Deep neural network driven simulation based inference method for pole position estimation under model misspecification
Abstract
The method of simulation based inference is shown to lead to a more accurate resonance parameter estimation than traditional χ 2 minimization in certain cases of model misspecification in a case-study of π π scattering and the ρ ( 770 ) -resonance. Models fit to certain datasets using χ 2 minimization can make inaccurate predictions for the pole position of the ρ ( 770 ) . Simulation based inference (SBI) is shown to make a more robust predictions for the pole positions. This is significant, both as a proof of concept that the SBI method can be used in cases of model misspecification, and because models of π π scattering are a crucial part to many physical systems of contemporary interest [ a 1 ( 1260 ) , ω ( 782 ) etc.].
Fields of Study & Subjects
Inertial Sensor and Navigation
Statistical and numerical algorithms
Direction-of-Arrival Estimation Techniques
Publication details
- Journal / source
- Physical review. D/Physical review. D.
- Publisher
- American Physical Society (APS)
- Volume
- 114
- Issue
- 1
- Publication date
- 16 June 2026
- Language
- EN