113 citations · 817 across the 34 of their papers we have counts for
35 papers
Near-threshold Spectrum from Uniformized Mittag-Leffler Expansion -Pole Structure of -
Wren A. Yamada, Osamu Morimatsu, Toru Sato +1
We demonstrate how S-matrix poles manifest themselves as the physical spectrum near the upper threshold in the context of the two-channel uniformized Mittag-Leffler expansion, an e…
Classifying near-threshold enhancement using deep neural network
Denny Lane B. Sombillo, Yoichi Ikeda, Toru Sato +1
One of the main issues in hadron spectroscopy is to identify the origin of threshold or near-threshold enhancement. Prior to our study, there is no straightforward way of distingui…
Unveiling the pole structure of S-matrix using deep learning
Denny Lane B. Sombillo, Yoichi Ikeda, Toru Sato +1
Particle scattering is a powerful tool to unveil the nature of various subatomic phenomena. The key quantity is the scattering amplitude whose analytic structure carries the inform…
Model independent analysis of coupled-channel scattering: a deep learning approach
Denny Lane B. Sombillo, Yoichi Ikeda, Toru Sato +1
We develop a robust method to extract the pole configuration of a given partial-wave amplitude. In our approach, a deep neural network is constructed where the statistical errors o…
Neutron-neutron scattering length from photoproduction on the deuteron
Satoshi X. Nakamura, Takatsugu Ishikawa, Toru Sato
We discuss the possibility of extracting the neutron-neutron scattering length and effective range from cross section data (), as a function of…
Classifying Pole of Amplitude Using Deep Neural Network
Denny Lane B. Sombillo, Yoichi Ikeda, Toru Sato +1
Most of exotic resonances observed in the past decade appear as peak structure near some threshold. These near-threshold phenomena can be interpreted as genuine resonant states or…