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Please use this identifier to cite or link to this item: http://hdl.handle.net/2248/2451
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dc.contributor.authorRazdan, A-
dc.contributor.authorHaungs, A-
dc.contributor.authorRebel, H-
dc.contributor.authorBhat, C. L-
dc.date.accessioned2008-06-19T06:22:50Z-
dc.date.available2008-06-19T06:22:50Z-
dc.date.issued2002-
dc.identifier.citationBASI, Vol. 30, No. 1, pp. 357 - 360en
dc.identifier.urihttp://hdl.handle.net/2248/2451-
dc.description.abstractWe make a comparative study of the classification potential of various image and non-image parameters which are measurable with the TACTIC array focal plane instrumentation. The image parameters include conventional Hillas parameters and multifractal dimensions and wavelet moments. Similarly the parameters derived from non-image Cerenkov data consist of pulse profile rise time and base width and the relative ultravoilet to visible light fluxes of the cerenkov events. It is shown by the artificial neural net approach that suitable combinations of these parameters can bring about an efficient segregation of various event types, even for modest sized data samples of progenitor gamma-rays and cosmic ray hadrons.en
dc.format.extent334046 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoenen
dc.publisherAstronomical Society of Indiaen
dc.relation.urihttp://adsabs.harvard.edu/abs/2002BASI...30..357Ren
dc.subjectMultifractalsen
dc.subjectTACTICen
dc.subjectANNen
dc.subjectWaveletsen
dc.subjectU/V and Time Profilesen
dc.titleNovel image and non-image parameters for efficient characterisation of atmospheric Cerenkov imagesen
dc.typeArticleen
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