Julius B. Pagayon

collaborators

2 papers

hep-ph2026

Revisiting the $Λ (1405)$ 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 $Λ (1405)$ resonance by reframing it as a classification problem for convolutional neural networ…

hep-ph2026

Deep learning topological inference-guided $T_{cc}^{+}$ pole parameter extraction

Julius B. Pagayon, Klarence Tomas R. Cervantes, Denny Lane B. Sombillo

We perform a data-driven study of the doubly charmed tetraquark candidate $T_{cc}^{+}$ . An ensemble of deep neural network classifiers, trained on synthetic amplitudes with controlle…

Revisiting the Λ(1405) pole structure with convolutional neural networks

Deep learning topological inference-guided Tcc+​ pole parameter extraction

Revisiting the $Λ (1405)$ pole structure with convolutional neural networks

Deep learning topological inference-guided $T_{cc}^{+}$ pole parameter extraction