Nevanlinna-Pick interpolation from uncertain data

The calculation of inclusive processes that involve the production of many particles is a challenge for lattice quantum chromodynamics (QCD), a Euclidean-space method that is far removed from real-time, multiparticle production. A new approach to this problem based on Nevanlinna-Pick interpolation has been proposed by Bergamaschi Here we extend their method by exploring the propagation of the statistical and systematic errors that accompany a lattice QCD calculation through this interpolation process. A simplified example of a multiparticle spectral function is studied with a focus on the possible applications of these methods to the calculation of inclusive heavy-particle decays.

Authors

Institutions

Publication Details

Journal
Physical review. D/Physical review. D.
Published
2026-01-12
DOI
https://doi.org/10.1103/brwx-k3xf
Primary Topic
Fuzzy Systems and Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Nevanlinna-Pick interpolation from uncertain data

N. H. Christ, Anonymous
Physical review. D/Physical review. D.
Fuzzy Systems and Optimization
article

Nevanlinna-Pick interpolation from uncertain data

N. H. Christ, Anonymous
article en

Abstract

The calculation of inclusive processes that involve the production of many particles is a challenge for lattice quantum chromodynamics (QCD), a Euclidean-space method that is far removed from real-time, multiparticle production. A new approach to this problem based on Nevanlinna-Pick interpolation has been proposed by Bergamaschi Here we extend their method by exploring the propagation of the statistical and systematic errors that accompany a lattice QCD calculation through this interpolation process. A simplified example of a multiparticle spectral function is studied with a focus on the possible applications of these methods to the calculation of inclusive heavy-particle decays.

Physical review. D/Physical review. D.Vol. 113(5)
Columbia University (US)
Openalex Percentile: Top 91%
Fuzzy Systems and Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.