4 papers
Revisiting the pole structure with convolutional neural networks
Julius B. Pagayon, Vince Angelo A. Chavez, Denny Lane B. Sombillo
We revisit the long-standing ambiguity surrounding the complex pole structure of the resonance by reframing it as a classification problem for convolutional neural networ…
Line shape analysis of in reaction using convolutional neural network
Vince Angelo A. Chavez, Denny Lane B. Sombillo
Interpreting peaks or dips that appear in an invariant mass distribution is a recurring challenge in hadron physics. These enhancements can be ambiguous, especially near a two-hadr…
A Deep Learning Framework for Disentangling Triangle Singularity and Pole-Based Enhancements
Darwin Alexander O. Co, Vince Angelo A. Chavez, Denny Lane B. Sombillo
Enhancements in the invariant mass distribution or scattering cross-section are usually associated with resonances. However, the nature of exotic signals found near hadron-hadron t…
Pole structure of via machine learning and uniformized S-matrix
Leonarc Michelle Santos, Vince Angelo A. Chavez, Denny Lane B. Sombillo
We probed the pole structure of the using a trained deep neural network. The training dataset was generated using uniformized independent S-matrix poles to ens…