Fast pulse detection algorithms for digitized waveforms from scintillators

Advanced C++ programming methods as well as fast Pulse Detection Algorithms (PDA) have been implemented in order to increase the computing speed of a LabVIEW™ data processing software developed for a Digital Pulse Shape Discrimination (DPSD) system for liquid scintillators. The newly implemented PDAs are described and compared: the most efficient method has been implemented in the data processing software, which has also been ported into C++. The comparison of the computing speeds of the new and old versions of the PDAs are presented.Program summaryProgram title: DPDS – Digital Pulse Detection SoftwareCatalogue identifier: AEHQ_v1_0Program summary URL:http://cpc.cs.qub.ac.uk/summaries/AEHQ_v1_0.htmlProgram obtainable from: CPC Program Library, Queen's University, Belfast, N. IrelandLicensing provisions: Standard CPC licence, http://cpc.cs.qub.ac.uk/licence/licence.htmlNo. of lines in distributed program, including test data, etc.: 454 070No. of bytes in distributed program, including test data, etc.: 20 987 104Distribution format: tar.gzProgramming language: C++ (Borland Visual C++)Computer: IBM PCOperating system: MS Windows 2000 and later…RAM: <50 Mbytes, highly depends on settingsClassification: 4.12External routines: Only standard Borland Visual C++ librariesNature of problem: A very slow pulse detection algorithm, used as standard in LABView, is preventing the ability to process achieved data during the pause between plasma discharges in modern tokamaks.Solution method: Simple yet precise pulse detection algorithms implemented and the whole data processing software translated from LABView into C++. This speeded up the elaboration up to 30 times.Restrictions: Windows system decimal separator must be “.”, not “,”.Additional comments: Processing 300 MB data file should not take longer then 10 minutes.Running time: From 1 minute to 1 hour.