3D track extraction from a fluorescent nuclear track detector via machine learning and an application to diagnostics of laser-driven ions.

MLA

Nikaido, F., et al. “3D Track Extraction from a Fluorescent Nuclear Track Detector via Machine Learning and an Application to Diagnostics of Laser-Driven Ions.” Review of Scientific Instruments, vol. 95, no. 10, Oct. 2024, pp. 1–6. EBSCOhost, https://doi.org/10.1063/5.0219480.

APA

Nikaido, F., Abe, Y., Minami, T., Kuramoto, K., Yasui, T., Sakai, K., Kanasaki, M., Fukuda, Y., Kiriyama, H., Jao, C. S., Chu, C. M., Wu, K. T., Woon, W. Y., Liu, Y. L., Pikuz, T., Hamaguchi, S., Saura, N., Benkadda, S., Kusumoto, T., & Kodaira, S. (2024). 3D track extraction from a fluorescent nuclear track detector via machine learning and an application to diagnostics of laser-driven ions. Review of Scientific Instruments, 95(10), 1–6. https://doi.org/10.1063/5.0219480

Chicago

Nikaido, F., Y. Abe, T. Minami, K. Kuramoto, T. Yasui, K. Sakai, M. Kanasaki, et al. 2024. “3D Track Extraction from a Fluorescent Nuclear Track Detector via Machine Learning and an Application to Diagnostics of Laser-Driven Ions.” Review of Scientific Instruments 95 (10): 1–6. doi:10.1063/5.0219480.