Probing Trees Annual Rings For The Effects of Volcanic Eruptions Using PIXE

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http://urn.fi/URN:NBN:fi:hulib-201906172964
Julkaisun nimi: Probing Trees Annual Rings For The Effects of Volcanic Eruptions Using PIXE
Tekijä: Adio, Luqmon
Muu tekijä: Helsingin yliopisto, Matemaattis-luonnontieteellinen tiedekunta
Julkaisija: Helsingin yliopisto
Päiväys: 2019
Kieli: eng
URI: http://urn.fi/URN:NBN:fi:hulib-201906172964
http://hdl.handle.net/10138/303244
Opinnäytteen taso: pro gradu -tutkielmat
Koulutusohjelma: Materiaalitutkimuksen maisteriohjelma
Master's Programme in Materials Research
Magisterprogrammet i materialforskning
Opintosuunta: Fysiikka
Physics
Fysik
Oppiaine: none
Tiivistelmä: Particle Induced X-ray Emission (PIXE) was originally introduced as an ion-beam analytical technique in Lund in the 1970s and has since then been part of the available techniques in many laboratories around the world. The external beam PIXE set-up is used in probing the annual tree rings. The goal is to see the effects of volcanic eruption activities from the perspectives of tree plants here in Finland. In the theory part, I tried to include the description of how volcanoes are formed and created with a bit of volcanic activity history, the growth metabolism mechanism in tree plants and characteristics x-ray productions. The two tree sample used for this experiment were gotten from two different regions of Finland. The first tree is a Pine tree from Parikkala(a small place near Savolinna) in the south-eastern part of Finland and the second tree is a Spruce tree from Pielavesi (place near Kuopio) in the central part of Finland. These samples were carefully prepared for ionisation. The collected spectra data were analysed in a software called PyMCA. PyMCA has been developed by the Software Group of the European Synchrotron Radiation Facility (ESRF). PyMCA is a ready to use and in many aspects state-of-the-art, set of applications implementing most of the needs of X-ray fluorescence data analysis. PyMCA is use to interpret X-ray fluorescence spectra from a diverse array of samples


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