Efficient Antihydrogen Detection in Antimatter Physics by Deep Learning

@article{Sadowski2017EfficientAD,
  title={Efficient Antihydrogen Detection in Antimatter Physics by Deep Learning},
  author={Peter Sadowski and Balint Radics and Ananya and Yasunori Yamazaki and Pierre Baldi},
  journal={ArXiv},
  year={2017},
  volume={abs/1706.01826}
}
  • Peter Sadowski, Balint Radics, +2 authors Pierre Baldi
  • Published in ArXiv 2017
  • Physics, Computer Science
  • Antihydrogen is at the forefront of antimatter research at the CERN Antiproton Decelerator. Experiments aiming to test the fundamental CPT symmetry and antigravity effects require the efficient detection of antihydrogen annihilation events, which is performed using highly granular tracking detectors installed around an antimatter trap. Improving the efficiency of the antihydrogen annihilation detection plays a central role in the final sensitivity of the experiments. We propose deep learning as… CONTINUE READING
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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 19 REFERENCES

    GBar collaboration)

    • P. Prez
    • Hyperfine Interactions 233,
    • 2015

    Journal of Machine Learning Research

    • P. Sadowski, J. Collado, D. Whiteson, P. Baldi
    • Workshop and Conference Proceedings 42, 81
    • 2015

    Phys

    • P. Baldi, P. Sadowski, D. Whiteson
    • Rev. Letters 114, 111801
    • 2015

    AEGIS collaboration)

    • S. Aghion
    • Nature Communications
    • 2014

    ASACUSA collaboration)

    • N. Kuroda
    • Nature Communications
    • 2014
    VIEW 3 EXCERPTS

    Artificial Intelligence 210C

    • P. Baldi, P. Sadowski
    • 78
    • 2014
    VIEW 1 EXCERPT

    and D

    • P. Baldi, P. Sadowski
    • Whiteson, Nature Communications 5
    • 2014

    and S

    • S. Cazaux, T. Lerch
    • Aune, “Detecteur courbe de particules gazeux,”
    • 2014
    VIEW 1 EXCERPT

    I and J

    VIEW 1 EXCERPT