Teaching advanced particle physics concepts such as the Higgs boson and gauge bosons has long been a persistent challenge in higher education. Traditional lecture-based approaches often limit students’ ability to visualize the complex principles of quantum field theory. This paper addresses these issues by integrating computational physics and interactive visualization into the learning process. Using Python as the primary tool, we developed a series of 3D models that simulate the behavior and properties of fundamental particles and fields. The models include electromagnetic waves representing photons, color flux tubes depicting gluon confinement, Yukawa-type short-range potentials characterizing the W and Z bosons, and the Mexican-hat potential illustrating the Higgs field and the essence of spontaneous symmetry breaking.

These simulations were built with widely used Python libraries such as NumPy, Matplotlib, and Plotly. The results highlight several pedagogical advantages. First, interactive modeling enables students to construct clear mental models of complex theories, such as how W/Z bosons mediate short-range forces compared to the infinite range of the photon. Second, the ability to manipulate visualizations enhances motivation and engagement, aligning with research showing that interactivity improves learning and deepens understanding. Third, this approach fosters computational thinking, which is becoming an increasingly essential skill in both scientific research and education.

Physics education, Python, Higgs boson, gauge bosons, visualization, Mexican-hat potential, computational modeling

ATLAS Collaboration (2022). A detailed map of Higgs boson interactions by the ATLAS experiment ten years after the discovery. Nature, 607, 52–59

Bitzenbauer, P., & Fösel, A. (2025). Analysis of pre-service physics teachersʼ mental models of and reasoning about the Higgs boson using the SOLO taxonomy. Eurasia Journal of Mathematics, Science and Technology Education, 21(10), e2706

Banda, H. J., & Nzabahimana, J. (2023). The Impact of Physics Education Technology (PhET) Interactive Simulation-Based Learning on Motivation and Academic Achievement Among Malawian Physics Students. Journal of Science Education and Technology, 32(1), 127-141

Diblen, F., Hendriks, L., Caron, S., Stienen, B., Bakhshi, R., & Attema, J. (2021). Interactive Web-Based Visualization of Multidimensional Physical and Astronomical Data. Frontiers in Big Data, 4:626998

Feickert, M., Hartmann, N., Heinrich, L., Held, A., Kourlitis, V., Krumnack, N., Stark, G., Vigl, M., & Watts, G. (2024). How the Scientific Python ecosystem helps answer fundamental questions of the Universe. In Proceedings of SciPy 2024

Banda, H. J., & Nzabahimana, J. (2023). The impact of PhET interactive simulation-based learning on motivation and achievement of Malawian physics students. Journal of Science Education and Technology, 32, 127–141

. Jasur Jamolov. Using phet Simulations to Teach the Electric Field Concept in Secondary School Physics // American journal of education and learning ISSN: 2996-5128 (online) | ResearchBib (IF) = 10.91 Impact factor Volume-3| Issue-5| 2025 Published: |31-5-2025|.

. Jasur Jamolov. Enhancing conceptual understanding of electric transformers through innovative educational technologies// American journal of education and learning ISSN: 2996-5128 (online) | ResearchBib (IF) = 10.91 Impact factor Volume-3| Issue-6| 2025 Published: |3-6-2025|.

. Jasur Jamolov. Transformer: operating principle and its types// American journal of education and learning ISSN: 2996-5128 (online) | ResearchBib (IF) = 10.91 Impact factor Volume-3| Issue-6| 2025 Published: |3-6-2025|.

. Kurbanov Mirzaahmad ,Jamolov Jasur. Developing studentsʼ scientific mindset in teaching physics // International journal of artificial intelligence ISSN: 2692-515X (online) | ResearchBib (IF) = 12.23 Impact factor Volume-05| Issue-09| 2025 Published: |20-9-2025|. P. 742-746