Real-time Signal Detection for Cyclotron Radiation Emission Spectroscopy Measurements using Antenna Arrays
A. Ashtari Esfahani, S. Böser, N. Buzinsky, M. C. Carmona-Benitez, C. Claessens, L. de Viveiros, M. Fertl, J. A. Formaggio, B. T. Foust, J. K. Gaison, M. Grando… 展开作者
A. Ashtari Esfahani, S. Böser, N. Buzinsky, M. C. Carmona-Benitez, C. Claessens, L. de Viveiros, M. Fertl, J. A. Formaggio, B. T. Foust, J. K. Gaison, M. Grando, J. Hartse, K. M. Heeger, X. Huyan, A. M. Jones, B. J. P. Jones, K. Kazkaz, B. H. LaRoque, M. Li, A. Lindman, A. Marsteller, C. Matthé, R. Mohiuddin, B. Monreal, B. Mucogllava, R. Mueller, A. Negi, J. A. Nikkel, E. Novitski, N. S. Oblath, M. Oueslati, J. I. Peña, W. Pettus, R. Reimann, R. G. H. Robertson, G. Rybka, L. Saldaña, P. L. Slocum, J. Stachurska, Y. -H. Sun, P. T. Surukuchi, J. R. Tedeschi, A. B. Telles, F. Thomas, L. A. Thorne, T. Thümmler, W. Van De Pontselle, B. A. VanDevender, T. E. Weiss, T. Wendler, A. Ziegler
Cyclotron Radiation Emission Spectroscopy (CRES) is a technique for precision measurement of the energies of charged particles, which is being developed by the Project 8 Collaboration to measure the neutrino mass using tritium beta-decay spectroscopy. Project 8 seeks to use the CRES technique to measure the neutrino mass with a sensitivity of 40~meV, requiring a large supply of tritium atoms stored in a multi-cubic meter detector volume. Antenna arrays are one potential technology compatible with an experiment of this scale, but the capability of an antenna-based CRES experiment to measure the neutrino mass depends on the efficiency of the signal detection algorithms. In this paper, we develop efficiency models for three signal detection algorithms and compare them using simulations from a prototype antenna-based CRES experiment as a case-study. The algorithms include a power threshold, a matched filter template bank, and a neural network based machine learning approach, which are analyzed in terms of their average detection efficiency and relative computational cost. It is found that significant improvements in detection efficiency and, therefore, neutrino mass sensitivity are achievable, with only a moderate increase in computation cost, by utilizing either the matched filter or machine learning approach in place of a power threshold, which is the baseline signal detection algorithm used in previous CRES experiments by Project 8.
Cyclotron Radiation Signal Characterization in Resonant Cavities for the Project 8 Neutrino Mass Experiment
TRIUMF（特里厄姆夫实验室）；University of Washington（华盛顿大学）；Pennsylvania State University（宾夕法尼亚州立大学）；Massachusetts Institute of Technology（麻省理工学院）；Johannes Gutenberg University Mainz（美因茨约翰内斯古腾堡大学）；Indiana University（印第安纳大学）
