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Computational techniques for high energy astrophysics and medical image processing

Published online by Cambridge University Press:  01 August 2025

Nicolás Vásquez*
Affiliation:
Physics Department, Escuela Politécnica Nacional
Jennifer Ortega
Affiliation:
Physics Department, Escuela Politécnica Nacional
David Erazo
Affiliation:
Physics Department, Escuela Politécnica Nacional
Ricardo Caiza
Affiliation:
Physics Department, Escuela Politécnica Nacional
Orlando Gutiérrez
Affiliation:
Physics Department, Escuela Politécnica Nacional

Abstract

We present two studies where astrophysics and computational techniques are applied to astroparticle physics and medical image processing. The first one is the use of software as Corsika, Gammapy, Astropy and ARTI to identify potential sites to study astroparticles physics in Ecuador. We determine the secondary particle fluence and M1 signal at different locations, and we calculated the effective area of a prototype Water Cherenkov Detector (WCD) in Quito. The second work is the manipulation of medical images using python and PyDICOM libraries.Aiming to explore the Computer Aided Detection (CAD) systems for the automated detection of numerous lung diseases. We develop a tool for extracting information from DICOM files more efficiently. A second tool consists of a lung segmentation technique for computed tomography images.These works shows the versatility of the computational tools encouraging young researchers to explore and further develop the use of such tools in other areas.

Information

Type
Poster Paper
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of International Astronomical Union

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References

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