discuss potential future directions.\n \nhttps:
 //bnl.zoomgov.com/j/16010362754?pwd=Z1l1SS9JUDlyR1hSUHNyaDV1dTZHUT09 \n\n
 https://indico.bnl.gov/event/30692/
LOCATION:Small Seminar Room
URL:https://indico.bnl.gov/event/30692/
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