Optimising resistive charge-division strip detectors for low energy charged-particle spectroscopy

SMITH, Robin, BISHOP, Jack, KOKALOVA, Tz., WHELDON, Carl, FREER, Martin, CURTIS, Neil, HAIDER, Zeshan and PARKER, D.J. (2018). Optimising resistive charge-division strip detectors for low energy charged-particle spectroscopy. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, 901, 14-20.

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Official URL: https://www.sciencedirect.com/science/article/pii/...
Link to published version:: https://doi.org/10.1016/j.nima.2018.05.052
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    Abstract

    Two novel approaches to improving the signal-to-background ratio (SBR) for silicon resistive charge-division strip detectors (RSDs), when performing low energy charged-particle spectroscopy, are presented. Firstly, the normally-unutilized rear contact of the detector was used to veto events where the charge collected by this rear face did not match the sum of the charges collected by the strips on the front. Secondly, leading edge discriminator time walk was used to determine complementary information about the hit position along a strip. Using this alongside the position extracted from the charge division allowed clearer identification of true events over background, leading to an improved SBR. These methods were tested by measuring radiation from a triple-α source and then the 12C(4He,α)ααα breakup reaction at 40 MeV beam energy. The first method was found to improve the SBR by a factor of 4.0(2). The second method gave a SBR improve- ment of factor of 3.7(4). When both methods are applied together, a total improvement by a factor of 5.7(3) was measured.

    Item Type: Article
    Research Institute, Centre or Group - Does NOT include content added after October 2018: Materials and Engineering Research Institute > Polymers Nanocomposites and Modelling Research Centre
    Departments - Does NOT include content added after October 2018: Faculty of Science, Technology and Arts > Department of Engineering and Mathematics
    Identification Number: https://doi.org/10.1016/j.nima.2018.05.052
    Page Range: 14-20
    Depositing User: Robin Smith
    Date Deposited: 31 May 2018 11:59
    Last Modified: 26 May 2019 01:18
    URI: http://shura.shu.ac.uk/id/eprint/21398

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