<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-27T22:05:09Z</responseDate><request verb="GetRecord" identifier="oai:uvadoc.uva.es:10324/70949" metadataPrefix="dim">https://uvadoc.uva.es/oai/request</request><GetRecord><record><header><identifier>oai:uvadoc.uva.es:10324/70949</identifier><datestamp>2024-10-25T19:03:03Z</datestamp><setSpec>com_10324_38</setSpec><setSpec>col_10324_852</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
<dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="es" authority="575568e9-0c49-44af-86fd-487025fb0135" confidence="600" orcid_id="">González Hernández, Manuel Luis</dim:field>
<dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="es" authority="1fd1ff20c414c6bd" confidence="600" orcid_id="0000-0001-9559-2851">Molina Martín, Luis Miguel</dim:field>
<dim:field mdschema="dc" element="contributor" qualifier="author" authority="2002a853-03e1-44e9-8375-d7dc39d7a44b" confidence="600" orcid_id="">Franco Hernando, Miguel</dim:field>
<dim:field mdschema="dc" element="contributor" qualifier="editor" lang="es" authority="EDUVA45" confidence="600" orcid_id="">Universidad de Valladolid. Facultad de Ciencias</dim:field>
<dim:field mdschema="dc" element="date" qualifier="accessioned">2024-10-25T14:40:24Z</dim:field>
<dim:field mdschema="dc" element="date" qualifier="available">2024-10-25T14:40:24Z</dim:field>
<dim:field mdschema="dc" element="date" qualifier="issued">2024</dim:field>
<dim:field mdschema="dc" element="identifier" qualifier="uri">https://uvadoc.uva.es/handle/10324/70949</dim:field>
<dim:field mdschema="dc" element="description" qualifier="abstract" lang="es">El objetivo de este trabajo es diseñar un dispositivo experimental capaz&#xd;
de detectar rayos cósmicos mediante deep learning. De esta manera, en primer lugar, se presenta una introducción a los rayos cósmicos y las cascadas&#xd;
atmosféricas, esenciales para la caracterización del objeto de estudio. Por&#xd;
otro lado, se introducen los sensores CCD (charged-coupled device) como&#xd;
medio para realizar detecciones de partículas cargadas. Posteriormente se&#xd;
muestra el dataset de entreno y el modelo de IA empleado en el dispositivo,&#xd;
detallando todo el proceso seguido durante su desarrollo. Para finalizar, se&#xd;
presenta el dispositivo físico con el que se ha desplegado el modelo y recogido&#xd;
las detecciones. Por último, se analizan los resultados obtenidos durante la&#xd;
experimentación, analizando la validez del dispositivo experimental.</dim:field>
<dim:field mdschema="dc" element="description" qualifier="abstract" lang="es">The aim of this work is to design an experimental device capable of detecting cosmic rays using deep learning. Firstly, an introduction to cosmic&#xd;
rays and atmospheric cascades is presented, essential for characterizing the&#xd;
object of study. On the other hand, CCD (charged-coupled device) sensors&#xd;
are introduced as a means to detect charged particles. Subsequently, the training dataset and the AI model used in the device are shown, detailing the&#xd;
entire process followed during its development. Finally, the physical device&#xd;
with which the model has been deployed and detections have been collected is&#xd;
presented. Lastly, the results obtained during experimentation are analyzed,&#xd;
assessing the validity of the experimental device.</dim:field>
<dim:field mdschema="dc" element="description" qualifier="sponsorship" lang="es">Departamento de Física Teórica, Atómica y Óptica</dim:field>
<dim:field mdschema="dc" element="description" qualifier="degree" lang="es">Grado en Física</dim:field>
<dim:field mdschema="dc" element="format" qualifier="mimetype" lang="es">application/pdf</dim:field>
<dim:field mdschema="dc" element="language" qualifier="iso" lang="es">spa</dim:field>
<dim:field mdschema="dc" element="rights" qualifier="accessRights" lang="es">info:eu-repo/semantics/openAccess</dim:field>
<dim:field mdschema="dc" element="rights" qualifier="uri" lang="*">http://creativecommons.org/licenses/by-nc-nd/4.0/</dim:field>
<dim:field mdschema="dc" element="rights" lang="*">Attribution-NonCommercial-NoDerivatives 4.0 Internacional</dim:field>
<dim:field mdschema="dc" element="subject" qualifier="classification" lang="es">Detección de rayos cósmicos</dim:field>
<dim:field mdschema="dc" element="subject" qualifier="classification" lang="es">Deep learning</dim:field>
<dim:field mdschema="dc" element="subject" qualifier="classification" lang="es">Muon</dim:field>
<dim:field mdschema="dc" element="title" lang="es">Detección de rayos cósmicos mediante deep learning. Diseño y desarrollo del dispositivo experimental</dim:field>
<dim:field mdschema="dc" element="type" lang="es">info:eu-repo/semantics/bachelorThesis</dim:field>
</dim:dim></metadata></record></GetRecord></OAI-PMH>