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Discriminating Multiple Transient Point-Like Sources

Authors: D. B. Cline; T. A. Foshe; E. J. Fenyves; R. C. Chaney; S. N. Balog; D. J. Suson;

Discriminating Multiple Transient Point-Like Sources

Abstract

ABSTRACT The distinguishing of point -like man made gamma ray sources from point like astrophysical or cosmological sources can be achieved by analyzing the line structure of the gamma ray spectrum in the 0.5 - 10 MeV energy range. A special computer program has been developed for this analysis and tested in Monte Carlo simulations. An application of this method has been made for burster manifestations of superconducting cosmic strings using the High Resolution Gamma Ray Telescope developed by the UTD /UCLA collaboration. 1. INTRODUCTION In this report we describe a computer system aimed at interactive studies of the indentification of point sources of radiation in a background limiting situation. The application could be for the (1) midcourse discrimination ofheavy projectiles or the detection of (2) Astrophysical sources such as bursters and binary star systems. We start with a brief discussion of the method recently proposed for (1).We proposed a scheme of midcourse discrimination of heavy projectiles from lightweight decoys based on threeprinciples in reference 1:

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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