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Please use this identifier to cite or link to this item: https://olympias.lib.uoi.gr/jspui/handle/123456789/16777
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dc.contributor.authorPerivolaropoulos, Leandrosen
dc.date.accessioned2015-11-24T18:33:40Z-
dc.date.available2015-11-24T18:33:40Z-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/16777-
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dc.titleA New statistic for the detection of long strings in microwave background mapsen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Επιστημών και Τεχνολογιών. Τμήμα Βιολογικών Εφαρμογών και Τεχνολογιώνel
heal.publicationDate1997-
heal.abstractA new statistic is briefly reviewed, designed to detect isolated coherent step-like discontinuities produced by cosmic strings present at late times. As a background I superpose a scale invariant Gaussian random field which could have been produced by a superposition of seeds on all scales and/or by inflationary quantum fluctuations. The statistical variable considered is the Sample Mean Difference (SMD) between large neighbouring sectors of CMB maps, separated by lines in two dimensional maps and points in one dimensional maps. I find that the SMD statistics can detect at the $1\sigma$ level the presense of a long string with $G\mu (v_s \gamma_s)={1\over {8\pi}}({{\delta T}\over T})_{rms} \simeq 0.5 \times 10^{-7}$ while more conventional statistics like the skewness or the kurtosis require a value of $G\mu$ almost an order of magnitude larger for detectability at a comparable level.en
heal.journalTypepeer reviewed-
heal.fullTextAvailabilityTRUE-
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