Copertina

Deep Learning Based Event Reconstruction for Cyclotron Radiation Emission Spectroscopy

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Esfahani, A. Ashtari, Böser, S., Buzinsky, N., Carmona-Benitez, M. C., Cervantes, R., Claessens, C., de Viveiros, L., Fertl, M., Formaggio, J. A., Gaison, J. K., Gladstone, L., Grando, M., Guigue, M., Hartse, J., Heeger, K. M., Huyan, X., Jones, A. M., Kazkaz, K., Li, M., Lindman, A., Marsteller, A., Matthé, C., Mohiuddin, R., Monreal, B., Morrison, E. C., Mueller, R., Nikkel, J. A., Novitski, E., Oblath, N. S., Peña, J. I., Pettus, W., Reimann, R., Robertson, R. G. H., Saldaña, L., Schram, M., Slocum, P. L., Stachurska, J., Sun, Y. -H., Surukuchi, P. T., Telles, A. B., Thomas, F., Thomas, M., Thorne, L. A., Thümmler, T., Tvrznikova, L., Van De Pontseele, W., VanDevender, B. A., Weiss, T. E., Wendler, T., Zayas, E., Ziegler, A.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Instrumentation and Detectors Nuclear Experiment
Accesso online:	Acceder al recurso
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