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Recolector de Ciencia Abierta, RECOLECTA
Bachelor thesis . 2021
License: CC BY NC ND
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Recolector de Ciencia Abierta, RECOLECTA
Bachelor thesis . 2021
License: CC BY NC ND
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
UCrea
Bachelor thesis . 2021
License: CC BY NC ND
Data sources: UCrea
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Procesado de imágenes para detección de exoplanetas

Image processing for exoplanets detection
Authors: Iglesias Rumazo, Carlos;

Procesado de imágenes para detección de exoplanetas

Abstract

RESUMEN: La luz captada por telescopios terrestres proveniente de estrellas y planetas se ve normalmente afectada por fluctuaciones en el Índice de refracción de ciertas capas de la atmósfera. Esta situación introduce aberraciones en el frente de onda lo cual reduce la calidad de las imágenes astronómicas y dificulta su análisis. El presente trabajo intenta mejorar los resultados de la técnica de lucky imaging de corrección de imágenes. Con este objetivo se han desarrollado varios algoritmos novedosos basados en dicho método para aumentar la capacidad de procesado del mismo, permitiendo de este modo detectar planetas poco brillantes, incluyendo aquellos situados en la zona de habitabilidad de su estrella. Los algoritmos desarrollados permiten obtener buenos resultados; ampliando la capacidad de procesado y corrección del método lucky imaging y, consecuentemente, incrementando la capacidad de detección de objetos muy poco brillantes.

ABSTRACT: The light captured by ground-based telescopes from stars and planets is generally affected by fluctuations in the refractive index of particular atmosphere’s layers. This situation introduces aberrations in the wavefront reducing the quality of astronomical images making them more difficult to analyse. The present work tries to improve the results obtained with the lucky imaging technique for image correction. With this objective in mind, several novel algorithms have been developed based on this method to increase its processing capacity, thus allowing it to detect dimmer planets, including those located in their star’s habitable zone. The algorithms developed allow to obtain good results: expanding the processing and correction capacity of the lucky imaging method and, consequently, increasing the detection capacity of very dim objects.

Grado en Física

Country
Spain
Related Organizations
Keywords

Exoplanetas, Speckle, Procesado de imágenes astronómicas, Exoplanets, Astronomical images processing, Lucky imaging

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
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