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master's thesis
Potraga za egzoplanetima primjenom algoritama u programskom jeziku Python
Zagreb: University of Zagreb, Faculty of Science, 2021. urn:nbn:hr:217:256101
Pajas, Matija
University of Zagreb
Faculty of Science
Department of Physics

Institutional repository: Repository of the Faculty of Science

Cite this document

Pajas, M. (2021). Potraga za egzoplanetima primjenom algoritama u programskom jeziku Python (Master's thesis). Zagreb: University of Zagreb, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:217:256101

Pajas, Matija. "Potraga za egzoplanetima primjenom algoritama u programskom jeziku Python." Master's thesis, University of Zagreb, Faculty of Science, 2021. https://urn.nsk.hr/urn:nbn:hr:217:256101

Pajas, Matija. "Potraga za egzoplanetima primjenom algoritama u programskom jeziku Python." Master's thesis, University of Zagreb, Faculty of Science, 2021. https://urn.nsk.hr/urn:nbn:hr:217:256101

Pajas, M. (2021). 'Potraga za egzoplanetima primjenom algoritama u programskom jeziku Python', Master's thesis, University of Zagreb, Faculty of Science, accessed 15 May 2024, https://urn.nsk.hr/urn:nbn:hr:217:256101

Pajas M. Potraga za egzoplanetima primjenom algoritama u programskom jeziku Python [Master's thesis]. Zagreb: University of Zagreb, Faculty of Science; 2021 [cited 2024 May 15] Available at: https://urn.nsk.hr/urn:nbn:hr:217:256101

M. Pajas, "Potraga za egzoplanetima primjenom algoritama u programskom jeziku Python", Master's thesis, University of Zagreb, Faculty of Science, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:217:256101

Metadata
TitlePotraga za egzoplanetima primjenom algoritama u programskom jeziku Python
Title (english)Search for exoplanets using algorithms in programming language Python
AuthorMatija Pajas
MentorGoranka Bilalbegović (mentor)
Committee memberGoranka Bilalbegović (predsjednik povjerenstva)
Committee memberMatko Glunčić (član povjerenstva)
Committee memberKatarina Jeličić (član povjerenstva)
Committee memberDalibor Paar (član povjerenstva)
Committee memberMaja Planinić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Science
(Department of Physics)
Zagreb
Defense date and country2021-07-12, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Physics
Abstract
Egzoplaneti su planeti koji se nalaze izvan Sunčevog sustava. Oni su fascinantni astronomima i amaterima koji žele pronaći planete s izvanzemaljskim oblicima života. Snimanjem zvijezda pomoću satelitskih teleskopa, kao što su Kepler i TESS, pronašlo se puno egzoplaneta. Ručno analiziranje teleskopskih podataka vrlo je težak i dugotrajan posao. Moguće je smanjiti broj kandidata za ručnu provjeru primjenom strojnog učenja i drugih naprednih računalnih metoda. Koristili smo logističku regresiju i stabla odlučivanja za klasifikaciju zvijezda na one koje imaju i one koje nemaju egzoplanete. Usporedili smo rezultate te dvije metode strojnog učenja. U metodičkom dijelu raspravljamo važnost astronomskih projekata u znanosti za građanstvo i njihovu moguću ulogu u školama. Pored toga predstavljena je nastavna priprema za održavanje sata o Newtonovom zakonu gravitacije.
Abstract (english)
Exoplanets are planets outside the Solar system. They are fascinating for astronomers and amateurs wanting to find planets with signs of extraterrestrial life forms. By capturing starlight using space telescopes, such as Kepler and TESS, many exoplanets have been discovered. Manual analysis of telescope data is a very tedious and long-lasting job. It is possible to reduce data for manual analysis using machine learning and other advanced computational methods. We used logistic regression and decision trees to classify stars by the presence of exoplanets and compared the results of both algorithms. In the methodical section we discuss the importance of astronomy projects in citizen science, as well as their possible role in schools. We also present the preparation material for teaching Newton’s law of universal gravitation.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:217:256101
Study programmeTitle: Physics and Computer Science; specializations in: Education
Course: Education
Study programme type: university
Study level: integrated undergraduate and graduate
Academic / professional title: magistar/magistra edukacije fizike i informatike (magistar/magistra edukacije fizike i informatike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2021-07-23 11:56:32