Viterbi decoding of CRES signals in Project 8
Name
Ashtari_Esfahani_2022_New_J._Phys._24_053013.pdf
Description
Published version
Size
3.05 MB
Format
Adobe PDF
Checksum (MD5)
24c64d5c82324a1a2204e92f6018888d
Author(s)
Z Bogorad
N Buzinsky
J A Formaggio
J Johnston
J I Pena
J Stachurska
W Van De Pontseele
E Zayas
Date Issued
May 6, 2022
Journal
New Journal of Physics
Publisher
IOP Publishing
Citation
A Ashtari Esfahani et al 2022 New J. Phys. 24 053013
Version
Final published version
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.
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Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1088/1367-2630/ac66f6
