Lazarus, I H, Appelbe, D E, Butler, P A et al. (14 more authors) (2001) The GREAT triggerless total data readout method. IEEE Transactions on Nuclear Science. pp. 567-569. ISSN 0018-9499
Abstract
Recoil decay tagging (RDT) is a very powerful method for the spectroscopy of exotic nuclei. RDT is a delayed coincidence technique between detectors usually at the target position and at the focal plane of a spectrometer. Such measurements are often limited by dead time. This paper describes a novel triggerless data acquisition method, which is being developed for the Gamma Recoil Electron Alpha Tagging (GREAT) spectrometer, that overcomes this limitation by virtually eliminating dead time. Our solution is a total data readout (TDR) method where all channels run independently and are associated in software to reconstruct events. The TDR method allows all the data from both target position and focal plane to be collected with practically no dead-time losses. Each data word is associated with a timestamp generated from a global 100-MHz clock. Events are then reconstructed in real time in the event builder using temporal and spatial associations defined by the physics of the experiment
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | Copyright © 2001 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
Keywords: | alpha-particle spectroscopy,beta-ray spectroscopy,coincidence circuits,data acquisition,gamma-ray spectroscopy,nuclear physics,triggering,SPECTROSCOPY,ELECTRON |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Physics (York) |
Depositing User: | Repository Officer |
Date Deposited: | 01 Feb 2006 |
Last Modified: | 19 Feb 2025 00:05 |
Published Version: | https://doi.org/10.1109/23.940120 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1109/23.940120 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:969 |