Výsledky vyhledávání - "Muñoz, Jose M."

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Discovering Nuclear Models from Symbolic Machine Learning

Autor: Munoz, Jose M., Udrescu, Silviu M., Ruiz, Ronald F. Garcia

Numerous phenomenological nuclear models have been proposed to describe specific observables within different regions of the nuclear chart. However, developing a unified model that describes the complex behavior of all nuclei remains an open challeng

Externí odkaz: http://arxiv.org/abs/2404.11477

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Retrieval of Boost Invariant Symbolic Observables via Feature Importance

Autor: Munoz, Jose M, Batatia, Ilyes, Ortner, Christoph, Romeo, Francesco

Deep learning approaches for jet tagging in high-energy physics are characterized as black boxes that process a large amount of information from which it is difficult to extract key distinctive observables. In this proceeding, we present an alternati

Externí odkaz: http://arxiv.org/abs/2306.13496

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Predicting Beta Decay Energy with Machine Learning

Autor: Munoz, Jose M., Akkoyun, Serkan, Reyes, Zayda P., Pachon, Leonardo A.

$Q_\beta$ represents one of the most important factors characterizing unstable nuclei, as it can lead to a better understanding of nuclei behavior and the origin of heavy atoms. Recently, machine learning methods have been shown to be a powerful tool

Externí odkaz: http://arxiv.org/abs/2211.17136

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BIP: Boost Invariant Polynomials for Efficient Jet Tagging

Autor: Munoz, Jose M, Batatia, Ilyes, Ortner, Christoph

Deep Learning approaches are becoming the go-to methods for data analysis in High Energy Physics (HEP). Nonetheless, most physics-inspired modern architectures are computationally inefficient and lack interpretability. This is especially the case wit

Externí odkaz: http://arxiv.org/abs/2207.08272

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Five texture zeros in the lepton sector and neutrino oscillations at DUNE

Autor: Benavides, Richard H., Forero, D. V., Muñoz, Luis, Muñoz, Jose M., Rico, Alejandro, Tapia, A.

In this work, we have assumed special structures for the charged and neutral mass matrices in the lepton sector, inspired by structures for the up and down quark mass matrices that result by assuming a certain number of symmetrical zeros in their ent

Externí odkaz: http://arxiv.org/abs/2207.04072

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