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Hauptverfasser: Dong, Xiang, Pan, Chu-Cheng, Sun, Yu-Chang, Cheng, Ao-Yan, Wang, Ao-Bo, Cai, Hao, Zhu, Kai
Format: Preprint
Veröffentlicht: 2023
Schlagworte:
Online-Zugang:https://arxiv.org/abs/2309.14740
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author Dong, Xiang
Pan, Chu-Cheng
Sun, Yu-Chang
Cheng, Ao-Yan
Wang, Ao-Bo
Cai, Hao
Zhu, Kai
author_facet Dong, Xiang
Pan, Chu-Cheng
Sun, Yu-Chang
Cheng, Ao-Yan
Wang, Ao-Bo
Cai, Hao
Zhu, Kai
contents To resolve the non-convex optimization problem in partial wave analysis, this paper introduces a novel approach that incorporates fraction constraints into the likelihood function. This method offers significant improvements in both the efficiency of pole searching and the reliability of resonance selection within partial wave analysis.
format Preprint
id arxiv_https___arxiv_org_abs_2309_14740
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Fraction Constraint in Partial Wave Analysis
Dong, Xiang
Pan, Chu-Cheng
Sun, Yu-Chang
Cheng, Ao-Yan
Wang, Ao-Bo
Cai, Hao
Zhu, Kai
High Energy Physics - Experiment
To resolve the non-convex optimization problem in partial wave analysis, this paper introduces a novel approach that incorporates fraction constraints into the likelihood function. This method offers significant improvements in both the efficiency of pole searching and the reliability of resonance selection within partial wave analysis.
title Fraction Constraint in Partial Wave Analysis
topic High Energy Physics - Experiment
url https://arxiv.org/abs/2309.14740