Mass composition classification of extensive air showers at CTAO via Monte Carlo simulations and machine learning (2025)
- Autor:
- Autor USP: RABELO, EDUARDO FONSECA - IFSC
- Unidade: IFSC
- Subjects: APRENDIZADO COMPUTACIONAL; FÍSICA COMPUTACIONAL; ASTROFÍSICA; MÉTODO DE MONTE CARLO
- Language: Inglês
- Imprenta:
- Publisher: International Centre for Theoretical Physics, South American Institute for Fundamental Research - ICTP-SAIFR
- Publisher place: São Paulo
- Date published: 2025
- Source:
- Título: Program
- Conference titles: CLAF/ICTP-SAIFR Latin-American Astroparticle Physics School
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ABNT
RABELO, Eduardo Fonseca. Mass composition classification of extensive air showers at CTAO via Monte Carlo simulations and machine learning. 2025, Anais.. São Paulo: International Centre for Theoretical Physics, South American Institute for Fundamental Research - ICTP-SAIFR, 2025. Disponível em: https://repositorio.usp.br/directbitstream/378447b6-af38-41a1-9694-e8251cd9c0a7/3266949.pdf. Acesso em: 01 jan. 2026. -
APA
Rabelo, E. F. (2025). Mass composition classification of extensive air showers at CTAO via Monte Carlo simulations and machine learning. In Program. São Paulo: International Centre for Theoretical Physics, South American Institute for Fundamental Research - ICTP-SAIFR. Recuperado de https://repositorio.usp.br/directbitstream/378447b6-af38-41a1-9694-e8251cd9c0a7/3266949.pdf -
NLM
Rabelo EF. Mass composition classification of extensive air showers at CTAO via Monte Carlo simulations and machine learning [Internet]. Program. 2025 ;[citado 2026 jan. 01 ] Available from: https://repositorio.usp.br/directbitstream/378447b6-af38-41a1-9694-e8251cd9c0a7/3266949.pdf -
Vancouver
Rabelo EF. Mass composition classification of extensive air showers at CTAO via Monte Carlo simulations and machine learning [Internet]. Program. 2025 ;[citado 2026 jan. 01 ] Available from: https://repositorio.usp.br/directbitstream/378447b6-af38-41a1-9694-e8251cd9c0a7/3266949.pdf
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