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undergraduate thesis
Monte Carlo analiza radioaktivnog raspada
2019. urn:nbn:hr:166:937079
Pervan, Marija
University of Split
Faculty of Science
Department of Physics

Cite this document

Pervan, M. (2019). Monte Carlo analiza radioaktivnog raspada (Undergraduate thesis). Split: University of Split, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:166:937079

Pervan, Marija. "Monte Carlo analiza radioaktivnog raspada." Undergraduate thesis, University of Split, Faculty of Science, 2019. https://urn.nsk.hr/urn:nbn:hr:166:937079

Pervan, Marija. "Monte Carlo analiza radioaktivnog raspada." Undergraduate thesis, University of Split, Faculty of Science, 2019. https://urn.nsk.hr/urn:nbn:hr:166:937079

Pervan, M. (2019). 'Monte Carlo analiza radioaktivnog raspada', Undergraduate thesis, University of Split, Faculty of Science, accessed 25 October 2024, https://urn.nsk.hr/urn:nbn:hr:166:937079

Pervan M. Monte Carlo analiza radioaktivnog raspada [Undergraduate thesis]. Split: University of Split, Faculty of Science; 2019 [cited 2024 October 25] Available at: https://urn.nsk.hr/urn:nbn:hr:166:937079

M. Pervan, "Monte Carlo analiza radioaktivnog raspada", Undergraduate thesis, University of Split, Faculty of Science, Split, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:166:937079

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Metadata
TitleMonte Carlo analiza radioaktivnog raspada
Title (english)Monte Carlo analysis of radioactive decay
AuthorMarija Pervan
MentorPetar Stipanović (mentor)
Committee memberPetar Stipanović (predsjednik povjerenstva)
Committee memberLarisa Zoranić (član povjerenstva)
Committee memberMarko Kovač (član povjerenstva)
GranterUniversity of Split
Faculty of Science
(Department of Physics)
Split
Defense date and country2019-09-23, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Physics
Abstract
Atom je najmanja jedinica na koju se materija može dijeliti, a da element i dalje zadržava svoja karakteristična svojstva. Sastoji se od elektrona i jezgre. Jezgre atoma mogu biti stabilne ili radioaktivne. Ako su radioaktivne, jezgre procesom radioaktivnog raspada prelaze u nove jezgre. Ovaj proces primjer je dobivanja pravog niza slučajnih brojeva u prirodi. Monte Carlo kao stohastička metoda pogodna je za procjenu broja raspadnutih jezgara i njihovih vjerojatnosti raspadanja budući da za simulacije koristi nizove slučajno generiranih brojeva. Za preciznije rezultate koristi se više nezavisnih sustava. Raspad u nezavisnim sustavima može se promatrati u jednom vremenskom segmentu pa se mogu pronaći vjerojatnosti raspada pojedinog broja jezgara. Ako je vjerojatnost radioaktivnog raspada dovoljno mala, vjerojatnost raspada pojedinog broja jezgara može se prikazati Poissonovom razdiobom.
Abstract (english)
An atom is the smallest unit of matter that retains all of the chemical properties of an element. An atom consists of electrons and the atomic nucleus. Atomic nuclei can be stable or radioactive. If they are radioactive, they decay in new nuclei. Radioactive decay is an example of obtaining a true random number sequence in nature. Monte Carlo is a stochastic method and as such it is convenient for evaluating number of decayed nuclei and their decay probabilities because Monte Carlo uses random number sequences for its simulations. For more precise results we can use multiple independent systems. Radioactive decay in these independent systems can be observed in particular time interval so we can obtain probability of a decay for a certain number of nuclei. If the overall probability of radioactive decay is small enough, we can use Poisson distribution to obtain these probabilities.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:166:937079
Study programmeTitle: Physics
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) fizike (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) fizike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
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Created on2019-11-22 10:26:01