High multiplicity α-particle breakup measurements to study α-condensate states

BISHOP, J, KOKALOVA, Tz, FREER, M, ASSIE, M, ACOSTA, L, BAILEY, S, CARDELLA, G, CURTIS, N, DE FILIPPO, E, DELL’AQUILA, D, DE LUCA, S, FRANCALANZA, L, GNOFFO, B, LANZALONE, G, LOMBARDO, I, MARTORANA, N, NORELLA, S, PAGANO, A, PAPA, N, PIRRONE, S, POLITI, G, RIZZO, F, RUSSOTTO, P, QUATTROCCHI, L, SMITH, Robin, STEFAN, I, TRIFIRO, A, TRIMARCH, M, VERDE, G, VIGILANTE, M and WHELDON, C (2017). High multiplicity α-particle breakup measurements to study α-condensate states. Journal of Physics: Conference Series, 863 (1), 012070.

[img]
Preview
PDF
Bishop_2017_J._Phys.%3A_Conf._Ser._863_012070.pdf - Published Version
Creative Commons Attribution.

Download (387kB) | Preview
Official URL: http://iopscience.iop.org/article/10.1088/1742-659...
Link to published version:: https://doi.org/10.1088/1742-6596/863/1/012070
Related URLs:

    Abstract

    An experiment was performed to investigate α-condensate states via high α-particle multiplicity breakup. The nucleus of interest was 28Si therefore to measure multiplicity 7 particle breakup events, a highly granular detector with a high solid angle coverage was required. For this purpose, the CHIMERA and FARCOS detectors at INFN LNS were employed. Particle identification was achieved through ΔE-E energy loss. The α-particle multiplicity was measured at three beam energies to investigate different excitation regimes in 28Si. At a beam energy where the energy is sufficient to provide the 7 α-particles with enough energy to be identified using the ΔE-E method, multiplicity 7 events can be seen. Given these high multiplicity events, the particles can be reconstructed to investigate the breakup of α-condensate states. Analysing the decay paths of these states can elucidate whether the state of interest corresponds to a non-cluster, clustered or condensed state.

    Item Type: Article
    Additional Information: 11th International Conference on Clustering Aspects of Nuclear Structure and Dynamics
    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/10.1088/1742-6596/863/1/012070
    Page Range: 012070
    Depositing User: Robin Smith
    Date Deposited: 01 Oct 2018 15:46
    Last Modified: 24 Jun 2020 12:00
    URI: http://shura.shu.ac.uk/id/eprint/21583

    Actions (login required)

    View Item View Item

    Downloads

    Downloads per month over past year

    View more statistics