The Joint Accelerator Conferences Website (JACoW) is an international collaboration that publishes the proceedings of accelerator conferences held around the world.
TY - CONF
AU - Fol, E.
AU - Garcia, H.
AU - Tomás García, R.
ED - Liu, Lin
ED - Byrd, John M.
ED - Neuenschwander, Regis T.
ED - Picoreti, Renan
ED - Schaa, Volker R. W.
TI - Reconstruction of Linear Optics Observables Using Supervised Learning
J2 - Proc. of IPAC2021, Campinas, SP, Brazil, 24-28 May 2021
CY - Campinas, SP, Brazil
T2 - International Particle Accelerator Conference
T3 - 12
LA - english
AB - In the LHC, most of the optical functions can be obtained from turn-by-turn beam centroid data. However, the measurement of such observables as β^{*} and the dispersion function require special dedicated techniques and additional operational time. In this work, we propose an alternative approach to estimate these observables using supervised machine learning, in case the dedicated measurements are not available but turn-by-turn data are. The performance of developed estimators is demonstrated on LHC simulations. Comparison to traditional techniques for the computation of beta-function will be also provided.
PB - JACoW Publishing
CP - Geneva, Switzerland
SP - 3875
EP - 3878
KW - optics
KW - simulation
KW - target
KW - operation
KW - MMI
DA - 2021/08
PY - 2021
SN - 2673-5490
SN - 978-3-95450-214-1
DO - doi:10.18429/JACoW-IPAC2021-THPAB055
UR - https://jacow.org/ipac2021/papers/thpab055.pdf
ER -