1971
DOI: 10.1016/0029-554x(71)90250-3
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On geometry of tracks in dielectric nuclear track detectors

Abstract: TWO-WEEK LOAN COPY This is a Library Circulating Copy which may be borrowed for two weeks. For a personal retention copy, call Tech. Info. Division, Ext. 5545 UCRL-20852 Preprint c.~ c:

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Cited by 149 publications
(30 citation statements)
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“…This indicates that the observed differences in the data for the front and back surfaces is due to energy deposition effects in the SSNTD, which is known to affect the resulting track shape 26 . The ratio of track to bulk etch rate, as discussed in Sec.…”
Section: Discussionmentioning
confidence: 98%
See 1 more Smart Citation
“…This indicates that the observed differences in the data for the front and back surfaces is due to energy deposition effects in the SSNTD, which is known to affect the resulting track shape 26 . The ratio of track to bulk etch rate, as discussed in Sec.…”
Section: Discussionmentioning
confidence: 98%
“…The theory of track formation in SSNTDs is welldeveloped 26,27 . In the idealized case the particle's energy deposition in the bulk material creates a region in which the chemical composition of the material is altered.…”
Section: Track Formationmentioning
confidence: 99%
“…In amorphous solid state detectors such as plastics and glasses, the only parameter that Data\IJP\July 2009\05 Mohan Singh.p65 affects the track opening shape is the angle of the projectile with the detector surface i.e. the dip angle [10,11]. By the variation of dip angle the eccentricity of the elliptical etch pit opening change.…”
Section: Introductionmentioning
confidence: 99%
“…The etched out precise shape and size of conical hole in the plastic correlates with the high precision path, energy, and the identity of the particle [35,37,38] that has traversed the medium causing the loss of uniformity in the medium. The chemical etching rate at a given point correlates with the amount of damage received which, in turn, correlates with the rate of energy loss by the ion.…”
Section: Transience Of Information and Emergence Of Modelsmentioning
confidence: 99%