Blue: A database for high-fold γ-ray coincidence data

M. Cromaz*, T. J.M. Symons, G. J. Lane, I. Y. Lee, R. W. MacLeod

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

61 Citations (Scopus)

Abstract

Optimal sensitivity in large HPGe γ-ray spectrometers such as Gammasphere and Euroball is achieved with 4-fold γ-ray coincidences or higher. Analysis of coincidence data at these folds is difficult as storage constraints make histogram-based techniques impractical. To address the problem of efficient storage of and access to high-fold coincidence data we have developed Blue, a specialized database program. Each coincidence event in this database is stored in its native fold eliminating statistical artifacts which can be introduced by unfolding a high-fold event to several lower-fold events. Partition of the dataset is based on the density distribution of coincidence events which makes data access efficient. A simple yet flexible query system is implemented by using a tree-like index for these partitions. This program is capable of executing a variety of queries, such as taking gates on a multi-fold database, at timescales which are interactive (s) or near-interactive (min). Simple compression techniques are employed so that databases with sizes of 109 coincidences can easily be stored in a space of 10 Gb or less.

Original languageEnglish
Pages (from-to)519-529
Number of pages11
JournalNuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
Volume462
Issue number3
DOIs
Publication statusPublished - 21 Apr 2001
Externally publishedYes

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