Cyclotron radiation emission spectroscopy signal classification with machine learning in project 8

A Ashtari Esfahani; S Böser; N Buzinsky; R Cervantes; C Claessens; L de Viveiros; M Fertl; J A Formaggio; L Gladstone; M Guigue; K M Heeger; J Johnston; A M Jones; K Kazkaz; B H LaRoque; A Lindman; E Machado; B Monreal; E C Morrison; J A Nikkel; E Novitski; N S Oblath; W Pettus; R G H Robertson; G Rybka; L Saldaña; V Sibille; M Schram; P L Slocum; Y-H Sun; T Thümmler; B A VanDevender; T E Weiss; T Wendler; E Zayas

doi:10.1088/1367-2630/ab71bd

Paper • The following article is Open access

Cyclotron radiation emission spectroscopy signal classification with machine learning in project 8

A Ashtari Esfahani¹, S Böser², N Buzinsky³, R Cervantes¹, C Claessens², L de Viveiros⁴, M Fertl^1,2, J A Formaggio³, L Gladstone⁵, M Guigue^10,6, K M Heeger⁷, J Johnston³, A M Jones⁶, K Kazkaz⁸, B H LaRoque⁶, A Lindman², E Machado¹, B Monreal⁵, E C Morrison⁶, J A Nikkel⁷, E Novitski¹, N S Oblath⁶, W Pettus¹, R G H Robertson¹, G Rybka¹, L Saldaña⁷, V Sibille³, M Schram⁶, P L Slocum⁷, Y-H Sun⁵, T Thümmler⁹, B A VanDevender⁶, T E Weiss³, T Wendler⁴ and E Zayas³

Published 3 March 2020 • © 2020 The Author(s). Published by IOP Publishing Ltd on behalf of the Institute of Physics and Deutsche Physikalische Gesellschaft
New Journal of Physics, Volume 22, March 2020 Citation A Ashtari Esfahani et al 2020 New J. Phys. 22 033004 DOI 10.1088/1367-2630/ab71bd

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Cyclotron radiation emission spectroscopy signal classification with machine learning in project 8

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