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Physics#Nuclear Physics, Particle Physics🔬 ResearchAnalyzed: Jan 3, 2026 19:13

Unified Study of Nucleon Electromagnetic Form Factors

Published:Dec 28, 2025 23:11
1 min read
ArXiv

Analysis

This paper offers a comprehensive approach to understanding nucleon electromagnetic form factors by integrating different theoretical frameworks and fitting experimental data. The combination of QCD-based descriptions, GPD-based contributions, and vector-meson exchange provides a physically motivated model. The use of Padé-based fits and the construction of analytic parametrizations are significant for providing stable and accurate descriptions across a wide range of momentum transfers. The paper's strength lies in its multi-faceted approach and the potential for improved understanding of nucleon structure.
Reference

“The combined framework provides an accurate and physically motivated description of nucleon structure within a controlled model-dependent setting across a wide range of momentum transfers.”

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Review Paper#Cosmology, Primordial Black Holes, Phase Transitions🔬 ResearchAnalyzed: Jan 3, 2026 19:21

Primordial Black Hole Formation from Phase Transitions: A Review

Published:Dec 28, 2025 16:18
1 min read
ArXiv

Analysis

This paper provides a concise review of primordial black hole (PBH) formation mechanisms originating from first-order phase transitions in the early universe. It's valuable for researchers interested in PBHs and early universe cosmology, offering a consolidated overview of various model-dependent and independent mechanisms. The inclusion of model-specific examples aids in understanding the practical implications of these mechanisms.
Reference

“The paper reviews the creation mechanism of primordial black holes from first order phase transitions.”

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Research Paper#Philosophy of Physics🔬 ResearchAnalyzed: Jan 3, 2026 19:55

Determinism vs. Indeterminism: A Representational Issue

Published:Dec 27, 2025 09:41
1 min read
ArXiv

Analysis

This paper challenges the traditional view of determinism and indeterminism as fundamental ontological properties in physics. It argues that these are model-dependent features, and proposes a model-invariant ontology based on structural realism. The core idea is that only features stable across empirically equivalent representations should be considered real, thus avoiding problems like the measurement problem and the conflict between determinism and free will. This approach emphasizes the importance of focusing on the underlying structure of physical systems rather than the specific mathematical formulations used to describe them.
Reference

“The paper argues that the traditional opposition between determinism and indeterminism in physics is representational rather than ontological.”

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Physics#High Energy Physics, Artificial Neural Networks🔬 ResearchAnalyzed: Jan 4, 2026 00:15

ANN for Diffractive J/ψ Production at HERA

Published:Dec 25, 2025 14:56
1 min read
ArXiv

Analysis

This paper uses an Artificial Neural Network (ANN) to analyze data from the HERA experiment on coherent diffractive J/ψ production. The authors aim to provide a model-independent analysis, overcoming limitations of traditional model-dependent approaches. They predict differential cross-sections and extend the model to include LHC data, extracting the exponential slope 'b' and analyzing its dependence on kinematic variables. This is significant because it offers a new, potentially more accurate, way to analyze high-energy physics data and extract physical parameters.
Reference

“The authors find that the exponential slope 'b' strongly depends on $Q^2$ and $W$.”

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