Fraction Constraint in Partial Wave Analysis
Xiang Dong, Chu-Cheng Pan, Yu-Chang Sun, Ao-Yan Cheng, Ao-Bo Wang, Hao, Cai, Kai Zhu

TL;DR
This paper presents a new method for partial wave analysis that integrates fraction constraints into the likelihood function, enhancing the efficiency and reliability of resonance identification.
Contribution
It introduces a novel approach that incorporates fraction constraints into the likelihood function to improve partial wave analysis.
Findings
Enhanced efficiency in pole searching
Improved reliability of resonance selection
Effective handling of non-convex optimization
Abstract
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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsPhotonic and Optical Devices · Blind Source Separation Techniques
