Browsing by Author "TAPIA SAN MARTÍN, ENZO NICOLÁS"
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Thesis CONVERSIÓN DE PROTOCOLO MODBUS A PROFIBUS MEDIANTE CONVERSOR PKV30-DPS(Universidad Técnica Federico Santa María, 2010) TAPIA SAN MARTÍN, ENZO NICOLÁS; MARÍN RAMÍREZ, TATIANA; Universidad Técnica Federico Santa María. UTFSM. Sede Viña. Técnico Universitario en ElectrónicaThesis DETERMINACIÓN DE LOS PARÁMETROS DE FRIED Y SEEING DE LAS TURBULENCIAS ATMOSFÉRICAS EN BASE A SIMULACIONES(Universidad Técnica Federico Santa María, 2016) TAPIA SAN MARTÍN, ENZO NICOLÁS; Universidad Tecnica Federico Santa Maria UTFSM DEPARTAMENTO DE ELECTRONICA; ESCARATE MONETTA, PEDRO; AGÜERO VÁSQUEZ, JUAN CARLOSUsing numerical methods, simulations and experimental data it is possible to improve parameter models of atmospheric turbulence, such as the Fried parameter and the Seeing. The method is based on the function approximation for the variance and standard deviation curves of the dierential movement of an image passing through two subaperture on the pupil of a telescope. Images are generated from a point source (laser) propagation, which passes through the various layers of the atmosphere and is projected in the mesosphere. This projection emulates the distorted image obtained at the surface of earth of an object located in outer space. This distortion is caused by the eect of atmospheric turbulence. To simulate turbulence, “Phase Screens” are generated using the Fast Fourier Transform (FFT) and following the laws of Kolmogorov eddies of atmospheric turbulence, which in the inertial subrange are statistically homogeneous and isotropic into small regions of space, this means that the properties such as refractive index and speed have stationary increments. The inertial subrange is given by the eddies of size between the “Inner Scale” and “Outer Scale”. The images that reach the pupil of the telescope, are separated on a plane to simulate the image of the same object passing through two or three dierent regions of atmospheric turbulence, it is also considered a wind speed for each layer of turbulence. After that, longitudinal and transverse variances of the intensity centroid are obtained for each image in the CCD (Charge-Coupled Device) sensor.
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