Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Analysis of spherical particle distributions observed on the WIND spacecraft
2007 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

WIND is a NASA spacecraft built to observe the solar wind. Since many phenomena like auroras are related to the solar wind and it has also an influence on all the spectra measured on Earth, therefore it is important to explore its behaviour. On board the spacecraft the SST, EESA and PESA instruments measure the electron and ion flux of the solar wind. These data have been further investigated. Access to existing data sets from the database of the WIND mission provided by University of Berkeley, USA, has been gained through some IDL library functions that have been specifically programmed for the purpose of preprocessing and presenting data. A statistical analysis of the present data is conducted using mostly Mathematica. After examining the data for false measurements and general characteristic attributes, like minima, maxima, mean value and variance, more sophisticated statistical derivations have been computed for gaining the knowledge about the spherical statistical behaviour which is thought to be describable by the von Mises-Fisher distribution or similar functional distributions. Therefore the data were examined first for the mean direction which defines one major part of the simulating, theoretical distribution expectation. It was found out that in the main solar events can be modelled by distributions defined on a sphere and therefore missing or wrong data can be reconstructed.

Place, publisher, year, edition, pages
2007.
Keywords [en]
Physics Chemistry Maths, spherical particle distributions, WIND, space physics, solar, wind, mathematica
Keywords [sv]
Fysik, Kemi, Matematik
Identifiers
URN: urn:nbn:se:ltu:diva-48761ISRN: LTU-PB-EX--07/087--SELocal ID: 63094a4d-434f-4960-917c-dfd9dfbc6708OAI: oai:DiVA.org:ltu-48761DiVA, id: diva2:1022106
Subject / course
Student thesis, at least 15 credits
Educational program
Space Engineering, master's level
Examiners
Note
Validerat; 20101217 (root)Available from: 2016-10-04 Created: 2016-10-04Bibliographically approved

Open Access in DiVA

fulltext(2322 kB)41 downloads
File information
File name FULLTEXT01.pdfFile size 2322 kBChecksum SHA-512
42c32f8fb4c5a42688339643bf05068697344cd9d79cac53c1e55bf0be6b2e5e56bec0f6c0724e876f10d25e3ce22d046fa144fa53ce41e03f39c93f850f175c
Type fulltextMimetype application/pdf

Search outside of DiVA

GoogleGoogle Scholar
Total: 41 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 17 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf