Novel image and non-image parameters for efficient characterisation of atmospheric Cerenkov images

dc.contributor.author	Razdan, A
dc.contributor.author	Haungs, A
dc.contributor.author	Rebel, H
dc.contributor.author	Bhat, C. L
dc.date.accessioned	2008-06-19T06:22:50Z
dc.date.available	2008-06-19T06:22:50Z
dc.date.issued	2002
dc.identifier.citation	BASI, Vol. 30, No. 1, pp. 357 - 360	en
dc.identifier.uri	http://hdl.handle.net/2248/2451
dc.description.abstract	We 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.extent	334046 bytes
dc.format.mimetype	application/pdf
dc.language.iso	en	en
dc.publisher	Astronomical Society of India	en
dc.relation.uri	http://adsabs.harvard.edu/abs/2002BASI...30..357R	en
dc.subject	Multifractals	en
dc.subject	TACTIC	en
dc.subject	ANN	en
dc.subject	Wavelets	en
dc.subject	U/V and Time Profiles	en
dc.title	Novel image and non-image parameters for efficient characterisation of atmospheric Cerenkov images	en
dc.type	Article	en