Denny Lane B. Sombillo

collaborators

4 papers

hep-ph2025

Effects of closely spaced thresholds on line shapes with near-threshold enhancement

Exan John D. F. Carpio, Denny Lane B. Sombillo

Hidden-charm pentaquarks were first experimentally detected by LHCb in 2019, one of which is the exotic $P_{c c ˉ} (4312)^{+}$ state. The nature of this state remains uncertain w…

hep-ph2025

Feature extraction in partial wave analysis using $K$ -matrix approach

Adam B. Mapa, Denny Lane B. Sombillo

Structures in the invariant mass distribution are often linked to unstable intermediate states or resonances. In experiments, many signals are detected which have broad, overlappin…

hep-ph2025

Line shape analysis of $Λ (1405)$ in $γ p \to K^{+} Σ^{-} π^{+}$ 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…

hep-ph2024

Analysis of hidden-charm pentaquarks as triangle singularities via deep learning

Darwin Alexander O. Co, Denny Lane B. Sombillo

Identifying the nature of near-threshold enhancements is hindered by the limited resolution of experimental data leading to multiple conflicting interpretations. A prominent exampl…

Effects of closely spaced thresholds on line shapes with near-threshold enhancement

Feature extraction in partial wave analysis using K-matrix approach

Line shape analysis of Λ(1405) in γp→K+Σ−π+ reaction using convolutional neural network

Analysis of hidden-charm pentaquarks as triangle singularities via deep learning

Feature extraction in partial wave analysis using $K$ -matrix approach

Line shape analysis of $Λ (1405)$ in $γ p \to K^{+} Σ^{-} π^{+}$ reaction using convolutional neural network