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Principal-component analysis of gamma-ray bursts' spectra
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2005 (English)In: Nuovo cimento della societa italiana de fisica. C, Geophysics and space physics, ISSN 1124-1896, E-ISSN 1826-9885, Vol. 28, no 3, 295-298 p.Article in journal (Refereed) Published
Abstract [en]

The principal-component analysis is a statistical method, which lowers the number of important variables in a data set. The use of this method for the bursts' spectra and afterglows is discussed in this paper. The analysis indicates that three principal components are enough among the eight ones to describe the variablity of the data. The correlation between the spectral index a and the redshift suggests that the thermal emission component becomes more dominant at larger redshifts.

Place, publisher, year, edition, pages
2005. Vol. 28, no 3, 295-298 p.
Identifiers
URN: urn:nbn:se:kth:diva-15217DOI: 10.1393/ncc/i2005-10045-1ISI: 000233646000012OAI: oai:DiVA.org:kth-15217DiVA: diva2:333258
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QC 20100525Available from: 2010-08-05 Created: 2010-08-05 Last updated: 2012-03-01Bibliographically approved

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Ryde, Felix

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