Warning
Some papers have malformed authors, please correct this before using these references.
Favourites
For Word
[n] C. Emma, O. R. Convery, A. L. Edelen, and M. J. Hogan, “Progress Towards Machine Learning-Based Real-Time Non-Destructive Prediction of the Longitudinal Phase Space Evolution in a Particle Accelerator”, presented at the IBIC'21, Pohang, Korea, Sep. 2021, paper THOA03, unpublished.
[n] J. P. Edelen, E. G. Carlin, M. V. Keilman, P. Moeller, and R. Nagler, “A cloud based toolbox for accelerator controls interfaces and optimization”, presented at the ICALEPCS'21, Shanghai, China, Oct. 2021, paper THPV017, unpublished.
For LaTeX
Use Complete Form
For BibTeX
References
- C. Emma, O. R. Convery, A. L. Edelen, and M. J. Hogan, “Progress Towards Machine Learning-Based Real-Time Non-Destructive Prediction of the Longitudinal Phase Space Evolution in a Particle Accelerator”, presented at the 10th Int. Beam Instrumentation Conf. (IBIC'21), Pohang, Korea, Sep. 2021, paper THOA03, unpublished.
- J. P. Edelen, E. G. Carlin, M. V. Keilman, P. Moeller, and R. Nagler, “A cloud based toolbox for accelerator controls interfaces and optimization”, presented at the 18th Int. Conf. on Accelerator and Large Experimental Physics Control Systems (ICALEPCS'21), Shanghai, China, Oct. 2021, paper THPV017, unpublished.
Back to search