Search Results - "Spooner, N J C"

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    Demonstration of ThGEM-Multiwire Hybrid Charge Readout for Directional Dark Matter Searches by Ezeribe, A. C, Eldridge, C, Lynch, W, Gregorio, R. R. Marcelo, Scarff, A, Spooner, N. J. C

    Published 23-11-2020
    “…Sensitivities of current directional dark matter search detectors using gas time projection chambers are now constrained by target mass. A ton-scale gas TPC…”
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    Journal Article
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    First data from DM-Ice17 by Cherwinka, J., Grant, D., Halzen, F., Heeger, K. M., Hsu, L., Hubbard, A. J. F., Karle, A., Kauer, M., Kudryavtsev, V. A., Macdonald, C., Maruyama, R. H., Paling, S., Pettus, W., Pierpoint, Z. P., Reilly, B. N., Robinson, M., Sandstrom, P., Spooner, N. J. C., Telfer, S., Yang, L.

    “…We report the first analysis of background data from DM-Ice17, a direct-detection dark matter experiment consisting of 17 kg of Nal(TI) target material. It was…”
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    Journal Article
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    Improved Sensitivity of the DRIFT-IId Directional Dark Matter Experiment using Machine Learning by Battat, J. B. R, Eldridge, C, Ezeribe, A. C, Gaunt, O. P, Gauvreau, J. -L, Gregorio, R. R. Marcelo, Habich, E. K. K, Hall, K. E, Harton, J. L, Ingabire, I, Lafler, R, Loomba, D, Lynch, W. A, Paling, S. M, Pan, A. Y, Scarff, A, SchuckmanII, F. G, Snowden-Ifft, D. P, Spooner, N. J. C, Toth, C, Xu, A. A

    Published 08-06-2021
    “…We demonstrate a new type of analysis for the DRIFT-IId directional dark matter detector using a machine learning algorithm called a Random Forest Classifier…”
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    Journal Article
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    Performance of 20:1 multiplexer for large area charge readouts in directional dark matter TPC detectors by Ezeribe, A. C, Robinson, M, Robinson, N, Scarff, A, Spooner, N. J. C, Yuriev, L

    Published 12-03-2018
    “…More target mass is required in current TPC based directional dark matter detectors for improved detector sensitivity. This can be achieved by scaling up the…”
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    Journal Article
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