Viterbi decoding of CRES signals in Project 8
Abstract 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.
- Research Organization:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States); Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Sponsoring Organization:
- National Science Foundation (NSF); USDOE; USDOE Laboratory Directed Research and Development (LDRD) Program. Lawrence Livermore National Laboratory (LLNL); USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC), Nuclear Physics (NP)
- Grant/Contract Number:
- AC05-76RL01830; AC52-07NA27344; FG02-97ER41020; SC0011091; SC0012654; SC0019088; SC0020433
- OSTI ID:
- 1866515
- Report Number(s):
- LLNL-JRNL-830010; PNNL-SA-169354
- Journal Information:
- New Journal of Physics, Journal Name: New Journal of Physics Journal Issue: 5 Vol. 24; ISSN 1367-2630
- Publisher:
- IOP PublishingCopyright Statement
- Country of Publication:
- United Kingdom
- Language:
- English
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