| Autor: |
A Ashtari Esfahani, Z Bogorad, S Böser, N Buzinsky, C Claessens, L de Viveiros, M Fertl, J A Formaggio, L Gladstone, M Grando, M Guigue, J Hartse, K M Heeger, X Huyan, J Johnston, A M Jones, K Kazkaz, B H LaRoque, M Li, A Lindman, C Matthé, R Mohiuddin, B Monreal, J A Nikkel, E Novitski, N S Oblath, J I Peña, W Pettus, R Reimann, R G H Robertson, G Rybka, L Saldaña, M Schram, P L Slocum, J Stachurska, Y-H Sun, P T Surukuchi, A B Telles, F Thomas, M Thomas, T Thümmler, L Tvrznikova, W Van De Pontseele, B A VanDevender, T E Weiss, T Wendler, E Zayas, A Ziegler |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
New Journal of Physics, Vol 24, Iss 5, p 053013 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
1367-2630 |
| DOI: |
10.1088/1367-2630/ac66f6 |
| Popis: |
Cyclotron radiation emission spectroscopy (CRES) is a modern approach for determining charged particle energies via high-precision frequency measurements of the emitted cyclotron radiation. For CRES experiments with gas within the fiducial volume, signal and noise dynamics can be modelled by a hidden Markov model. We introduce a novel application of the Viterbi algorithm in order to derive informational limits on the optimal detection of cyclotron radiation signals in this class of gas-filled CRES experiments, thereby providing concrete limits from which future reconstruction algorithms, as well as detector designs, can be constrained. The validity of the resultant decision rules is confirmed using both Monte Carlo and Project 8 data. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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