Research

As the national university, we champion and support innovative research that addresses the country’s most pressing challenges.

30 Apr 2025

Researchers propose a modified inelastic bouncing ball model that includes collision time between the ball and its container

The behavior of granular materials subjected to shaking or vibration remains a complex puzzling phenomenon. A reliable strategy in science...

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25 Apr 2025

A method has been developed to determine the minimum aperture size that a digital micromirror device can accurately render

A digital micromirror device (DMD) is a programmable pixelated instrument that uses an array of tiny individually switchable mirrors as...

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25 Apr 2025

China’s projects aim not only to compete with the US but also to bring about positive change

This research looks at how China is becoming more influential in the world through projects like the Belt and Road...

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24 Apr 2025

Non-democratic states, even if they perform well in sports, receive less media attention than democratic countries

In this study, Panao and Gache delve into the fascinating world of sports and its connection to global politics. Essentially,...

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15 Apr 2025

Survivors of the 1974 Battle of Jolo wish to forget the tragedy but their memories expose the recent struggles of Muslim Mindanao

Moving beyond the disinformation surrounding Filipino memory construction of martial law this study delves into the experiences of civilians during...

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11 Apr 2025

This study of the largest fast food group in the Philippines acquiring its competition adds to the limited, but growing, inventory of business case studies

This case is about the acquisition by the largest quick service restaurant (QSR) group in the Philippines, Jollibee Foods Corporation...

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25 Mar 2025

Tracing Darna’s roots in Filipino folk culture challenges the typically male-centered Western superhero genre

Power is one of the most distinguishing features of the superhero genre. In this regard, one of the most recognizable...

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18 Mar 2025

UP Manila

The clustering of tuberculosis cases could be linked to the El Niño phenomenon

This study focused on tuberculosis (TB) cases in Region III of the Philippines for the years 2019, 2020, and 2021,...

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17 Mar 2025

Perceived factors to teenage pregnancy such as technological influence influence the manner of delivering services

Teenage pregnancy remains to be a major concern in the health of Filipino adolescents despite the nationwide adoption of sexual...

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07 Mar 2025

UP Open University

Research uncovers new information on the voice of the Philippine flat-headed frog found only in Palawan

This study describes the call of Barbourula busuangensis, a peculiar and elusive fully aquatic frog endemic to the Palawan archipelago of...

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07 Mar 2025

UP Manila

High levels of body association lowers the risk of depression, anxiety and stress among Filipino emerging adults

Among Filipino emerging adults, prevalence rates of severe and extreme levels of depression, anxiety, and stress are relatively high. High...

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07 Mar 2025

Research uncovers new information on the voice of the Philippine flat-headed frog found only in Palawan

This study describes the call of Barbourula busuangensis, a peculiar and elusive fully aquatic frog endemic to the Palawan archipelago...

Read More

Research

We investigated a peak signal around MeV in the invariant mass spectrum, which has intrigued physicists as a potential candidate for a pentaquark, an exotic hadron yet to be fully understood or categorized. Despite numerous studies, there is no consensus on the signal’s quantum properties or its physical interpretation. To address this, we adopted a novel approach combining lineshape pole analysis and machine learning. Using a carefully prepared dataset, we trained a neural network to study the signal’s shape and identify its underlying structure. This approach minimized bias and included often-overlooked effects, making the analysis more robust. Our model suggests, with 79% accuracy, that the signal arises from three key components, known as “poles,” which describe its nature. This is the first report of such a structure for this signal and aligns with a theoretical hybrid model proposed in 2017. These findings offer a new perspective on the signal,using the three-pole structure as a foundation for future studies. While not definitive proof, our work highlights the promise of machine learning in advancing hadron physics. By demonstrating the potential of machine learning to uncover complex structures in experimental data, this study opens new avenues for investigating other unresolved phenomena and refining our understanding of the subatomic world.

Classifying signal enhancements near energy thresholds in invariant mass distributions is a complex task, often requiring extensive experimental data for unambiguous interpretation. These enhancements may correspond to a resonance, a quasi-bound state, a virtual state, or merely a manifestation of a singularity. In 2019, the pentaquark candidate was studied extensively and assigned various interpretations and quantum numbers. However, these interpretations, sometimes conflicting, could still fit the experimental data. Resolving this ambiguity typically involves identifying the signal in other interactions—a process that is costly in terms of finances, time, and human resources.

Our work provides an alternative approach to analyzing the 4312 signal. We employed deep neural networks and machine learning techniques to classify the pole structure of . The pole structure of a signal is a strong indicator of its true nature. In this study, we trained a neural network model using line shape amplitudes constructed solely from the first principles of the S-matrix. This approach ensured that the training dataset was minimally biased. Subsequently, we bootstrapped the experimental data and applied the trained model to determine the pole structure of the 4312 signal.

Our results present the first evidence of a three-pole structure for the signal, with an accuracy of 79%. This finding aligns with a general hybrid model proposed in 2017. While our results are not definitive, they demonstrate the potential and efficacy of machine learning in analyzing line shape amplitudes. This underscores the need for further development of our methodology. Moreover, our findings could serve as the foundation for a new dynamical model to explain the 4312 signal.

Authors: Leonarc Michelle Santos, Vince Angelo A. Chavez and Denny Lane B. Sombillo (National Institute of Physics, University of the Philippines Diliman)

Read the full paper: https://doi.org/10.1088/1361-6471/ad8ee3