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master's thesis
Detecting Exoplanets Using Machine Learning and Radial Velocity Data
2024. urn:nbn:hr:166:810469
Režić, Ante
University of Split
Faculty of Science

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Režić, A. (2024). Detecting Exoplanets Using Machine Learning and Radial Velocity Data (Master's thesis). Split: University of Split, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:166:810469

Režić, Ante. "Detecting Exoplanets Using Machine Learning and Radial Velocity Data." Master's thesis, University of Split, Faculty of Science, 2024. https://urn.nsk.hr/urn:nbn:hr:166:810469

Režić, Ante. "Detecting Exoplanets Using Machine Learning and Radial Velocity Data." Master's thesis, University of Split, Faculty of Science, 2024. https://urn.nsk.hr/urn:nbn:hr:166:810469

Režić, A. (2024). 'Detecting Exoplanets Using Machine Learning and Radial Velocity Data', Master's thesis, University of Split, Faculty of Science, accessed 19 February 2025, https://urn.nsk.hr/urn:nbn:hr:166:810469

Režić A. Detecting Exoplanets Using Machine Learning and Radial Velocity Data [Master's thesis]. Split: University of Split, Faculty of Science; 2024 [cited 2025 February 19] Available at: https://urn.nsk.hr/urn:nbn:hr:166:810469

A. Režić, "Detecting Exoplanets Using Machine Learning and Radial Velocity Data", Master's thesis, University of Split, Faculty of Science, Split, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:166:810469

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Metadata
TitleDetecting Exoplanets Using Machine Learning and Radial Velocity Data
Title (croatian)Detektiranje egzoplaneta pomoću strojnog učenja i podataka radijalne brzine
AuthorAnte Režić
MentorDivna Krpan (mentor)
Committee memberDivna Krpan (predsjednik povjerenstva)
Committee memberNika Jerković (član povjerenstva)
Committee memberDino Nejašmić (član povjerenstva)
GranterUniversity of Split
Faculty of Science
Split
Defense date and country2024-09-27, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
The goal of this thesis is to create a system for generating synthetic data of the radial velocity of a star caused by the existence of an exoplanet. A machine learning model will be developed that will recognize the existence of planetary signals from synthetic periodogram data. The model will then be validated on real data. This thesis will provide a developmental step for the development of deep learning systems for the growing field of exoplanet detection.
Abstract (croatian)
Cilj je ovoga rada kreirati sustav generiranja sintetskih podataka radijalne brzine zvijezde izazvane postojanjem egzoplaneta. Razviti će se model strojnog učenja koji će iz sintetskih periodogramskih podataka prepoznavati postojanje planetarnih signala. Model će se zatim validirati na stvarnim podacima. Ovaj će rad pružiti nastavni korak za razvoj sustava dubokog učenja za područje detekcije egzoplaneta koje se iz godine u godinu povećava.
Keywords
Keywords (croatian)
Languageenglish
URN:NBNurn:nbn:hr:166:810469
Study programmeTitle: Data Science and Engineering
Study programme type: university
Study level: graduate
Academic / professional title: sveučilišni/a magistar/magistra podatkovne znanosti i inženjerstva (sveučilišni/a magistar/magistra podatkovne znanosti i inženjerstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-10-23 10:43:13