Espectroscopia de terahercios en el dominio del tiempo para el análisis de materiales con Python

Luis Quiroz-Burga, Jimy Oblitas-Cruz

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

The characterization of dielectric and spectral properties generated by THZ spectroscopy is important to ensure the success of the analysis of biological-origin materials, such as food. Currently, there is a lack of open-source tools to collect and analyze this THZ frequency scan data. The research shows an application in the form of Python code, which shows a user interface containing functionalities of multi-pixel spectroscopy analysis in the two-dimensional space of the images contained in a single multidimensional dataset, the manipulation and application of algorithms for the treatment of THz images and the generation of image sequences, and the evolution of the penetration of THz radiation in video. These functionalities allow researchers to easily identify properties and features in samples through a low-cost application.

Título traducido de la contribuciónTerahertz time-domain spectroscopy for material analysis with Python
Idioma originalEspañol
Título de la publicación alojada19th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology
Subtítulo de la publicación alojada"Prospective and Trends in Technology and Skills for Sustainable Social Development" and "Leveraging Emerging Technologies to Construct the Future", LACCEI 2021 - Proceedings
EditoresMaria M. Larrondo Petrie, Luis Felipe Zapata Rivera, Catalina Aranzazu-Suescun
ISBN (versión digital)9789585207189
DOI
EstadoPublicada - 2021
Evento19th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology: "Prospective and Trends in Technology and Skills for Sustainable Social Development" and "Leveraging Emerging Technologies to Construct the Future", LACCEI 2021 - Virtual, Online
Duración: 19 jul. 202123 jul. 2021

Serie de la publicación

NombreProceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
Volumen2021-July
ISSN (versión digital)2414-6390

Conferencia

Conferencia19th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology: "Prospective and Trends in Technology and Skills for Sustainable Social Development" and "Leveraging Emerging Technologies to Construct the Future", LACCEI 2021
CiudadVirtual, Online
Período19/07/2123/07/21

Palabras clave

  • Dielectric and spectral properties
  • Python
  • Terahertz spectroscopy

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