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DC Field | Value | Language |
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dc.contributor.advisor | Andrade Weber, Tomás | - |
dc.contributor.advisor | Emparan García de Salazar, Roberto A. | - |
dc.contributor.author | Dana Ruiz, Abel | - |
dc.date.accessioned | 2023-07-20T10:46:58Z | - |
dc.date.available | 2023-07-20T10:46:58Z | - |
dc.date.issued | 2023-06 | - |
dc.identifier.uri | http://hdl.handle.net/2445/201012 | - |
dc.description | Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2023, Tutors: Tomás Andrade Weber, Roberto Emparan García de Salazar | ca |
dc.description.abstract | We use Machine Learning methods based on Convolutional Neural Networks to search for gravitational waves signals above the background noise distribution for a data set of simulated gravitational waves and real noise signals from three detectors (LIGO Hanford, LIGO Livingston, and Virgo). A training data set is used to train the ML method to classify data streams in two groups: gravitational wave plus noise (label 1) or only noise (label 0). Later, the method predicts if data streams from a testing data set belong to one or an other category. To generate the code that implements the CNN algorithm we use Generative Pre-trained Transformers, specifically ChatGPT based on GPT-3 and compare them to a human-made CNN. The ML methods are capable to detect gravitational waves if we give ChatGPT freedom to create a CNN without specifying the parameters or the architecture, but are not satisfactory if we try to direct ChatGPT to a specific type of code. | ca |
dc.format.extent | 7 p. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | ca |
dc.rights | cc-by-nc-nd (c) Dana, 2023 | - |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.source | Treballs Finals de Grau (TFG) - Física | - |
dc.subject.classification | Ones gravitacionals | cat |
dc.subject.classification | Aprenentatge automàtic | cat |
dc.subject.classification | Treballs de fi de grau | cat |
dc.subject.other | Gravitational waves | eng |
dc.subject.other | Machine learning | eng |
dc.subject.other | Bachelor's theses | eng |
dc.title | Detection of Gravitational Wave signals using Machine Learning methods and Generative Pre-trained Transformers | eng |
dc.type | info:eu-repo/semantics/bachelorThesis | ca |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | ca |
Appears in Collections: | Treballs Finals de Grau (TFG) - Física |
Files in This Item:
File | Description | Size | Format | |
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DANA RUÍZ ABEL_7999646.pdf | 448.42 kB | Adobe PDF | View/Open |
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