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RIS citation export for MOPA89: RHIC Electron Beam Cooling Analysis Using Principle Component and Autoencoder Analysis

TY  - CONF
AU  - Tran, A.D.
AU  - Gu, X.
AU  - Hao, Y.
ED  - Biedron, Sandra
ED  - Simakov, Evgenya
ED  - Milton, Stephen
ED  - Anisimov, Petr M.
ED  - Schaa, Volker R.W.
TI  - RHIC Electron Beam Cooling Analysis Using Principle Component and Autoencoder Analysis
J2  - Proc. of NAPAC2022, Albuquerque, NM, USA, 07-12 August 2022
CY  - Albuquerque, NM, USA
T2  - International Particle Accelerator Conference
T3  - 5
LA  - english
AB  - Principal component analysis and autoencoder analysis were used to analyze the experimental data of RHIC operation with low energy RHIC electron cooling (LEReC). This is unsupervised learning which includes electron beam settings and observable during operation. Both analyses were used to gauge the dimensional reducibility of the data and to understand which features are important to beam cooling.
PB  - JACoW Publishing
CP  - Geneva, Switzerland
SP  - 260
EP  - 262
KW  - luminosity
KW  - electron
KW  - ECR
KW  - network
KW  - beam-cooling
DA  - 2022/10
PY  - 2022
SN  - 2673-7000
SN  - 978-3-95450-232-5
DO  - doi:10.18429/JACoW-NAPAC2022-MOPA89
UR  - https://jacow.org/napac2022/papers/mopa89.pdf
ER  -